var_grid-Copy1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import geopandas as gpd\n",
    "import fiona\n",
    "import os\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from shapely.geometry import Polygon, LineString, Point\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>MULTIPOLYGON (((127.02366 37.50691, 127.02365 ...</td>\n",
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       "      <td>MULTIPOLYGON (((127.06216 37.50166, 127.06215 ...</td>\n",
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       "<p>9133 rows × 4 columns</p>\n",
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      ],
      "text/plain": [
       "           gid  2030val           layer  \\\n",
       "0     다사579454     77.0  강남구 20,30대 인구수   \n",
       "1     다사613448     66.0  강남구 20,30대 인구수   \n",
       "2     다사585452      0.0  강남구 20,30대 인구수   \n",
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       "...        ...      ...             ...   \n",
       "9128  다사559438      NaN  서초구 20,30대 인구수   \n",
       "9129  다사618387      NaN  서초구 20,30대 인구수   \n",
       "9130  다사559464      NaN  서초구 20,30대 인구수   \n",
       "9131  다사585417      NaN  서초구 20,30대 인구수   \n",
       "9132  다사548430      NaN  서초구 20,30대 인구수   \n",
       "\n",
       "                                               geometry  \n",
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       "1     MULTIPOLYGON (((127.06216 37.50166, 127.06215 ...  \n",
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       "3     MULTIPOLYGON (((127.02817 37.50874, 127.02817 ...  \n",
       "4     MULTIPOLYGON (((127.03849 37.48714, 127.03848 ...  \n",
       "...                                                 ...  \n",
       "9128  MULTIPOLYGON (((127.00113 37.49240, 127.00112 ...  \n",
       "9129  MULTIPOLYGON (((127.06813 37.44669, 127.06813 ...  \n",
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       "9132  MULTIPOLYGON (((126.98873 37.48514, 126.98873 ...  \n",
       "\n",
       "[9133 rows x 4 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = gpd.read_file('data/서울시 격자 인구 데이터/강남서초2030대인구수 - 복사본.geojson')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>강남구 20,30대 인구수</td>\n",
       "      <td>MULTIPOLYGON (((127.02366 37.50691, 127.02365 ...</td>\n",
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       "      <td>다사613448</td>\n",
       "      <td>66.0</td>\n",
       "      <td>강남구 20,30대 인구수</td>\n",
       "      <td>MULTIPOLYGON (((127.06216 37.50166, 127.06215 ...</td>\n",
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       "      <td>다사585452</td>\n",
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       "    <tr>\n",
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       "      <td>MULTIPOLYGON (((127.00097 37.51583, 127.00097 ...</td>\n",
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       "    <tr>\n",
       "      <th>9131</th>\n",
       "      <td>다사585417</td>\n",
       "      <td>0.0</td>\n",
       "      <td>서초구 20,30대 인구수</td>\n",
       "      <td>MULTIPOLYGON (((127.03066 37.47359, 127.03065 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9132</th>\n",
       "      <td>다사548430</td>\n",
       "      <td>0.0</td>\n",
       "      <td>서초구 20,30대 인구수</td>\n",
       "      <td>MULTIPOLYGON (((126.98873 37.48514, 126.98873 ...</td>\n",
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      ],
      "text/plain": [
       "           gid  2030val           layer  \\\n",
       "0     다사579454     77.0  강남구 20,30대 인구수   \n",
       "1     다사613448     66.0  강남구 20,30대 인구수   \n",
       "2     다사585452      0.0  강남구 20,30대 인구수   \n",
       "3     다사583456    227.0  강남구 20,30대 인구수   \n",
       "4     다사592432     85.0  강남구 20,30대 인구수   \n",
       "...        ...      ...             ...   \n",
       "9128  다사559438      0.0  서초구 20,30대 인구수   \n",
       "9129  다사618387      0.0  서초구 20,30대 인구수   \n",
       "9130  다사559464      0.0  서초구 20,30대 인구수   \n",
       "9131  다사585417      0.0  서초구 20,30대 인구수   \n",
       "9132  다사548430      0.0  서초구 20,30대 인구수   \n",
       "\n",
       "                                               geometry  \n",
       "0     MULTIPOLYGON (((127.02366 37.50691, 127.02365 ...  \n",
       "1     MULTIPOLYGON (((127.06216 37.50166, 127.06215 ...  \n",
       "2     MULTIPOLYGON (((127.03046 37.50514, 127.03045 ...  \n",
       "3     MULTIPOLYGON (((127.02817 37.50874, 127.02817 ...  \n",
       "4     MULTIPOLYGON (((127.03849 37.48714, 127.03848 ...  \n",
       "...                                                 ...  \n",
       "9128  MULTIPOLYGON (((127.00113 37.49240, 127.00112 ...  \n",
       "9129  MULTIPOLYGON (((127.06813 37.44669, 127.06813 ...  \n",
       "9130  MULTIPOLYGON (((127.00097 37.51583, 127.00097 ...  \n",
       "9131  MULTIPOLYGON (((127.03066 37.47359, 127.03065 ...  \n",
       "9132  MULTIPOLYGON (((126.98873 37.48514, 126.98873 ...  \n",
       "\n",
       "[9133 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[data['2030val'].apply(pd.isna), '2030val'] = 0\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 격자 데이터\n",
    "data_gid = data[['gid', 'geometry']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <td>다사613448</td>\n",
       "      <td>MULTIPOLYGON (((127.06216 37.50166, 127.06215 ...</td>\n",
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       "      <th>2</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>MULTIPOLYGON (((127.02817 37.50874, 127.02817 ...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사592432</td>\n",
       "      <td>MULTIPOLYGON (((127.03849 37.48714, 127.03848 ...</td>\n",
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       "      <th>9128</th>\n",
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       "      <td>다사618387</td>\n",
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       "      <th>9130</th>\n",
       "      <td>다사559464</td>\n",
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       "    <tr>\n",
       "      <th>9131</th>\n",
       "      <td>다사585417</td>\n",
       "      <td>MULTIPOLYGON (((127.03066 37.47359, 127.03065 ...</td>\n",
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       "    <tr>\n",
       "      <th>9132</th>\n",
       "      <td>다사548430</td>\n",
       "      <td>MULTIPOLYGON (((126.98873 37.48514, 126.98873 ...</td>\n",
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       "<p>9133 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "           gid                                           geometry\n",
       "0     다사579454  MULTIPOLYGON (((127.02366 37.50691, 127.02365 ...\n",
       "1     다사613448  MULTIPOLYGON (((127.06216 37.50166, 127.06215 ...\n",
       "2     다사585452  MULTIPOLYGON (((127.03046 37.50514, 127.03045 ...\n",
       "3     다사583456  MULTIPOLYGON (((127.02817 37.50874, 127.02817 ...\n",
       "4     다사592432  MULTIPOLYGON (((127.03849 37.48714, 127.03848 ...\n",
       "...        ...                                                ...\n",
       "9128  다사559438  MULTIPOLYGON (((127.00113 37.49240, 127.00112 ...\n",
       "9129  다사618387  MULTIPOLYGON (((127.06813 37.44669, 127.06813 ...\n",
       "9130  다사559464  MULTIPOLYGON (((127.00097 37.51583, 127.00097 ...\n",
       "9131  다사585417  MULTIPOLYGON (((127.03066 37.47359, 127.03065 ...\n",
       "9132  다사548430  MULTIPOLYGON (((126.98873 37.48514, 126.98873 ...\n",
       "\n",
       "[9133 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_gid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 도로 서초 강남"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data19 = gpd.read_file(\"output/그리드 전처리 완료/도로/도로서초강남.geojson\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 2679/2679 [04:05<00:00, 10.90it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data19.shape[0])):\n",
    "    point = data19['geometry'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>1</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        gid  TL_cnt\n",
       "0        Na    2421\n",
       "1  다사541426       1\n",
       "2  다사541427       2\n",
       "3  다사542420       2\n",
       "4  다사542428       1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19['gid'] = gid_list\n",
    "data19['TL_cnt']=1\n",
    "result19 = data19[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result19.reset_index(inplace=True)\n",
    "data19 =result19\n",
    "data19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>다사652404</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>다사652405</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>다사652416</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>다사653416</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>212 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0          Na    2421\n",
       "1    다사541426       1\n",
       "2    다사541427       2\n",
       "3    다사542420       2\n",
       "4    다사542428       1\n",
       "..        ...     ...\n",
       "207  다사652404       1\n",
       "208  다사652405       1\n",
       "209  다사652416       1\n",
       "210  다사653416       1\n",
       "211  다사662413       1\n",
       "\n",
       "[212 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>211 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "1    다사541426       1\n",
       "2    다사541427       2\n",
       "3    다사542420       2\n",
       "4    다사542428       1\n",
       "5    다사542429       1\n",
       "..        ...     ...\n",
       "207  다사652404       1\n",
       "208  다사652405       1\n",
       "209  다사652416       1\n",
       "210  다사653416       1\n",
       "211  다사662413       1\n",
       "\n",
       "[211 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19 = data19.drop(index=0, axis=0)\n",
    "data19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "data19.to_csv(\"outp# ut/서초강남횡단보도부착대전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 버스정류장 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data19 = gpd.read_file(\"output/그리드 전처리 완료/도로/인도서초강남final.geojson\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 10674/10674 [16:59<00:00, 10.47it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data19.shape[0])):\n",
    "    point = data19['geometry'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>1</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        gid  TL_cnt\n",
       "0        Na    2421\n",
       "1  다사541426       1\n",
       "2  다사541427       2\n",
       "3  다사542420       2\n",
       "4  다사542428       1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19['gid'] = gid_list\n",
    "data19['TL_cnt']=1\n",
    "result19 = data19[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result19.reset_index(inplace=True)\n",
    "data19 =result19\n",
    "data19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>다사652405</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
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       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>다사653416</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>212 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0          Na    2421\n",
       "1    다사541426       1\n",
       "2    다사541427       2\n",
       "3    다사542420       2\n",
       "4    다사542428       1\n",
       "..        ...     ...\n",
       "207  다사652404       1\n",
       "208  다사652405       1\n",
       "209  다사652416       1\n",
       "210  다사653416       1\n",
       "211  다사662413       1\n",
       "\n",
       "[212 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>다사652416</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>다사653416</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>211 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "1    다사541426       1\n",
       "2    다사541427       2\n",
       "3    다사542420       2\n",
       "4    다사542428       1\n",
       "5    다사542429       1\n",
       "..        ...     ...\n",
       "207  다사652404       1\n",
       "208  다사652405       1\n",
       "209  다사652416       1\n",
       "210  다사653416       1\n",
       "211  다사662413       1\n",
       "\n",
       "[211 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19 = data19.drop(index=0, axis=0)\n",
    "data19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "data19.to_csv(\"outp# ut/서초강남횡단보도부착대전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARS-ID</th>\n",
       "      <th>표준ID</th>\n",
       "      <th>정류소명</th>\n",
       "      <th>X좌표</th>\n",
       "      <th>Y좌표</th>\n",
       "      <th>17시승차총승객수</th>\n",
       "      <th>18시승차총승객수</th>\n",
       "      <th>19시승차총승객수</th>\n",
       "      <th>20시승차총승객수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22001</td>\n",
       "      <td>121000001</td>\n",
       "      <td>교육개발원입구</td>\n",
       "      <td>127.038342</td>\n",
       "      <td>37.478514</td>\n",
       "      <td>157.025210</td>\n",
       "      <td>203.605042</td>\n",
       "      <td>112.638655</td>\n",
       "      <td>95.067227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22002</td>\n",
       "      <td>121000002</td>\n",
       "      <td>교육개발원입구</td>\n",
       "      <td>127.038676</td>\n",
       "      <td>37.477767</td>\n",
       "      <td>409.878788</td>\n",
       "      <td>659.681818</td>\n",
       "      <td>270.151515</td>\n",
       "      <td>166.909091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22003</td>\n",
       "      <td>121000003</td>\n",
       "      <td>양재역.서초문화예술회관</td>\n",
       "      <td>127.035847</td>\n",
       "      <td>37.482522</td>\n",
       "      <td>330.729167</td>\n",
       "      <td>466.736111</td>\n",
       "      <td>386.590278</td>\n",
       "      <td>309.013889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22004</td>\n",
       "      <td>121000004</td>\n",
       "      <td>양재역.서초문화예술회관</td>\n",
       "      <td>127.036825</td>\n",
       "      <td>37.481871</td>\n",
       "      <td>271.461538</td>\n",
       "      <td>333.762821</td>\n",
       "      <td>215.237179</td>\n",
       "      <td>166.044872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22005</td>\n",
       "      <td>121000005</td>\n",
       "      <td>뱅뱅사거리</td>\n",
       "      <td>127.032367</td>\n",
       "      <td>37.487592</td>\n",
       "      <td>163.512315</td>\n",
       "      <td>203.635468</td>\n",
       "      <td>134.817734</td>\n",
       "      <td>112.167488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161</th>\n",
       "      <td>23972</td>\n",
       "      <td>122900097</td>\n",
       "      <td>수서교회.수서동성당앞</td>\n",
       "      <td>127.094743</td>\n",
       "      <td>37.483491</td>\n",
       "      <td>62.666667</td>\n",
       "      <td>55.416667</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>17.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>23981</td>\n",
       "      <td>122000286</td>\n",
       "      <td>삼성서울병원사거리</td>\n",
       "      <td>127.082862</td>\n",
       "      <td>37.488968</td>\n",
       "      <td>307.250000</td>\n",
       "      <td>151.916667</td>\n",
       "      <td>92.500000</td>\n",
       "      <td>71.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>23993</td>\n",
       "      <td>122900073</td>\n",
       "      <td>강남신동아파밀리에2단지</td>\n",
       "      <td>127.101538</td>\n",
       "      <td>37.464601</td>\n",
       "      <td>16.833333</td>\n",
       "      <td>20.041667</td>\n",
       "      <td>20.291667</td>\n",
       "      <td>19.791667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>23994</td>\n",
       "      <td>122000287</td>\n",
       "      <td>일원주유소.삼성서울병원후문</td>\n",
       "      <td>127.087681</td>\n",
       "      <td>37.490657</td>\n",
       "      <td>511.419355</td>\n",
       "      <td>324.870968</td>\n",
       "      <td>190.741935</td>\n",
       "      <td>155.516129</td>\n",
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       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>23995</td>\n",
       "      <td>122900074</td>\n",
       "      <td>리엔파크4단지.강남데시앙파크</td>\n",
       "      <td>127.101900</td>\n",
       "      <td>37.461227</td>\n",
       "      <td>210.250000</td>\n",
       "      <td>165.458333</td>\n",
       "      <td>61.583333</td>\n",
       "      <td>31.541667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1166 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ARS-ID       표준ID             정류소명         X좌표        Y좌표   17시승차총승객수  \\\n",
       "0      22001  121000001          교육개발원입구  127.038342  37.478514  157.025210   \n",
       "1      22002  121000002          교육개발원입구  127.038676  37.477767  409.878788   \n",
       "2      22003  121000003     양재역.서초문화예술회관  127.035847  37.482522  330.729167   \n",
       "3      22004  121000004     양재역.서초문화예술회관  127.036825  37.481871  271.461538   \n",
       "4      22005  121000005            뱅뱅사거리  127.032367  37.487592  163.512315   \n",
       "...      ...        ...              ...         ...        ...         ...   \n",
       "1161   23972  122900097      수서교회.수서동성당앞  127.094743  37.483491   62.666667   \n",
       "1162   23981  122000286        삼성서울병원사거리  127.082862  37.488968  307.250000   \n",
       "1163   23993  122900073     강남신동아파밀리에2단지  127.101538  37.464601   16.833333   \n",
       "1164   23994  122000287   일원주유소.삼성서울병원후문  127.087681  37.490657  511.419355   \n",
       "1165   23995  122900074  리엔파크4단지.강남데시앙파크  127.101900  37.461227  210.250000   \n",
       "\n",
       "       18시승차총승객수   19시승차총승객수   20시승차총승객수  \n",
       "0     203.605042  112.638655   95.067227  \n",
       "1     659.681818  270.151515  166.909091  \n",
       "2     466.736111  386.590278  309.013889  \n",
       "3     333.762821  215.237179  166.044872  \n",
       "4     203.635468  134.817734  112.167488  \n",
       "...          ...         ...         ...  \n",
       "1161   55.416667   15.500000   17.166667  \n",
       "1162  151.916667   92.500000   71.416667  \n",
       "1163   20.041667   20.291667   19.791667  \n",
       "1164  324.870968  190.741935  155.516129  \n",
       "1165  165.458333   61.583333   31.541667  \n",
       "\n",
       "[1166 rows x 9 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = pd.read_csv(\"output/강남구서초구정류장저녁승차.csv\")\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['bus_cnt']=1\n",
    "data1['X좌표'] = data1['X좌표'].astype(float)\n",
    "data1['Y좌표'] = data1['Y좌표'].astype(float)\n",
    "data1['point'] = data1.apply(lambda row : Point([row['X좌표'], row['Y좌표']]), axis=1)\n",
    "data1 = gpd.GeoDataFrame(data1, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARS-ID</th>\n",
       "      <th>표준ID</th>\n",
       "      <th>정류소명</th>\n",
       "      <th>X좌표</th>\n",
       "      <th>Y좌표</th>\n",
       "      <th>17시승차총승객수</th>\n",
       "      <th>18시승차총승객수</th>\n",
       "      <th>19시승차총승객수</th>\n",
       "      <th>20시승차총승객수</th>\n",
       "      <th>bus_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22001</td>\n",
       "      <td>121000001</td>\n",
       "      <td>교육개발원입구</td>\n",
       "      <td>127.038342</td>\n",
       "      <td>37.478514</td>\n",
       "      <td>157.025210</td>\n",
       "      <td>203.605042</td>\n",
       "      <td>112.638655</td>\n",
       "      <td>95.067227</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03834 37.47851)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22002</td>\n",
       "      <td>121000002</td>\n",
       "      <td>교육개발원입구</td>\n",
       "      <td>127.038676</td>\n",
       "      <td>37.477767</td>\n",
       "      <td>409.878788</td>\n",
       "      <td>659.681818</td>\n",
       "      <td>270.151515</td>\n",
       "      <td>166.909091</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03868 37.47777)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22003</td>\n",
       "      <td>121000003</td>\n",
       "      <td>양재역.서초문화예술회관</td>\n",
       "      <td>127.035847</td>\n",
       "      <td>37.482522</td>\n",
       "      <td>330.729167</td>\n",
       "      <td>466.736111</td>\n",
       "      <td>386.590278</td>\n",
       "      <td>309.013889</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03585 37.48252)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22004</td>\n",
       "      <td>121000004</td>\n",
       "      <td>양재역.서초문화예술회관</td>\n",
       "      <td>127.036825</td>\n",
       "      <td>37.481871</td>\n",
       "      <td>271.461538</td>\n",
       "      <td>333.762821</td>\n",
       "      <td>215.237179</td>\n",
       "      <td>166.044872</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03683 37.48187)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22005</td>\n",
       "      <td>121000005</td>\n",
       "      <td>뱅뱅사거리</td>\n",
       "      <td>127.032367</td>\n",
       "      <td>37.487592</td>\n",
       "      <td>163.512315</td>\n",
       "      <td>203.635468</td>\n",
       "      <td>134.817734</td>\n",
       "      <td>112.167488</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03237 37.48759)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1161</th>\n",
       "      <td>23972</td>\n",
       "      <td>122900097</td>\n",
       "      <td>수서교회.수서동성당앞</td>\n",
       "      <td>127.094743</td>\n",
       "      <td>37.483491</td>\n",
       "      <td>62.666667</td>\n",
       "      <td>55.416667</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>17.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.09474 37.48349)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>23981</td>\n",
       "      <td>122000286</td>\n",
       "      <td>삼성서울병원사거리</td>\n",
       "      <td>127.082862</td>\n",
       "      <td>37.488968</td>\n",
       "      <td>307.250000</td>\n",
       "      <td>151.916667</td>\n",
       "      <td>92.500000</td>\n",
       "      <td>71.416667</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08286 37.48897)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>23993</td>\n",
       "      <td>122900073</td>\n",
       "      <td>강남신동아파밀리에2단지</td>\n",
       "      <td>127.101538</td>\n",
       "      <td>37.464601</td>\n",
       "      <td>16.833333</td>\n",
       "      <td>20.041667</td>\n",
       "      <td>20.291667</td>\n",
       "      <td>19.791667</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10154 37.46460)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>23994</td>\n",
       "      <td>122000287</td>\n",
       "      <td>일원주유소.삼성서울병원후문</td>\n",
       "      <td>127.087681</td>\n",
       "      <td>37.490657</td>\n",
       "      <td>511.419355</td>\n",
       "      <td>324.870968</td>\n",
       "      <td>190.741935</td>\n",
       "      <td>155.516129</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08768 37.49066)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>23995</td>\n",
       "      <td>122900074</td>\n",
       "      <td>리엔파크4단지.강남데시앙파크</td>\n",
       "      <td>127.101900</td>\n",
       "      <td>37.461227</td>\n",
       "      <td>210.250000</td>\n",
       "      <td>165.458333</td>\n",
       "      <td>61.583333</td>\n",
       "      <td>31.541667</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10190 37.46123)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1166 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ARS-ID       표준ID             정류소명         X좌표        Y좌표   17시승차총승객수  \\\n",
       "0      22001  121000001          교육개발원입구  127.038342  37.478514  157.025210   \n",
       "1      22002  121000002          교육개발원입구  127.038676  37.477767  409.878788   \n",
       "2      22003  121000003     양재역.서초문화예술회관  127.035847  37.482522  330.729167   \n",
       "3      22004  121000004     양재역.서초문화예술회관  127.036825  37.481871  271.461538   \n",
       "4      22005  121000005            뱅뱅사거리  127.032367  37.487592  163.512315   \n",
       "...      ...        ...              ...         ...        ...         ...   \n",
       "1161   23972  122900097      수서교회.수서동성당앞  127.094743  37.483491   62.666667   \n",
       "1162   23981  122000286        삼성서울병원사거리  127.082862  37.488968  307.250000   \n",
       "1163   23993  122900073     강남신동아파밀리에2단지  127.101538  37.464601   16.833333   \n",
       "1164   23994  122000287   일원주유소.삼성서울병원후문  127.087681  37.490657  511.419355   \n",
       "1165   23995  122900074  리엔파크4단지.강남데시앙파크  127.101900  37.461227  210.250000   \n",
       "\n",
       "       18시승차총승객수   19시승차총승객수   20시승차총승객수  bus_cnt                       point  \n",
       "0     203.605042  112.638655   95.067227        1  POINT (127.03834 37.47851)  \n",
       "1     659.681818  270.151515  166.909091        1  POINT (127.03868 37.47777)  \n",
       "2     466.736111  386.590278  309.013889        1  POINT (127.03585 37.48252)  \n",
       "3     333.762821  215.237179  166.044872        1  POINT (127.03683 37.48187)  \n",
       "4     203.635468  134.817734  112.167488        1  POINT (127.03237 37.48759)  \n",
       "...          ...         ...         ...      ...                         ...  \n",
       "1161   55.416667   15.500000   17.166667        1  POINT (127.09474 37.48349)  \n",
       "1162  151.916667   92.500000   71.416667        1  POINT (127.08286 37.48897)  \n",
       "1163   20.041667   20.291667   19.791667        1  POINT (127.10154 37.46460)  \n",
       "1164  324.870968  190.741935  155.516129        1  POINT (127.08768 37.49066)  \n",
       "1165  165.458333   61.583333   31.541667        1  POINT (127.10190 37.46123)  \n",
       "\n",
       "[1166 rows x 11 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██| 1166/1166 [02:23<00:00,  8.15it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data1.shape[0])):\n",
    "    point = data1['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['gid'] = gid_list\n",
    "data1['TL_cnt']=1\n",
    "result1 = data1[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result1.reset_index(inplace=True)\n",
    "data1 =result1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Na</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사540452</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사541419</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사541421</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사541423</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>다사655420</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>다사658421</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>다사660408</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>다사662409</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>다사664410</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>779 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0          Na       1\n",
       "1    다사540452       2\n",
       "2    다사541419       1\n",
       "3    다사541421       1\n",
       "4    다사541423       1\n",
       "..        ...     ...\n",
       "774  다사655420       2\n",
       "775  다사658421       2\n",
       "776  다사660408       1\n",
       "777  다사662409       1\n",
       "778  다사664410       2\n",
       "\n",
       "[779 rows x 2 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Na</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  gid  TL_cnt\n",
       "0  Na       1"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1[data1[\"gid\"] == \"Na\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = data1.drop(index=0, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사540452</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사541419</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사541421</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사541423</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>다사542418</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>다사655420</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>다사658421</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>다사660408</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>다사662409</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>다사664410</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>778 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "1    다사540452       2\n",
       "2    다사541419       1\n",
       "3    다사541421       1\n",
       "4    다사541423       1\n",
       "5    다사542418       1\n",
       "..        ...     ...\n",
       "774  다사655420       2\n",
       "775  다사658421       2\n",
       "776  다사660408       1\n",
       "777  다사662409       1\n",
       "778  다사664410       2\n",
       "\n",
       "[778 rows x 2 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2.to_csv(\"output/서초강남버스정류장전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 지하철 역 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>역이름</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>04시-05시 승차인원</th>\n",
       "      <th>04시-05시 하차인원</th>\n",
       "      <th>05시-06시 승차인원</th>\n",
       "      <th>05시-06시 하차인원</th>\n",
       "      <th>06시-07시 승차인원</th>\n",
       "      <th>...</th>\n",
       "      <th>23시-24시 승차인원</th>\n",
       "      <th>23시-24시 하차인원</th>\n",
       "      <th>00시-01시 승차인원</th>\n",
       "      <th>00시-01시 하차인원</th>\n",
       "      <th>01시-02시 승차인원</th>\n",
       "      <th>01시-02시 하차인원</th>\n",
       "      <th>02시-03시 승차인원</th>\n",
       "      <th>02시-03시 하차인원</th>\n",
       "      <th>03시-04시 승차인원</th>\n",
       "      <th>03시-04시 하차인원</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>강남구청역</td>\n",
       "      <td>37.517201</td>\n",
       "      <td>127.041287</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>2319</td>\n",
       "      <td>2329</td>\n",
       "      <td>5879</td>\n",
       "      <td>...</td>\n",
       "      <td>5963</td>\n",
       "      <td>4919</td>\n",
       "      <td>31</td>\n",
       "      <td>720</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>강남역</td>\n",
       "      <td>37.498085</td>\n",
       "      <td>127.027978</td>\n",
       "      <td>85</td>\n",
       "      <td>6</td>\n",
       "      <td>5464</td>\n",
       "      <td>10853</td>\n",
       "      <td>15861</td>\n",
       "      <td>...</td>\n",
       "      <td>24062</td>\n",
       "      <td>12861</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>개포동역</td>\n",
       "      <td>37.489132</td>\n",
       "      <td>127.066103</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>687</td>\n",
       "      <td>1011</td>\n",
       "      <td>3267</td>\n",
       "      <td>...</td>\n",
       "      <td>650</td>\n",
       "      <td>2034</td>\n",
       "      <td>5</td>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>고속터미널역</td>\n",
       "      <td>37.504540</td>\n",
       "      <td>127.005135</td>\n",
       "      <td>162</td>\n",
       "      <td>8</td>\n",
       "      <td>7178</td>\n",
       "      <td>6966</td>\n",
       "      <td>14260</td>\n",
       "      <td>...</td>\n",
       "      <td>19976</td>\n",
       "      <td>14774</td>\n",
       "      <td>18</td>\n",
       "      <td>387</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>교대역</td>\n",
       "      <td>37.492736</td>\n",
       "      <td>127.013863</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>3120</td>\n",
       "      <td>7490</td>\n",
       "      <td>14922</td>\n",
       "      <td>...</td>\n",
       "      <td>9727</td>\n",
       "      <td>8907</td>\n",
       "      <td>2</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>구룡역</td>\n",
       "      <td>37.487027</td>\n",
       "      <td>127.059475</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>360</td>\n",
       "      <td>829</td>\n",
       "      <td>1312</td>\n",
       "      <td>...</td>\n",
       "      <td>170</td>\n",
       "      <td>936</td>\n",
       "      <td>8</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>구반포역</td>\n",
       "      <td>37.501422</td>\n",
       "      <td>126.987447</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>516</td>\n",
       "      <td>236</td>\n",
       "      <td>1717</td>\n",
       "      <td>...</td>\n",
       "      <td>376</td>\n",
       "      <td>1491</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>국회의사당역</td>\n",
       "      <td>37.528136</td>\n",
       "      <td>126.917821</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>607</td>\n",
       "      <td>1731</td>\n",
       "      <td>1777</td>\n",
       "      <td>...</td>\n",
       "      <td>2165</td>\n",
       "      <td>1061</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>남부터미널역</td>\n",
       "      <td>37.485185</td>\n",
       "      <td>127.016191</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>2452</td>\n",
       "      <td>1284</td>\n",
       "      <td>8012</td>\n",
       "      <td>...</td>\n",
       "      <td>4321</td>\n",
       "      <td>6529</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>남태령역</td>\n",
       "      <td>37.464246</td>\n",
       "      <td>126.989081</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>453</td>\n",
       "      <td>126</td>\n",
       "      <td>824</td>\n",
       "      <td>...</td>\n",
       "      <td>90</td>\n",
       "      <td>384</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>내방역</td>\n",
       "      <td>37.487655</td>\n",
       "      <td>126.993578</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2310</td>\n",
       "      <td>1360</td>\n",
       "      <td>6570</td>\n",
       "      <td>...</td>\n",
       "      <td>2472</td>\n",
       "      <td>4088</td>\n",
       "      <td>5</td>\n",
       "      <td>1406</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>녹사평역</td>\n",
       "      <td>37.534705</td>\n",
       "      <td>126.986536</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>878</td>\n",
       "      <td>412</td>\n",
       "      <td>1844</td>\n",
       "      <td>...</td>\n",
       "      <td>1751</td>\n",
       "      <td>1703</td>\n",
       "      <td>1</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>논현역</td>\n",
       "      <td>37.511187</td>\n",
       "      <td>127.021649</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1949</td>\n",
       "      <td>1307</td>\n",
       "      <td>4498</td>\n",
       "      <td>...</td>\n",
       "      <td>7625</td>\n",
       "      <td>4046</td>\n",
       "      <td>11</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>대모산입구역</td>\n",
       "      <td>37.491543</td>\n",
       "      <td>127.073070</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1703</td>\n",
       "      <td>1262</td>\n",
       "      <td>3541</td>\n",
       "      <td>...</td>\n",
       "      <td>327</td>\n",
       "      <td>1680</td>\n",
       "      <td>3</td>\n",
       "      <td>81</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>대청역</td>\n",
       "      <td>37.493701</td>\n",
       "      <td>127.079518</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>3190</td>\n",
       "      <td>1020</td>\n",
       "      <td>10337</td>\n",
       "      <td>...</td>\n",
       "      <td>978</td>\n",
       "      <td>5743</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>대치역</td>\n",
       "      <td>37.494486</td>\n",
       "      <td>127.063190</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2250</td>\n",
       "      <td>777</td>\n",
       "      <td>10589</td>\n",
       "      <td>...</td>\n",
       "      <td>2157</td>\n",
       "      <td>4227</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>도곡역</td>\n",
       "      <td>37.490976</td>\n",
       "      <td>127.055498</td>\n",
       "      <td>68</td>\n",
       "      <td>2</td>\n",
       "      <td>2054</td>\n",
       "      <td>1365</td>\n",
       "      <td>6886</td>\n",
       "      <td>...</td>\n",
       "      <td>1812</td>\n",
       "      <td>4104</td>\n",
       "      <td>22</td>\n",
       "      <td>1011</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>81</td>\n",
       "      <td>81</td>\n",
       "      <td>동작역</td>\n",
       "      <td>37.502971</td>\n",
       "      <td>126.980299</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>1627</td>\n",
       "      <td>499</td>\n",
       "      <td>2962</td>\n",
       "      <td>...</td>\n",
       "      <td>820</td>\n",
       "      <td>2322</td>\n",
       "      <td>5</td>\n",
       "      <td>954</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>매봉역</td>\n",
       "      <td>37.486925</td>\n",
       "      <td>127.046698</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1326</td>\n",
       "      <td>459</td>\n",
       "      <td>6454</td>\n",
       "      <td>...</td>\n",
       "      <td>1461</td>\n",
       "      <td>3340</td>\n",
       "      <td>0</td>\n",
       "      <td>332</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>반포역</td>\n",
       "      <td>37.508143</td>\n",
       "      <td>127.011582</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>596</td>\n",
       "      <td>2738</td>\n",
       "      <td>...</td>\n",
       "      <td>1667</td>\n",
       "      <td>1425</td>\n",
       "      <td>11</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>111</td>\n",
       "      <td>111</td>\n",
       "      <td>방배역</td>\n",
       "      <td>37.481456</td>\n",
       "      <td>126.997535</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2607</td>\n",
       "      <td>3446</td>\n",
       "      <td>9244</td>\n",
       "      <td>...</td>\n",
       "      <td>3362</td>\n",
       "      <td>6048</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>119</td>\n",
       "      <td>119</td>\n",
       "      <td>봉은사역</td>\n",
       "      <td>37.514237</td>\n",
       "      <td>127.060220</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1474</td>\n",
       "      <td>1068</td>\n",
       "      <td>4719</td>\n",
       "      <td>...</td>\n",
       "      <td>2163</td>\n",
       "      <td>1904</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>126</td>\n",
       "      <td>126</td>\n",
       "      <td>사당역</td>\n",
       "      <td>37.476553</td>\n",
       "      <td>126.981550</td>\n",
       "      <td>275</td>\n",
       "      <td>29</td>\n",
       "      <td>21237</td>\n",
       "      <td>4055</td>\n",
       "      <td>47923</td>\n",
       "      <td>...</td>\n",
       "      <td>14109</td>\n",
       "      <td>36907</td>\n",
       "      <td>13</td>\n",
       "      <td>2702</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>127</td>\n",
       "      <td>127</td>\n",
       "      <td>사평역</td>\n",
       "      <td>37.504233</td>\n",
       "      <td>127.015268</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>777</td>\n",
       "      <td>173</td>\n",
       "      <td>2917</td>\n",
       "      <td>...</td>\n",
       "      <td>392</td>\n",
       "      <td>1603</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>삼성역</td>\n",
       "      <td>37.508812</td>\n",
       "      <td>127.063021</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>4105</td>\n",
       "      <td>4724</td>\n",
       "      <td>6837</td>\n",
       "      <td>...</td>\n",
       "      <td>6998</td>\n",
       "      <td>4382</td>\n",
       "      <td>1</td>\n",
       "      <td>1712</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>130</td>\n",
       "      <td>130</td>\n",
       "      <td>삼성중앙역</td>\n",
       "      <td>37.512961</td>\n",
       "      <td>127.053026</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>730</td>\n",
       "      <td>479</td>\n",
       "      <td>2091</td>\n",
       "      <td>...</td>\n",
       "      <td>1180</td>\n",
       "      <td>1701</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>149</td>\n",
       "      <td>149</td>\n",
       "      <td>서초역</td>\n",
       "      <td>37.491836</td>\n",
       "      <td>127.007644</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>1260</td>\n",
       "      <td>4502</td>\n",
       "      <td>8928</td>\n",
       "      <td>...</td>\n",
       "      <td>3614</td>\n",
       "      <td>3206</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>154</td>\n",
       "      <td>154</td>\n",
       "      <td>선릉역</td>\n",
       "      <td>37.504494</td>\n",
       "      <td>127.048948</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>4225</td>\n",
       "      <td>7383</td>\n",
       "      <td>11972</td>\n",
       "      <td>...</td>\n",
       "      <td>12482</td>\n",
       "      <td>8782</td>\n",
       "      <td>59</td>\n",
       "      <td>533</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>156</td>\n",
       "      <td>156</td>\n",
       "      <td>선정릉역</td>\n",
       "      <td>37.510929</td>\n",
       "      <td>127.043614</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>1977</td>\n",
       "      <td>2173</td>\n",
       "      <td>5620</td>\n",
       "      <td>...</td>\n",
       "      <td>3157</td>\n",
       "      <td>3706</td>\n",
       "      <td>16</td>\n",
       "      <td>343</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>166</td>\n",
       "      <td>166</td>\n",
       "      <td>수서역</td>\n",
       "      <td>37.485284</td>\n",
       "      <td>127.104452</td>\n",
       "      <td>330</td>\n",
       "      <td>7</td>\n",
       "      <td>7563</td>\n",
       "      <td>4573</td>\n",
       "      <td>18120</td>\n",
       "      <td>...</td>\n",
       "      <td>6909</td>\n",
       "      <td>11385</td>\n",
       "      <td>11</td>\n",
       "      <td>998</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>신논현역</td>\n",
       "      <td>37.504808</td>\n",
       "      <td>127.025469</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>2782</td>\n",
       "      <td>1739</td>\n",
       "      <td>12190</td>\n",
       "      <td>...</td>\n",
       "      <td>7760</td>\n",
       "      <td>7767</td>\n",
       "      <td>6</td>\n",
       "      <td>571</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>신반포역</td>\n",
       "      <td>37.503495</td>\n",
       "      <td>126.996064</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>368</td>\n",
       "      <td>806</td>\n",
       "      <td>1846</td>\n",
       "      <td>...</td>\n",
       "      <td>512</td>\n",
       "      <td>1393</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>신사역</td>\n",
       "      <td>37.516431</td>\n",
       "      <td>127.020293</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "      <td>2420</td>\n",
       "      <td>1467</td>\n",
       "      <td>5240</td>\n",
       "      <td>...</td>\n",
       "      <td>6107</td>\n",
       "      <td>3801</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>압구정로데오역</td>\n",
       "      <td>37.527509</td>\n",
       "      <td>127.040591</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>1187</td>\n",
       "      <td>724</td>\n",
       "      <td>3231</td>\n",
       "      <td>...</td>\n",
       "      <td>3363</td>\n",
       "      <td>1708</td>\n",
       "      <td>29</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>199</td>\n",
       "      <td>199</td>\n",
       "      <td>압구정역</td>\n",
       "      <td>37.526485</td>\n",
       "      <td>127.028486</td>\n",
       "      <td>49</td>\n",
       "      <td>3</td>\n",
       "      <td>2827</td>\n",
       "      <td>1977</td>\n",
       "      <td>7469</td>\n",
       "      <td>...</td>\n",
       "      <td>4803</td>\n",
       "      <td>3777</td>\n",
       "      <td>5</td>\n",
       "      <td>844</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>202</td>\n",
       "      <td>202</td>\n",
       "      <td>양재역</td>\n",
       "      <td>37.484569</td>\n",
       "      <td>127.034146</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>4876</td>\n",
       "      <td>2382</td>\n",
       "      <td>13042</td>\n",
       "      <td>...</td>\n",
       "      <td>4743</td>\n",
       "      <td>9860</td>\n",
       "      <td>5</td>\n",
       "      <td>740</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>207</td>\n",
       "      <td>207</td>\n",
       "      <td>언주역</td>\n",
       "      <td>37.507328</td>\n",
       "      <td>127.033953</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1050</td>\n",
       "      <td>801</td>\n",
       "      <td>2419</td>\n",
       "      <td>...</td>\n",
       "      <td>1782</td>\n",
       "      <td>2655</td>\n",
       "      <td>1</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>역삼역</td>\n",
       "      <td>37.500660</td>\n",
       "      <td>127.036460</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "      <td>3075</td>\n",
       "      <td>7003</td>\n",
       "      <td>7618</td>\n",
       "      <td>...</td>\n",
       "      <td>10106</td>\n",
       "      <td>6425</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>239</td>\n",
       "      <td>239</td>\n",
       "      <td>이수역</td>\n",
       "      <td>37.486789</td>\n",
       "      <td>126.982203</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "      <td>4090</td>\n",
       "      <td>1042</td>\n",
       "      <td>8572</td>\n",
       "      <td>...</td>\n",
       "      <td>3972</td>\n",
       "      <td>6312</td>\n",
       "      <td>10</td>\n",
       "      <td>499</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>241</td>\n",
       "      <td>241</td>\n",
       "      <td>이태원역</td>\n",
       "      <td>37.534507</td>\n",
       "      <td>126.994320</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2046</td>\n",
       "      <td>950</td>\n",
       "      <td>4345</td>\n",
       "      <td>...</td>\n",
       "      <td>3618</td>\n",
       "      <td>4329</td>\n",
       "      <td>1</td>\n",
       "      <td>414</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>242</td>\n",
       "      <td>242</td>\n",
       "      <td>일원역</td>\n",
       "      <td>37.483985</td>\n",
       "      <td>127.084121</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2041</td>\n",
       "      <td>1367</td>\n",
       "      <td>7977</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>3473</td>\n",
       "      <td>2</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>246</td>\n",
       "      <td>246</td>\n",
       "      <td>잠원역</td>\n",
       "      <td>37.512883</td>\n",
       "      <td>127.011401</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>889</td>\n",
       "      <td>461</td>\n",
       "      <td>4546</td>\n",
       "      <td>...</td>\n",
       "      <td>585</td>\n",
       "      <td>2311</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>267</td>\n",
       "      <td>267</td>\n",
       "      <td>청담역</td>\n",
       "      <td>37.519448</td>\n",
       "      <td>127.053709</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>3667</td>\n",
       "      <td>5986</td>\n",
       "      <td>...</td>\n",
       "      <td>4014</td>\n",
       "      <td>2725</td>\n",
       "      <td>4</td>\n",
       "      <td>1252</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>269</td>\n",
       "      <td>269</td>\n",
       "      <td>총신대입구역</td>\n",
       "      <td>37.486789</td>\n",
       "      <td>126.982203</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>5727</td>\n",
       "      <td>839</td>\n",
       "      <td>15463</td>\n",
       "      <td>...</td>\n",
       "      <td>2334</td>\n",
       "      <td>9272</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>274</td>\n",
       "      <td>274</td>\n",
       "      <td>학동역</td>\n",
       "      <td>37.514357</td>\n",
       "      <td>127.031897</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1778</td>\n",
       "      <td>2439</td>\n",
       "      <td>4272</td>\n",
       "      <td>...</td>\n",
       "      <td>5617</td>\n",
       "      <td>2679</td>\n",
       "      <td>10</td>\n",
       "      <td>171</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>275</td>\n",
       "      <td>275</td>\n",
       "      <td>학여울역</td>\n",
       "      <td>37.496878</td>\n",
       "      <td>127.071153</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>539</td>\n",
       "      <td>286</td>\n",
       "      <td>1783</td>\n",
       "      <td>...</td>\n",
       "      <td>193</td>\n",
       "      <td>817</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>281</td>\n",
       "      <td>281</td>\n",
       "      <td>한티역</td>\n",
       "      <td>37.496275</td>\n",
       "      <td>127.052901</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>1911</td>\n",
       "      <td>1034</td>\n",
       "      <td>7008</td>\n",
       "      <td>...</td>\n",
       "      <td>3065</td>\n",
       "      <td>4300</td>\n",
       "      <td>59</td>\n",
       "      <td>231</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>47 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0  Unnamed: 0.1      역이름         위도          경도  04시-05시 승차인원  \\\n",
       "0            5             5    강남구청역  37.517201  127.041287             8   \n",
       "1            6             6      강남역  37.498085  127.027978            85   \n",
       "2           12            12     개포동역  37.489132  127.066103             2   \n",
       "3           20            20   고속터미널역  37.504540  127.005135           162   \n",
       "4           28            28      교대역  37.492736  127.013863            43   \n",
       "5           31            31      구룡역  37.487027  127.059475             0   \n",
       "6           32            32     구반포역  37.501422  126.987447             0   \n",
       "7           37            37   국회의사당역  37.528136  126.917821             3   \n",
       "8           48            48   남부터미널역  37.485185  127.016191            10   \n",
       "9           51            51     남태령역  37.464246  126.989081            46   \n",
       "10          52            52      내방역  37.487655  126.993578             3   \n",
       "11          57            57     녹사평역  37.534705  126.986536            14   \n",
       "12          59            59      논현역  37.511187  127.021649             5   \n",
       "13          64            64   대모산입구역  37.491543  127.073070             2   \n",
       "14          66            66      대청역  37.493701  127.079518            55   \n",
       "15          67            67      대치역  37.494486  127.063190             6   \n",
       "16          69            69      도곡역  37.490976  127.055498            68   \n",
       "17          81            81      동작역  37.502971  126.980299            33   \n",
       "18          97            97      매봉역  37.486925  127.046698             6   \n",
       "19         109           109      반포역  37.508143  127.011582             1   \n",
       "20         111           111      방배역  37.481456  126.997535             3   \n",
       "21         119           119     봉은사역  37.514237  127.060220             1   \n",
       "22         126           126      사당역  37.476553  126.981550           275   \n",
       "23         127           127      사평역  37.504233  127.015268             2   \n",
       "24         129           129      삼성역  37.508812  127.063021           115   \n",
       "25         130           130    삼성중앙역  37.512961  127.053026             0   \n",
       "26         149           149      서초역  37.491836  127.007644            25   \n",
       "27         154           154      선릉역  37.504494  127.048948            46   \n",
       "28         156           156     선정릉역  37.510929  127.043614            20   \n",
       "29         166           166      수서역  37.485284  127.104452           330   \n",
       "30         174           174     신논현역  37.504808  127.025469            31   \n",
       "31         182           182     신반포역  37.503495  126.996064             0   \n",
       "32         184           184      신사역  37.516431  127.020293            35   \n",
       "33         198           198  압구정로데오역  37.527509  127.040591            55   \n",
       "34         199           199     압구정역  37.526485  127.028486            49   \n",
       "35         202           202      양재역  37.484569  127.034146            67   \n",
       "36         207           207      언주역  37.507328  127.033953             4   \n",
       "37         210           210      역삼역  37.500660  127.036460            38   \n",
       "38         239           239      이수역  37.486789  126.982203            52   \n",
       "39         241           241     이태원역  37.534507  126.994320             4   \n",
       "40         242           242      일원역  37.483985  127.084121             3   \n",
       "41         246           246      잠원역  37.512883  127.011401             2   \n",
       "42         267           267      청담역  37.519448  127.053709            11   \n",
       "43         269           269   총신대입구역  37.486789  126.982203            75   \n",
       "44         274           274      학동역  37.514357  127.031897             3   \n",
       "45         275           275     학여울역  37.496878  127.071153             1   \n",
       "46         281           281      한티역  37.496275  127.052901            19   \n",
       "\n",
       "    04시-05시 하차인원  05시-06시 승차인원  05시-06시 하차인원  06시-07시 승차인원  ...  23시-24시 승차인원  \\\n",
       "0              0          2319          2329          5879  ...          5963   \n",
       "1              6          5464         10853         15861  ...         24062   \n",
       "2              0           687          1011          3267  ...           650   \n",
       "3              8          7178          6966         14260  ...         19976   \n",
       "4              0          3120          7490         14922  ...          9727   \n",
       "5              0           360           829          1312  ...           170   \n",
       "6              0           516           236          1717  ...           376   \n",
       "7              0           607          1731          1777  ...          2165   \n",
       "8              0          2452          1284          8012  ...          4321   \n",
       "9              0           453           126           824  ...            90   \n",
       "10             0          2310          1360          6570  ...          2472   \n",
       "11             0           878           412          1844  ...          1751   \n",
       "12             0          1949          1307          4498  ...          7625   \n",
       "13             0          1703          1262          3541  ...           327   \n",
       "14             0          3190          1020         10337  ...           978   \n",
       "15             0          2250           777         10589  ...          2157   \n",
       "16             2          2054          1365          6886  ...          1812   \n",
       "17             0          1627           499          2962  ...           820   \n",
       "18             1          1326           459          6454  ...          1461   \n",
       "19             0           798           596          2738  ...          1667   \n",
       "20             0          2607          3446          9244  ...          3362   \n",
       "21             0          1474          1068          4719  ...          2163   \n",
       "22            29         21237          4055         47923  ...         14109   \n",
       "23             0           777           173          2917  ...           392   \n",
       "24             0          4105          4724          6837  ...          6998   \n",
       "25             0           730           479          2091  ...          1180   \n",
       "26             0          1260          4502          8928  ...          3614   \n",
       "27             3          4225          7383         11972  ...         12482   \n",
       "28             2          1977          2173          5620  ...          3157   \n",
       "29             7          7563          4573         18120  ...          6909   \n",
       "30             1          2782          1739         12190  ...          7760   \n",
       "31             0           368           806          1846  ...           512   \n",
       "32             4          2420          1467          5240  ...          6107   \n",
       "33             0          1187           724          3231  ...          3363   \n",
       "34             3          2827          1977          7469  ...          4803   \n",
       "35             1          4876          2382         13042  ...          4743   \n",
       "36             0          1050           801          2419  ...          1782   \n",
       "37             2          3075          7003          7618  ...         10106   \n",
       "38             0          4090          1042          8572  ...          3972   \n",
       "39             0          2046           950          4345  ...          3618   \n",
       "40             0          2041          1367          7977  ...           840   \n",
       "41             0           889           461          4546  ...           585   \n",
       "42             0          1987          3667          5986  ...          4014   \n",
       "43             2          5727           839         15463  ...          2334   \n",
       "44             0          1778          2439          4272  ...          5617   \n",
       "45             0           539           286          1783  ...           193   \n",
       "46             3          1911          1034          7008  ...          3065   \n",
       "\n",
       "    23시-24시 하차인원  00시-01시 승차인원  00시-01시 하차인원  01시-02시 승차인원  01시-02시 하차인원  \\\n",
       "0           4919            31           720             0             0   \n",
       "1          12861             7             4             0             0   \n",
       "2           2034             5            58             0             0   \n",
       "3          14774            18           387             0             0   \n",
       "4           8907             2            38             0             1   \n",
       "5            936             8            27             0             0   \n",
       "6           1491             0            45             0             0   \n",
       "7           1061             0             0             0             0   \n",
       "8           6529             4            28             1             3   \n",
       "9            384             0            31             0             0   \n",
       "10          4088             5          1406             0             0   \n",
       "11          1703             1            88             0             0   \n",
       "12          4046            11           296             0             0   \n",
       "13          1680             3            81             0             0   \n",
       "14          5743             0            64             0             0   \n",
       "15          4227             0             8             0             0   \n",
       "16          4104            22          1011             0             1   \n",
       "17          2322             5           954             0             0   \n",
       "18          3340             0           332             0             0   \n",
       "19          1425            11           108             0             1   \n",
       "20          6048             0             3             0             0   \n",
       "21          1904             0             1             0             0   \n",
       "22         36907            13          2702             0             0   \n",
       "23          1603             2             1             0             0   \n",
       "24          4382             1          1712             0             0   \n",
       "25          1701             1             7             0             0   \n",
       "26          3206             0             0             0             0   \n",
       "27          8782            59           533             0             0   \n",
       "28          3706            16           343             0             1   \n",
       "29         11385            11           998             0             0   \n",
       "30          7767             6           571             0             0   \n",
       "31          1393             0            11             0             0   \n",
       "32          3801             0            92             0             0   \n",
       "33          1708            29           317             0             0   \n",
       "34          3777             5           844             0             0   \n",
       "35          9860             5           740             0             0   \n",
       "36          2655             1           110             0             0   \n",
       "37          6425             0             1             0             0   \n",
       "38          6312            10           499             0             0   \n",
       "39          4329             1           414             0             0   \n",
       "40          3473             2            37             0             0   \n",
       "41          2311             0             5             1             1   \n",
       "42          2725             4          1252             0             0   \n",
       "43          9272             1            46             0             0   \n",
       "44          2679            10           171             0             0   \n",
       "45           817             0             2             0             0   \n",
       "46          4300            59           231             0             0   \n",
       "\n",
       "    02시-03시 승차인원  02시-03시 하차인원  03시-04시 승차인원  03시-04시 하차인원  \n",
       "0              0             0             0             0  \n",
       "1              0             0             0             0  \n",
       "2              0             0             0             0  \n",
       "3              0             0             0             0  \n",
       "4              0             1             0             0  \n",
       "5              0             0             0             0  \n",
       "6              0             0             0             0  \n",
       "7              0             0             0             0  \n",
       "8              1             0             0             0  \n",
       "9              0             0             0             0  \n",
       "10             0             0             0             0  \n",
       "11             0             0             0             0  \n",
       "12             0             0             0             0  \n",
       "13             0             0             0             0  \n",
       "14             0             0             0             0  \n",
       "15             0             0             0             0  \n",
       "16             0             0             0             0  \n",
       "17             0             0             0             0  \n",
       "18             0             0             0             0  \n",
       "19             0             0             0             0  \n",
       "20             0             0             0             0  \n",
       "21             0             0             0             0  \n",
       "22             0             0             0             0  \n",
       "23             0             0             0             0  \n",
       "24             0             0             0             0  \n",
       "25             0             0             0             0  \n",
       "26             0             0             0             0  \n",
       "27             0             0             0             0  \n",
       "28             0             0             0             0  \n",
       "29             0             0             0             0  \n",
       "30             0             0             0             0  \n",
       "31             0             0             0             0  \n",
       "32             0             0             0             0  \n",
       "33             0             0             0             0  \n",
       "34             0             0             0             0  \n",
       "35             0             1             0             0  \n",
       "36             0             0             0             0  \n",
       "37             0             0             0             0  \n",
       "38             0             0             0             0  \n",
       "39             0             0             0             0  \n",
       "40             0             1             0             0  \n",
       "41             0             0             0             0  \n",
       "42             0             0             0             0  \n",
       "43             0             0             0             0  \n",
       "44             0             0             0             0  \n",
       "45             0             0             0             0  \n",
       "46             0             0             0             0  \n",
       "\n",
       "[47 rows x 53 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/서초강남지하철승하차.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"역이름\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>역이름</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>sub_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>강남구청역</td>\n",
       "      <td>37.517201</td>\n",
       "      <td>127.041287</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04129 37.51720)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>강남역</td>\n",
       "      <td>37.498085</td>\n",
       "      <td>127.027978</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02798 37.49809)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>개포동역</td>\n",
       "      <td>37.489132</td>\n",
       "      <td>127.066103</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06610 37.48913)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>고속터미널역</td>\n",
       "      <td>37.504540</td>\n",
       "      <td>127.005135</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00513 37.50454)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>교대역</td>\n",
       "      <td>37.492736</td>\n",
       "      <td>127.013863</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01386 37.49274)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>구룡역</td>\n",
       "      <td>37.487027</td>\n",
       "      <td>127.059475</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05947 37.48703)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>구반포역</td>\n",
       "      <td>37.501422</td>\n",
       "      <td>126.987447</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98745 37.50142)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>국회의사당역</td>\n",
       "      <td>37.528136</td>\n",
       "      <td>126.917821</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.91782 37.52814)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>남부터미널역</td>\n",
       "      <td>37.485185</td>\n",
       "      <td>127.016191</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01619 37.48519)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>남태령역</td>\n",
       "      <td>37.464246</td>\n",
       "      <td>126.989081</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98908 37.46425)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>내방역</td>\n",
       "      <td>37.487655</td>\n",
       "      <td>126.993578</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99358 37.48765)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>녹사평역</td>\n",
       "      <td>37.534705</td>\n",
       "      <td>126.986536</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98654 37.53470)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>논현역</td>\n",
       "      <td>37.511187</td>\n",
       "      <td>127.021649</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02165 37.51119)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>대모산입구역</td>\n",
       "      <td>37.491543</td>\n",
       "      <td>127.073070</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07307 37.49154)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>대청역</td>\n",
       "      <td>37.493701</td>\n",
       "      <td>127.079518</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07952 37.49370)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>대치역</td>\n",
       "      <td>37.494486</td>\n",
       "      <td>127.063190</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06319 37.49449)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>도곡역</td>\n",
       "      <td>37.490976</td>\n",
       "      <td>127.055498</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05550 37.49098)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>동작역</td>\n",
       "      <td>37.502971</td>\n",
       "      <td>126.980299</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98030 37.50297)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>매봉역</td>\n",
       "      <td>37.486925</td>\n",
       "      <td>127.046698</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04670 37.48693)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>반포역</td>\n",
       "      <td>37.508143</td>\n",
       "      <td>127.011582</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01158 37.50814)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>방배역</td>\n",
       "      <td>37.481456</td>\n",
       "      <td>126.997535</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99754 37.48146)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>봉은사역</td>\n",
       "      <td>37.514237</td>\n",
       "      <td>127.060220</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06022 37.51424)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>사당역</td>\n",
       "      <td>37.476553</td>\n",
       "      <td>126.981550</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98155 37.47655)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>사평역</td>\n",
       "      <td>37.504233</td>\n",
       "      <td>127.015268</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01527 37.50423)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>삼성역</td>\n",
       "      <td>37.508812</td>\n",
       "      <td>127.063021</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06302 37.50881)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>삼성중앙역</td>\n",
       "      <td>37.512961</td>\n",
       "      <td>127.053026</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05303 37.51296)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>서초역</td>\n",
       "      <td>37.491836</td>\n",
       "      <td>127.007644</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00764 37.49184)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>선릉역</td>\n",
       "      <td>37.504494</td>\n",
       "      <td>127.048948</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04895 37.50449)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>선정릉역</td>\n",
       "      <td>37.510929</td>\n",
       "      <td>127.043614</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04361 37.51093)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>수서역</td>\n",
       "      <td>37.485284</td>\n",
       "      <td>127.104452</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10445 37.48528)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>신논현역</td>\n",
       "      <td>37.504808</td>\n",
       "      <td>127.025469</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02547 37.50481)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>신반포역</td>\n",
       "      <td>37.503495</td>\n",
       "      <td>126.996064</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99606 37.50349)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>신사역</td>\n",
       "      <td>37.516431</td>\n",
       "      <td>127.020293</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02029 37.51643)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>압구정로데오역</td>\n",
       "      <td>37.527509</td>\n",
       "      <td>127.040591</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04059 37.52751)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>압구정역</td>\n",
       "      <td>37.526485</td>\n",
       "      <td>127.028486</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02849 37.52648)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>양재역</td>\n",
       "      <td>37.484569</td>\n",
       "      <td>127.034146</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03415 37.48457)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>언주역</td>\n",
       "      <td>37.507328</td>\n",
       "      <td>127.033953</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03395 37.50733)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>역삼역</td>\n",
       "      <td>37.500660</td>\n",
       "      <td>127.036460</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03646 37.50066)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>이수역</td>\n",
       "      <td>37.486789</td>\n",
       "      <td>126.982203</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98220 37.48679)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>이태원역</td>\n",
       "      <td>37.534507</td>\n",
       "      <td>126.994320</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99432 37.53451)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>일원역</td>\n",
       "      <td>37.483985</td>\n",
       "      <td>127.084121</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08412 37.48399)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>잠원역</td>\n",
       "      <td>37.512883</td>\n",
       "      <td>127.011401</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01140 37.51288)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>청담역</td>\n",
       "      <td>37.519448</td>\n",
       "      <td>127.053709</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05371 37.51945)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>총신대입구역</td>\n",
       "      <td>37.486789</td>\n",
       "      <td>126.982203</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98220 37.48679)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>학동역</td>\n",
       "      <td>37.514357</td>\n",
       "      <td>127.031897</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03190 37.51436)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>학여울역</td>\n",
       "      <td>37.496878</td>\n",
       "      <td>127.071153</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07115 37.49688)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>한티역</td>\n",
       "      <td>37.496275</td>\n",
       "      <td>127.052901</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05290 37.49627)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        역이름         위도          경도  sub_cnt                       point\n",
       "0     강남구청역  37.517201  127.041287        1  POINT (127.04129 37.51720)\n",
       "1       강남역  37.498085  127.027978        1  POINT (127.02798 37.49809)\n",
       "2      개포동역  37.489132  127.066103        1  POINT (127.06610 37.48913)\n",
       "3    고속터미널역  37.504540  127.005135        1  POINT (127.00513 37.50454)\n",
       "4       교대역  37.492736  127.013863        1  POINT (127.01386 37.49274)\n",
       "5       구룡역  37.487027  127.059475        1  POINT (127.05947 37.48703)\n",
       "6      구반포역  37.501422  126.987447        1  POINT (126.98745 37.50142)\n",
       "7    국회의사당역  37.528136  126.917821        1  POINT (126.91782 37.52814)\n",
       "8    남부터미널역  37.485185  127.016191        1  POINT (127.01619 37.48519)\n",
       "9      남태령역  37.464246  126.989081        1  POINT (126.98908 37.46425)\n",
       "10      내방역  37.487655  126.993578        1  POINT (126.99358 37.48765)\n",
       "11     녹사평역  37.534705  126.986536        1  POINT (126.98654 37.53470)\n",
       "12      논현역  37.511187  127.021649        1  POINT (127.02165 37.51119)\n",
       "13   대모산입구역  37.491543  127.073070        1  POINT (127.07307 37.49154)\n",
       "14      대청역  37.493701  127.079518        1  POINT (127.07952 37.49370)\n",
       "15      대치역  37.494486  127.063190        1  POINT (127.06319 37.49449)\n",
       "16      도곡역  37.490976  127.055498        1  POINT (127.05550 37.49098)\n",
       "17      동작역  37.502971  126.980299        1  POINT (126.98030 37.50297)\n",
       "18      매봉역  37.486925  127.046698        1  POINT (127.04670 37.48693)\n",
       "19      반포역  37.508143  127.011582        1  POINT (127.01158 37.50814)\n",
       "20      방배역  37.481456  126.997535        1  POINT (126.99754 37.48146)\n",
       "21     봉은사역  37.514237  127.060220        1  POINT (127.06022 37.51424)\n",
       "22      사당역  37.476553  126.981550        1  POINT (126.98155 37.47655)\n",
       "23      사평역  37.504233  127.015268        1  POINT (127.01527 37.50423)\n",
       "24      삼성역  37.508812  127.063021        1  POINT (127.06302 37.50881)\n",
       "25    삼성중앙역  37.512961  127.053026        1  POINT (127.05303 37.51296)\n",
       "26      서초역  37.491836  127.007644        1  POINT (127.00764 37.49184)\n",
       "27      선릉역  37.504494  127.048948        1  POINT (127.04895 37.50449)\n",
       "28     선정릉역  37.510929  127.043614        1  POINT (127.04361 37.51093)\n",
       "29      수서역  37.485284  127.104452        1  POINT (127.10445 37.48528)\n",
       "30     신논현역  37.504808  127.025469        1  POINT (127.02547 37.50481)\n",
       "31     신반포역  37.503495  126.996064        1  POINT (126.99606 37.50349)\n",
       "32      신사역  37.516431  127.020293        1  POINT (127.02029 37.51643)\n",
       "33  압구정로데오역  37.527509  127.040591        1  POINT (127.04059 37.52751)\n",
       "34     압구정역  37.526485  127.028486        1  POINT (127.02849 37.52648)\n",
       "35      양재역  37.484569  127.034146        1  POINT (127.03415 37.48457)\n",
       "36      언주역  37.507328  127.033953        1  POINT (127.03395 37.50733)\n",
       "37      역삼역  37.500660  127.036460        1  POINT (127.03646 37.50066)\n",
       "38      이수역  37.486789  126.982203        1  POINT (126.98220 37.48679)\n",
       "39     이태원역  37.534507  126.994320        1  POINT (126.99432 37.53451)\n",
       "40      일원역  37.483985  127.084121        1  POINT (127.08412 37.48399)\n",
       "41      잠원역  37.512883  127.011401        1  POINT (127.01140 37.51288)\n",
       "42      청담역  37.519448  127.053709        1  POINT (127.05371 37.51945)\n",
       "43   총신대입구역  37.486789  126.982203        1  POINT (126.98220 37.48679)\n",
       "44      학동역  37.514357  127.031897        1  POINT (127.03190 37.51436)\n",
       "45     학여울역  37.496878  127.071153        1  POINT (127.07115 37.49688)\n",
       "46      한티역  37.496275  127.052901        1  POINT (127.05290 37.49627)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-68-9f078b38371f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['sub_cnt']=1\n",
      "<ipython-input-68-9f078b38371f>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-68-9f078b38371f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-68-9f078b38371f>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['sub_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>역이름</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>sub_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>강남구청역</td>\n",
       "      <td>37.517201</td>\n",
       "      <td>127.041287</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04129 37.51720)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>강남역</td>\n",
       "      <td>37.498085</td>\n",
       "      <td>127.027978</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02798 37.49809)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>개포동역</td>\n",
       "      <td>37.489132</td>\n",
       "      <td>127.066103</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06610 37.48913)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>고속터미널역</td>\n",
       "      <td>37.504540</td>\n",
       "      <td>127.005135</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00513 37.50454)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>교대역</td>\n",
       "      <td>37.492736</td>\n",
       "      <td>127.013863</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01386 37.49274)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>구룡역</td>\n",
       "      <td>37.487027</td>\n",
       "      <td>127.059475</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05947 37.48703)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>구반포역</td>\n",
       "      <td>37.501422</td>\n",
       "      <td>126.987447</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98745 37.50142)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>국회의사당역</td>\n",
       "      <td>37.528136</td>\n",
       "      <td>126.917821</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.91782 37.52814)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>남부터미널역</td>\n",
       "      <td>37.485185</td>\n",
       "      <td>127.016191</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01619 37.48519)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>남태령역</td>\n",
       "      <td>37.464246</td>\n",
       "      <td>126.989081</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98908 37.46425)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>내방역</td>\n",
       "      <td>37.487655</td>\n",
       "      <td>126.993578</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99358 37.48765)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>녹사평역</td>\n",
       "      <td>37.534705</td>\n",
       "      <td>126.986536</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98654 37.53470)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>논현역</td>\n",
       "      <td>37.511187</td>\n",
       "      <td>127.021649</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02165 37.51119)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>대모산입구역</td>\n",
       "      <td>37.491543</td>\n",
       "      <td>127.073070</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07307 37.49154)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>대청역</td>\n",
       "      <td>37.493701</td>\n",
       "      <td>127.079518</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07952 37.49370)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>대치역</td>\n",
       "      <td>37.494486</td>\n",
       "      <td>127.063190</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06319 37.49449)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>도곡역</td>\n",
       "      <td>37.490976</td>\n",
       "      <td>127.055498</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05550 37.49098)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>동작역</td>\n",
       "      <td>37.502971</td>\n",
       "      <td>126.980299</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98030 37.50297)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>매봉역</td>\n",
       "      <td>37.486925</td>\n",
       "      <td>127.046698</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04670 37.48693)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>반포역</td>\n",
       "      <td>37.508143</td>\n",
       "      <td>127.011582</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01158 37.50814)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>방배역</td>\n",
       "      <td>37.481456</td>\n",
       "      <td>126.997535</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99754 37.48146)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>봉은사역</td>\n",
       "      <td>37.514237</td>\n",
       "      <td>127.060220</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06022 37.51424)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>사당역</td>\n",
       "      <td>37.476553</td>\n",
       "      <td>126.981550</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98155 37.47655)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>사평역</td>\n",
       "      <td>37.504233</td>\n",
       "      <td>127.015268</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01527 37.50423)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>삼성역</td>\n",
       "      <td>37.508812</td>\n",
       "      <td>127.063021</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06302 37.50881)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>삼성중앙역</td>\n",
       "      <td>37.512961</td>\n",
       "      <td>127.053026</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05303 37.51296)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>서초역</td>\n",
       "      <td>37.491836</td>\n",
       "      <td>127.007644</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00764 37.49184)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>선릉역</td>\n",
       "      <td>37.504494</td>\n",
       "      <td>127.048948</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04895 37.50449)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>선정릉역</td>\n",
       "      <td>37.510929</td>\n",
       "      <td>127.043614</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04361 37.51093)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>수서역</td>\n",
       "      <td>37.485284</td>\n",
       "      <td>127.104452</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10445 37.48528)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>신논현역</td>\n",
       "      <td>37.504808</td>\n",
       "      <td>127.025469</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02547 37.50481)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>신반포역</td>\n",
       "      <td>37.503495</td>\n",
       "      <td>126.996064</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99606 37.50349)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>신사역</td>\n",
       "      <td>37.516431</td>\n",
       "      <td>127.020293</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02029 37.51643)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>압구정로데오역</td>\n",
       "      <td>37.527509</td>\n",
       "      <td>127.040591</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04059 37.52751)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>압구정역</td>\n",
       "      <td>37.526485</td>\n",
       "      <td>127.028486</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02849 37.52648)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>양재역</td>\n",
       "      <td>37.484569</td>\n",
       "      <td>127.034146</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03415 37.48457)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>언주역</td>\n",
       "      <td>37.507328</td>\n",
       "      <td>127.033953</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03395 37.50733)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>역삼역</td>\n",
       "      <td>37.500660</td>\n",
       "      <td>127.036460</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03646 37.50066)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>이수역</td>\n",
       "      <td>37.486789</td>\n",
       "      <td>126.982203</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98220 37.48679)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>이태원역</td>\n",
       "      <td>37.534507</td>\n",
       "      <td>126.994320</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99432 37.53451)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>일원역</td>\n",
       "      <td>37.483985</td>\n",
       "      <td>127.084121</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08412 37.48399)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>잠원역</td>\n",
       "      <td>37.512883</td>\n",
       "      <td>127.011401</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01140 37.51288)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>청담역</td>\n",
       "      <td>37.519448</td>\n",
       "      <td>127.053709</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05371 37.51945)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>총신대입구역</td>\n",
       "      <td>37.486789</td>\n",
       "      <td>126.982203</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98220 37.48679)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>학동역</td>\n",
       "      <td>37.514357</td>\n",
       "      <td>127.031897</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03190 37.51436)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>학여울역</td>\n",
       "      <td>37.496878</td>\n",
       "      <td>127.071153</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07115 37.49688)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>한티역</td>\n",
       "      <td>37.496275</td>\n",
       "      <td>127.052901</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05290 37.49627)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        역이름         위도          경도  sub_cnt                       point\n",
       "0     강남구청역  37.517201  127.041287        1  POINT (127.04129 37.51720)\n",
       "1       강남역  37.498085  127.027978        1  POINT (127.02798 37.49809)\n",
       "2      개포동역  37.489132  127.066103        1  POINT (127.06610 37.48913)\n",
       "3    고속터미널역  37.504540  127.005135        1  POINT (127.00513 37.50454)\n",
       "4       교대역  37.492736  127.013863        1  POINT (127.01386 37.49274)\n",
       "5       구룡역  37.487027  127.059475        1  POINT (127.05947 37.48703)\n",
       "6      구반포역  37.501422  126.987447        1  POINT (126.98745 37.50142)\n",
       "7    국회의사당역  37.528136  126.917821        1  POINT (126.91782 37.52814)\n",
       "8    남부터미널역  37.485185  127.016191        1  POINT (127.01619 37.48519)\n",
       "9      남태령역  37.464246  126.989081        1  POINT (126.98908 37.46425)\n",
       "10      내방역  37.487655  126.993578        1  POINT (126.99358 37.48765)\n",
       "11     녹사평역  37.534705  126.986536        1  POINT (126.98654 37.53470)\n",
       "12      논현역  37.511187  127.021649        1  POINT (127.02165 37.51119)\n",
       "13   대모산입구역  37.491543  127.073070        1  POINT (127.07307 37.49154)\n",
       "14      대청역  37.493701  127.079518        1  POINT (127.07952 37.49370)\n",
       "15      대치역  37.494486  127.063190        1  POINT (127.06319 37.49449)\n",
       "16      도곡역  37.490976  127.055498        1  POINT (127.05550 37.49098)\n",
       "17      동작역  37.502971  126.980299        1  POINT (126.98030 37.50297)\n",
       "18      매봉역  37.486925  127.046698        1  POINT (127.04670 37.48693)\n",
       "19      반포역  37.508143  127.011582        1  POINT (127.01158 37.50814)\n",
       "20      방배역  37.481456  126.997535        1  POINT (126.99754 37.48146)\n",
       "21     봉은사역  37.514237  127.060220        1  POINT (127.06022 37.51424)\n",
       "22      사당역  37.476553  126.981550        1  POINT (126.98155 37.47655)\n",
       "23      사평역  37.504233  127.015268        1  POINT (127.01527 37.50423)\n",
       "24      삼성역  37.508812  127.063021        1  POINT (127.06302 37.50881)\n",
       "25    삼성중앙역  37.512961  127.053026        1  POINT (127.05303 37.51296)\n",
       "26      서초역  37.491836  127.007644        1  POINT (127.00764 37.49184)\n",
       "27      선릉역  37.504494  127.048948        1  POINT (127.04895 37.50449)\n",
       "28     선정릉역  37.510929  127.043614        1  POINT (127.04361 37.51093)\n",
       "29      수서역  37.485284  127.104452        1  POINT (127.10445 37.48528)\n",
       "30     신논현역  37.504808  127.025469        1  POINT (127.02547 37.50481)\n",
       "31     신반포역  37.503495  126.996064        1  POINT (126.99606 37.50349)\n",
       "32      신사역  37.516431  127.020293        1  POINT (127.02029 37.51643)\n",
       "33  압구정로데오역  37.527509  127.040591        1  POINT (127.04059 37.52751)\n",
       "34     압구정역  37.526485  127.028486        1  POINT (127.02849 37.52648)\n",
       "35      양재역  37.484569  127.034146        1  POINT (127.03415 37.48457)\n",
       "36      언주역  37.507328  127.033953        1  POINT (127.03395 37.50733)\n",
       "37      역삼역  37.500660  127.036460        1  POINT (127.03646 37.50066)\n",
       "38      이수역  37.486789  126.982203        1  POINT (126.98220 37.48679)\n",
       "39     이태원역  37.534507  126.994320        1  POINT (126.99432 37.53451)\n",
       "40      일원역  37.483985  127.084121        1  POINT (127.08412 37.48399)\n",
       "41      잠원역  37.512883  127.011401        1  POINT (127.01140 37.51288)\n",
       "42      청담역  37.519448  127.053709        1  POINT (127.05371 37.51945)\n",
       "43   총신대입구역  37.486789  126.982203        1  POINT (126.98220 37.48679)\n",
       "44      학동역  37.514357  127.031897        1  POINT (127.03190 37.51436)\n",
       "45     학여울역  37.496878  127.071153        1  POINT (127.07115 37.49688)\n",
       "46      한티역  37.496275  127.052901        1  POINT (127.05290 37.49627)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████| 47/47 [00:06<00:00,  7.40it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Na</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사540449</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사541420</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사542431</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사546448</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>다사548406</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>다사552432</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>다사554450</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>다사555425</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>다사562451</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>다사564437</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>다사568455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>다사568460</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>다사570438</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>다사571451</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>다사572429</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>다사576464</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>다사577458</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>다사580451</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>다사582444</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>다사583475</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>다사586462</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>다사588429</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>다사588454</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>다사590447</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>다사594465</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>다사594476</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>다사596458</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>다사599431</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>다사601451</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>다사604442</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>다사604460</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>다사605467</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>다사607436</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>다사610431</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>다사611461</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>다사613440</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>다사613455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>다사616434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>다사620442</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>다사622436</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>다사628439</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>다사632428</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>다사650429</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gid  TL_cnt\n",
       "0         Na       3\n",
       "1   다사540449       1\n",
       "2   다사541420       1\n",
       "3   다사542431       2\n",
       "4   다사546448       1\n",
       "5   다사548406       1\n",
       "6   다사552432       1\n",
       "7   다사554450       1\n",
       "8   다사555425       1\n",
       "9   다사562451       1\n",
       "10  다사564437       1\n",
       "11  다사568455       1\n",
       "12  다사568460       1\n",
       "13  다사570438       1\n",
       "14  다사571451       1\n",
       "15  다사572429       1\n",
       "16  다사576464       1\n",
       "17  다사577458       1\n",
       "18  다사580451       1\n",
       "19  다사582444       1\n",
       "20  다사583475       1\n",
       "21  다사586462       1\n",
       "22  다사588429       1\n",
       "23  다사588454       1\n",
       "24  다사590447       1\n",
       "25  다사594465       1\n",
       "26  다사594476       1\n",
       "27  다사596458       1\n",
       "28  다사599431       1\n",
       "29  다사601451       1\n",
       "30  다사604442       1\n",
       "31  다사604460       1\n",
       "32  다사605467       1\n",
       "33  다사607436       1\n",
       "34  다사610431       1\n",
       "35  다사611461       1\n",
       "36  다사613440       1\n",
       "37  다사613455       1\n",
       "38  다사616434       1\n",
       "39  다사620442       1\n",
       "40  다사622436       1\n",
       "41  다사628439       1\n",
       "42  다사632428       1\n",
       "43  다사650429       1"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Na</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "  gid  TL_cnt\n",
       "0  Na       3"
      ]
     },
     "execution_count": 74,
     "metadata": {},
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   ],
   "source": [
    "data3[data3[\"gid\"] == \"Na\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "data4 = data3.drop(index=0, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사541420</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사542431</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사546448</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>다사548406</td>\n",
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       "      <th>6</th>\n",
       "      <td>다사552432</td>\n",
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       "      <th>7</th>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>다사555425</td>\n",
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       "      <td>다사568455</td>\n",
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       "      <th>12</th>\n",
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       "      <th>20</th>\n",
       "      <td>다사583475</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>다사586462</td>\n",
       "      <td>1</td>\n",
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       "      <th>23</th>\n",
       "      <td>다사588454</td>\n",
       "      <td>1</td>\n",
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       "      <th>24</th>\n",
       "      <td>다사590447</td>\n",
       "      <td>1</td>\n",
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       "      <th>25</th>\n",
       "      <td>다사594465</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
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       "      <td>1</td>\n",
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       "      <td>다사596458</td>\n",
       "      <td>1</td>\n",
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       "      <th>28</th>\n",
       "      <td>다사599431</td>\n",
       "      <td>1</td>\n",
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       "      <th>29</th>\n",
       "      <td>다사601451</td>\n",
       "      <td>1</td>\n",
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       "      <th>30</th>\n",
       "      <td>다사604442</td>\n",
       "      <td>1</td>\n",
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       "      <th>31</th>\n",
       "      <td>다사604460</td>\n",
       "      <td>1</td>\n",
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       "      <th>32</th>\n",
       "      <td>다사605467</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>다사611461</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>다사613440</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>다사613455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>다사616434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>다사620442</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>다사622436</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>다사628439</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>다사632428</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>다사650429</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gid  TL_cnt\n",
       "1   다사540449       1\n",
       "2   다사541420       1\n",
       "3   다사542431       2\n",
       "4   다사546448       1\n",
       "5   다사548406       1\n",
       "6   다사552432       1\n",
       "7   다사554450       1\n",
       "8   다사555425       1\n",
       "9   다사562451       1\n",
       "10  다사564437       1\n",
       "11  다사568455       1\n",
       "12  다사568460       1\n",
       "13  다사570438       1\n",
       "14  다사571451       1\n",
       "15  다사572429       1\n",
       "16  다사576464       1\n",
       "17  다사577458       1\n",
       "18  다사580451       1\n",
       "19  다사582444       1\n",
       "20  다사583475       1\n",
       "21  다사586462       1\n",
       "22  다사588429       1\n",
       "23  다사588454       1\n",
       "24  다사590447       1\n",
       "25  다사594465       1\n",
       "26  다사594476       1\n",
       "27  다사596458       1\n",
       "28  다사599431       1\n",
       "29  다사601451       1\n",
       "30  다사604442       1\n",
       "31  다사604460       1\n",
       "32  다사605467       1\n",
       "33  다사607436       1\n",
       "34  다사610431       1\n",
       "35  다사611461       1\n",
       "36  다사613440       1\n",
       "37  다사613455       1\n",
       "38  다사616434       1\n",
       "39  다사620442       1\n",
       "40  다사622436       1\n",
       "41  다사628439       1\n",
       "42  다사632428       1\n",
       "43  다사650429       1"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "data4.to_csv(\"output/서초강남지하철역전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 상권 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Q01A01</td>\n",
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       "      <th>1</th>\n",
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       "      <td>...</td>\n",
       "      <td>135513</td>\n",
       "      <td>6148.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>02-6465-1314</td>\n",
       "      <td>127.044182</td>\n",
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       "      <td>1943.0</td>\n",
       "      <td>2021-01-09</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19</td>\n",
       "      <td>17174040</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>한식/백반/한정식</td>\n",
       "      <td>...</td>\n",
       "      <td>137869</td>\n",
       "      <td>6709.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-583-5658</td>\n",
       "      <td>127.009382</td>\n",
       "      <td>37.483436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20</td>\n",
       "      <td>25530299</td>\n",
       "      <td>고향생막걸리</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q09</td>\n",
       "      <td>유흥주점</td>\n",
       "      <td>Q09A04</td>\n",
       "      <td>민속주점</td>\n",
       "      <td>...</td>\n",
       "      <td>135894</td>\n",
       "      <td>6023.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "      <td>127.031012</td>\n",
       "      <td>37.528073</td>\n",
       "      <td>2053.0</td>\n",
       "      <td>2017-08-27</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>22795034</td>\n",
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       "      <td>Q</td>\n",
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       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
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       "      <td>...</td>\n",
       "      <td>137070</td>\n",
       "      <td>6652.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-586-4000</td>\n",
       "      <td>127.012363</td>\n",
       "      <td>37.486335</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>2017-09-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47854</th>\n",
       "      <td>316900</td>\n",
       "      <td>17456528</td>\n",
       "      <td>크린스퀘어</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F02</td>\n",
       "      <td>세탁/가사서비스</td>\n",
       "      <td>F02A01</td>\n",
       "      <td>세탁소/빨래방</td>\n",
       "      <td>...</td>\n",
       "      <td>135877</td>\n",
       "      <td>6158.0</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>B110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.055465</td>\n",
       "      <td>37.508079</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47855</th>\n",
       "      <td>316902</td>\n",
       "      <td>17431606</td>\n",
       "      <td>안젤라화이트</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F01</td>\n",
       "      <td>이/미용/건강</td>\n",
       "      <td>F01A03</td>\n",
       "      <td>비만/피부관리</td>\n",
       "      <td>...</td>\n",
       "      <td>137817</td>\n",
       "      <td>6677.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.982924</td>\n",
       "      <td>37.482598</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47856</th>\n",
       "      <td>316913</td>\n",
       "      <td>17456260</td>\n",
       "      <td>서울방역공사</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F02</td>\n",
       "      <td>세탁/가사서비스</td>\n",
       "      <td>F02A05</td>\n",
       "      <td>청소/소독</td>\n",
       "      <td>...</td>\n",
       "      <td>137843</td>\n",
       "      <td>6682.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.993660</td>\n",
       "      <td>37.484673</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47857</th>\n",
       "      <td>316917</td>\n",
       "      <td>17446911</td>\n",
       "      <td>서래와규짱</td>\n",
       "      <td>서래본점</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>한식/백반/한정식</td>\n",
       "      <td>...</td>\n",
       "      <td>137831</td>\n",
       "      <td>6585.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.991262</td>\n",
       "      <td>37.492275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47858</th>\n",
       "      <td>316918</td>\n",
       "      <td>17447645</td>\n",
       "      <td>맵도니매운갈비찜</td>\n",
       "      <td>역삼점</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>한식/백반/한정식</td>\n",
       "      <td>...</td>\n",
       "      <td>135784</td>\n",
       "      <td>6234.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>110-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.031685</td>\n",
       "      <td>37.498776</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>47859 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0    상가업소번호       상호명   지점명 상권업종대분류코드 상권업종대분류명 상권업종중분류코드  \\\n",
       "0               0  17174175       비지트   NaN         Q       음식       Q01   \n",
       "1              18  17174636  호랑이가만든족발   NaN         Q       음식       Q01   \n",
       "2              19  17174040        다향   NaN         Q       음식       Q01   \n",
       "3              20  25530299    고향생막걸리   NaN         Q       음식       Q09   \n",
       "4              23  22795034     든든한우家   NaN         Q       음식       Q01   \n",
       "...           ...       ...       ...   ...       ...      ...       ...   \n",
       "47854      316900  17456528     크린스퀘어   NaN         F    생활서비스       F02   \n",
       "47855      316902  17431606    안젤라화이트   NaN         F    생활서비스       F01   \n",
       "47856      316913  17456260    서울방역공사   NaN         F    생활서비스       F02   \n",
       "47857      316917  17446911     서래와규짱  서래본점         Q       음식       Q01   \n",
       "47858      316918  17447645  맵도니매운갈비찜   역삼점         Q       음식       Q01   \n",
       "\n",
       "       상권업종중분류명 상권업종소분류코드   상권업종소분류명  ...   구우편번호   신우편번호  동정보  층정보    호정보  \\\n",
       "0            한식    Q01A01  한식/백반/한정식  ...  137837  6572.0  NaN    1    102   \n",
       "1            한식    Q01A08    족발/보쌈전문  ...  135513  6148.0  NaN  NaN    NaN   \n",
       "2            한식    Q01A01  한식/백반/한정식  ...  137869  6709.0  NaN    1    NaN   \n",
       "3          유흥주점    Q09A04       민속주점  ...  135894  6023.0  NaN    1    NaN   \n",
       "4            한식    Q01A01  한식/백반/한정식  ...  137070  6652.0  NaN    2    NaN   \n",
       "...         ...       ...        ...  ...     ...     ...  ...  ...    ...   \n",
       "47854  세탁/가사서비스    F02A01    세탁소/빨래방  ...  135877  6158.0  101    1   B110   \n",
       "47855   이/미용/건강    F01A03    비만/피부관리  ...  137817  6677.0  NaN    2    201   \n",
       "47856  세탁/가사서비스    F02A05      청소/소독  ...  137843  6682.0  NaN    1    NaN   \n",
       "47857        한식    Q01A01  한식/백반/한정식  ...  137831  6585.0  NaN  NaN    NaN   \n",
       "47858        한식    Q01A01  한식/백반/한정식  ...  135784  6234.0  NaN    1  110-1   \n",
       "\n",
       "               전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0               NaN  126.991394  37.488375     NaN  2021-01-09  \n",
       "1      02-6465-1314  127.044182  37.504996  1943.0  2021-01-09  \n",
       "2       02-583-5658  127.009382  37.483436     NaN  2020-11-27  \n",
       "3       02-544-8819  127.031012  37.528073  2053.0  2017-08-27  \n",
       "4       02-586-4000  127.012363  37.486335  1845.0  2017-09-23  \n",
       "...             ...         ...        ...     ...         ...  \n",
       "47854           NaN  127.055465  37.508079     NaN  2021-02-11  \n",
       "47855           NaN  126.982924  37.482598     NaN  2021-01-11  \n",
       "47856           NaN  126.993660  37.484673     NaN  2021-02-11  \n",
       "47857           NaN  126.991262  37.492275     NaN  2021-01-26  \n",
       "47858           NaN  127.031685  37.498776     NaN  2021-01-27  \n",
       "\n",
       "[47859 rows x 43 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store = pd.read_csv(\"output/서초강남상권.csv\")\n",
    "store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['음식', '부동산', '소매', '생활서비스', '관광/여가/오락', '학문/교육', '숙박', '스포츠'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.상권업종대분류명.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"음식\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남음식점 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남음식점.to_csv(\"output/상업대분류/서초강남음식점.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"부동산\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남부동산 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
       "      <th>상권업종중분류명</th>\n",
       "      <th>상권업종소분류코드</th>\n",
       "      <th>상권업종소분류명</th>\n",
       "      <th>...</th>\n",
       "      <th>구우편번호</th>\n",
       "      <th>신우편번호</th>\n",
       "      <th>동정보</th>\n",
       "      <th>층정보</th>\n",
       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>37</td>\n",
       "      <td>25545908</td>\n",
       "      <td>주공부동산</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>135993</td>\n",
       "      <td>6330.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.070856</td>\n",
       "      <td>37.489134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-10-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>67</td>\n",
       "      <td>25448752</td>\n",
       "      <td>럭키공인</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>135270</td>\n",
       "      <td>6264.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-2057-8945</td>\n",
       "      <td>127.035670</td>\n",
       "      <td>37.487032</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>2016-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>166</td>\n",
       "      <td>20968054</td>\n",
       "      <td>강변공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>137907</td>\n",
       "      <td>6517.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-536-5555</td>\n",
       "      <td>127.012702</td>\n",
       "      <td>37.518127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-09-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>210</td>\n",
       "      <td>15598991</td>\n",
       "      <td>로즈모닝공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>135744</td>\n",
       "      <td>6367.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "      <td>02-3413-1234</td>\n",
       "      <td>127.103094</td>\n",
       "      <td>37.487311</td>\n",
       "      <td>1848.0</td>\n",
       "      <td>2017-10-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>254</td>\n",
       "      <td>15612953</td>\n",
       "      <td>반포자이이화공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>137041</td>\n",
       "      <td>6544.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>02-537-4111</td>\n",
       "      <td>127.009861</td>\n",
       "      <td>37.507110</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>2017-10-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47543</th>\n",
       "      <td>314864</td>\n",
       "      <td>17454228</td>\n",
       "      <td>영조개발</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>135272</td>\n",
       "      <td>6276.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.052707</td>\n",
       "      <td>37.495361</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47624</th>\n",
       "      <td>315504</td>\n",
       "      <td>17356195</td>\n",
       "      <td>에스케이광개토공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>135936</td>\n",
       "      <td>6242.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.031226</td>\n",
       "      <td>37.494024</td>\n",
       "      <td>1893.0</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47721</th>\n",
       "      <td>316186</td>\n",
       "      <td>17443509</td>\n",
       "      <td>에버그린감정평가사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L04</td>\n",
       "      <td>평가/개발/관리</td>\n",
       "      <td>L04A04</td>\n",
       "      <td>부동산감정평가</td>\n",
       "      <td>...</td>\n",
       "      <td>137907</td>\n",
       "      <td>6517.0</td>\n",
       "      <td>101</td>\n",
       "      <td>10</td>\n",
       "      <td>1003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.012390</td>\n",
       "      <td>37.518611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47749</th>\n",
       "      <td>316354</td>\n",
       "      <td>17353689</td>\n",
       "      <td>개포나무공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>135807</td>\n",
       "      <td>6319.0</td>\n",
       "      <td>상가</td>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.056077</td>\n",
       "      <td>37.484620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47750</th>\n",
       "      <td>316355</td>\n",
       "      <td>17354225</td>\n",
       "      <td>공인중개사사무소건우</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>...</td>\n",
       "      <td>137883</td>\n",
       "      <td>6605.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.013635</td>\n",
       "      <td>37.495392</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2601 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0    상가업소번호              상호명  지점명 상권업종대분류코드 상권업종대분류명  \\\n",
       "5              37  25545908            주공부동산  NaN         L      부동산   \n",
       "13             67  25448752             럭키공인  NaN         L      부동산   \n",
       "30            166  20968054       강변공인중개사사무소  NaN         L      부동산   \n",
       "39            210  15598991     로즈모닝공인중개사사무소  NaN         L      부동산   \n",
       "46            254  15612953   반포자이이화공인중개사사무소  NaN         L      부동산   \n",
       "...           ...       ...              ...  ...       ...      ...   \n",
       "47543      314864  17454228             영조개발  NaN         L      부동산   \n",
       "47624      315504  17356195  에스케이광개토공인중개사사무소  NaN         L      부동산   \n",
       "47721      316186  17443509     에버그린감정평가사사무소  NaN         L      부동산   \n",
       "47749      316354  17353689     개포나무공인중개사사무소  NaN         L      부동산   \n",
       "47750      316355  17354225       공인중개사사무소건우  NaN         L      부동산   \n",
       "\n",
       "      상권업종중분류코드  상권업종중분류명 상권업종소분류코드 상권업종소분류명  ...   구우편번호   신우편번호  동정보  층정보  \\\n",
       "5           L01     부동산중개    L01A01    부동산중개  ...  135993  6330.0  NaN    1   \n",
       "13          L01     부동산중개    L01A01    부동산중개  ...  135270  6264.0  NaN    1   \n",
       "30          L01     부동산중개    L01A01    부동산중개  ...  137907  6517.0  NaN  NaN   \n",
       "39          L01     부동산중개    L01A01    부동산중개  ...  135744  6367.0  NaN  NaN   \n",
       "46          L01     부동산중개    L01A01    부동산중개  ...  137041  6544.0  NaN  NaN   \n",
       "...         ...       ...       ...      ...  ...     ...     ...  ...  ...   \n",
       "47543       L01     부동산중개    L01A01    부동산중개  ...  135272  6276.0  NaN    1   \n",
       "47624       L01     부동산중개    L01A01    부동산중개  ...  135936  6242.0  NaN    1   \n",
       "47721       L04  평가/개발/관리    L04A04  부동산감정평가  ...  137907  6517.0  101   10   \n",
       "47749       L01     부동산중개    L01A01    부동산중개  ...  135807  6319.0   상가    2   \n",
       "47750       L01     부동산중개    L01A01    부동산중개  ...  137883  6605.0  NaN    9   \n",
       "\n",
       "        호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "5       NaN           NaN  127.070856  37.489134     NaN  2017-10-30  \n",
       "13      NaN  02-2057-8945  127.035670  37.487032  1839.0  2016-01-26  \n",
       "30      NaN   02-536-5555  127.012702  37.518127     NaN  2017-09-30  \n",
       "39      102  02-3413-1234  127.103094  37.487311  1848.0  2017-10-02  \n",
       "46      103   02-537-4111  127.009861  37.507110  1940.0  2017-10-02  \n",
       "...     ...           ...         ...        ...     ...         ...  \n",
       "47543   110           NaN  127.052707  37.495361     NaN  2021-02-08  \n",
       "47624   101           NaN  127.031226  37.494024  1893.0  2021-01-19  \n",
       "47721  1003           NaN  127.012390  37.518611     NaN  2021-01-19  \n",
       "47749   201           NaN  127.056077  37.484620     NaN  2021-01-19  \n",
       "47750   901           NaN  127.013635  37.495392  1889.0  2021-01-19  \n",
       "\n",
       "[2601 rows x 43 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "서초강남부동산"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남부동산.to_csv(\"output/상업대분류/서초강남부동산.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"소매\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남소매점 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남소매점.to_csv(\"output/상업대분류/서초강남소매점.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"생활서비스\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남생활서비스 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남생활서비스.to_csv(\"output/상업대분류/서초강남생활서비스.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"관광/여가/오락\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남관광여가오락 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남관광여가오락.to_csv(\"output/상업대분류/서초강남관광여가오락.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"학문/교육\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남학문교육 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남학문교육.to_csv(\"output/상업대분류/서초강남학문교육.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"숙박\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남숙박 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남숙박.to_csv(\"output/상업대분류/서초강남숙박.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "contains_대분류 = store['상권업종대분류명'].str.contains(\"스포츠\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남스포츠 = store[contains_대분류]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "서초강남스포츠.to_csv(\"output/상업대분류/서초강남스포츠.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### '음식', '부동산', '소매', '생활서비스', '관광/여가/오락', '학문/교육', '숙박', '스포츠' : 상권업종대분류명으로 나눈 후에 전처리 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
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       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
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       "      <th>경도</th>\n",
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       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
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       "      <td>2021-01-09</td>\n",
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       "      <td>02-6465-1314</td>\n",
       "      <td>127.044182</td>\n",
       "      <td>37.504996</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>2021-01-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>17174040</td>\n",
       "      <td>다향</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137869</td>\n",
       "      <td>6709.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-583-5658</td>\n",
       "      <td>127.009382</td>\n",
       "      <td>37.483436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>25530299</td>\n",
       "      <td>고향생막걸리</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q09</td>\n",
       "      <td>유흥주점</td>\n",
       "      <td>Q09A04</td>\n",
       "      <td>...</td>\n",
       "      <td>135894</td>\n",
       "      <td>6023.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-544-8819</td>\n",
       "      <td>127.031012</td>\n",
       "      <td>37.528073</td>\n",
       "      <td>2053.0</td>\n",
       "      <td>2017-08-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>22795034</td>\n",
       "      <td>든든한우家</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137070</td>\n",
       "      <td>6652.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-586-4000</td>\n",
       "      <td>127.012363</td>\n",
       "      <td>37.486335</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>2017-09-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19377</th>\n",
       "      <td>47850</td>\n",
       "      <td>316880</td>\n",
       "      <td>17458834</td>\n",
       "      <td>배달육회육회한가득신사</td>\n",
       "      <td>논현점</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135814</td>\n",
       "      <td>6043.0</td>\n",
       "      <td>201</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.022889</td>\n",
       "      <td>37.515058</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>2021-02-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19378</th>\n",
       "      <td>47851</td>\n",
       "      <td>316881</td>\n",
       "      <td>17456030</td>\n",
       "      <td>신차우</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135830</td>\n",
       "      <td>6099.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.040489</td>\n",
       "      <td>37.516076</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19379</th>\n",
       "      <td>47853</td>\n",
       "      <td>316894</td>\n",
       "      <td>17456240</td>\n",
       "      <td>데이브레드한시적</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q08</td>\n",
       "      <td>제과제빵떡케익</td>\n",
       "      <td>Q08A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135777</td>\n",
       "      <td>6194.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.056116</td>\n",
       "      <td>37.505804</td>\n",
       "      <td>1932.0</td>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19380</th>\n",
       "      <td>47857</td>\n",
       "      <td>316917</td>\n",
       "      <td>17446911</td>\n",
       "      <td>서래와규짱</td>\n",
       "      <td>서래본점</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137831</td>\n",
       "      <td>6585.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.991262</td>\n",
       "      <td>37.492275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19381</th>\n",
       "      <td>47858</td>\n",
       "      <td>316918</td>\n",
       "      <td>17447645</td>\n",
       "      <td>맵도니매운갈비찜</td>\n",
       "      <td>역삼점</td>\n",
       "      <td>Q</td>\n",
       "      <td>음식</td>\n",
       "      <td>Q01</td>\n",
       "      <td>한식</td>\n",
       "      <td>Q01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135784</td>\n",
       "      <td>6234.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>110-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.031685</td>\n",
       "      <td>37.498776</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19382 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  Unnamed: 0.1    상가업소번호          상호명   지점명 상권업종대분류코드  \\\n",
       "0               0             0  17174175          비지트   NaN         Q   \n",
       "1               1            18  17174636     호랑이가만든족발   NaN         Q   \n",
       "2               2            19  17174040           다향   NaN         Q   \n",
       "3               3            20  25530299       고향생막걸리   NaN         Q   \n",
       "4               4            23  22795034        든든한우家   NaN         Q   \n",
       "...           ...           ...       ...          ...   ...       ...   \n",
       "19377       47850        316880  17458834  배달육회육회한가득신사   논현점         Q   \n",
       "19378       47851        316881  17456030          신차우   NaN         Q   \n",
       "19379       47853        316894  17456240     데이브레드한시적   NaN         Q   \n",
       "19380       47857        316917  17446911        서래와규짱  서래본점         Q   \n",
       "19381       47858        316918  17447645     맵도니매운갈비찜   역삼점         Q   \n",
       "\n",
       "      상권업종대분류명 상권업종중분류코드 상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  동정보  층정보  \\\n",
       "0           음식       Q01       한식    Q01A01  ...  137837  6572.0  NaN    1   \n",
       "1           음식       Q01       한식    Q01A08  ...  135513  6148.0  NaN  NaN   \n",
       "2           음식       Q01       한식    Q01A01  ...  137869  6709.0  NaN    1   \n",
       "3           음식       Q09     유흥주점    Q09A04  ...  135894  6023.0  NaN    1   \n",
       "4           음식       Q01       한식    Q01A01  ...  137070  6652.0  NaN    2   \n",
       "...        ...       ...      ...       ...  ...     ...     ...  ...  ...   \n",
       "19377       음식       Q01       한식    Q01A01  ...  135814  6043.0  201    1   \n",
       "19378       음식       Q01       한식    Q01A01  ...  135830  6099.0  NaN  NaN   \n",
       "19379       음식       Q08  제과제빵떡케익    Q08A01  ...  135777  6194.0  NaN    1   \n",
       "19380       음식       Q01       한식    Q01A01  ...  137831  6585.0  NaN  NaN   \n",
       "19381       음식       Q01       한식    Q01A01  ...  135784  6234.0  NaN    1   \n",
       "\n",
       "         호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0        102           NaN  126.991394  37.488375     NaN  2021-01-09  \n",
       "1        NaN  02-6465-1314  127.044182  37.504996  1943.0  2021-01-09  \n",
       "2        NaN   02-583-5658  127.009382  37.483436     NaN  2020-11-27  \n",
       "3        NaN   02-544-8819  127.031012  37.528073  2053.0  2017-08-27  \n",
       "4        NaN   02-586-4000  127.012363  37.486335  1845.0  2017-09-23  \n",
       "...      ...           ...         ...        ...     ...         ...  \n",
       "19377      7           NaN  127.022889  37.515058  1993.0  2021-02-26  \n",
       "19378    NaN           NaN  127.040489  37.516076     NaN  2021-02-11  \n",
       "19379    NaN           NaN  127.056116  37.505804  1932.0  2021-02-11  \n",
       "19380    NaN           NaN  126.991262  37.492275     NaN  2021-01-26  \n",
       "19381  110-1           NaN  127.031685  37.498776     NaN  2021-01-27  \n",
       "\n",
       "[19382 rows x 44 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남음식점.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.488375</td>\n",
       "      <td>126.991394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.504996</td>\n",
       "      <td>127.044182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.483436</td>\n",
       "      <td>127.009382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.528073</td>\n",
       "      <td>127.031012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.486335</td>\n",
       "      <td>127.012363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19377</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.515058</td>\n",
       "      <td>127.022889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19378</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.516076</td>\n",
       "      <td>127.040489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19379</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.505804</td>\n",
       "      <td>127.056116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19380</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.492275</td>\n",
       "      <td>126.991262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19381</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.498776</td>\n",
       "      <td>127.031685</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19382 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도\n",
       "0           음식  37.488375  126.991394\n",
       "1           음식  37.504996  127.044182\n",
       "2           음식  37.483436  127.009382\n",
       "3           음식  37.528073  127.031012\n",
       "4           음식  37.486335  127.012363\n",
       "...        ...        ...         ...\n",
       "19377       음식  37.515058  127.022889\n",
       "19378       음식  37.516076  127.040489\n",
       "19379       음식  37.505804  127.056116\n",
       "19380       음식  37.492275  126.991262\n",
       "19381       음식  37.498776  127.031685\n",
       "\n",
       "[19382 rows x 3 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-10-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-10-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-10-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-10-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
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       "      <td>37.488375</td>\n",
       "      <td>126.991394</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99139 37.48837)</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.504996</td>\n",
       "      <td>127.044182</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04418 37.50500)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.483436</td>\n",
       "      <td>127.009382</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00938 37.48344)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.528073</td>\n",
       "      <td>127.031012</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03101 37.52807)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.486335</td>\n",
       "      <td>127.012363</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01236 37.48634)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19377</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.515058</td>\n",
       "      <td>127.022889</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02289 37.51506)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19378</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.516076</td>\n",
       "      <td>127.040489</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04049 37.51608)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19379</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.505804</td>\n",
       "      <td>127.056116</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05612 37.50580)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19380</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.492275</td>\n",
       "      <td>126.991262</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99126 37.49227)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19381</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.498776</td>\n",
       "      <td>127.031685</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03169 37.49878)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19382 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0           음식  37.488375  126.991394          1  POINT (126.99139 37.48837)\n",
       "1           음식  37.504996  127.044182          1  POINT (127.04418 37.50500)\n",
       "2           음식  37.483436  127.009382          1  POINT (127.00938 37.48344)\n",
       "3           음식  37.528073  127.031012          1  POINT (127.03101 37.52807)\n",
       "4           음식  37.486335  127.012363          1  POINT (127.01236 37.48634)\n",
       "...        ...        ...         ...        ...                         ...\n",
       "19377       음식  37.515058  127.022889          1  POINT (127.02289 37.51506)\n",
       "19378       음식  37.516076  127.040489          1  POINT (127.04049 37.51608)\n",
       "19379       음식  37.505804  127.056116          1  POINT (127.05612 37.50580)\n",
       "19380       음식  37.492275  126.991262          1  POINT (126.99126 37.49227)\n",
       "19381       음식  37.498776  127.031685          1  POINT (127.03169 37.49878)\n",
       "\n",
       "[19382 rows x 5 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 19382/19382 [40:47<00:00,  7.92it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사541452</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사542417</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사542418</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사542420</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사542421</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2454</th>\n",
       "      <td>다사656419</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2455</th>\n",
       "      <td>다사658417</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2456</th>\n",
       "      <td>다사659417</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2457</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2458</th>\n",
       "      <td>다사663411</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2459 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           gid  TL_cnt\n",
       "0     다사541452       6\n",
       "1     다사542417       1\n",
       "2     다사542418       1\n",
       "3     다사542420       2\n",
       "4     다사542421      18\n",
       "...        ...     ...\n",
       "2454  다사656419       1\n",
       "2455  다사658417       3\n",
       "2456  다사659417       2\n",
       "2457  다사662413       2\n",
       "2458  다사663411       5\n",
       "\n",
       "[2459 rows x 2 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남음식점전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## '부동산'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
       "      <th>상권업종중분류명</th>\n",
       "      <th>상권업종소분류코드</th>\n",
       "      <th>...</th>\n",
       "      <th>구우편번호</th>\n",
       "      <th>신우편번호</th>\n",
       "      <th>동정보</th>\n",
       "      <th>층정보</th>\n",
       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>37</td>\n",
       "      <td>25545908</td>\n",
       "      <td>주공부동산</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135993</td>\n",
       "      <td>6330.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.070856</td>\n",
       "      <td>37.489134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-10-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13</td>\n",
       "      <td>67</td>\n",
       "      <td>25448752</td>\n",
       "      <td>럭키공인</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135270</td>\n",
       "      <td>6264.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-2057-8945</td>\n",
       "      <td>127.035670</td>\n",
       "      <td>37.487032</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>2016-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>166</td>\n",
       "      <td>20968054</td>\n",
       "      <td>강변공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137907</td>\n",
       "      <td>6517.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-536-5555</td>\n",
       "      <td>127.012702</td>\n",
       "      <td>37.518127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-09-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39</td>\n",
       "      <td>210</td>\n",
       "      <td>15598991</td>\n",
       "      <td>로즈모닝공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135744</td>\n",
       "      <td>6367.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "      <td>02-3413-1234</td>\n",
       "      <td>127.103094</td>\n",
       "      <td>37.487311</td>\n",
       "      <td>1848.0</td>\n",
       "      <td>2017-10-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>46</td>\n",
       "      <td>254</td>\n",
       "      <td>15612953</td>\n",
       "      <td>반포자이이화공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137041</td>\n",
       "      <td>6544.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>02-537-4111</td>\n",
       "      <td>127.009861</td>\n",
       "      <td>37.507110</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>2017-10-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2596</th>\n",
       "      <td>47543</td>\n",
       "      <td>314864</td>\n",
       "      <td>17454228</td>\n",
       "      <td>영조개발</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135272</td>\n",
       "      <td>6276.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.052707</td>\n",
       "      <td>37.495361</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2597</th>\n",
       "      <td>47624</td>\n",
       "      <td>315504</td>\n",
       "      <td>17356195</td>\n",
       "      <td>에스케이광개토공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135936</td>\n",
       "      <td>6242.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.031226</td>\n",
       "      <td>37.494024</td>\n",
       "      <td>1893.0</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2598</th>\n",
       "      <td>47721</td>\n",
       "      <td>316186</td>\n",
       "      <td>17443509</td>\n",
       "      <td>에버그린감정평가사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L04</td>\n",
       "      <td>평가/개발/관리</td>\n",
       "      <td>L04A04</td>\n",
       "      <td>...</td>\n",
       "      <td>137907</td>\n",
       "      <td>6517.0</td>\n",
       "      <td>101</td>\n",
       "      <td>10</td>\n",
       "      <td>1003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.012390</td>\n",
       "      <td>37.518611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2599</th>\n",
       "      <td>47749</td>\n",
       "      <td>316354</td>\n",
       "      <td>17353689</td>\n",
       "      <td>개포나무공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135807</td>\n",
       "      <td>6319.0</td>\n",
       "      <td>상가</td>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.056077</td>\n",
       "      <td>37.484620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2600</th>\n",
       "      <td>47750</td>\n",
       "      <td>316355</td>\n",
       "      <td>17354225</td>\n",
       "      <td>공인중개사사무소건우</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137883</td>\n",
       "      <td>6605.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.013635</td>\n",
       "      <td>37.495392</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2601 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Unnamed: 0.1    상가업소번호              상호명  지점명 상권업종대분류코드  \\\n",
       "0              5            37  25545908            주공부동산  NaN         L   \n",
       "1             13            67  25448752             럭키공인  NaN         L   \n",
       "2             30           166  20968054       강변공인중개사사무소  NaN         L   \n",
       "3             39           210  15598991     로즈모닝공인중개사사무소  NaN         L   \n",
       "4             46           254  15612953   반포자이이화공인중개사사무소  NaN         L   \n",
       "...          ...           ...       ...              ...  ...       ...   \n",
       "2596       47543        314864  17454228             영조개발  NaN         L   \n",
       "2597       47624        315504  17356195  에스케이광개토공인중개사사무소  NaN         L   \n",
       "2598       47721        316186  17443509     에버그린감정평가사사무소  NaN         L   \n",
       "2599       47749        316354  17353689     개포나무공인중개사사무소  NaN         L   \n",
       "2600       47750        316355  17354225       공인중개사사무소건우  NaN         L   \n",
       "\n",
       "     상권업종대분류명 상권업종중분류코드  상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  동정보  층정보  \\\n",
       "0         부동산       L01     부동산중개    L01A01  ...  135993  6330.0  NaN    1   \n",
       "1         부동산       L01     부동산중개    L01A01  ...  135270  6264.0  NaN    1   \n",
       "2         부동산       L01     부동산중개    L01A01  ...  137907  6517.0  NaN  NaN   \n",
       "3         부동산       L01     부동산중개    L01A01  ...  135744  6367.0  NaN  NaN   \n",
       "4         부동산       L01     부동산중개    L01A01  ...  137041  6544.0  NaN  NaN   \n",
       "...       ...       ...       ...       ...  ...     ...     ...  ...  ...   \n",
       "2596      부동산       L01     부동산중개    L01A01  ...  135272  6276.0  NaN    1   \n",
       "2597      부동산       L01     부동산중개    L01A01  ...  135936  6242.0  NaN    1   \n",
       "2598      부동산       L04  평가/개발/관리    L04A04  ...  137907  6517.0  101   10   \n",
       "2599      부동산       L01     부동산중개    L01A01  ...  135807  6319.0   상가    2   \n",
       "2600      부동산       L01     부동산중개    L01A01  ...  137883  6605.0  NaN    9   \n",
       "\n",
       "       호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0      NaN           NaN  127.070856  37.489134     NaN  2017-10-30  \n",
       "1      NaN  02-2057-8945  127.035670  37.487032  1839.0  2016-01-26  \n",
       "2      NaN   02-536-5555  127.012702  37.518127     NaN  2017-09-30  \n",
       "3      102  02-3413-1234  127.103094  37.487311  1848.0  2017-10-02  \n",
       "4      103   02-537-4111  127.009861  37.507110  1940.0  2017-10-02  \n",
       "...    ...           ...         ...        ...     ...         ...  \n",
       "2596   110           NaN  127.052707  37.495361     NaN  2021-02-08  \n",
       "2597   101           NaN  127.031226  37.494024  1893.0  2021-01-19  \n",
       "2598  1003           NaN  127.012390  37.518611     NaN  2021-01-19  \n",
       "2599   201           NaN  127.056077  37.484620     NaN  2021-01-19  \n",
       "2600   901           NaN  127.013635  37.495392  1889.0  2021-01-19  \n",
       "\n",
       "[2601 rows x 44 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남부동산.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.488375</td>\n",
       "      <td>126.991394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.504996</td>\n",
       "      <td>127.044182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.483436</td>\n",
       "      <td>127.009382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.528073</td>\n",
       "      <td>127.031012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.486335</td>\n",
       "      <td>127.012363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19377</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.515058</td>\n",
       "      <td>127.022889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19378</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.516076</td>\n",
       "      <td>127.040489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19379</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.505804</td>\n",
       "      <td>127.056116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19380</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.492275</td>\n",
       "      <td>126.991262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19381</th>\n",
       "      <td>음식</td>\n",
       "      <td>37.498776</td>\n",
       "      <td>127.031685</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19382 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도\n",
       "0           음식  37.488375  126.991394\n",
       "1           음식  37.504996  127.044182\n",
       "2           음식  37.483436  127.009382\n",
       "3           음식  37.528073  127.031012\n",
       "4           음식  37.486335  127.012363\n",
       "...        ...        ...         ...\n",
       "19377       음식  37.515058  127.022889\n",
       "19378       음식  37.516076  127.040489\n",
       "19379       음식  37.505804  127.056116\n",
       "19380       음식  37.492275  126.991262\n",
       "19381       음식  37.498776  127.031685\n",
       "\n",
       "[19382 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
       "      <th>상권업종중분류명</th>\n",
       "      <th>상권업종소분류코드</th>\n",
       "      <th>...</th>\n",
       "      <th>동정보</th>\n",
       "      <th>층정보</th>\n",
       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "      <th>store_cnt</th>\n",
       "      <th>point</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>37</td>\n",
       "      <td>25545908</td>\n",
       "      <td>주공부동산</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.070856</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2017-10-30</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07086 37.48913)</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13</td>\n",
       "      <td>67</td>\n",
       "      <td>25448752</td>\n",
       "      <td>럭키공인</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-2057-8945</td>\n",
       "      <td>127.035670</td>\n",
       "      <td>37.487032</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>2016-01-26</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03567 37.48703)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>166</td>\n",
       "      <td>20968054</td>\n",
       "      <td>강변공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-536-5555</td>\n",
       "      <td>127.012702</td>\n",
       "      <td>37.518127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-09-30</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01270 37.51813)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39</td>\n",
       "      <td>210</td>\n",
       "      <td>15598991</td>\n",
       "      <td>로즈모닝공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "      <td>02-3413-1234</td>\n",
       "      <td>127.103094</td>\n",
       "      <td>37.487311</td>\n",
       "      <td>1848.0</td>\n",
       "      <td>2017-10-02</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10309 37.48731)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>46</td>\n",
       "      <td>254</td>\n",
       "      <td>15612953</td>\n",
       "      <td>반포자이이화공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
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       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>02-537-4111</td>\n",
       "      <td>127.009861</td>\n",
       "      <td>37.507110</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>2017-10-02</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00986 37.50711)</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>2596</th>\n",
       "      <td>47543</td>\n",
       "      <td>314864</td>\n",
       "      <td>17454228</td>\n",
       "      <td>영조개발</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>127.052707</td>\n",
       "      <td>37.495361</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-08</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05271 37.49536)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2597</th>\n",
       "      <td>47624</td>\n",
       "      <td>315504</td>\n",
       "      <td>17356195</td>\n",
       "      <td>에스케이광개토공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.031226</td>\n",
       "      <td>37.494024</td>\n",
       "      <td>1893.0</td>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03123 37.49402)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2598</th>\n",
       "      <td>47721</td>\n",
       "      <td>316186</td>\n",
       "      <td>17443509</td>\n",
       "      <td>에버그린감정평가사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L04</td>\n",
       "      <td>평가/개발/관리</td>\n",
       "      <td>L04A04</td>\n",
       "      <td>...</td>\n",
       "      <td>101</td>\n",
       "      <td>10</td>\n",
       "      <td>1003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.012390</td>\n",
       "      <td>37.518611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01239 37.51861)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2599</th>\n",
       "      <td>47749</td>\n",
       "      <td>316354</td>\n",
       "      <td>17353689</td>\n",
       "      <td>개포나무공인중개사사무소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>상가</td>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.056077</td>\n",
       "      <td>37.484620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05608 37.48462)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2600</th>\n",
       "      <td>47750</td>\n",
       "      <td>316355</td>\n",
       "      <td>17354225</td>\n",
       "      <td>공인중개사사무소건우</td>\n",
       "      <td>NaN</td>\n",
       "      <td>L</td>\n",
       "      <td>부동산</td>\n",
       "      <td>L01</td>\n",
       "      <td>부동산중개</td>\n",
       "      <td>L01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.013635</td>\n",
       "      <td>37.495392</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01363 37.49539)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2601 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Unnamed: 0.1    상가업소번호              상호명  지점명 상권업종대분류코드  \\\n",
       "0              5            37  25545908            주공부동산  NaN         L   \n",
       "1             13            67  25448752             럭키공인  NaN         L   \n",
       "2             30           166  20968054       강변공인중개사사무소  NaN         L   \n",
       "3             39           210  15598991     로즈모닝공인중개사사무소  NaN         L   \n",
       "4             46           254  15612953   반포자이이화공인중개사사무소  NaN         L   \n",
       "...          ...           ...       ...              ...  ...       ...   \n",
       "2596       47543        314864  17454228             영조개발  NaN         L   \n",
       "2597       47624        315504  17356195  에스케이광개토공인중개사사무소  NaN         L   \n",
       "2598       47721        316186  17443509     에버그린감정평가사사무소  NaN         L   \n",
       "2599       47749        316354  17353689     개포나무공인중개사사무소  NaN         L   \n",
       "2600       47750        316355  17354225       공인중개사사무소건우  NaN         L   \n",
       "\n",
       "     상권업종대분류명 상권업종중분류코드  상권업종중분류명 상권업종소분류코드  ...  동정보  층정보   호정보  \\\n",
       "0         부동산       L01     부동산중개    L01A01  ...  NaN    1   NaN   \n",
       "1         부동산       L01     부동산중개    L01A01  ...  NaN    1   NaN   \n",
       "2         부동산       L01     부동산중개    L01A01  ...  NaN  NaN   NaN   \n",
       "3         부동산       L01     부동산중개    L01A01  ...  NaN  NaN   102   \n",
       "4         부동산       L01     부동산중개    L01A01  ...  NaN  NaN   103   \n",
       "...       ...       ...       ...       ...  ...  ...  ...   ...   \n",
       "2596      부동산       L01     부동산중개    L01A01  ...  NaN    1   110   \n",
       "2597      부동산       L01     부동산중개    L01A01  ...  NaN    1   101   \n",
       "2598      부동산       L04  평가/개발/관리    L04A04  ...  101   10  1003   \n",
       "2599      부동산       L01     부동산중개    L01A01  ...   상가    2   201   \n",
       "2600      부동산       L01     부동산중개    L01A01  ...  NaN    9   901   \n",
       "\n",
       "              전화번호          경도         위도    상권번호     데이터기준일자 store_cnt  \\\n",
       "0              NaN  127.070856  37.489134     NaN  2017-10-30         1   \n",
       "1     02-2057-8945  127.035670  37.487032  1839.0  2016-01-26         1   \n",
       "2      02-536-5555  127.012702  37.518127     NaN  2017-09-30         1   \n",
       "3     02-3413-1234  127.103094  37.487311  1848.0  2017-10-02         1   \n",
       "4      02-537-4111  127.009861  37.507110  1940.0  2017-10-02         1   \n",
       "...            ...         ...        ...     ...         ...       ...   \n",
       "2596           NaN  127.052707  37.495361     NaN  2021-02-08         1   \n",
       "2597           NaN  127.031226  37.494024  1893.0  2021-01-19         1   \n",
       "2598           NaN  127.012390  37.518611     NaN  2021-01-19         1   \n",
       "2599           NaN  127.056077  37.484620     NaN  2021-01-19         1   \n",
       "2600           NaN  127.013635  37.495392  1889.0  2021-01-19         1   \n",
       "\n",
       "                           point  \n",
       "0     POINT (127.07086 37.48913)  \n",
       "1     POINT (127.03567 37.48703)  \n",
       "2     POINT (127.01270 37.51813)  \n",
       "3     POINT (127.10309 37.48731)  \n",
       "4     POINT (127.00986 37.50711)  \n",
       "...                          ...  \n",
       "2596  POINT (127.05271 37.49536)  \n",
       "2597  POINT (127.03123 37.49402)  \n",
       "2598  POINT (127.01239 37.51861)  \n",
       "2599  POINT (127.05608 37.48462)  \n",
       "2600  POINT (127.01363 37.49539)  \n",
       "\n",
       "[2601 rows x 46 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 2601/2601 [06:06<00:00,  7.10it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사542417</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사542418</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사542424</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사542425</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사542427</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>다사656419</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>다사663408</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>다사663409</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>다사663411</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1233 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           gid  TL_cnt\n",
       "0     다사542417       2\n",
       "1     다사542418       1\n",
       "2     다사542424       1\n",
       "3     다사542425       1\n",
       "4     다사542427       4\n",
       "...        ...     ...\n",
       "1228  다사656419       2\n",
       "1229  다사662413       2\n",
       "1230  다사663408       1\n",
       "1231  다사663409       1\n",
       "1232  다사663411       1\n",
       "\n",
       "[1233 rows x 2 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남부동산전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  '소매'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
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       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>38</td>\n",
       "      <td>20906101</td>\n",
       "      <td>닥터드레스</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D05</td>\n",
       "      <td>의복의류</td>\n",
       "      <td>D05A09</td>\n",
       "      <td>...</td>\n",
       "      <td>135280</td>\n",
       "      <td>6207.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-123-4567</td>\n",
       "      <td>127.054650</td>\n",
       "      <td>37.497359</td>\n",
       "      <td>1906.0</td>\n",
       "      <td>2016-01-26</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>45</td>\n",
       "      <td>24477849</td>\n",
       "      <td>피터팬플라워</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D02</td>\n",
       "      <td>선물/팬시/기념품</td>\n",
       "      <td>D02A02</td>\n",
       "      <td>...</td>\n",
       "      <td>137040</td>\n",
       "      <td>6545.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-595-6912</td>\n",
       "      <td>127.006816</td>\n",
       "      <td>37.506427</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>2017-09-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>48</td>\n",
       "      <td>28500399</td>\n",
       "      <td>캐논비즈니스프라자전시장</td>\n",
       "      <td>비즈니스프라자전시장</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D08</td>\n",
       "      <td>사무/문구/컴퓨터</td>\n",
       "      <td>D08A02</td>\n",
       "      <td>...</td>\n",
       "      <td>135090</td>\n",
       "      <td>6173.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-3456-0691</td>\n",
       "      <td>127.063987</td>\n",
       "      <td>37.509507</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14</td>\n",
       "      <td>79</td>\n",
       "      <td>24039016</td>\n",
       "      <td>김성자콜렉션</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D05</td>\n",
       "      <td>의복의류</td>\n",
       "      <td>D05A18</td>\n",
       "      <td>...</td>\n",
       "      <td>137040</td>\n",
       "      <td>6545.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-533-1943</td>\n",
       "      <td>127.006816</td>\n",
       "      <td>37.506427</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>2016-12-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15</td>\n",
       "      <td>100</td>\n",
       "      <td>24041982</td>\n",
       "      <td>더쉬스튜디오</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D18</td>\n",
       "      <td>사진/광학/정밀기기소매</td>\n",
       "      <td>D18A03</td>\n",
       "      <td>...</td>\n",
       "      <td>135010</td>\n",
       "      <td>6059.0</td>\n",
       "      <td>하</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-542-4933</td>\n",
       "      <td>127.040164</td>\n",
       "      <td>37.518462</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12267</th>\n",
       "      <td>47717</td>\n",
       "      <td>316152</td>\n",
       "      <td>17439856</td>\n",
       "      <td>보네르스포사</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D05</td>\n",
       "      <td>의복의류</td>\n",
       "      <td>D05A12</td>\n",
       "      <td>...</td>\n",
       "      <td>135820</td>\n",
       "      <td>6059.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-6498-6006</td>\n",
       "      <td>127.039878</td>\n",
       "      <td>37.518721</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12268</th>\n",
       "      <td>47747</td>\n",
       "      <td>316340</td>\n",
       "      <td>17435780</td>\n",
       "      <td>목서플라워</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D02</td>\n",
       "      <td>선물/팬시/기념품</td>\n",
       "      <td>D02A02</td>\n",
       "      <td>...</td>\n",
       "      <td>135917</td>\n",
       "      <td>6149.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-6081-2889</td>\n",
       "      <td>127.046697</td>\n",
       "      <td>37.506458</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>2021-01-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12269</th>\n",
       "      <td>47748</td>\n",
       "      <td>316342</td>\n",
       "      <td>17437751</td>\n",
       "      <td>플라우드플라워</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D02</td>\n",
       "      <td>선물/팬시/기념품</td>\n",
       "      <td>D02A02</td>\n",
       "      <td>...</td>\n",
       "      <td>137809</td>\n",
       "      <td>6540.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.021260</td>\n",
       "      <td>37.507269</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>2021-01-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12270</th>\n",
       "      <td>47839</td>\n",
       "      <td>316811</td>\n",
       "      <td>17371246</td>\n",
       "      <td>세븐일레븐</td>\n",
       "      <td>강남도곡로점</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D03</td>\n",
       "      <td>종합소매점</td>\n",
       "      <td>D03A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135857</td>\n",
       "      <td>6261.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.039110</td>\n",
       "      <td>37.491277</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12271</th>\n",
       "      <td>47845</td>\n",
       "      <td>316857</td>\n",
       "      <td>17458247</td>\n",
       "      <td>이마트</td>\n",
       "      <td>24역삼중앙점</td>\n",
       "      <td>D</td>\n",
       "      <td>소매</td>\n",
       "      <td>D03</td>\n",
       "      <td>종합소매점</td>\n",
       "      <td>D03A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135933</td>\n",
       "      <td>6234.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.032411</td>\n",
       "      <td>37.497764</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12272 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  Unnamed: 0.1    상가업소번호           상호명         지점명 상권업종대분류코드  \\\n",
       "0               6            38  20906101         닥터드레스         NaN         D   \n",
       "1               7            45  24477849        피터팬플라워         NaN         D   \n",
       "2               8            48  28500399  캐논비즈니스프라자전시장  비즈니스프라자전시장         D   \n",
       "3              14            79  24039016        김성자콜렉션         NaN         D   \n",
       "4              15           100  24041982        더쉬스튜디오         NaN         D   \n",
       "...           ...           ...       ...           ...         ...       ...   \n",
       "12267       47717        316152  17439856        보네르스포사         NaN         D   \n",
       "12268       47747        316340  17435780         목서플라워         NaN         D   \n",
       "12269       47748        316342  17437751       플라우드플라워         NaN         D   \n",
       "12270       47839        316811  17371246         세븐일레븐      강남도곡로점         D   \n",
       "12271       47845        316857  17458247           이마트     24역삼중앙점         D   \n",
       "\n",
       "      상권업종대분류명 상권업종중분류코드      상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  동정보  \\\n",
       "0           소매       D05          의복의류    D05A09  ...  135280  6207.0  NaN   \n",
       "1           소매       D02     선물/팬시/기념품    D02A02  ...  137040  6545.0  NaN   \n",
       "2           소매       D08     사무/문구/컴퓨터    D08A02  ...  135090  6173.0  NaN   \n",
       "3           소매       D05          의복의류    D05A18  ...  137040  6545.0  NaN   \n",
       "4           소매       D18  사진/광학/정밀기기소매    D18A03  ...  135010  6059.0    하   \n",
       "...        ...       ...           ...       ...  ...     ...     ...  ...   \n",
       "12267       소매       D05          의복의류    D05A12  ...  135820  6059.0  NaN   \n",
       "12268       소매       D02     선물/팬시/기념품    D02A02  ...  135917  6149.0  NaN   \n",
       "12269       소매       D02     선물/팬시/기념품    D02A02  ...  137809  6540.0  NaN   \n",
       "12270       소매       D03         종합소매점    D03A01  ...  135857  6261.0  NaN   \n",
       "12271       소매       D03         종합소매점    D03A01  ...  135933  6234.0  NaN   \n",
       "\n",
       "       층정보  호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0      NaN  NaN   02-123-4567  127.054650  37.497359  1906.0  2016-01-26  \n",
       "1        3  NaN   02-595-6912  127.006816  37.506427  1940.0  2017-09-13  \n",
       "2        1  NaN  02-3456-0691  127.063987  37.509507     NaN  2017-08-23  \n",
       "3        4  NaN   02-533-1943  127.006816  37.506427  1940.0  2016-12-21  \n",
       "4        1  NaN   02-542-4933  127.040164  37.518462     NaN  2016-01-27  \n",
       "...    ...  ...           ...         ...        ...     ...         ...  \n",
       "12267  NaN  NaN  02-6498-6006  127.039878  37.518721     NaN  2021-01-14  \n",
       "12268  NaN  NaN  02-6081-2889  127.046697  37.506458  1943.0  2021-01-14  \n",
       "12269  NaN  NaN           NaN  127.021260  37.507269  1960.0  2021-01-14  \n",
       "12270    1  NaN           NaN  127.039110  37.491277     NaN  2021-01-13  \n",
       "12271    1  NaN           NaN  127.032411  37.497764     NaN  2021-02-26  \n",
       "\n",
       "[12272 rows x 44 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남소매점.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.497359</td>\n",
       "      <td>127.054650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.506427</td>\n",
       "      <td>127.006816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.509507</td>\n",
       "      <td>127.063987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.506427</td>\n",
       "      <td>127.006816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.518462</td>\n",
       "      <td>127.040164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>12267</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.518721</td>\n",
       "      <td>127.039878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12268</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.506458</td>\n",
       "      <td>127.046697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12269</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.507269</td>\n",
       "      <td>127.021260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12270</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.491277</td>\n",
       "      <td>127.039110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12271</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.497764</td>\n",
       "      <td>127.032411</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12272 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도\n",
       "0           소매  37.497359  127.054650\n",
       "1           소매  37.506427  127.006816\n",
       "2           소매  37.509507  127.063987\n",
       "3           소매  37.506427  127.006816\n",
       "4           소매  37.518462  127.040164\n",
       "...        ...        ...         ...\n",
       "12267       소매  37.518721  127.039878\n",
       "12268       소매  37.506458  127.046697\n",
       "12269       소매  37.507269  127.021260\n",
       "12270       소매  37.491277  127.039110\n",
       "12271       소매  37.497764  127.032411\n",
       "\n",
       "[12272 rows x 3 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-47-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-47-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-47-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-47-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
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       "      <td>POINT (127.05465 37.49736)</td>\n",
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       "      <th>1</th>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.00682 37.50643)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.509507</td>\n",
       "      <td>127.063987</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06399 37.50951)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.506427</td>\n",
       "      <td>127.006816</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00682 37.50643)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.518462</td>\n",
       "      <td>127.040164</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04016 37.51846)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12267</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.518721</td>\n",
       "      <td>127.039878</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03988 37.51872)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12268</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.506458</td>\n",
       "      <td>127.046697</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04670 37.50646)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12269</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.507269</td>\n",
       "      <td>127.021260</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02126 37.50727)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12270</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.491277</td>\n",
       "      <td>127.039110</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03911 37.49128)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12271</th>\n",
       "      <td>소매</td>\n",
       "      <td>37.497764</td>\n",
       "      <td>127.032411</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03241 37.49776)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12272 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0           소매  37.497359  127.054650          1  POINT (127.05465 37.49736)\n",
       "1           소매  37.506427  127.006816          1  POINT (127.00682 37.50643)\n",
       "2           소매  37.509507  127.063987          1  POINT (127.06399 37.50951)\n",
       "3           소매  37.506427  127.006816          1  POINT (127.00682 37.50643)\n",
       "4           소매  37.518462  127.040164          1  POINT (127.04016 37.51846)\n",
       "...        ...        ...         ...        ...                         ...\n",
       "12267       소매  37.518721  127.039878          1  POINT (127.03988 37.51872)\n",
       "12268       소매  37.506458  127.046697          1  POINT (127.04670 37.50646)\n",
       "12269       소매  37.507269  127.021260          1  POINT (127.02126 37.50727)\n",
       "12270       소매  37.491277  127.039110          1  POINT (127.03911 37.49128)\n",
       "12271       소매  37.497764  127.032411          1  POINT (127.03241 37.49776)\n",
       "\n",
       "[12272 rows x 5 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 12272/12272 [26:09<00:00,  7.82it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사541452</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사542417</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사542421</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사542422</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사542424</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2467</th>\n",
       "      <td>다사656419</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2468</th>\n",
       "      <td>다사657420</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2469</th>\n",
       "      <td>다사662413</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2470</th>\n",
       "      <td>다사663408</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2471</th>\n",
       "      <td>다사663411</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2472 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           gid  TL_cnt\n",
       "0     다사541452       2\n",
       "1     다사542417       3\n",
       "2     다사542421       5\n",
       "3     다사542422       2\n",
       "4     다사542424       4\n",
       "...        ...     ...\n",
       "2467  다사656419       3\n",
       "2468  다사657420       1\n",
       "2469  다사662413      11\n",
       "2470  다사663408       1\n",
       "2471  다사663411      24\n",
       "\n",
       "[2472 rows x 2 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남소매점전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## '생활서비스'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
       "      <th>상권업종중분류명</th>\n",
       "      <th>상권업종소분류코드</th>\n",
       "      <th>...</th>\n",
       "      <th>구우편번호</th>\n",
       "      <th>신우편번호</th>\n",
       "      <th>동정보</th>\n",
       "      <th>층정보</th>\n",
       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9</td>\n",
       "      <td>51</td>\n",
       "      <td>6112563</td>\n",
       "      <td>소낙스</td>\n",
       "      <td>역삼점</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F14</td>\n",
       "      <td>자동차/이륜차</td>\n",
       "      <td>F14A04</td>\n",
       "      <td>...</td>\n",
       "      <td>135080</td>\n",
       "      <td>6149.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-3288-6300</td>\n",
       "      <td>127.046474</td>\n",
       "      <td>37.507105</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>2016-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>59</td>\n",
       "      <td>21942073</td>\n",
       "      <td>디자인나르세인</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F13</td>\n",
       "      <td>기타서비스업</td>\n",
       "      <td>F13A11</td>\n",
       "      <td>...</td>\n",
       "      <td>137060</td>\n",
       "      <td>6560.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-336-9877</td>\n",
       "      <td>126.986572</td>\n",
       "      <td>37.492073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20</td>\n",
       "      <td>123</td>\n",
       "      <td>15570200</td>\n",
       "      <td>이데에</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F13</td>\n",
       "      <td>기타서비스업</td>\n",
       "      <td>F13A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137903</td>\n",
       "      <td>6526.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-517-6540</td>\n",
       "      <td>127.018788</td>\n",
       "      <td>37.513817</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>2017-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24</td>\n",
       "      <td>142</td>\n",
       "      <td>20949708</td>\n",
       "      <td>크린토피아</td>\n",
       "      <td>대치선경상가점</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F02</td>\n",
       "      <td>세탁/가사서비스</td>\n",
       "      <td>F02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135836</td>\n",
       "      <td>6291.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-123-4567</td>\n",
       "      <td>127.062981</td>\n",
       "      <td>37.493145</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>2017-02-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35</td>\n",
       "      <td>190</td>\n",
       "      <td>23080605</td>\n",
       "      <td>현대세탁소</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F02</td>\n",
       "      <td>세탁/가사서비스</td>\n",
       "      <td>F02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135080</td>\n",
       "      <td>6137.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-569-8890</td>\n",
       "      <td>127.036881</td>\n",
       "      <td>37.507226</td>\n",
       "      <td>1946.0</td>\n",
       "      <td>2016-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8548</th>\n",
       "      <td>47844</td>\n",
       "      <td>316842</td>\n",
       "      <td>17433587</td>\n",
       "      <td>나</td>\n",
       "      <td>서초구립느티무쉼터내곡느티사우나</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F09</td>\n",
       "      <td>대중목욕탕/휴게</td>\n",
       "      <td>F09A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137180</td>\n",
       "      <td>6793.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.050565</td>\n",
       "      <td>37.461788</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8549</th>\n",
       "      <td>47852</td>\n",
       "      <td>316889</td>\n",
       "      <td>17433065</td>\n",
       "      <td>프롬.린붙임머리</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F01</td>\n",
       "      <td>이/미용/건강</td>\n",
       "      <td>F01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135502</td>\n",
       "      <td>6175.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.066750</td>\n",
       "      <td>37.508349</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>2021-01-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8550</th>\n",
       "      <td>47854</td>\n",
       "      <td>316900</td>\n",
       "      <td>17456528</td>\n",
       "      <td>크린스퀘어</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F02</td>\n",
       "      <td>세탁/가사서비스</td>\n",
       "      <td>F02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135877</td>\n",
       "      <td>6158.0</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>B110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.055465</td>\n",
       "      <td>37.508079</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8551</th>\n",
       "      <td>47855</td>\n",
       "      <td>316902</td>\n",
       "      <td>17431606</td>\n",
       "      <td>안젤라화이트</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F01</td>\n",
       "      <td>이/미용/건강</td>\n",
       "      <td>F01A03</td>\n",
       "      <td>...</td>\n",
       "      <td>137817</td>\n",
       "      <td>6677.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.982924</td>\n",
       "      <td>37.482598</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8552</th>\n",
       "      <td>47856</td>\n",
       "      <td>316913</td>\n",
       "      <td>17456260</td>\n",
       "      <td>서울방역공사</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>생활서비스</td>\n",
       "      <td>F02</td>\n",
       "      <td>세탁/가사서비스</td>\n",
       "      <td>F02A05</td>\n",
       "      <td>...</td>\n",
       "      <td>137843</td>\n",
       "      <td>6682.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.993660</td>\n",
       "      <td>37.484673</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8553 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Unnamed: 0.1    상가업소번호       상호명               지점명  \\\n",
       "0              9            51   6112563       소낙스               역삼점   \n",
       "1             11            59  21942073   디자인나르세인               NaN   \n",
       "2             20           123  15570200       이데에               NaN   \n",
       "3             24           142  20949708     크린토피아           대치선경상가점   \n",
       "4             35           190  23080605     현대세탁소               NaN   \n",
       "...          ...           ...       ...       ...               ...   \n",
       "8548       47844        316842  17433587         나  서초구립느티무쉼터내곡느티사우나   \n",
       "8549       47852        316889  17433065  프롬.린붙임머리               NaN   \n",
       "8550       47854        316900  17456528     크린스퀘어               NaN   \n",
       "8551       47855        316902  17431606    안젤라화이트               NaN   \n",
       "8552       47856        316913  17456260    서울방역공사               NaN   \n",
       "\n",
       "     상권업종대분류코드 상권업종대분류명 상권업종중분류코드  상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  \\\n",
       "0            F    생활서비스       F14   자동차/이륜차    F14A04  ...  135080  6149.0   \n",
       "1            F    생활서비스       F13    기타서비스업    F13A11  ...  137060  6560.0   \n",
       "2            F    생활서비스       F13    기타서비스업    F13A01  ...  137903  6526.0   \n",
       "3            F    생활서비스       F02  세탁/가사서비스    F02A01  ...  135836  6291.0   \n",
       "4            F    생활서비스       F02  세탁/가사서비스    F02A01  ...  135080  6137.0   \n",
       "...        ...      ...       ...       ...       ...  ...     ...     ...   \n",
       "8548         F    생활서비스       F09  대중목욕탕/휴게    F09A01  ...  137180  6793.0   \n",
       "8549         F    생활서비스       F01   이/미용/건강    F01A01  ...  135502  6175.0   \n",
       "8550         F    생활서비스       F02  세탁/가사서비스    F02A01  ...  135877  6158.0   \n",
       "8551         F    생활서비스       F01   이/미용/건강    F01A03  ...  137817  6677.0   \n",
       "8552         F    생활서비스       F02  세탁/가사서비스    F02A05  ...  137843  6682.0   \n",
       "\n",
       "      동정보  층정보   호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0     NaN  NaN   NaN  02-3288-6300  127.046474  37.507105  1943.0  2016-01-27  \n",
       "1     NaN  NaN   NaN   02-336-9877  126.986572  37.492073     NaN  2016-01-26  \n",
       "2     NaN    4   NaN   02-517-6540  127.018788  37.513817  1984.0  2017-10-01  \n",
       "3     NaN  NaN   NaN   02-123-4567  127.062981  37.493145  1875.0  2017-02-20  \n",
       "4     NaN  NaN   NaN   02-569-8890  127.036881  37.507226  1946.0  2016-01-26  \n",
       "...   ...  ...   ...           ...         ...        ...     ...         ...  \n",
       "8548  NaN    1   NaN           NaN  127.050565  37.461788     NaN  2021-01-13  \n",
       "8549  NaN    2   204           NaN  127.066750  37.508349  1950.0  2021-01-12  \n",
       "8550  101    1  B110           NaN  127.055465  37.508079     NaN  2021-02-11  \n",
       "8551  NaN    2   201           NaN  126.982924  37.482598     NaN  2021-01-11  \n",
       "8552  NaN    1   NaN           NaN  126.993660  37.484673     NaN  2021-02-11  \n",
       "\n",
       "[8553 rows x 44 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남생활서비스.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.507105</td>\n",
       "      <td>127.046474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.492073</td>\n",
       "      <td>126.986572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.513817</td>\n",
       "      <td>127.018788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.493145</td>\n",
       "      <td>127.062981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.507226</td>\n",
       "      <td>127.036881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8548</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.461788</td>\n",
       "      <td>127.050565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8549</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.508349</td>\n",
       "      <td>127.066750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8550</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.508079</td>\n",
       "      <td>127.055465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8551</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.482598</td>\n",
       "      <td>126.982924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8552</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.484673</td>\n",
       "      <td>126.993660</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8553 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     상권업종대분류명         위도          경도\n",
       "0       생활서비스  37.507105  127.046474\n",
       "1       생활서비스  37.492073  126.986572\n",
       "2       생활서비스  37.513817  127.018788\n",
       "3       생활서비스  37.493145  127.062981\n",
       "4       생활서비스  37.507226  127.036881\n",
       "...       ...        ...         ...\n",
       "8548    생활서비스  37.461788  127.050565\n",
       "8549    생활서비스  37.508349  127.066750\n",
       "8550    생활서비스  37.508079  127.055465\n",
       "8551    생활서비스  37.482598  126.982924\n",
       "8552    생활서비스  37.484673  126.993660\n",
       "\n",
       "[8553 rows x 3 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-56-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-56-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-56-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-56-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>store_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.507105</td>\n",
       "      <td>127.046474</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04647 37.50711)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.492073</td>\n",
       "      <td>126.986572</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98657 37.49207)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.513817</td>\n",
       "      <td>127.018788</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01879 37.51382)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.493145</td>\n",
       "      <td>127.062981</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06298 37.49314)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.507226</td>\n",
       "      <td>127.036881</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03688 37.50723)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8548</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.461788</td>\n",
       "      <td>127.050565</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05057 37.46179)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8549</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.508349</td>\n",
       "      <td>127.066750</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06675 37.50835)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8550</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.508079</td>\n",
       "      <td>127.055465</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05546 37.50808)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8551</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.482598</td>\n",
       "      <td>126.982924</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98292 37.48260)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8552</th>\n",
       "      <td>생활서비스</td>\n",
       "      <td>37.484673</td>\n",
       "      <td>126.993660</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99366 37.48467)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8553 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0       생활서비스  37.507105  127.046474          1  POINT (127.04647 37.50711)\n",
       "1       생활서비스  37.492073  126.986572          1  POINT (126.98657 37.49207)\n",
       "2       생활서비스  37.513817  127.018788          1  POINT (127.01879 37.51382)\n",
       "3       생활서비스  37.493145  127.062981          1  POINT (127.06298 37.49314)\n",
       "4       생활서비스  37.507226  127.036881          1  POINT (127.03688 37.50723)\n",
       "...       ...        ...         ...        ...                         ...\n",
       "8548    생활서비스  37.461788  127.050565          1  POINT (127.05057 37.46179)\n",
       "8549    생활서비스  37.508349  127.066750          1  POINT (127.06675 37.50835)\n",
       "8550    생활서비스  37.508079  127.055465          1  POINT (127.05546 37.50808)\n",
       "8551    생활서비스  37.482598  126.982924          1  POINT (126.98292 37.48260)\n",
       "8552    생활서비스  37.484673  126.993660          1  POINT (126.99366 37.48467)\n",
       "\n",
       "[8553 rows x 5 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 8553/8553 [18:54<00:00,  7.54it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>다사542417</td>\n",
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       "      <td>다사542418</td>\n",
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       "      <th>2265</th>\n",
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       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>2266</th>\n",
       "      <td>다사663408</td>\n",
       "      <td>5</td>\n",
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       "      <th>2267</th>\n",
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       "    <tr>\n",
       "      <th>2268</th>\n",
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       "    <tr>\n",
       "      <th>2269</th>\n",
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       "</table>\n",
       "<p>2270 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           gid  TL_cnt\n",
       "0     다사542417       4\n",
       "1     다사542418       3\n",
       "2     다사542422       2\n",
       "3     다사542423       2\n",
       "4     다사542424       1\n",
       "...        ...     ...\n",
       "2265  다사662413       6\n",
       "2266  다사663408       5\n",
       "2267  다사663411       5\n",
       "2268  다사664410       1\n",
       "2269  다사664412       1\n",
       "\n",
       "[2270 rows x 2 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남생활서비스전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## '관광/여가/오락'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
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       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
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       "      <td>127.019521</td>\n",
       "      <td>37.514850</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>2017-10-02</td>\n",
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       "      <td>137060</td>\n",
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       "      <td>N</td>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>N05</td>\n",
       "      <td>요가/단전/마사지</td>\n",
       "      <td>N05A01</td>\n",
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       "      <td>4</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2021-01-19</td>\n",
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       "      <td>103</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>37.513142</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>2021-01-19</td>\n",
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       "    <tr>\n",
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       "      <td>N02</td>\n",
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       "      <td>N02A02</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.028758</td>\n",
       "      <td>37.520477</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1021 rows × 44 columns</p>\n",
       "</div>"
      ],
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       "      Unnamed: 0  Unnamed: 0.1    상가업소번호          상호명     지점명 상권업종대분류코드  \\\n",
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       "1             43           228  15589624     디발롱스필라테스     NaN         N   \n",
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       "...          ...           ...       ...          ...     ...       ...   \n",
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       "1020       47824        316743  17458556          미슐랭     NaN         N   \n",
       "\n",
       "      상권업종대분류명 상권업종중분류코드      상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  동정보  \\\n",
       "0     관광/여가/오락       N01  PC/오락/당구/볼링등    N01A09  ...  135896  6017.0  NaN   \n",
       "1     관광/여가/오락       N05     요가/단전/마사지    N05A01  ...  137903  6526.0  NaN   \n",
       "2     관광/여가/오락       N03      연극/영화/극장    N03A06  ...  137877  6643.0    9   \n",
       "3     관광/여가/오락       N01  PC/오락/당구/볼링등    N01A03  ...  137130  6779.0  NaN   \n",
       "4     관광/여가/오락       N01  PC/오락/당구/볼링등    N01A01  ...  137060  6698.0  NaN   \n",
       "...        ...       ...           ...       ...  ...     ...     ...  ...   \n",
       "1016  관광/여가/오락       N01  PC/오락/당구/볼링등    N01A01  ...  137797  6509.0  NaN   \n",
       "1017  관광/여가/오락       N05     요가/단전/마사지    N05A01  ...  135888  6028.0  NaN   \n",
       "1018  관광/여가/오락       N05     요가/단전/마사지    N05A01  ...  135868  6096.0  NaN   \n",
       "1019  관광/여가/오락       N03      연극/영화/극장    N03A06  ...  135867  6093.0  NaN   \n",
       "1020  관광/여가/오락       N02      무도/유흥/가무    N02A02  ...  135892  6026.0  NaN   \n",
       "\n",
       "      층정보  호정보           전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0       3  NaN    02-544-3338  127.035280  37.528775  2054.0  2017-08-27  \n",
       "1     NaN  303    02-547-3345  127.019521  37.514850  1984.0  2017-10-02  \n",
       "2     NaN    6            NaN  127.017045  37.485410     NaN  2017-09-30  \n",
       "3       1  NaN  070-8104-3439  127.040265  37.469075  1760.0  2017-10-30  \n",
       "4       1  NaN    02-867-7722  126.988447  37.477960     NaN  2016-01-26  \n",
       "...   ...  ...            ...         ...        ...     ...         ...  \n",
       "1016    2  NaN            NaN  127.004451  37.511651     NaN  2016-01-26  \n",
       "1017  NaN  405            NaN  127.019997  37.522567  2045.0  2021-01-19  \n",
       "1018    4  NaN            NaN  127.050613  37.512518     NaN  2021-01-19  \n",
       "1019  103  NaN            NaN  127.044191  37.513142  1974.0  2021-01-19  \n",
       "1020  NaN  NaN            NaN  127.028758  37.520477     NaN  2021-02-26  \n",
       "\n",
       "[1021 rows x 44 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남관광여가오락.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.528775</td>\n",
       "      <td>127.035280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.514850</td>\n",
       "      <td>127.019521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.485410</td>\n",
       "      <td>127.017045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.469075</td>\n",
       "      <td>127.040265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.477960</td>\n",
       "      <td>126.988447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.511651</td>\n",
       "      <td>127.004451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.522567</td>\n",
       "      <td>127.019997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.512518</td>\n",
       "      <td>127.050613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.513142</td>\n",
       "      <td>127.044191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.520477</td>\n",
       "      <td>127.028758</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1021 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도\n",
       "0     관광/여가/오락  37.528775  127.035280\n",
       "1     관광/여가/오락  37.514850  127.019521\n",
       "2     관광/여가/오락  37.485410  127.017045\n",
       "3     관광/여가/오락  37.469075  127.040265\n",
       "4     관광/여가/오락  37.477960  126.988447\n",
       "...        ...        ...         ...\n",
       "1016  관광/여가/오락  37.511651  127.004451\n",
       "1017  관광/여가/오락  37.522567  127.019997\n",
       "1018  관광/여가/오락  37.512518  127.050613\n",
       "1019  관광/여가/오락  37.513142  127.044191\n",
       "1020  관광/여가/오락  37.520477  127.028758\n",
       "\n",
       "[1021 rows x 3 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-65-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-65-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-65-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-65-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>위도</th>\n",
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       "      <th>store_cnt</th>\n",
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       "      <th>0</th>\n",
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       "      <td>37.528775</td>\n",
       "      <td>127.035280</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03528 37.52877)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.514850</td>\n",
       "      <td>127.019521</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01952 37.51485)</td>\n",
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       "      <th>2</th>\n",
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       "      <td>37.485410</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.01705 37.48541)</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.469075</td>\n",
       "      <td>127.040265</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04026 37.46908)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.477960</td>\n",
       "      <td>126.988447</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98845 37.47796)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.511651</td>\n",
       "      <td>127.004451</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00445 37.51165)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.522567</td>\n",
       "      <td>127.019997</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02000 37.52257)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.512518</td>\n",
       "      <td>127.050613</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05061 37.51252)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.513142</td>\n",
       "      <td>127.044191</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04419 37.51314)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>관광/여가/오락</td>\n",
       "      <td>37.520477</td>\n",
       "      <td>127.028758</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02876 37.52048)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1021 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0     관광/여가/오락  37.528775  127.035280          1  POINT (127.03528 37.52877)\n",
       "1     관광/여가/오락  37.514850  127.019521          1  POINT (127.01952 37.51485)\n",
       "2     관광/여가/오락  37.485410  127.017045          1  POINT (127.01705 37.48541)\n",
       "3     관광/여가/오락  37.469075  127.040265          1  POINT (127.04026 37.46908)\n",
       "4     관광/여가/오락  37.477960  126.988447          1  POINT (126.98845 37.47796)\n",
       "...        ...        ...         ...        ...                         ...\n",
       "1016  관광/여가/오락  37.511651  127.004451          1  POINT (127.00445 37.51165)\n",
       "1017  관광/여가/오락  37.522567  127.019997          1  POINT (127.02000 37.52257)\n",
       "1018  관광/여가/오락  37.512518  127.050613          1  POINT (127.05061 37.51252)\n",
       "1019  관광/여가/오락  37.513142  127.044191          1  POINT (127.04419 37.51314)\n",
       "1020  관광/여가/오락  37.520477  127.028758          1  POINT (127.02876 37.52048)\n",
       "\n",
       "[1021 rows x 5 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 1021/1021 [02:31<00:00,  6.75it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>0</th>\n",
       "      <td>다사542420</td>\n",
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       "      <td>다사542422</td>\n",
       "      <td>2</td>\n",
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       "      <th>3</th>\n",
       "      <td>다사542423</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사542424</td>\n",
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       "      <th>...</th>\n",
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       "      <th>633</th>\n",
       "      <td>다사648432</td>\n",
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       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>다사649416</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>다사649431</td>\n",
       "      <td>8</td>\n",
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       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>다사656419</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>다사661406</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>638 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0    다사542420       1\n",
       "1    다사542421       3\n",
       "2    다사542422       2\n",
       "3    다사542423       1\n",
       "4    다사542424       1\n",
       "..        ...     ...\n",
       "633  다사648432       1\n",
       "634  다사649416       1\n",
       "635  다사649431       8\n",
       "636  다사656419       1\n",
       "637  다사661406       1\n",
       "\n",
       "[638 rows x 2 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남관광여가오락전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## '학문/교육'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
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       "      <td>37.494201</td>\n",
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       "      <td>2016-01-27</td>\n",
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       "      <th>2</th>\n",
       "      <td>25</td>\n",
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       "      <td>20966240</td>\n",
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       "      <th>3643</th>\n",
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       "      <td>47680</td>\n",
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       "      <td>135888</td>\n",
       "      <td>6028.0</td>\n",
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       "      <td>4</td>\n",
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       "      <td>02-512-0479</td>\n",
       "      <td>127.021289</td>\n",
       "      <td>37.523280</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>2021-01-14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3646 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Unnamed: 0.1    상가업소번호                상호명  지점명 상권업종대분류코드  \\\n",
       "0             12            61  24523198             노바수학학원  NaN         R   \n",
       "1             18           115  24046008                STA  NaN         R   \n",
       "2             25           151  20966240            설악피아노학원  NaN         R   \n",
       "3             47           256  24575383         개념과유형수학교습소  NaN         R   \n",
       "4             50           288  25493310             방배홍익미술  NaN         R   \n",
       "...          ...           ...       ...                ...  ...       ...   \n",
       "3641       47667        315823  17191780            골드캐슬원룸텔  NaN         R   \n",
       "3642       47669        315833  17230168  케이제이무용아카데미&재활운동센터  NaN         R   \n",
       "3643       47670        315834  17230115        뒤셀도르프바이올린슐레  NaN         R   \n",
       "3644       47680        315902  17436132           그림아트스튜디오  NaN         R   \n",
       "3645       47681        315912  17434699               솔트수학  NaN         R   \n",
       "\n",
       "     상권업종대분류명 상권업종중분류코드   상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  동정보  층정보  \\\n",
       "0       학문/교육       R01  학원-보습교습입시    R01A01  ...  135939  6335.0  NaN  NaN   \n",
       "1       학문/교육       R13     학문교육기타    R13A03  ...  135506  6276.0  NaN  NaN   \n",
       "2       학문/교육       R05  학원-음악미술무용    R05A02  ...  137723  6515.0  NaN    2   \n",
       "3       학문/교육       R01  학원-보습교습입시    R01A01  ...  135230  6350.0  NaN    4   \n",
       "4       학문/교육       R05  학원-음악미술무용    R05A01  ...  137060  6679.0  NaN    3   \n",
       "...       ...       ...        ...       ...  ...     ...     ...  ...  ...   \n",
       "3641    학문/교육       R10    도서관/독서실    R10A02  ...  135859  6259.0  NaN    5   \n",
       "3642    학문/교육       R05  학원-음악미술무용    R05A02  ...  135953  6072.0  NaN    2   \n",
       "3643    학문/교육       R05  학원-음악미술무용    R05A02  ...  135957  6013.0  101  NaN   \n",
       "3644    학문/교육       R05  학원-음악미술무용    R05A01  ...  135949  6065.0  NaN  NaN   \n",
       "3645    학문/교육       R09       학원기타    R09A11  ...  135888  6028.0  NaN    4   \n",
       "\n",
       "       호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0      606  02-2226-8286  127.075573  37.492649     NaN  2016-01-26  \n",
       "1      505   02-577-5325  127.049714  37.494201     NaN  2016-01-27  \n",
       "2      NaN   02-593-9292  127.015432  37.517844     NaN  2017-10-06  \n",
       "3      NaN  02-6085-5262  127.079606  37.482850     NaN  2017-10-30  \n",
       "4      NaN  02-3487-3661  126.987525  37.482611     NaN  2017-10-11  \n",
       "...    ...           ...         ...        ...     ...         ...  \n",
       "3641     4           NaN  127.033531  37.489826     NaN  2020-12-07  \n",
       "3642   NaN           NaN  127.054754  37.522274  2034.0  2020-12-22  \n",
       "3643  1304           NaN  127.052389  37.526796     NaN  2020-12-22  \n",
       "3644   NaN  02-6082-0370  127.044823  37.521275     NaN  2021-01-14  \n",
       "3645   NaN   02-512-0479  127.021289  37.523280  2045.0  2021-01-14  \n",
       "\n",
       "[3646 rows x 44 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남학문교육.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.492649</td>\n",
       "      <td>127.075573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.494201</td>\n",
       "      <td>127.049714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.517844</td>\n",
       "      <td>127.015432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.482850</td>\n",
       "      <td>127.079606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.482611</td>\n",
       "      <td>126.987525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3641</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.489826</td>\n",
       "      <td>127.033531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3642</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.522274</td>\n",
       "      <td>127.054754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3643</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.526796</td>\n",
       "      <td>127.052389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3644</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.521275</td>\n",
       "      <td>127.044823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3645</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.523280</td>\n",
       "      <td>127.021289</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3646 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     상권업종대분류명         위도          경도\n",
       "0       학문/교육  37.492649  127.075573\n",
       "1       학문/교육  37.494201  127.049714\n",
       "2       학문/교육  37.517844  127.015432\n",
       "3       학문/교육  37.482850  127.079606\n",
       "4       학문/교육  37.482611  126.987525\n",
       "...       ...        ...         ...\n",
       "3641    학문/교육  37.489826  127.033531\n",
       "3642    학문/교육  37.522274  127.054754\n",
       "3643    학문/교육  37.526796  127.052389\n",
       "3644    학문/교육  37.521275  127.044823\n",
       "3645    학문/교육  37.523280  127.021289\n",
       "\n",
       "[3646 rows x 3 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-74-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-74-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-74-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-74-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>store_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.492649</td>\n",
       "      <td>127.075573</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07557 37.49265)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.494201</td>\n",
       "      <td>127.049714</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04971 37.49420)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.517844</td>\n",
       "      <td>127.015432</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01543 37.51784)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.482850</td>\n",
       "      <td>127.079606</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07961 37.48285)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.482611</td>\n",
       "      <td>126.987525</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98753 37.48261)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3641</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.489826</td>\n",
       "      <td>127.033531</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03353 37.48983)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3642</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.522274</td>\n",
       "      <td>127.054754</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05475 37.52227)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3643</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.526796</td>\n",
       "      <td>127.052389</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05239 37.52680)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3644</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.521275</td>\n",
       "      <td>127.044823</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04482 37.52127)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3645</th>\n",
       "      <td>학문/교육</td>\n",
       "      <td>37.523280</td>\n",
       "      <td>127.021289</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02129 37.52328)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3646 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0       학문/교육  37.492649  127.075573          1  POINT (127.07557 37.49265)\n",
       "1       학문/교육  37.494201  127.049714          1  POINT (127.04971 37.49420)\n",
       "2       학문/교육  37.517844  127.015432          1  POINT (127.01543 37.51784)\n",
       "3       학문/교육  37.482850  127.079606          1  POINT (127.07961 37.48285)\n",
       "4       학문/교육  37.482611  126.987525          1  POINT (126.98753 37.48261)\n",
       "...       ...        ...         ...        ...                         ...\n",
       "3641    학문/교육  37.489826  127.033531          1  POINT (127.03353 37.48983)\n",
       "3642    학문/교육  37.522274  127.054754          1  POINT (127.05475 37.52227)\n",
       "3643    학문/교육  37.526796  127.052389          1  POINT (127.05239 37.52680)\n",
       "3644    학문/교육  37.521275  127.044823          1  POINT (127.04482 37.52127)\n",
       "3645    학문/교육  37.523280  127.021289          1  POINT (127.02129 37.52328)\n",
       "\n",
       "[3646 rows x 5 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 3646/3646 [08:36<00:00,  7.05it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사542417</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사542418</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사542421</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사542422</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사542423</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1374</th>\n",
       "      <td>다사655418</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1375</th>\n",
       "      <td>다사656419</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1376</th>\n",
       "      <td>다사657418</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1377</th>\n",
       "      <td>다사658419</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1378</th>\n",
       "      <td>다사663409</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1379 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           gid  TL_cnt\n",
       "0     다사542417       1\n",
       "1     다사542418       2\n",
       "2     다사542421       1\n",
       "3     다사542422       1\n",
       "4     다사542423       1\n",
       "...        ...     ...\n",
       "1374  다사655418       1\n",
       "1375  다사656419       3\n",
       "1376  다사657418       1\n",
       "1377  다사658419       2\n",
       "1378  다사663409       1\n",
       "\n",
       "[1379 rows x 2 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남학문교육전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  '숙박'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
       "      <th>상권업종중분류명</th>\n",
       "      <th>상권업종소분류코드</th>\n",
       "      <th>...</th>\n",
       "      <th>구우편번호</th>\n",
       "      <th>신우편번호</th>\n",
       "      <th>동정보</th>\n",
       "      <th>층정보</th>\n",
       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>29</td>\n",
       "      <td>161</td>\n",
       "      <td>28494447</td>\n",
       "      <td>아트호텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137070</td>\n",
       "      <td>6652.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-584-6701</td>\n",
       "      <td>127.012875</td>\n",
       "      <td>37.486952</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>2017-09-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>66</td>\n",
       "      <td>396</td>\n",
       "      <td>15655467</td>\n",
       "      <td>블루펄호텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135812</td>\n",
       "      <td>6040.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.025433</td>\n",
       "      <td>37.517809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-10-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>236</td>\n",
       "      <td>1488</td>\n",
       "      <td>15496894</td>\n",
       "      <td>강남스테이호텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135924</td>\n",
       "      <td>6236.0</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.035443</td>\n",
       "      <td>37.499411</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-09-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>638</td>\n",
       "      <td>3656</td>\n",
       "      <td>28510235</td>\n",
       "      <td>알로프트호텔서울강남(2014년10월개관예정)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135957</td>\n",
       "      <td>6075.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-510-9700</td>\n",
       "      <td>127.055641</td>\n",
       "      <td>37.523731</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>759</td>\n",
       "      <td>4366</td>\n",
       "      <td>28507200</td>\n",
       "      <td>인더시티레지던스</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135010</td>\n",
       "      <td>6110.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.023502</td>\n",
       "      <td>37.510531</td>\n",
       "      <td>1967.0</td>\n",
       "      <td>2017-09-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>45570</td>\n",
       "      <td>302723</td>\n",
       "      <td>23317162</td>\n",
       "      <td>화이트모텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O02</td>\n",
       "      <td>모텔/여관/여인숙</td>\n",
       "      <td>O02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135080</td>\n",
       "      <td>6141.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-564-5286</td>\n",
       "      <td>127.038489</td>\n",
       "      <td>37.502616</td>\n",
       "      <td>1928.0</td>\n",
       "      <td>2017-09-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>45840</td>\n",
       "      <td>304685</td>\n",
       "      <td>17242833</td>\n",
       "      <td>잠원동렌탈하우스</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O03</td>\n",
       "      <td>캠프/별장/펜션</td>\n",
       "      <td>O03A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137030</td>\n",
       "      <td>6518.0</td>\n",
       "      <td>101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.011702</td>\n",
       "      <td>37.515046</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-12-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>46560</td>\n",
       "      <td>308851</td>\n",
       "      <td>23284541</td>\n",
       "      <td>강남아르누보씨티호텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137070</td>\n",
       "      <td>6626.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-580-7500</td>\n",
       "      <td>127.028125</td>\n",
       "      <td>37.493404</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>2017-10-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>47024</td>\n",
       "      <td>311777</td>\n",
       "      <td>23073694</td>\n",
       "      <td>유원메이트관광호텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137070</td>\n",
       "      <td>6653.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-585-0561</td>\n",
       "      <td>127.012818</td>\n",
       "      <td>37.485240</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>2017-09-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>47081</td>\n",
       "      <td>312074</td>\n",
       "      <td>23051999</td>\n",
       "      <td>자스민호텔</td>\n",
       "      <td>NaN</td>\n",
       "      <td>O</td>\n",
       "      <td>숙박</td>\n",
       "      <td>O01</td>\n",
       "      <td>호텔/콘도</td>\n",
       "      <td>O01A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137070</td>\n",
       "      <td>6651.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-3487-1700</td>\n",
       "      <td>127.013864</td>\n",
       "      <td>37.487402</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>2017-10-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>232 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  Unnamed: 0.1    상가업소번호                       상호명  지점명  \\\n",
       "0            29           161  28494447                      아트호텔  NaN   \n",
       "1            66           396  15655467                     블루펄호텔  NaN   \n",
       "2           236          1488  15496894                   강남스테이호텔  NaN   \n",
       "3           638          3656  28510235  알로프트호텔서울강남(2014년10월개관예정)  NaN   \n",
       "4           759          4366  28507200                  인더시티레지던스  NaN   \n",
       "..          ...           ...       ...                       ...  ...   \n",
       "227       45570        302723  23317162                     화이트모텔  NaN   \n",
       "228       45840        304685  17242833                  잠원동렌탈하우스  NaN   \n",
       "229       46560        308851  23284541                강남아르누보씨티호텔  NaN   \n",
       "230       47024        311777  23073694                 유원메이트관광호텔  NaN   \n",
       "231       47081        312074  23051999                     자스민호텔  NaN   \n",
       "\n",
       "    상권업종대분류코드 상권업종대분류명 상권업종중분류코드   상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  \\\n",
       "0           O       숙박       O01      호텔/콘도    O01A01  ...  137070  6652.0   \n",
       "1           O       숙박       O01      호텔/콘도    O01A01  ...  135812  6040.0   \n",
       "2           O       숙박       O01      호텔/콘도    O01A01  ...  135924  6236.0   \n",
       "3           O       숙박       O01      호텔/콘도    O01A01  ...  135957  6075.0   \n",
       "4           O       숙박       O01      호텔/콘도    O01A01  ...  135010  6110.0   \n",
       "..        ...      ...       ...        ...       ...  ...     ...     ...   \n",
       "227         O       숙박       O02  모텔/여관/여인숙    O02A01  ...  135080  6141.0   \n",
       "228         O       숙박       O03   캠프/별장/펜션    O03A01  ...  137030  6518.0   \n",
       "229         O       숙박       O01      호텔/콘도    O01A01  ...  137070  6626.0   \n",
       "230         O       숙박       O01      호텔/콘도    O01A01  ...  137070  6653.0   \n",
       "231         O       숙박       O01      호텔/콘도    O01A01  ...  137070  6651.0   \n",
       "\n",
       "     동정보  층정보     호정보          전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0    NaN  1.0     NaN   02-584-6701  127.012875  37.486952  1845.0  2017-09-23  \n",
       "1    NaN  NaN     NaN           NaN  127.025433  37.517809     NaN  2017-10-02  \n",
       "2      S  NaN     1.0           NaN  127.035443  37.499411     NaN  2017-09-30  \n",
       "3    NaN  1.0     NaN   02-510-9700  127.055641  37.523731     NaN  2017-08-26  \n",
       "4      1  1.0     NaN           NaN  127.023502  37.510531  1967.0  2017-09-17  \n",
       "..   ...  ...     ...           ...         ...        ...     ...         ...  \n",
       "227  NaN  1.0     NaN   02-564-5286  127.038489  37.502616  1928.0  2017-09-25  \n",
       "228  101  NaN  1202.0           NaN  127.011702  37.515046     NaN  2020-12-23  \n",
       "229  NaN  3.0     NaN   02-580-7500  127.028125  37.493404  1887.0  2017-10-03  \n",
       "230  NaN  2.0     NaN   02-585-0561  127.012818  37.485240  1845.0  2017-09-23  \n",
       "231  NaN  1.0     NaN  02-3487-1700  127.013864  37.487402  1845.0  2017-10-06  \n",
       "\n",
       "[232 rows x 44 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남숙박.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.486952</td>\n",
       "      <td>127.012875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.517809</td>\n",
       "      <td>127.025433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.499411</td>\n",
       "      <td>127.035443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.523731</td>\n",
       "      <td>127.055641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.510531</td>\n",
       "      <td>127.023502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.502616</td>\n",
       "      <td>127.038489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.515046</td>\n",
       "      <td>127.011702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.493404</td>\n",
       "      <td>127.028125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.485240</td>\n",
       "      <td>127.012818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.487402</td>\n",
       "      <td>127.013864</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>232 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    상권업종대분류명         위도          경도\n",
       "0         숙박  37.486952  127.012875\n",
       "1         숙박  37.517809  127.025433\n",
       "2         숙박  37.499411  127.035443\n",
       "3         숙박  37.523731  127.055641\n",
       "4         숙박  37.510531  127.023502\n",
       "..       ...        ...         ...\n",
       "227       숙박  37.502616  127.038489\n",
       "228       숙박  37.515046  127.011702\n",
       "229       숙박  37.493404  127.028125\n",
       "230       숙박  37.485240  127.012818\n",
       "231       숙박  37.487402  127.013864\n",
       "\n",
       "[232 rows x 3 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-83-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-83-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-83-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-83-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>store_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.486952</td>\n",
       "      <td>127.012875</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01288 37.48695)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.517809</td>\n",
       "      <td>127.025433</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02543 37.51781)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.499411</td>\n",
       "      <td>127.035443</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03544 37.49941)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.523731</td>\n",
       "      <td>127.055641</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05564 37.52373)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.510531</td>\n",
       "      <td>127.023502</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02350 37.51053)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.502616</td>\n",
       "      <td>127.038489</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03849 37.50262)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.515046</td>\n",
       "      <td>127.011702</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01170 37.51505)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.493404</td>\n",
       "      <td>127.028125</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02812 37.49340)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.485240</td>\n",
       "      <td>127.012818</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01282 37.48524)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>숙박</td>\n",
       "      <td>37.487402</td>\n",
       "      <td>127.013864</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01386 37.48740)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>232 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0         숙박  37.486952  127.012875          1  POINT (127.01288 37.48695)\n",
       "1         숙박  37.517809  127.025433          1  POINT (127.02543 37.51781)\n",
       "2         숙박  37.499411  127.035443          1  POINT (127.03544 37.49941)\n",
       "3         숙박  37.523731  127.055641          1  POINT (127.05564 37.52373)\n",
       "4         숙박  37.510531  127.023502          1  POINT (127.02350 37.51053)\n",
       "..       ...        ...         ...        ...                         ...\n",
       "227       숙박  37.502616  127.038489          1  POINT (127.03849 37.50262)\n",
       "228       숙박  37.515046  127.011702          1  POINT (127.01170 37.51505)\n",
       "229       숙박  37.493404  127.028125          1  POINT (127.02812 37.49340)\n",
       "230       숙박  37.485240  127.012818          1  POINT (127.01282 37.48524)\n",
       "231       숙박  37.487402  127.013864          1  POINT (127.01386 37.48740)\n",
       "\n",
       "[232 rows x 5 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 232/232 [00:32<00:00,  7.15it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사542433</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사543427</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사545426</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사545440</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사545443</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>다사613457</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>다사614455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>다사615455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>다사616456</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>다사630428</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>165 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0    다사542433       1\n",
       "1    다사543427       2\n",
       "2    다사545426       1\n",
       "3    다사545440       2\n",
       "4    다사545443       1\n",
       "..        ...     ...\n",
       "160  다사613457       3\n",
       "161  다사614455       1\n",
       "162  다사615455       1\n",
       "163  다사616456       1\n",
       "164  다사630428       1\n",
       "\n",
       "[165 rows x 2 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남숙박전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  '스포츠'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>상가업소번호</th>\n",
       "      <th>상호명</th>\n",
       "      <th>지점명</th>\n",
       "      <th>상권업종대분류코드</th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>상권업종중분류코드</th>\n",
       "      <th>상권업종중분류명</th>\n",
       "      <th>상권업종소분류코드</th>\n",
       "      <th>...</th>\n",
       "      <th>구우편번호</th>\n",
       "      <th>신우편번호</th>\n",
       "      <th>동정보</th>\n",
       "      <th>층정보</th>\n",
       "      <th>호정보</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>경도</th>\n",
       "      <th>위도</th>\n",
       "      <th>상권번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1482</td>\n",
       "      <td>8767</td>\n",
       "      <td>16173497</td>\n",
       "      <td>블록체인과암호화폐</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P01</td>\n",
       "      <td>운영관리시설</td>\n",
       "      <td>P01A99</td>\n",
       "      <td>...</td>\n",
       "      <td>135509</td>\n",
       "      <td>6153.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.049234</td>\n",
       "      <td>37.511543</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-08-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2027</td>\n",
       "      <td>12125</td>\n",
       "      <td>16423558</td>\n",
       "      <td>KKM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135820</td>\n",
       "      <td>6059.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.040065</td>\n",
       "      <td>37.518254</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>2020-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2102</td>\n",
       "      <td>12597</td>\n",
       "      <td>16423452</td>\n",
       "      <td>커넥스터</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137898</td>\n",
       "      <td>6784.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02-573-1333</td>\n",
       "      <td>127.045747</td>\n",
       "      <td>37.471796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2104</td>\n",
       "      <td>12604</td>\n",
       "      <td>16421920</td>\n",
       "      <td>루카스포츠</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135820</td>\n",
       "      <td>6059.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.040261</td>\n",
       "      <td>37.517967</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>2020-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2239</td>\n",
       "      <td>13422</td>\n",
       "      <td>16202500</td>\n",
       "      <td>짱뽕킹</td>\n",
       "      <td>FIT</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A13</td>\n",
       "      <td>...</td>\n",
       "      <td>135893</td>\n",
       "      <td>6025.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>02-543-0806</td>\n",
       "      <td>127.028506</td>\n",
       "      <td>37.521583</td>\n",
       "      <td>2053.0</td>\n",
       "      <td>2018-09-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>46449</td>\n",
       "      <td>308285</td>\n",
       "      <td>17182437</td>\n",
       "      <td>플레이존스포츠</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A14</td>\n",
       "      <td>...</td>\n",
       "      <td>135888</td>\n",
       "      <td>6028.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.020323</td>\n",
       "      <td>37.522696</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>2020-12-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>46683</td>\n",
       "      <td>309647</td>\n",
       "      <td>17186013</td>\n",
       "      <td>아이러브스포츠</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A14</td>\n",
       "      <td>...</td>\n",
       "      <td>137877</td>\n",
       "      <td>6643.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.020364</td>\n",
       "      <td>37.486708</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-12-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>47370</td>\n",
       "      <td>313767</td>\n",
       "      <td>17452770</td>\n",
       "      <td>스포츠재활재활PT운동진정성</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>137840</td>\n",
       "      <td>6588.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.996066</td>\n",
       "      <td>37.489919</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>47472</td>\n",
       "      <td>314386</td>\n",
       "      <td>17452889</td>\n",
       "      <td>스튜디오베이스</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A01</td>\n",
       "      <td>...</td>\n",
       "      <td>135555</td>\n",
       "      <td>6295.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.051842</td>\n",
       "      <td>37.486911</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>47493</td>\n",
       "      <td>314555</td>\n",
       "      <td>17452808</td>\n",
       "      <td>스포원테니스장</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>스포츠</td>\n",
       "      <td>P02</td>\n",
       "      <td>실내운동시설</td>\n",
       "      <td>P02A99</td>\n",
       "      <td>...</td>\n",
       "      <td>137817</td>\n",
       "      <td>6675.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.984113</td>\n",
       "      <td>37.484987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  Unnamed: 0.1    상가업소번호             상호명  지점명 상권업종대분류코드  \\\n",
       "0          1482          8767  16173497       블록체인과암호화폐  NaN         P   \n",
       "1          2027         12125  16423558             KKM  NaN         P   \n",
       "2          2102         12597  16423452            커넥스터  NaN         P   \n",
       "3          2104         12604  16421920           루카스포츠  NaN         P   \n",
       "4          2239         13422  16202500             짱뽕킹  FIT         P   \n",
       "..          ...           ...       ...             ...  ...       ...   \n",
       "147       46449        308285  17182437         플레이존스포츠  NaN         P   \n",
       "148       46683        309647  17186013         아이러브스포츠  NaN         P   \n",
       "149       47370        313767  17452770  스포츠재활재활PT운동진정성  NaN         P   \n",
       "150       47472        314386  17452889         스튜디오베이스  NaN         P   \n",
       "151       47493        314555  17452808         스포원테니스장  NaN         P   \n",
       "\n",
       "    상권업종대분류명 상권업종중분류코드 상권업종중분류명 상권업종소분류코드  ...   구우편번호   신우편번호  동정보  층정보  호정보  \\\n",
       "0        스포츠       P01   운영관리시설    P01A99  ...  135509  6153.0  NaN    9  901   \n",
       "1        스포츠       P02   실내운동시설    P02A01  ...  135820  6059.0  NaN    3  NaN   \n",
       "2        스포츠       P02   실내운동시설    P02A01  ...  137898  6784.0  NaN    5  NaN   \n",
       "3        스포츠       P02   실내운동시설    P02A01  ...  135820  6059.0  NaN    5  502   \n",
       "4        스포츠       P02   실내운동시설    P02A13  ...  135893  6025.0  NaN  NaN    1   \n",
       "..       ...       ...      ...       ...  ...     ...     ...  ...  ...  ...   \n",
       "147      스포츠       P02   실내운동시설    P02A14  ...  135888  6028.0  NaN    1  NaN   \n",
       "148      스포츠       P02   실내운동시설    P02A14  ...  137877  6643.0  NaN  NaN  102   \n",
       "149      스포츠       P02   실내운동시설    P02A01  ...  137840  6588.0  NaN  NaN  201   \n",
       "150      스포츠       P02   실내운동시설    P02A01  ...  135555  6295.0  NaN   22   14   \n",
       "151      스포츠       P02   실내운동시설    P02A99  ...  137817  6675.0  NaN    1  NaN   \n",
       "\n",
       "            전화번호          경도         위도    상권번호     데이터기준일자  \n",
       "0            NaN  127.049234  37.511543     NaN  2018-08-29  \n",
       "1            NaN  127.040065  37.518254  1991.0  2020-03-02  \n",
       "2    02-573-1333  127.045747  37.471796     NaN  2020-03-02  \n",
       "3            NaN  127.040261  37.517967  1991.0  2020-03-02  \n",
       "4    02-543-0806  127.028506  37.521583  2053.0  2018-09-14  \n",
       "..           ...         ...        ...     ...         ...  \n",
       "147          NaN  127.020323  37.522696  2045.0  2020-12-07  \n",
       "148          NaN  127.020364  37.486708     NaN  2020-12-07  \n",
       "149          NaN  126.996066  37.489919     NaN  2021-02-04  \n",
       "150          NaN  127.051842  37.486911     NaN  2021-02-04  \n",
       "151          NaN  126.984113  37.484987     NaN  2021-02-04  \n",
       "\n",
       "[152 rows x 44 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/상업대분류/서초강남스포츠.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"상권업종대분류명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>상권업종대분류명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.511543</td>\n",
       "      <td>127.049234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.518254</td>\n",
       "      <td>127.040065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.471796</td>\n",
       "      <td>127.045747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.517967</td>\n",
       "      <td>127.040261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.521583</td>\n",
       "      <td>127.028506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.522696</td>\n",
       "      <td>127.020323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.486708</td>\n",
       "      <td>127.020364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.489919</td>\n",
       "      <td>126.996066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.486911</td>\n",
       "      <td>127.051842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.484987</td>\n",
       "      <td>126.984113</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    상권업종대분류명         위도          경도\n",
       "0        스포츠  37.511543  127.049234\n",
       "1        스포츠  37.518254  127.040065\n",
       "2        스포츠  37.471796  127.045747\n",
       "3        스포츠  37.517967  127.040261\n",
       "4        스포츠  37.521583  127.028506\n",
       "..       ...        ...         ...\n",
       "147      스포츠  37.522696  127.020323\n",
       "148      스포츠  37.486708  127.020364\n",
       "149      스포츠  37.489919  126.996066\n",
       "150      스포츠  37.486911  127.051842\n",
       "151      스포츠  37.484987  126.984113\n",
       "\n",
       "[152 rows x 3 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-92-9ea83613d36b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['store_cnt']=1\n",
      "<ipython-input-92-9ea83613d36b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-92-9ea83613d36b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-92-9ea83613d36b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['store_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>상권업종대분류명</th>\n",
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       "      <td>37.511543</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.04923 37.51154)</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.518254</td>\n",
       "      <td>127.040065</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04006 37.51825)</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.471796</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.04575 37.47180)</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.517967</td>\n",
       "      <td>127.040261</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04026 37.51797)</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.521583</td>\n",
       "      <td>127.028506</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02851 37.52158)</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.522696</td>\n",
       "      <td>127.020323</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02032 37.52270)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.486708</td>\n",
       "      <td>127.020364</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02036 37.48671)</td>\n",
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       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.489919</td>\n",
       "      <td>126.996066</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99607 37.48992)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.486911</td>\n",
       "      <td>127.051842</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05184 37.48691)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>스포츠</td>\n",
       "      <td>37.484987</td>\n",
       "      <td>126.984113</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98411 37.48499)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    상권업종대분류명         위도          경도  store_cnt                       point\n",
       "0        스포츠  37.511543  127.049234          1  POINT (127.04923 37.51154)\n",
       "1        스포츠  37.518254  127.040065          1  POINT (127.04006 37.51825)\n",
       "2        스포츠  37.471796  127.045747          1  POINT (127.04575 37.47180)\n",
       "3        스포츠  37.517967  127.040261          1  POINT (127.04026 37.51797)\n",
       "4        스포츠  37.521583  127.028506          1  POINT (127.02851 37.52158)\n",
       "..       ...        ...         ...        ...                         ...\n",
       "147      스포츠  37.522696  127.020323          1  POINT (127.02032 37.52270)\n",
       "148      스포츠  37.486708  127.020364          1  POINT (127.02036 37.48671)\n",
       "149      스포츠  37.489919  126.996066          1  POINT (126.99607 37.48992)\n",
       "150      스포츠  37.486911  127.051842          1  POINT (127.05184 37.48691)\n",
       "151      스포츠  37.484987  126.984113          1  POINT (126.98411 37.48499)\n",
       "\n",
       "[152 rows x 5 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 152/152 [00:20<00:00,  7.49it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사542418</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사543426</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사543429</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사543443</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사545437</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>다사621444</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>다사628439</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>다사632437</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>다사633438</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>다사650433</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>141 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0    다사542418       1\n",
       "1    다사543426       1\n",
       "2    다사543429       1\n",
       "3    다사543443       1\n",
       "4    다사545437       1\n",
       "..        ...     ...\n",
       "136  다사621444       1\n",
       "137  다사628439       2\n",
       "138  다사632437       1\n",
       "139  다사633438       1\n",
       "140  다사650433       1\n",
       "\n",
       "[141 rows x 2 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남스포츠전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 과속방지턱 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>과속방지턱관리번호</th>\n",
       "      <th>시도명</th>\n",
       "      <th>시군구명</th>\n",
       "      <th>도로명</th>\n",
       "      <th>소재지도로명주소</th>\n",
       "      <th>소재지지번주소</th>\n",
       "      <th>설치장소</th>\n",
       "      <th>과속방지턱재료</th>\n",
       "      <th>과속방지턱형태구분</th>\n",
       "      <th>...</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>보차분리여부</th>\n",
       "      <th>연속형여부</th>\n",
       "      <th>과속방지턱설치년도</th>\n",
       "      <th>관리기관명</th>\n",
       "      <th>관리기관전화번호</th>\n",
       "      <th>데이터기준일자</th>\n",
       "      <th>제공기관코드</th>\n",
       "      <th>제공기관명</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1391</td>\n",
       "      <td>21.0</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 서초동 1301-11</td>\n",
       "      <td>경부고속도로(서울방향) 반포IC 진출램프</td>\n",
       "      <td>99</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.501648</td>\n",
       "      <td>127.019357</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>서울시설공단</td>\n",
       "      <td>02-2290-6363</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>6110000.0</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1392</td>\n",
       "      <td>20.0</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 잠원동 86</td>\n",
       "      <td>경부고속도로(부산방향) 잠원IC 진출램프</td>\n",
       "      <td>99</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.509701</td>\n",
       "      <td>127.015514</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울시설공단</td>\n",
       "      <td>02-2290-6363</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>6110000.0</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1393</td>\n",
       "      <td>19.0</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 잠원동 86</td>\n",
       "      <td>경부고속도로(부산방향) 잠원IC 진출램프</td>\n",
       "      <td>99</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.509701</td>\n",
       "      <td>127.015514</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>서울시설공단</td>\n",
       "      <td>02-2290-6363</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>6110000.0</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5060</td>\n",
       "      <td>73.0</td>\n",
       "      <td>01</td>\n",
       "      <td>강남구</td>\n",
       "      <td>헌릉로</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 세곡동 115-3</td>\n",
       "      <td>대왕파출소 앞</td>\n",
       "      <td>99</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.465301</td>\n",
       "      <td>127.108053</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>서울특별시 동부도로사업소</td>\n",
       "      <td>02-2040-0344</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>6110000.0</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12136</td>\n",
       "      <td>1.0</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>광평로20길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 일원동 734-2</td>\n",
       "      <td>대왕중학교 앞</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.483241</td>\n",
       "      <td>127.086698</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구청</td>\n",
       "      <td>02-3423-6565</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>3220000.0</td>\n",
       "      <td>서울특별시 강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12137</td>\n",
       "      <td>2.0</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>광평로20길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 일원동 734-2</td>\n",
       "      <td>대왕중학교 앞</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.483123</td>\n",
       "      <td>127.086745</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구청</td>\n",
       "      <td>02-3423-6565</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>3220000.0</td>\n",
       "      <td>서울특별시 강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12138</td>\n",
       "      <td>3.0</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>광평로20길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 일원동 734-2</td>\n",
       "      <td>남서울은혜교회 앞</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.482274</td>\n",
       "      <td>127.086876</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구청</td>\n",
       "      <td>02-3423-6565</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>3220000.0</td>\n",
       "      <td>서울특별시 강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>12139</td>\n",
       "      <td>4.0</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>광평로20길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 일원동 734-2</td>\n",
       "      <td>남서울은혜교회 앞</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.481931</td>\n",
       "      <td>127.086736</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구청</td>\n",
       "      <td>02-3423-6565</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>3220000.0</td>\n",
       "      <td>서울특별시 강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12140</td>\n",
       "      <td>5.0</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>광평로20길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 일원동 734-2</td>\n",
       "      <td>서울대모초등학교 앞</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.481689</td>\n",
       "      <td>127.086442</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구청</td>\n",
       "      <td>02-3423-6565</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>3220000.0</td>\n",
       "      <td>서울특별시 강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12141</td>\n",
       "      <td>6.0</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>광평로20길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구 일원동 734-3</td>\n",
       "      <td>서울로봇고등학교 앞</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.481477</td>\n",
       "      <td>127.085426</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 강남구청</td>\n",
       "      <td>02-3423-6565</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>3220000.0</td>\n",
       "      <td>서울특별시 강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>18595</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-1215</td>\n",
       "      <td>양지어린이집부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.463454</td>\n",
       "      <td>127.070686</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>18596</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-1215</td>\n",
       "      <td>양지어린이집부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.463348</td>\n",
       "      <td>127.070763</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>18597</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌릉로468길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-1074</td>\n",
       "      <td>교차로부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.461294</td>\n",
       "      <td>127.090053</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>18598</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-116</td>\n",
       "      <td>내곡동1-166번지밭출입구부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.462503</td>\n",
       "      <td>127.071321</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>18599</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-117</td>\n",
       "      <td>내곡동1-117번지 비닐하우스부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.462162</td>\n",
       "      <td>127.071446</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>18600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-121</td>\n",
       "      <td>교차로부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.461562</td>\n",
       "      <td>127.071751</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>18601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-131</td>\n",
       "      <td>교차로부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.460703</td>\n",
       "      <td>127.071526</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18602</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>사평대로53길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 반포동 719-24</td>\n",
       "      <td>교차로부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.507462</td>\n",
       "      <td>127.020515</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-157</td>\n",
       "      <td>대왕사 교차로 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.459966</td>\n",
       "      <td>127.071303</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>18604</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-165</td>\n",
       "      <td>대왕사 교차로 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.459700</td>\n",
       "      <td>127.071510</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>18605</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>사평대로53길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 반포동 719-1</td>\n",
       "      <td>반포동 719-1 빌라 정문</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.508066</td>\n",
       "      <td>127.020233</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>18606</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-2113</td>\n",
       "      <td>윗샘어린이공원 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.458277</td>\n",
       "      <td>127.071345</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>18607</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-2046</td>\n",
       "      <td>내곡동 1-2020빌라 입구</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.457916</td>\n",
       "      <td>127.071291</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>18608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을2길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-2125</td>\n",
       "      <td>대정생고기 정문</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.458018</td>\n",
       "      <td>127.071481</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>18609</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>샘마을2길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-2003</td>\n",
       "      <td>소림사 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.459367</td>\n",
       "      <td>127.073209</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>18610</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 163-1</td>\n",
       "      <td>회전교차로 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.454347</td>\n",
       "      <td>127.065334</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>18611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>능안말2길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 168-12</td>\n",
       "      <td>회전교차로 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.454525</td>\n",
       "      <td>127.065477</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>18612</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 154-2</td>\n",
       "      <td>내곡어린이집 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.453214</td>\n",
       "      <td>127.065188</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>18613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 95-1</td>\n",
       "      <td>내곡어린이집 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.453001</td>\n",
       "      <td>127.065383</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>18614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 94-2</td>\n",
       "      <td>내곡어린이집 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.452838</td>\n",
       "      <td>127.065609</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>18615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 86-4</td>\n",
       "      <td>교차로부근</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.451680</td>\n",
       "      <td>127.066121</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>18616</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 88-14</td>\n",
       "      <td>내곡동 88-14 주차장 입구</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.452008</td>\n",
       "      <td>127.066872</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>18617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>능안말1길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 170-3</td>\n",
       "      <td>내곡동 170-3 인접</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.455144</td>\n",
       "      <td>127.065832</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>18618</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>능안말1길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 171-17</td>\n",
       "      <td>내곡동 171-17 정문</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.455388</td>\n",
       "      <td>127.066610</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>18619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>능안말길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 5-6</td>\n",
       "      <td>미쉐린타이어 가인상사 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.455522</td>\n",
       "      <td>127.067447</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>18620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>능안말길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 6-50</td>\n",
       "      <td>교차로 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.455204</td>\n",
       "      <td>127.067582</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>18621</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-889</td>\n",
       "      <td>진영허브농원 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.465020</td>\n",
       "      <td>127.087422</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>18622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-909</td>\n",
       "      <td>트리스&amp;플라워 분재가든 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.464953</td>\n",
       "      <td>127.085990</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>18623</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-1589</td>\n",
       "      <td>아이데코 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.463490</td>\n",
       "      <td>127.084626</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>18624</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-1594</td>\n",
       "      <td>반포농원 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37.461840</td>\n",
       "      <td>127.082350</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>18625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌인릉길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-1594</td>\n",
       "      <td>횡단보도 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.461814</td>\n",
       "      <td>127.081942</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>18626</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>서초구</td>\n",
       "      <td>헌인릉길</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구 내곡동 1-310</td>\n",
       "      <td>횡단보도 부근</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>37.461458</td>\n",
       "      <td>127.081907</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>서울특별시 서초구청</td>\n",
       "      <td>02-2155-6991</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>3210000.0</td>\n",
       "      <td>서울특별시 서초구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>42 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0  과속방지턱관리번호    시도명 시군구명      도로명  소재지도로명주소  \\\n",
       "0         1391       21.0     01  서초구   경부고속도로       NaN   \n",
       "1         1392       20.0     01  서초구   경부고속도로       NaN   \n",
       "2         1393       19.0     01  서초구   경부고속도로       NaN   \n",
       "3         5060       73.0     01  강남구      헌릉로       NaN   \n",
       "4        12136        1.0  서울특별시  강남구   광평로20길       NaN   \n",
       "5        12137        2.0  서울특별시  강남구   광평로20길       NaN   \n",
       "6        12138        3.0  서울특별시  강남구   광평로20길       NaN   \n",
       "7        12139        4.0  서울특별시  강남구   광평로20길       NaN   \n",
       "8        12140        5.0  서울특별시  강남구   광평로20길       NaN   \n",
       "9        12141        6.0  서울특별시  강남구   광평로20길       NaN   \n",
       "10       18595        NaN     01  서초구     샘마을길       NaN   \n",
       "11       18596        NaN     01  서초구     샘마을길       NaN   \n",
       "12       18597        NaN     01  서초구  헌릉로468길       NaN   \n",
       "13       18598        NaN     01  서초구     샘마을길       NaN   \n",
       "14       18599        NaN     01  서초구     샘마을길       NaN   \n",
       "15       18600        NaN     01  서초구     샘마을길       NaN   \n",
       "16       18601        NaN     01  서초구     샘마을길       NaN   \n",
       "17       18602        NaN     01  서초구  사평대로53길       NaN   \n",
       "18       18603        NaN     01  서초구     샘마을길       NaN   \n",
       "19       18604        NaN     01  서초구     샘마을길       NaN   \n",
       "20       18605        NaN     01  서초구  사평대로53길       NaN   \n",
       "21       18606        NaN     01  서초구     샘마을길       NaN   \n",
       "22       18607        NaN     01  서초구     샘마을길       NaN   \n",
       "23       18608        NaN     01  서초구    샘마을2길       NaN   \n",
       "24       18609        NaN     01  서초구    샘마을2길       NaN   \n",
       "25       18610        NaN     01  서초구    홍씨마을길       NaN   \n",
       "26       18611        NaN     01  서초구    능안말2길       NaN   \n",
       "27       18612        NaN     01  서초구    홍씨마을길       NaN   \n",
       "28       18613        NaN     01  서초구    홍씨마을길       NaN   \n",
       "29       18614        NaN     01  서초구    홍씨마을길       NaN   \n",
       "30       18615        NaN     01  서초구    홍씨마을길       NaN   \n",
       "31       18616        NaN     01  서초구    홍씨마을길       NaN   \n",
       "32       18617        NaN     01  서초구    능안말1길       NaN   \n",
       "33       18618        NaN     01  서초구    능안말1길       NaN   \n",
       "34       18619        NaN     01  서초구     능안말길       NaN   \n",
       "35       18620        NaN     01  서초구     능안말길       NaN   \n",
       "36       18621        NaN     01  서초구    헌인릉1길       NaN   \n",
       "37       18622        NaN     01  서초구    헌인릉1길       NaN   \n",
       "38       18623        NaN     01  서초구    헌인릉1길       NaN   \n",
       "39       18624        NaN     01  서초구    헌인릉1길       NaN   \n",
       "40       18625        NaN     01  서초구     헌인릉길       NaN   \n",
       "41       18626        NaN     01  서초구     헌인릉길       NaN   \n",
       "\n",
       "                  소재지지번주소                    설치장소  과속방지턱재료  과속방지턱형태구분  ...  \\\n",
       "0   서울특별시 서초구 서초동 1301-11  경부고속도로(서울방향) 반포IC 진출램프       99          3  ...   \n",
       "1        서울특별시 서초구 잠원동 86  경부고속도로(부산방향) 잠원IC 진출램프       99          3  ...   \n",
       "2        서울특별시 서초구 잠원동 86  경부고속도로(부산방향) 잠원IC 진출램프       99          3  ...   \n",
       "3     서울특별시 강남구 세곡동 115-3                 대왕파출소 앞       99          3  ...   \n",
       "4     서울특별시 강남구 일원동 734-2                 대왕중학교 앞        1          1  ...   \n",
       "5     서울특별시 강남구 일원동 734-2                 대왕중학교 앞        1          1  ...   \n",
       "6     서울특별시 강남구 일원동 734-2               남서울은혜교회 앞        1          1  ...   \n",
       "7     서울특별시 강남구 일원동 734-2               남서울은혜교회 앞        1          1  ...   \n",
       "8     서울특별시 강남구 일원동 734-2              서울대모초등학교 앞        1          1  ...   \n",
       "9     서울특별시 강남구 일원동 734-3              서울로봇고등학교 앞        1          1  ...   \n",
       "10   서울특별시 서초구 내곡동 1-1215                양지어린이집부근        1          1  ...   \n",
       "11   서울특별시 서초구 내곡동 1-1215                양지어린이집부근        1          1  ...   \n",
       "12   서울특별시 서초구 내곡동 1-1074                   교차로부근        1          1  ...   \n",
       "13    서울특별시 서초구 내곡동 1-116        내곡동1-166번지밭출입구부근        1          1  ...   \n",
       "14    서울특별시 서초구 내곡동 1-117      내곡동1-117번지 비닐하우스부근        1          1  ...   \n",
       "15    서울특별시 서초구 내곡동 1-121                   교차로부근        1          1  ...   \n",
       "16    서울특별시 서초구 내곡동 1-131                   교차로부근        1          1  ...   \n",
       "17   서울특별시 서초구 반포동 719-24                   교차로부근        1          1  ...   \n",
       "18    서울특별시 서초구 내곡동 1-157              대왕사 교차로 부근        1          1  ...   \n",
       "19    서울특별시 서초구 내곡동 1-165              대왕사 교차로 부근        1          1  ...   \n",
       "20    서울특별시 서초구 반포동 719-1         반포동 719-1 빌라 정문        1          1  ...   \n",
       "21   서울특별시 서초구 내곡동 1-2113              윗샘어린이공원 부근        1          1  ...   \n",
       "22   서울특별시 서초구 내곡동 1-2046         내곡동 1-2020빌라 입구        1          1  ...   \n",
       "23   서울특별시 서초구 내곡동 1-2125                대정생고기 정문        1          1  ...   \n",
       "24   서울특별시 서초구 내곡동 1-2003                  소림사 부근        1          1  ...   \n",
       "25    서울특별시 서초구 내곡동 163-1                회전교차로 부근        1          1  ...   \n",
       "26   서울특별시 서초구 내곡동 168-12                회전교차로 부근        1          1  ...   \n",
       "27    서울특별시 서초구 내곡동 154-2               내곡어린이집 부근        1          1  ...   \n",
       "28     서울특별시 서초구 내곡동 95-1               내곡어린이집 부근        1          1  ...   \n",
       "29     서울특별시 서초구 내곡동 94-2               내곡어린이집 부근        1          1  ...   \n",
       "30     서울특별시 서초구 내곡동 86-4                   교차로부근        1          3  ...   \n",
       "31    서울특별시 서초구 내곡동 88-14        내곡동 88-14 주차장 입구        1          1  ...   \n",
       "32    서울특별시 서초구 내곡동 170-3            내곡동 170-3 인접        1          1  ...   \n",
       "33   서울특별시 서초구 내곡동 171-17           내곡동 171-17 정문        1          1  ...   \n",
       "34      서울특별시 서초구 내곡동 5-6          미쉐린타이어 가인상사 부근        1          1  ...   \n",
       "35     서울특별시 서초구 내곡동 6-50                  교차로 부근        1          1  ...   \n",
       "36    서울특별시 서초구 내곡동 1-889               진영허브농원 부근        1          1  ...   \n",
       "37    서울특별시 서초구 내곡동 1-909         트리스&플라워 분재가든 부근        1          1  ...   \n",
       "38   서울특별시 서초구 내곡동 1-1589                 아이데코 부근        1          1  ...   \n",
       "39   서울특별시 서초구 내곡동 1-1594                 반포농원 부근        1          1  ...   \n",
       "40   서울특별시 서초구 내곡동 1-1594                 횡단보도 부근        1          3  ...   \n",
       "41    서울특별시 서초구 내곡동 1-310                 횡단보도 부근        1          3  ...   \n",
       "\n",
       "           위도          경도  보차분리여부  연속형여부 과속방지턱설치년도          관리기관명  \\\n",
       "0   37.501648  127.019357       N      N    2006.0         서울시설공단   \n",
       "1   37.509701  127.015514       N      Y       NaN         서울시설공단   \n",
       "2   37.509701  127.015514       N      Y    2006.0         서울시설공단   \n",
       "3   37.465301  127.108053       Y      N    2015.0  서울특별시 동부도로사업소   \n",
       "4   37.483241  127.086698       Y      Y       NaN     서울특별시 강남구청   \n",
       "5   37.483123  127.086745       Y      Y       NaN     서울특별시 강남구청   \n",
       "6   37.482274  127.086876       Y      Y       NaN     서울특별시 강남구청   \n",
       "7   37.481931  127.086736       Y      Y       NaN     서울특별시 강남구청   \n",
       "8   37.481689  127.086442       Y      Y       NaN     서울특별시 강남구청   \n",
       "9   37.481477  127.085426       Y      Y       NaN     서울특별시 강남구청   \n",
       "10  37.463454  127.070686       N      Y       NaN      서울특별시서초구청   \n",
       "11  37.463348  127.070763       N      Y       NaN      서울특별시서초구청   \n",
       "12  37.461294  127.090053       N      N       NaN      서울특별시서초구청   \n",
       "13  37.462503  127.071321       N      Y       NaN      서울특별시서초구청   \n",
       "14  37.462162  127.071446       N      Y       NaN      서울특별시서초구청   \n",
       "15  37.461562  127.071751       N      N       NaN      서울특별시서초구청   \n",
       "16  37.460703  127.071526       N      N       NaN      서울특별시서초구청   \n",
       "17  37.507462  127.020515       N      N       NaN     서울특별시 서초구청   \n",
       "18  37.459966  127.071303       N      Y       NaN     서울특별시 서초구청   \n",
       "19  37.459700  127.071510       N      Y       NaN     서울특별시 서초구청   \n",
       "20  37.508066  127.020233       N      N       NaN     서울특별시 서초구청   \n",
       "21  37.458277  127.071345       N      Y       NaN     서울특별시 서초구청   \n",
       "22  37.457916  127.071291       N      Y       NaN     서울특별시 서초구청   \n",
       "23  37.458018  127.071481       N      N       NaN     서울특별시 서초구청   \n",
       "24  37.459367  127.073209       N      N       NaN     서울특별시 서초구청   \n",
       "25  37.454347  127.065334       N      N       NaN     서울특별시 서초구청   \n",
       "26  37.454525  127.065477       N      N       NaN     서울특별시 서초구청   \n",
       "27  37.453214  127.065188       N      Y       NaN     서울특별시 서초구청   \n",
       "28  37.453001  127.065383       N      Y       NaN     서울특별시 서초구청   \n",
       "29  37.452838  127.065609       N      Y       NaN     서울특별시 서초구청   \n",
       "30  37.451680  127.066121       N      Y       NaN     서울특별시 서초구청   \n",
       "31  37.452008  127.066872       N      Y       NaN     서울특별시 서초구청   \n",
       "32  37.455144  127.065832       N      N       NaN     서울특별시 서초구청   \n",
       "33  37.455388  127.066610       N      N       NaN     서울특별시 서초구청   \n",
       "34  37.455522  127.067447       N      Y       NaN     서울특별시 서초구청   \n",
       "35  37.455204  127.067582       N      Y       NaN     서울특별시 서초구청   \n",
       "36  37.465020  127.087422       N      N       NaN     서울특별시 서초구청   \n",
       "37  37.464953  127.085990       N      N       NaN     서울특별시 서초구청   \n",
       "38  37.463490  127.084626       N      N       NaN     서울특별시 서초구청   \n",
       "39  37.461840  127.082350       N      N       NaN     서울특별시 서초구청   \n",
       "40  37.461814  127.081942       Y      Y       NaN     서울특별시 서초구청   \n",
       "41  37.461458  127.081907       Y      Y       NaN     서울특별시 서초구청   \n",
       "\n",
       "        관리기관전화번호     데이터기준일자     제공기관코드      제공기관명  \n",
       "0   02-2290-6363  2019-06-19  6110000.0      서울특별시  \n",
       "1   02-2290-6363  2019-06-19  6110000.0      서울특별시  \n",
       "2   02-2290-6363  2019-06-19  6110000.0      서울특별시  \n",
       "3   02-2040-0344  2019-06-19  6110000.0      서울특별시  \n",
       "4   02-3423-6565  2020-09-01  3220000.0  서울특별시 강남구  \n",
       "5   02-3423-6565  2020-09-01  3220000.0  서울특별시 강남구  \n",
       "6   02-3423-6565  2020-09-01  3220000.0  서울특별시 강남구  \n",
       "7   02-3423-6565  2020-09-01  3220000.0  서울특별시 강남구  \n",
       "8   02-3423-6565  2020-09-01  3220000.0  서울특별시 강남구  \n",
       "9   02-3423-6565  2020-09-01  3220000.0  서울특별시 강남구  \n",
       "10  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "11  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "12  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "13  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "14  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "15  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "16  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "17  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "18  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "19  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "20  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "21  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "22  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "23  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "24  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "25  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "26  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "27  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "28  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "29  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "30  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "31  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "32  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "33  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "34  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "35  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "36  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "37  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "38  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "39  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "40  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "41  02-2155-6991  2019-06-11  3210000.0  서울특별시 서초구  \n",
       "\n",
       "[42 rows x 25 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/서초강남과속방지턱.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"도로명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>도로명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>37.501648</td>\n",
       "      <td>127.019357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>37.509701</td>\n",
       "      <td>127.015514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>37.509701</td>\n",
       "      <td>127.015514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>헌릉로</td>\n",
       "      <td>37.465301</td>\n",
       "      <td>127.108053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.483241</td>\n",
       "      <td>127.086698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.483123</td>\n",
       "      <td>127.086745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.482274</td>\n",
       "      <td>127.086876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.481931</td>\n",
       "      <td>127.086736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.481689</td>\n",
       "      <td>127.086442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.481477</td>\n",
       "      <td>127.085426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.463454</td>\n",
       "      <td>127.070686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.463348</td>\n",
       "      <td>127.070763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>헌릉로468길</td>\n",
       "      <td>37.461294</td>\n",
       "      <td>127.090053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.462503</td>\n",
       "      <td>127.071321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.462162</td>\n",
       "      <td>127.071446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.461562</td>\n",
       "      <td>127.071751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.460703</td>\n",
       "      <td>127.071526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>사평대로53길</td>\n",
       "      <td>37.507462</td>\n",
       "      <td>127.020515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.459966</td>\n",
       "      <td>127.071303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.459700</td>\n",
       "      <td>127.071510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>사평대로53길</td>\n",
       "      <td>37.508066</td>\n",
       "      <td>127.020233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.458277</td>\n",
       "      <td>127.071345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.457916</td>\n",
       "      <td>127.071291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>샘마을2길</td>\n",
       "      <td>37.458018</td>\n",
       "      <td>127.071481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>샘마을2길</td>\n",
       "      <td>37.459367</td>\n",
       "      <td>127.073209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.454347</td>\n",
       "      <td>127.065334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>능안말2길</td>\n",
       "      <td>37.454525</td>\n",
       "      <td>127.065477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.453214</td>\n",
       "      <td>127.065188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.453001</td>\n",
       "      <td>127.065383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.452838</td>\n",
       "      <td>127.065609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.451680</td>\n",
       "      <td>127.066121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.452008</td>\n",
       "      <td>127.066872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>능안말1길</td>\n",
       "      <td>37.455144</td>\n",
       "      <td>127.065832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>능안말1길</td>\n",
       "      <td>37.455388</td>\n",
       "      <td>127.066610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>능안말길</td>\n",
       "      <td>37.455522</td>\n",
       "      <td>127.067447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>능안말길</td>\n",
       "      <td>37.455204</td>\n",
       "      <td>127.067582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.465020</td>\n",
       "      <td>127.087422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.464953</td>\n",
       "      <td>127.085990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.463490</td>\n",
       "      <td>127.084626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.461840</td>\n",
       "      <td>127.082350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>헌인릉길</td>\n",
       "      <td>37.461814</td>\n",
       "      <td>127.081942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>헌인릉길</td>\n",
       "      <td>37.461458</td>\n",
       "      <td>127.081907</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        도로명         위도          경도\n",
       "0    경부고속도로  37.501648  127.019357\n",
       "1    경부고속도로  37.509701  127.015514\n",
       "2    경부고속도로  37.509701  127.015514\n",
       "3       헌릉로  37.465301  127.108053\n",
       "4    광평로20길  37.483241  127.086698\n",
       "5    광평로20길  37.483123  127.086745\n",
       "6    광평로20길  37.482274  127.086876\n",
       "7    광평로20길  37.481931  127.086736\n",
       "8    광평로20길  37.481689  127.086442\n",
       "9    광평로20길  37.481477  127.085426\n",
       "10     샘마을길  37.463454  127.070686\n",
       "11     샘마을길  37.463348  127.070763\n",
       "12  헌릉로468길  37.461294  127.090053\n",
       "13     샘마을길  37.462503  127.071321\n",
       "14     샘마을길  37.462162  127.071446\n",
       "15     샘마을길  37.461562  127.071751\n",
       "16     샘마을길  37.460703  127.071526\n",
       "17  사평대로53길  37.507462  127.020515\n",
       "18     샘마을길  37.459966  127.071303\n",
       "19     샘마을길  37.459700  127.071510\n",
       "20  사평대로53길  37.508066  127.020233\n",
       "21     샘마을길  37.458277  127.071345\n",
       "22     샘마을길  37.457916  127.071291\n",
       "23    샘마을2길  37.458018  127.071481\n",
       "24    샘마을2길  37.459367  127.073209\n",
       "25    홍씨마을길  37.454347  127.065334\n",
       "26    능안말2길  37.454525  127.065477\n",
       "27    홍씨마을길  37.453214  127.065188\n",
       "28    홍씨마을길  37.453001  127.065383\n",
       "29    홍씨마을길  37.452838  127.065609\n",
       "30    홍씨마을길  37.451680  127.066121\n",
       "31    홍씨마을길  37.452008  127.066872\n",
       "32    능안말1길  37.455144  127.065832\n",
       "33    능안말1길  37.455388  127.066610\n",
       "34     능안말길  37.455522  127.067447\n",
       "35     능안말길  37.455204  127.067582\n",
       "36    헌인릉1길  37.465020  127.087422\n",
       "37    헌인릉1길  37.464953  127.085990\n",
       "38    헌인릉1길  37.463490  127.084626\n",
       "39    헌인릉1길  37.461840  127.082350\n",
       "40     헌인릉길  37.461814  127.081942\n",
       "41     헌인릉길  37.461458  127.081907"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-6-9f078b38371f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['sub_cnt']=1\n",
      "<ipython-input-6-9f078b38371f>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-6-9f078b38371f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-6-9f078b38371f>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['sub_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>도로명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>sub_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>37.501648</td>\n",
       "      <td>127.019357</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01936 37.50165)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>37.509701</td>\n",
       "      <td>127.015514</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01551 37.50970)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>경부고속도로</td>\n",
       "      <td>37.509701</td>\n",
       "      <td>127.015514</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01551 37.50970)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>헌릉로</td>\n",
       "      <td>37.465301</td>\n",
       "      <td>127.108053</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10805 37.46530)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.483241</td>\n",
       "      <td>127.086698</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08670 37.48324)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.483123</td>\n",
       "      <td>127.086745</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08675 37.48312)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.482274</td>\n",
       "      <td>127.086876</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08688 37.48227)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.481931</td>\n",
       "      <td>127.086736</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08674 37.48193)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.481689</td>\n",
       "      <td>127.086442</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08644 37.48169)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>광평로20길</td>\n",
       "      <td>37.481477</td>\n",
       "      <td>127.085426</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08543 37.48148)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.463454</td>\n",
       "      <td>127.070686</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07069 37.46345)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.463348</td>\n",
       "      <td>127.070763</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07076 37.46335)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>헌릉로468길</td>\n",
       "      <td>37.461294</td>\n",
       "      <td>127.090053</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.09005 37.46129)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.462503</td>\n",
       "      <td>127.071321</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07132 37.46250)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.462162</td>\n",
       "      <td>127.071446</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07145 37.46216)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.461562</td>\n",
       "      <td>127.071751</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07175 37.46156)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.460703</td>\n",
       "      <td>127.071526</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07153 37.46070)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>사평대로53길</td>\n",
       "      <td>37.507462</td>\n",
       "      <td>127.020515</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02051 37.50746)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.459966</td>\n",
       "      <td>127.071303</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07130 37.45997)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.459700</td>\n",
       "      <td>127.071510</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07151 37.45970)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>사평대로53길</td>\n",
       "      <td>37.508066</td>\n",
       "      <td>127.020233</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02023 37.50807)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.458277</td>\n",
       "      <td>127.071345</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07134 37.45828)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>샘마을길</td>\n",
       "      <td>37.457916</td>\n",
       "      <td>127.071291</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07129 37.45792)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>샘마을2길</td>\n",
       "      <td>37.458018</td>\n",
       "      <td>127.071481</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07148 37.45802)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>샘마을2길</td>\n",
       "      <td>37.459367</td>\n",
       "      <td>127.073209</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07321 37.45937)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.454347</td>\n",
       "      <td>127.065334</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06533 37.45435)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>능안말2길</td>\n",
       "      <td>37.454525</td>\n",
       "      <td>127.065477</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06548 37.45452)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.453214</td>\n",
       "      <td>127.065188</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06519 37.45321)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.453001</td>\n",
       "      <td>127.065383</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06538 37.45300)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.452838</td>\n",
       "      <td>127.065609</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06561 37.45284)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.451680</td>\n",
       "      <td>127.066121</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06612 37.45168)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>홍씨마을길</td>\n",
       "      <td>37.452008</td>\n",
       "      <td>127.066872</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06687 37.45201)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>능안말1길</td>\n",
       "      <td>37.455144</td>\n",
       "      <td>127.065832</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06583 37.45514)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>능안말1길</td>\n",
       "      <td>37.455388</td>\n",
       "      <td>127.066610</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06661 37.45539)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>능안말길</td>\n",
       "      <td>37.455522</td>\n",
       "      <td>127.067447</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06745 37.45552)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>능안말길</td>\n",
       "      <td>37.455204</td>\n",
       "      <td>127.067582</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06758 37.45520)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.465020</td>\n",
       "      <td>127.087422</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08742 37.46502)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.464953</td>\n",
       "      <td>127.085990</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08599 37.46495)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.463490</td>\n",
       "      <td>127.084626</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08463 37.46349)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>헌인릉1길</td>\n",
       "      <td>37.461840</td>\n",
       "      <td>127.082350</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08235 37.46184)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>헌인릉길</td>\n",
       "      <td>37.461814</td>\n",
       "      <td>127.081942</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08194 37.46181)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>헌인릉길</td>\n",
       "      <td>37.461458</td>\n",
       "      <td>127.081907</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08191 37.46146)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        도로명         위도          경도  sub_cnt                       point\n",
       "0    경부고속도로  37.501648  127.019357        1  POINT (127.01936 37.50165)\n",
       "1    경부고속도로  37.509701  127.015514        1  POINT (127.01551 37.50970)\n",
       "2    경부고속도로  37.509701  127.015514        1  POINT (127.01551 37.50970)\n",
       "3       헌릉로  37.465301  127.108053        1  POINT (127.10805 37.46530)\n",
       "4    광평로20길  37.483241  127.086698        1  POINT (127.08670 37.48324)\n",
       "5    광평로20길  37.483123  127.086745        1  POINT (127.08675 37.48312)\n",
       "6    광평로20길  37.482274  127.086876        1  POINT (127.08688 37.48227)\n",
       "7    광평로20길  37.481931  127.086736        1  POINT (127.08674 37.48193)\n",
       "8    광평로20길  37.481689  127.086442        1  POINT (127.08644 37.48169)\n",
       "9    광평로20길  37.481477  127.085426        1  POINT (127.08543 37.48148)\n",
       "10     샘마을길  37.463454  127.070686        1  POINT (127.07069 37.46345)\n",
       "11     샘마을길  37.463348  127.070763        1  POINT (127.07076 37.46335)\n",
       "12  헌릉로468길  37.461294  127.090053        1  POINT (127.09005 37.46129)\n",
       "13     샘마을길  37.462503  127.071321        1  POINT (127.07132 37.46250)\n",
       "14     샘마을길  37.462162  127.071446        1  POINT (127.07145 37.46216)\n",
       "15     샘마을길  37.461562  127.071751        1  POINT (127.07175 37.46156)\n",
       "16     샘마을길  37.460703  127.071526        1  POINT (127.07153 37.46070)\n",
       "17  사평대로53길  37.507462  127.020515        1  POINT (127.02051 37.50746)\n",
       "18     샘마을길  37.459966  127.071303        1  POINT (127.07130 37.45997)\n",
       "19     샘마을길  37.459700  127.071510        1  POINT (127.07151 37.45970)\n",
       "20  사평대로53길  37.508066  127.020233        1  POINT (127.02023 37.50807)\n",
       "21     샘마을길  37.458277  127.071345        1  POINT (127.07134 37.45828)\n",
       "22     샘마을길  37.457916  127.071291        1  POINT (127.07129 37.45792)\n",
       "23    샘마을2길  37.458018  127.071481        1  POINT (127.07148 37.45802)\n",
       "24    샘마을2길  37.459367  127.073209        1  POINT (127.07321 37.45937)\n",
       "25    홍씨마을길  37.454347  127.065334        1  POINT (127.06533 37.45435)\n",
       "26    능안말2길  37.454525  127.065477        1  POINT (127.06548 37.45452)\n",
       "27    홍씨마을길  37.453214  127.065188        1  POINT (127.06519 37.45321)\n",
       "28    홍씨마을길  37.453001  127.065383        1  POINT (127.06538 37.45300)\n",
       "29    홍씨마을길  37.452838  127.065609        1  POINT (127.06561 37.45284)\n",
       "30    홍씨마을길  37.451680  127.066121        1  POINT (127.06612 37.45168)\n",
       "31    홍씨마을길  37.452008  127.066872        1  POINT (127.06687 37.45201)\n",
       "32    능안말1길  37.455144  127.065832        1  POINT (127.06583 37.45514)\n",
       "33    능안말1길  37.455388  127.066610        1  POINT (127.06661 37.45539)\n",
       "34     능안말길  37.455522  127.067447        1  POINT (127.06745 37.45552)\n",
       "35     능안말길  37.455204  127.067582        1  POINT (127.06758 37.45520)\n",
       "36    헌인릉1길  37.465020  127.087422        1  POINT (127.08742 37.46502)\n",
       "37    헌인릉1길  37.464953  127.085990        1  POINT (127.08599 37.46495)\n",
       "38    헌인릉1길  37.463490  127.084626        1  POINT (127.08463 37.46349)\n",
       "39    헌인릉1길  37.461840  127.082350        1  POINT (127.08235 37.46184)\n",
       "40     헌인릉길  37.461814  127.081942        1  POINT (127.08194 37.46181)\n",
       "41     헌인릉길  37.461458  127.081907        1  POINT (127.08191 37.46146)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 42/42 [00:05<00:00,  8.23it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사571457</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사575448</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사575455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사576454</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사615393</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>다사615394</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>다사615395</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>다사616392</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>다사616396</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>다사617396</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>다사620399</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>다사620401</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>다사620404</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>다사620405</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>다사621399</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>다사621401</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>다사621402</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>다사621403</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>다사621404</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>다사622401</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>다사630403</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>다사632405</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>다사633407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>다사633425</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>다사634425</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>다사634426</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>다사634427</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>다사635407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>다사637403</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>다사653407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gid  TL_cnt\n",
       "0   다사571457       2\n",
       "1   다사575448       1\n",
       "2   다사575455       1\n",
       "3   다사576454       1\n",
       "4   다사615393       1\n",
       "5   다사615394       2\n",
       "6   다사615395       2\n",
       "7   다사616392       2\n",
       "8   다사616396       2\n",
       "9   다사617396       2\n",
       "10  다사620399       2\n",
       "11  다사620401       1\n",
       "12  다사620404       1\n",
       "13  다사620405       2\n",
       "14  다사621399       1\n",
       "15  다사621401       1\n",
       "16  다사621402       1\n",
       "17  다사621403       1\n",
       "18  다사621404       1\n",
       "19  다사622401       1\n",
       "20  다사630403       3\n",
       "21  다사632405       1\n",
       "22  다사633407       1\n",
       "23  다사633425       1\n",
       "24  다사634425       1\n",
       "25  다사634426       2\n",
       "26  다사634427       2\n",
       "27  다사635407       1\n",
       "28  다사637403       1\n",
       "29  다사653407       1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남과속방지턱전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 서초 강남 사고 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
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       "      <td>2017년 3월 24일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.482441794881645</td>\n",
       "      <td>127.03594277561041</td>\n",
       "      <td>서울특별시 서초구 양재동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
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       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>28세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2017042300100461</td>\n",
       "      <td>2017년 4월 23일 20시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.47409693517618</td>\n",
       "      <td>126.992761936558</td>\n",
       "      <td>서울특별시 서초구 방배동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>74세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>55세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>2017052500100328</td>\n",
       "      <td>2017년 5월 25일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>37.493402432997534</td>\n",
       "      <td>127.01601773561951</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>20세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>63세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>2017062800100470</td>\n",
       "      <td>2017년 6월 28일 19시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.51066450830801</td>\n",
       "      <td>127.069254621366</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>20세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>자전거</td>\n",
       "      <td>남</td>\n",
       "      <td>61세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>37</td>\n",
       "      <td>2018042000100032</td>\n",
       "      <td>2018년 4월 20일 02시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.50027533962582</td>\n",
       "      <td>127.0621995169631</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>흐림</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>35세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>63</td>\n",
       "      <td>2018091700100054</td>\n",
       "      <td>2018년 9월 17일 06시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.48947164056322</td>\n",
       "      <td>126.98292869107078</td>\n",
       "      <td>서울특별시 서초구 방배동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>경상</td>\n",
       "      <td>화물</td>\n",
       "      <td>남</td>\n",
       "      <td>54세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>72</td>\n",
       "      <td>2018113000100116</td>\n",
       "      <td>2018년 11월 30일 08시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.4878426967116</td>\n",
       "      <td>127.10243126911546</td>\n",
       "      <td>서울특별시 강남구 수서동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>76</td>\n",
       "      <td>2018121100100493</td>\n",
       "      <td>2018년 12월 11일 19시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.52282209699904</td>\n",
       "      <td>127.01872203181729</td>\n",
       "      <td>서울특별시 강남구 압구정동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>42세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>83</td>\n",
       "      <td>2019021200100506</td>\n",
       "      <td>2019년 2월 12일 22시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.50641397668101</td>\n",
       "      <td>127.02342851902121</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>29세</td>\n",
       "      <td>중상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>31세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>84</td>\n",
       "      <td>2019031300100215</td>\n",
       "      <td>2019년 3월 13일 11시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.48918508906506</td>\n",
       "      <td>127.02012987685616</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>26세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>94</td>\n",
       "      <td>2019052200100543</td>\n",
       "      <td>2019년 5월 22일 18시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.498708188524304</td>\n",
       "      <td>127.06105037736828</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>18세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>37세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>95</td>\n",
       "      <td>2019052400100624</td>\n",
       "      <td>2019년 5월 24일 19시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.52283235730633</td>\n",
       "      <td>127.03345644478476</td>\n",
       "      <td>서울특별시 강남구 신사동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>4세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>98</td>\n",
       "      <td>2019061200100497</td>\n",
       "      <td>2019년 6월 12일 19시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.50976198843031</td>\n",
       "      <td>127.03780512741054</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>30세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>65세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>99</td>\n",
       "      <td>2019061300100224</td>\n",
       "      <td>2019년 6월 13일 11시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>37.51932069081384</td>\n",
       "      <td>127.04066054231818</td>\n",
       "      <td>서울특별시 강남구 청담동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>30세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>37세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>101</td>\n",
       "      <td>2019061700100365</td>\n",
       "      <td>2019년 6월 17일 15시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.50927536856135</td>\n",
       "      <td>127.05517194028577</td>\n",
       "      <td>서울특별시 강남구 삼성동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>66세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>105</td>\n",
       "      <td>2019062600100466</td>\n",
       "      <td>2019년 6월 26일 17시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.495867025943156</td>\n",
       "      <td>127.013284471082</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>106</td>\n",
       "      <td>2019070100100311</td>\n",
       "      <td>2019년 7월 1일 13시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.50854627659799</td>\n",
       "      <td>127.03573473841728</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>20세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>35세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>108</td>\n",
       "      <td>2019070900100638</td>\n",
       "      <td>2019년 7월 9일 23시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.48336610564005</td>\n",
       "      <td>127.02400077620429</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>26세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>109</td>\n",
       "      <td>2019071100100428</td>\n",
       "      <td>2019년 7월 11일 17시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>37.5071077027065</td>\n",
       "      <td>127.05675374954765</td>\n",
       "      <td>서울특별시 강남구 삼성동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>24세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>110</td>\n",
       "      <td>2019071200100424</td>\n",
       "      <td>2019년 7월 12일 16시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.495046560161484</td>\n",
       "      <td>127.0175022899771</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>23세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>112</td>\n",
       "      <td>2019071400100342</td>\n",
       "      <td>2019년 7월 14일 17시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.50589479380786</td>\n",
       "      <td>127.05891301264784</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>18세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>56세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>113</td>\n",
       "      <td>2019071700100479</td>\n",
       "      <td>2019년 7월 17일 18시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.50030204322641</td>\n",
       "      <td>127.03584672652138</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>31세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>27세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>119</td>\n",
       "      <td>2019080500100586</td>\n",
       "      <td>2019년 8월 5일 20시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.52552119614824</td>\n",
       "      <td>127.01447474487803</td>\n",
       "      <td>서울특별시 강남구 압구정동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 교량</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>27세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>124</td>\n",
       "      <td>2019081300100148</td>\n",
       "      <td>2019년 8월 13일 09시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.516420293985156</td>\n",
       "      <td>127.01980067484989</td>\n",
       "      <td>서울특별시 강남구 신사동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로횡단보도내</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>27세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>64세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>129</td>\n",
       "      <td>2019081800100193</td>\n",
       "      <td>2019년 8월 18일 13시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.502405512897404</td>\n",
       "      <td>127.03707479383041</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>29세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>70세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>134</td>\n",
       "      <td>2019082500100455</td>\n",
       "      <td>2019년 8월 25일 20시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.506554321849165</td>\n",
       "      <td>127.0380834310485</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>30세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>35세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>136</td>\n",
       "      <td>2019090100100215</td>\n",
       "      <td>2019년 9월 1일 13시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.4889954652109</td>\n",
       "      <td>127.03216927645632</td>\n",
       "      <td>서울특별시 강남구 도곡동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>28세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>26세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>138</td>\n",
       "      <td>2019090200100439</td>\n",
       "      <td>2019년 9월 2일 16시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.50399440332843</td>\n",
       "      <td>127.01025212030653</td>\n",
       "      <td>서울특별시 서초구 반포동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>13세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>61세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>141</td>\n",
       "      <td>2019090300100223</td>\n",
       "      <td>2019년 9월 3일 11시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.5235199956527</td>\n",
       "      <td>127.020973395936</td>\n",
       "      <td>서울특별시 강남구 압구정동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>14세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>45세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>142</td>\n",
       "      <td>2019090900100179</td>\n",
       "      <td>2019년 9월 9일 09시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.502729775537155</td>\n",
       "      <td>127.04393408896325</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>26세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>143</td>\n",
       "      <td>2019091000100204</td>\n",
       "      <td>2019년 9월 10일 09시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.514475664834386</td>\n",
       "      <td>127.033056823879</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>19세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>41세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>144</td>\n",
       "      <td>2019091400100090</td>\n",
       "      <td>2019년 9월 14일 10시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>37.4942823894887</td>\n",
       "      <td>127.02098500638718</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>24세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>57세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>149</td>\n",
       "      <td>2019092300100371</td>\n",
       "      <td>2019년 9월 23일 15시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.5084347920133</td>\n",
       "      <td>127.02180047684621</td>\n",
       "      <td>서울특별시 서초구 반포동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>150</td>\n",
       "      <td>2019092300100491</td>\n",
       "      <td>2019년 9월 23일 18시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.499720828854414</td>\n",
       "      <td>127.06293979115537</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>21세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>10세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>155</td>\n",
       "      <td>2019100100100173</td>\n",
       "      <td>2019년 10월 1일 09시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.495872456441546</td>\n",
       "      <td>127.0394265255887</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로횡단보도내</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>44세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>30세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>156</td>\n",
       "      <td>2019100400100538</td>\n",
       "      <td>2019년 10월 4일 18시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.50118686452256</td>\n",
       "      <td>127.03719576452939</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>19세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>37세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>157</td>\n",
       "      <td>2019100500100300</td>\n",
       "      <td>2019년 10월 5일 14시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>37.51986111243381</td>\n",
       "      <td>127.05737708129816</td>\n",
       "      <td>서울특별시 강남구 삼성동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로횡단보도내</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>32세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>56세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>158</td>\n",
       "      <td>2019100800100026</td>\n",
       "      <td>2019년 10월 8일 00시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.50169666753196</td>\n",
       "      <td>127.02603381967535</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>24세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>161</td>\n",
       "      <td>2019101300100169</td>\n",
       "      <td>2019년 10월 13일 11시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.48528887109066</td>\n",
       "      <td>127.01592272260876</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>14세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>61세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>164</td>\n",
       "      <td>2019101500100505</td>\n",
       "      <td>2019년 10월 15일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.51697445541246</td>\n",
       "      <td>127.01953500047858</td>\n",
       "      <td>서울특별시 강남구 신사동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>21세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>25세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>166</td>\n",
       "      <td>2019101600100229</td>\n",
       "      <td>2019년 10월 16일 10시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.49562768941309</td>\n",
       "      <td>127.02903972127675</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>25세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>30세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>170</td>\n",
       "      <td>2019101900100624</td>\n",
       "      <td>2019년 10월 19일 20시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>37.506416726467</td>\n",
       "      <td>127.0602366482137</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로횡단보도내</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>27세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>174</td>\n",
       "      <td>2019102900100107</td>\n",
       "      <td>2019년 10월 29일 07시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.47531991294299</td>\n",
       "      <td>126.99071274345428</td>\n",
       "      <td>서울특별시 서초구 방배동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>34세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>175</td>\n",
       "      <td>2019103100100434</td>\n",
       "      <td>2019년 10월 31일 16시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>37.51989262141141</td>\n",
       "      <td>127.05743083724586</td>\n",
       "      <td>서울특별시 강남구 도곡동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>57세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>178</td>\n",
       "      <td>2019110300100261</td>\n",
       "      <td>2019년 11월 3일 14시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>37.48726730645976</td>\n",
       "      <td>127.00910216918204</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>25세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>30세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>182</td>\n",
       "      <td>2019110700100551</td>\n",
       "      <td>2019년 11월 7일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>37.48601920365302</td>\n",
       "      <td>126.98852636955057</td>\n",
       "      <td>서울특별시 서초구 방배동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>26세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>64세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>184</td>\n",
       "      <td>2019111300100671</td>\n",
       "      <td>2019년 11월 13일 21시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>37.5002997967154</td>\n",
       "      <td>127.03582693468557</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>57세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>186</td>\n",
       "      <td>2019111500100777</td>\n",
       "      <td>2019년 11월 15일 20시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.49786493941767</td>\n",
       "      <td>127.05818860532278</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>비</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>17세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>49세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>189</td>\n",
       "      <td>2019112200100199</td>\n",
       "      <td>2019년 11월 22일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.51787457343122</td>\n",
       "      <td>127.02430592724563</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>190</td>\n",
       "      <td>2019112300100080</td>\n",
       "      <td>2019년 11월 23일 04시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>37.50417376303704</td>\n",
       "      <td>127.04932112767011</td>\n",
       "      <td>서울특별시 강남구 대치동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>37세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>62세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>192</td>\n",
       "      <td>2019112500100569</td>\n",
       "      <td>2019년 11월 25일 19시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>37.50848626210668</td>\n",
       "      <td>127.02355923444964</td>\n",
       "      <td>서울특별시 서초구 잠원동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>17세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>43세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>193</td>\n",
       "      <td>2019112600100574</td>\n",
       "      <td>2019년 11월 26일 19시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.490720885022625</td>\n",
       "      <td>127.02247095449874</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>18세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>55세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>197</td>\n",
       "      <td>2019112900100715</td>\n",
       "      <td>2019년 11월 29일 20시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.49751137972451</td>\n",
       "      <td>127.02654690736662</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>200</td>\n",
       "      <td>2019120300100028</td>\n",
       "      <td>2019년 12월 3일 01시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.525948110592374</td>\n",
       "      <td>127.03904356941716</td>\n",
       "      <td>서울특별시 강남구 신사동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>27세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>30세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>201</td>\n",
       "      <td>2019120500100407</td>\n",
       "      <td>2019년 12월 5일 16시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>37.51760849815176</td>\n",
       "      <td>127.011164567846</td>\n",
       "      <td>서울특별시 서초구 잠원동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>52세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>204</td>\n",
       "      <td>2019122000100125</td>\n",
       "      <td>2019년 12월 20일 08시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.489995200204625</td>\n",
       "      <td>127.00781062360095</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>24세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>61세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>207</td>\n",
       "      <td>2019122400100521</td>\n",
       "      <td>2019년 12월 24일 18시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.515592421163404</td>\n",
       "      <td>127.04171612731089</td>\n",
       "      <td>서울특별시 강남구 논현동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>30세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>26세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>208</td>\n",
       "      <td>2019122400100522</td>\n",
       "      <td>2019년 12월 24일 18시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.5162192946686</td>\n",
       "      <td>127.05142732023319</td>\n",
       "      <td>서울특별시 강남구 삼성동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로횡단보도내</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>24세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>37세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>211</td>\n",
       "      <td>2019122700100600</td>\n",
       "      <td>2019년 12월 27일 21시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>37.50061550642614</td>\n",
       "      <td>127.02582422679114</td>\n",
       "      <td>서울특별시 강남구 역삼동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>18세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승합</td>\n",
       "      <td>남</td>\n",
       "      <td>43세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>212</td>\n",
       "      <td>2019123100100040</td>\n",
       "      <td>2019년 12월 31일 01시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>37.49860375060585</td>\n",
       "      <td>127.02698550817932</td>\n",
       "      <td>서울특별시 서초구 서초동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>기타</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>35세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0              사고번호               사고일시   요일                   위도  \\\n",
       "0            0  2017032400100162   2017년 3월 24일 09시  금요일  37.482441794881645    \n",
       "1            2  2017042300100461   2017년 4월 23일 20시  일요일   37.47409693517618    \n",
       "2            5  2017052500100328   2017년 5월 25일 14시  목요일  37.493402432997534    \n",
       "3            9  2017062800100470   2017년 6월 28일 19시  수요일   37.51066450830801    \n",
       "4           37  2018042000100032   2018년 4월 20일 02시  금요일   37.50027533962582    \n",
       "5           63  2018091700100054   2018년 9월 17일 06시  월요일   37.48947164056322    \n",
       "6           72  2018113000100116  2018년 11월 30일 08시  금요일     37.4878426967116   \n",
       "7           76  2018121100100493  2018년 12월 11일 19시  화요일   37.52282209699904    \n",
       "8           83  2019021200100506   2019년 2월 12일 22시  화요일   37.50641397668101    \n",
       "9           84  2019031300100215   2019년 3월 13일 11시  수요일   37.48918508906506    \n",
       "10          94  2019052200100543   2019년 5월 22일 18시  수요일  37.498708188524304    \n",
       "11          95  2019052400100624   2019년 5월 24일 19시  금요일   37.52283235730633    \n",
       "12          98  2019061200100497   2019년 6월 12일 19시  수요일   37.50976198843031    \n",
       "13          99  2019061300100224   2019년 6월 13일 11시  목요일   37.51932069081384    \n",
       "14         101  2019061700100365   2019년 6월 17일 15시  월요일   37.50927536856135    \n",
       "15         105  2019062600100466   2019년 6월 26일 17시  수요일  37.495867025943156    \n",
       "16         106  2019070100100311    2019년 7월 1일 13시  월요일   37.50854627659799    \n",
       "17         108  2019070900100638    2019년 7월 9일 23시  화요일   37.48336610564005    \n",
       "18         109  2019071100100428   2019년 7월 11일 17시  목요일     37.5071077027065   \n",
       "19         110  2019071200100424   2019년 7월 12일 16시  금요일  37.495046560161484    \n",
       "20         112  2019071400100342   2019년 7월 14일 17시  일요일   37.50589479380786    \n",
       "21         113  2019071700100479   2019년 7월 17일 18시  수요일   37.50030204322641    \n",
       "22         119  2019080500100586    2019년 8월 5일 20시  월요일   37.52552119614824    \n",
       "23         124  2019081300100148   2019년 8월 13일 09시  화요일  37.516420293985156    \n",
       "24         129  2019081800100193   2019년 8월 18일 13시  일요일  37.502405512897404    \n",
       "25         134  2019082500100455   2019년 8월 25일 20시  일요일  37.506554321849165    \n",
       "26         136  2019090100100215    2019년 9월 1일 13시  일요일     37.4889954652109   \n",
       "27         138  2019090200100439    2019년 9월 2일 16시  월요일   37.50399440332843    \n",
       "28         141  2019090300100223    2019년 9월 3일 11시  화요일    37.5235199956527    \n",
       "29         142  2019090900100179    2019년 9월 9일 09시  월요일  37.502729775537155    \n",
       "30         143  2019091000100204   2019년 9월 10일 09시  화요일  37.514475664834386    \n",
       "31         144  2019091400100090   2019년 9월 14일 10시  토요일     37.4942823894887   \n",
       "32         149  2019092300100371   2019년 9월 23일 15시  월요일    37.5084347920133    \n",
       "33         150  2019092300100491   2019년 9월 23일 18시  월요일  37.499720828854414    \n",
       "34         155  2019100100100173   2019년 10월 1일 09시  화요일  37.495872456441546    \n",
       "35         156  2019100400100538   2019년 10월 4일 18시  금요일   37.50118686452256    \n",
       "36         157  2019100500100300   2019년 10월 5일 14시  토요일   37.51986111243381    \n",
       "37         158  2019100800100026   2019년 10월 8일 00시  화요일   37.50169666753196    \n",
       "38         161  2019101300100169  2019년 10월 13일 11시  일요일   37.48528887109066    \n",
       "39         164  2019101500100505  2019년 10월 15일 17시  화요일   37.51697445541246    \n",
       "40         166  2019101600100229  2019년 10월 16일 10시  수요일   37.49562768941309    \n",
       "41         170  2019101900100624  2019년 10월 19일 20시  토요일      37.506416726467   \n",
       "42         174  2019102900100107  2019년 10월 29일 07시  화요일   37.47531991294299    \n",
       "43         175  2019103100100434  2019년 10월 31일 16시  목요일   37.51989262141141    \n",
       "44         178  2019110300100261   2019년 11월 3일 14시  일요일   37.48726730645976    \n",
       "45         182  2019110700100551   2019년 11월 7일 18시  목요일   37.48601920365302    \n",
       "46         184  2019111300100671  2019년 11월 13일 21시  수요일     37.5002997967154   \n",
       "47         186  2019111500100777  2019년 11월 15일 20시  금요일   37.49786493941767    \n",
       "48         189  2019112200100199  2019년 11월 22일 09시  금요일   37.51787457343122    \n",
       "49         190  2019112300100080  2019년 11월 23일 04시  토요일   37.50417376303704    \n",
       "50         192  2019112500100569  2019년 11월 25일 19시  월요일   37.50848626210668    \n",
       "51         193  2019112600100574  2019년 11월 26일 19시  화요일  37.490720885022625    \n",
       "52         197  2019112900100715  2019년 11월 29일 20시  금요일   37.49751137972451    \n",
       "53         200  2019120300100028   2019년 12월 3일 01시  화요일  37.525948110592374    \n",
       "54         201  2019120500100407   2019년 12월 5일 16시  목요일   37.51760849815176    \n",
       "55         204  2019122000100125  2019년 12월 20일 08시  금요일  37.489995200204625    \n",
       "56         207  2019122400100521  2019년 12월 24일 18시  화요일  37.515592421163404    \n",
       "57         208  2019122400100522  2019년 12월 24일 18시  화요일    37.5162192946686    \n",
       "58         211  2019122700100600  2019년 12월 27일 21시  금요일   37.50061550642614    \n",
       "59         212  2019123100100040  2019년 12월 31일 01시  화요일   37.49860375060585    \n",
       "\n",
       "                     경도             시군구    사고내용  사망자수  중상자수  ...  기상상태  \\\n",
       "0   127.03594277561041    서울특별시 서초구 양재동    경상사고     0     0  ...    맑음   \n",
       "1      126.992761936558   서울특별시 서초구 방배동    경상사고     0     0  ...    맑음   \n",
       "2   127.01601773561951    서울특별시 서초구 서초동    중상사고     0     1  ...    맑음   \n",
       "3     127.069254621366    서울특별시 강남구 논현동    중상사고     0     1  ...    맑음   \n",
       "4    127.0621995169631    서울특별시 강남구 대치동  부상신고사고     0     0  ...    흐림   \n",
       "5   126.98292869107078    서울특별시 서초구 방배동    경상사고     0     0  ...    맑음   \n",
       "6   127.10243126911546    서울특별시 강남구 수서동    중상사고     0     1  ...    맑음   \n",
       "7   127.01872203181729   서울특별시 강남구 압구정동    중상사고     0     1  ...    맑음   \n",
       "8   127.02342851902121    서울특별시 강남구 논현동    중상사고     0     2  ...    맑음   \n",
       "9   127.02012987685616    서울특별시 서초구 서초동    중상사고     0     1  ...    맑음   \n",
       "10  127.06105037736828    서울특별시 강남구 대치동    경상사고     0     0  ...    맑음   \n",
       "11  127.03345644478476    서울특별시 강남구 신사동    경상사고     0     0  ...    맑음   \n",
       "12  127.03780512741054    서울특별시 강남구 논현동    경상사고     0     0  ...    맑음   \n",
       "13  127.04066054231818    서울특별시 강남구 청담동  부상신고사고     0     0  ...    맑음   \n",
       "14  127.05517194028577    서울특별시 강남구 삼성동    경상사고     0     0  ...    맑음   \n",
       "15     127.013284471082   서울특별시 서초구 서초동    경상사고     0     0  ...    맑음   \n",
       "16  127.03573473841728    서울특별시 강남구 논현동    경상사고     0     0  ...    맑음   \n",
       "17  127.02400077620429    서울특별시 서초구 서초동    경상사고     0     0  ...    맑음   \n",
       "18  127.05675374954765    서울특별시 강남구 삼성동    경상사고     0     0  ...    맑음   \n",
       "19   127.0175022899771    서울특별시 서초구 서초동    경상사고     0     0  ...    맑음   \n",
       "20  127.05891301264784    서울특별시 강남구 대치동    경상사고     0     0  ...    맑음   \n",
       "21  127.03584672652138    서울특별시 강남구 역삼동  부상신고사고     0     0  ...    맑음   \n",
       "22  127.01447474487803   서울특별시 강남구 압구정동    중상사고     0     1  ...    맑음   \n",
       "23  127.01980067484989    서울특별시 강남구 신사동    경상사고     0     0  ...    맑음   \n",
       "24  127.03707479383041    서울특별시 강남구 역삼동    중상사고     0     1  ...    맑음   \n",
       "25   127.0380834310485    서울특별시 강남구 역삼동    경상사고     0     0  ...    맑음   \n",
       "26  127.03216927645632    서울특별시 강남구 도곡동    경상사고     0     0  ...    맑음   \n",
       "27  127.01025212030653    서울특별시 서초구 반포동    중상사고     0     1  ...    맑음   \n",
       "28     127.020973395936  서울특별시 강남구 압구정동    경상사고     0     0  ...    맑음   \n",
       "29  127.04393408896325    서울특별시 강남구 역삼동    경상사고     0     0  ...    맑음   \n",
       "30     127.033056823879   서울특별시 강남구 논현동    경상사고     0     0  ...    맑음   \n",
       "31  127.02098500638718    서울특별시 서초구 서초동    중상사고     0     1  ...    맑음   \n",
       "32  127.02180047684621    서울특별시 서초구 반포동    경상사고     0     0  ...    맑음   \n",
       "33  127.06293979115537    서울특별시 강남구 대치동  부상신고사고     0     0  ...    맑음   \n",
       "34   127.0394265255887    서울특별시 강남구 역삼동    경상사고     0     0  ...    맑음   \n",
       "35  127.03719576452939    서울특별시 강남구 역삼동  부상신고사고     0     0  ...    맑음   \n",
       "36  127.05737708129816    서울특별시 강남구 삼성동    중상사고     0     1  ...    맑음   \n",
       "37  127.02603381967535    서울특별시 강남구 역삼동  부상신고사고     0     0  ...    맑음   \n",
       "38  127.01592272260876    서울특별시 서초구 서초동    경상사고     0     0  ...    맑음   \n",
       "39  127.01953500047858    서울특별시 강남구 신사동    중상사고     0     1  ...    맑음   \n",
       "40  127.02903972127675    서울특별시 강남구 역삼동    경상사고     0     0  ...    맑음   \n",
       "41   127.0602366482137    서울특별시 강남구 대치동    경상사고     0     0  ...    맑음   \n",
       "42  126.99071274345428    서울특별시 서초구 방배동    중상사고     0     1  ...    맑음   \n",
       "43  127.05743083724586    서울특별시 강남구 도곡동  부상신고사고     0     0  ...    맑음   \n",
       "44  127.00910216918204    서울특별시 서초구 서초동  부상신고사고     0     0  ...    맑음   \n",
       "45  126.98852636955057    서울특별시 서초구 방배동    경상사고     0     0  ...    맑음   \n",
       "46  127.03582693468557    서울특별시 강남구 역삼동    중상사고     0     1  ...    맑음   \n",
       "47  127.05818860532278    서울특별시 강남구 대치동    경상사고     0     0  ...     비   \n",
       "48  127.02430592724563    서울특별시 강남구 논현동  부상신고사고     0     0  ...    맑음   \n",
       "49  127.04932112767011    서울특별시 강남구 대치동    중상사고     0     1  ...    맑음   \n",
       "50  127.02355923444964    서울특별시 서초구 잠원동    경상사고     0     0  ...    맑음   \n",
       "51  127.02247095449874    서울특별시 서초구 서초동  부상신고사고     0     0  ...    맑음   \n",
       "52  127.02654690736662    서울특별시 강남구 역삼동    경상사고     0     0  ...    맑음   \n",
       "53  127.03904356941716    서울특별시 강남구 신사동  부상신고사고     0     0  ...    맑음   \n",
       "54     127.011164567846   서울특별시 서초구 잠원동    경상사고     0     0  ...    맑음   \n",
       "55  127.00781062360095    서울특별시 서초구 서초동  부상신고사고     0     0  ...    맑음   \n",
       "56  127.04171612731089    서울특별시 강남구 논현동  부상신고사고     0     0  ...    맑음   \n",
       "57  127.05142732023319    서울특별시 강남구 삼성동    경상사고     0     0  ...    맑음   \n",
       "58  127.02582422679114    서울특별시 강남구 역삼동    경상사고     0     0  ...    맑음   \n",
       "59  127.02698550817932    서울특별시 서초구 서초동    경상사고     0     0  ...    기타   \n",
       "\n",
       "              도로형태     가해운전자 차종 가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종  \\\n",
       "0          기타 - 기타  개인형이동수단(PM)     기타불명      미분류       기타불명      보행자   \n",
       "1         단일로 - 기타  개인형이동수단(PM)        남      74세         경상       승용   \n",
       "2         단일로 - 기타  개인형이동수단(PM)        남      20세       상해없음      보행자   \n",
       "3         단일로 - 기타  개인형이동수단(PM)        남      20세       상해없음      자전거   \n",
       "4          기타 - 기타  개인형이동수단(PM)        남      35세       상해없음      보행자   \n",
       "5       교차로 - 교차로안  개인형이동수단(PM)        남      28세         경상       화물   \n",
       "6         단일로 - 기타  개인형이동수단(PM)        여      23세       상해없음      보행자   \n",
       "7         단일로 - 기타  개인형이동수단(PM)        남      28세         중상       승용   \n",
       "8         단일로 - 기타  개인형이동수단(PM)        남      29세         중상       이륜   \n",
       "9         단일로 - 기타  개인형이동수단(PM)        남      22세         경상       이륜   \n",
       "10        단일로 - 기타  개인형이동수단(PM)        여      18세       상해없음      보행자   \n",
       "11        단일로 - 기타  개인형이동수단(PM)        남      28세       상해없음      보행자   \n",
       "12        단일로 - 기타  개인형이동수단(PM)        남      30세         경상       승용   \n",
       "13         기타 - 기타  개인형이동수단(PM)        여      30세       부상신고       승용   \n",
       "14        단일로 - 기타  개인형이동수단(PM)        남      22세       상해없음      보행자   \n",
       "15        단일로 - 기타  개인형이동수단(PM)     기타불명      미분류       기타불명      보행자   \n",
       "16      교차로 - 교차로안  개인형이동수단(PM)        여      20세         경상       승용   \n",
       "17     교차로 - 교차로부근  개인형이동수단(PM)        남      33세         경상       승용   \n",
       "18         기타 - 기타  개인형이동수단(PM)        남      24세       상해없음      보행자   \n",
       "19        단일로 - 기타  개인형이동수단(PM)        여      23세         경상       승용   \n",
       "20        단일로 - 기타  개인형이동수단(PM)        남      18세       상해없음      보행자   \n",
       "21        단일로 - 기타  개인형이동수단(PM)        남      31세       상해없음      보행자   \n",
       "22        단일로 - 교량  개인형이동수단(PM)        남      27세       상해없음       이륜   \n",
       "23  교차로 - 교차로횡단보도내  개인형이동수단(PM)        여      27세         경상       승용   \n",
       "24      교차로 - 교차로안  개인형이동수단(PM)        남      29세       상해없음      보행자   \n",
       "25      교차로 - 교차로안  개인형이동수단(PM)        남      30세       상해없음       이륜   \n",
       "26        단일로 - 기타  개인형이동수단(PM)        여      28세       상해없음      보행자   \n",
       "27     교차로 - 교차로부근  개인형이동수단(PM)        남      13세         경상       승용   \n",
       "28      교차로 - 교차로안  개인형이동수단(PM)        남      14세         경상       승용   \n",
       "29         기타 - 기타  개인형이동수단(PM)        남      26세       상해없음      보행자   \n",
       "30         기타 - 기타  개인형이동수단(PM)        여      19세       부상신고      보행자   \n",
       "31     교차로 - 교차로부근  개인형이동수단(PM)        남      24세         중상       승용   \n",
       "32        단일로 - 기타  개인형이동수단(PM)        남      36세         경상       승용   \n",
       "33         기타 - 기타  개인형이동수단(PM)        남      21세       상해없음      보행자   \n",
       "34  교차로 - 교차로횡단보도내  개인형이동수단(PM)        남      44세         경상       승용   \n",
       "35         기타 - 기타  개인형이동수단(PM)        여      19세       상해없음      보행자   \n",
       "36  교차로 - 교차로횡단보도내  개인형이동수단(PM)        남      32세         중상       승용   \n",
       "37        단일로 - 기타  개인형이동수단(PM)        남      28세       상해없음      보행자   \n",
       "38        단일로 - 기타  개인형이동수단(PM)        남      14세       상해없음      보행자   \n",
       "39         기타 - 기타  개인형이동수단(PM)        여      21세         중상       승용   \n",
       "40         기타 - 기타  개인형이동수단(PM)        남      25세       상해없음      보행자   \n",
       "41  교차로 - 교차로횡단보도내  개인형이동수단(PM)        남      27세         경상      NaN   \n",
       "42        단일로 - 기타  개인형이동수단(PM)        남      38세         중상       승용   \n",
       "43      교차로 - 교차로안  개인형이동수단(PM)        남      28세       부상신고       승용   \n",
       "44      교차로 - 교차로안  개인형이동수단(PM)        남      25세       부상신고       이륜   \n",
       "45        단일로 - 기타  개인형이동수단(PM)        남      26세         경상       승용   \n",
       "46        단일로 - 기타  개인형이동수단(PM)        남      57세         중상       승용   \n",
       "47        단일로 - 기타  개인형이동수단(PM)        여      17세         경상       승용   \n",
       "48        단일로 - 기타  개인형이동수단(PM)        남      36세       부상신고       승용   \n",
       "49        단일로 - 기타  개인형이동수단(PM)        남      37세         중상       승용   \n",
       "50         기타 - 기타  개인형이동수단(PM)        남      17세       상해없음      보행자   \n",
       "51         기타 - 기타  개인형이동수단(PM)        남      18세       상해없음      보행자   \n",
       "52        단일로 - 기타  개인형이동수단(PM)        여      23세       상해없음      보행자   \n",
       "53      교차로 - 교차로안  개인형이동수단(PM)        남      27세       부상신고       승용   \n",
       "54         기타 - 기타  개인형이동수단(PM)        남      22세       상해없음       이륜   \n",
       "55         기타 - 기타  개인형이동수단(PM)        남      24세       부상신고       승용   \n",
       "56        단일로 - 기타  개인형이동수단(PM)        여      30세       상해없음      보행자   \n",
       "57  교차로 - 교차로횡단보도내  개인형이동수단(PM)        남      24세         경상       승용   \n",
       "58        단일로 - 기타  개인형이동수단(PM)        남      18세       상해없음       승합   \n",
       "59         기타 - 기타  개인형이동수단(PM)        남      38세       상해없음      보행자   \n",
       "\n",
       "   피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0         여      28세         경상  \n",
       "1         여      55세       상해없음  \n",
       "2         여      63세         중상  \n",
       "3         남      61세         중상  \n",
       "4         남      39세       부상신고  \n",
       "5         남      54세       상해없음  \n",
       "6         남      33세         중상  \n",
       "7         여      42세       상해없음  \n",
       "8         남      31세         중상  \n",
       "9         남      26세         중상  \n",
       "10        남      37세         경상  \n",
       "11        남       4세         경상  \n",
       "12        남      65세       상해없음  \n",
       "13        남      37세       상해없음  \n",
       "14        남      66세         경상  \n",
       "15        남      60세         경상  \n",
       "16        여      35세       상해없음  \n",
       "17        남      26세       상해없음  \n",
       "18        여      60세         경상  \n",
       "19        남      45세       상해없음  \n",
       "20        남      56세         경상  \n",
       "21        여      27세       부상신고  \n",
       "22        남      28세         중상  \n",
       "23        남      64세       상해없음  \n",
       "24        여      70세         중상  \n",
       "25        남      35세         경상  \n",
       "26        남      26세         경상  \n",
       "27        남      61세       상해없음  \n",
       "28        여      45세       상해없음  \n",
       "29        여      36세         경상  \n",
       "30        여      41세         경상  \n",
       "31        여      57세       상해없음  \n",
       "32        남      38세       상해없음  \n",
       "33        여      10세       부상신고  \n",
       "34        여      30세       상해없음  \n",
       "35        여      37세       부상신고  \n",
       "36        남      56세       상해없음  \n",
       "37        여      24세       부상신고  \n",
       "38        여      61세         경상  \n",
       "39        남      25세       상해없음  \n",
       "40        남      30세         경상  \n",
       "41      NaN      NaN        NaN  \n",
       "42        여      34세       상해없음  \n",
       "43        남      57세       상해없음  \n",
       "44        남      30세       상해없음  \n",
       "45        남      64세       상해없음  \n",
       "46        남      28세       상해없음  \n",
       "47        남      49세       상해없음  \n",
       "48        여      38세       상해없음  \n",
       "49        남      62세       상해없음  \n",
       "50        여      43세         경상  \n",
       "51        남      55세       부상신고  \n",
       "52        여      36세         경상  \n",
       "53        남      30세       상해없음  \n",
       "54        남      52세         경상  \n",
       "55        남      61세       상해없음  \n",
       "56        여      26세       부상신고  \n",
       "57        남      37세       상해없음  \n",
       "58        남      43세       상해없음  \n",
       "59        남      35세         경상  \n",
       "\n",
       "[60 rows x 25 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/서초강남PM사고위치.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"사고내용\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>사고내용</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.482441794881645</td>\n",
       "      <td>127.03594277561041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.47409693517618</td>\n",
       "      <td>126.992761936558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.493402432997534</td>\n",
       "      <td>127.01601773561951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.51066450830801</td>\n",
       "      <td>127.069254621366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.50027533962582</td>\n",
       "      <td>127.0621995169631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.48947164056322</td>\n",
       "      <td>126.98292869107078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.4878426967116</td>\n",
       "      <td>127.10243126911546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.52282209699904</td>\n",
       "      <td>127.01872203181729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.50641397668101</td>\n",
       "      <td>127.02342851902121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.48918508906506</td>\n",
       "      <td>127.02012987685616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.498708188524304</td>\n",
       "      <td>127.06105037736828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.52283235730633</td>\n",
       "      <td>127.03345644478476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.50976198843031</td>\n",
       "      <td>127.03780512741054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.51932069081384</td>\n",
       "      <td>127.04066054231818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.50927536856135</td>\n",
       "      <td>127.05517194028577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495867025943156</td>\n",
       "      <td>127.013284471082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.50854627659799</td>\n",
       "      <td>127.03573473841728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.48336610564005</td>\n",
       "      <td>127.02400077620429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.5071077027065</td>\n",
       "      <td>127.05675374954765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495046560161484</td>\n",
       "      <td>127.0175022899771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.50589479380786</td>\n",
       "      <td>127.05891301264784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.50030204322641</td>\n",
       "      <td>127.03584672652138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.52552119614824</td>\n",
       "      <td>127.01447474487803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.516420293985156</td>\n",
       "      <td>127.01980067484989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.502405512897404</td>\n",
       "      <td>127.03707479383041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.506554321849165</td>\n",
       "      <td>127.0380834310485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.4889954652109</td>\n",
       "      <td>127.03216927645632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.50399440332843</td>\n",
       "      <td>127.01025212030653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.5235199956527</td>\n",
       "      <td>127.020973395936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.502729775537155</td>\n",
       "      <td>127.04393408896325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.514475664834386</td>\n",
       "      <td>127.033056823879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.4942823894887</td>\n",
       "      <td>127.02098500638718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.5084347920133</td>\n",
       "      <td>127.02180047684621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.499720828854414</td>\n",
       "      <td>127.06293979115537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495872456441546</td>\n",
       "      <td>127.0394265255887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.50118686452256</td>\n",
       "      <td>127.03719576452939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.51986111243381</td>\n",
       "      <td>127.05737708129816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.50169666753196</td>\n",
       "      <td>127.02603381967535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.48528887109066</td>\n",
       "      <td>127.01592272260876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.51697445541246</td>\n",
       "      <td>127.01953500047858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.49562768941309</td>\n",
       "      <td>127.02903972127675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.506416726467</td>\n",
       "      <td>127.0602366482137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.47531991294299</td>\n",
       "      <td>126.99071274345428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.51989262141141</td>\n",
       "      <td>127.05743083724586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.48726730645976</td>\n",
       "      <td>127.00910216918204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.48601920365302</td>\n",
       "      <td>126.98852636955057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.5002997967154</td>\n",
       "      <td>127.03582693468557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.49786493941767</td>\n",
       "      <td>127.05818860532278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.51787457343122</td>\n",
       "      <td>127.02430592724563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.50417376303704</td>\n",
       "      <td>127.04932112767011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.50848626210668</td>\n",
       "      <td>127.02355923444964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.490720885022625</td>\n",
       "      <td>127.02247095449874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.49751137972451</td>\n",
       "      <td>127.02654690736662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.525948110592374</td>\n",
       "      <td>127.03904356941716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.51760849815176</td>\n",
       "      <td>127.011164567846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.489995200204625</td>\n",
       "      <td>127.00781062360095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.515592421163404</td>\n",
       "      <td>127.04171612731089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.5162192946686</td>\n",
       "      <td>127.05142732023319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.50061550642614</td>\n",
       "      <td>127.02582422679114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.49860375060585</td>\n",
       "      <td>127.02698550817932</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사고내용                   위도                   경도\n",
       "0     경상사고  37.482441794881645   127.03594277561041 \n",
       "1     경상사고   37.47409693517618      126.992761936558\n",
       "2     중상사고  37.493402432997534   127.01601773561951 \n",
       "3     중상사고   37.51066450830801     127.069254621366 \n",
       "4   부상신고사고   37.50027533962582    127.0621995169631 \n",
       "5     경상사고   37.48947164056322   126.98292869107078 \n",
       "6     중상사고     37.4878426967116  127.10243126911546 \n",
       "7     중상사고   37.52282209699904   127.01872203181729 \n",
       "8     중상사고   37.50641397668101   127.02342851902121 \n",
       "9     중상사고   37.48918508906506   127.02012987685616 \n",
       "10    경상사고  37.498708188524304   127.06105037736828 \n",
       "11    경상사고   37.52283235730633   127.03345644478476 \n",
       "12    경상사고   37.50976198843031   127.03780512741054 \n",
       "13  부상신고사고   37.51932069081384   127.04066054231818 \n",
       "14    경상사고   37.50927536856135   127.05517194028577 \n",
       "15    경상사고  37.495867025943156      127.013284471082\n",
       "16    경상사고   37.50854627659799   127.03573473841728 \n",
       "17    경상사고   37.48336610564005   127.02400077620429 \n",
       "18    경상사고     37.5071077027065  127.05675374954765 \n",
       "19    경상사고  37.495046560161484    127.0175022899771 \n",
       "20    경상사고   37.50589479380786   127.05891301264784 \n",
       "21  부상신고사고   37.50030204322641   127.03584672652138 \n",
       "22    중상사고   37.52552119614824   127.01447474487803 \n",
       "23    경상사고  37.516420293985156   127.01980067484989 \n",
       "24    중상사고  37.502405512897404   127.03707479383041 \n",
       "25    경상사고  37.506554321849165    127.0380834310485 \n",
       "26    경상사고     37.4889954652109  127.03216927645632 \n",
       "27    중상사고   37.50399440332843   127.01025212030653 \n",
       "28    경상사고    37.5235199956527      127.020973395936\n",
       "29    경상사고  37.502729775537155   127.04393408896325 \n",
       "30    경상사고  37.514475664834386      127.033056823879\n",
       "31    중상사고     37.4942823894887  127.02098500638718 \n",
       "32    경상사고    37.5084347920133   127.02180047684621 \n",
       "33  부상신고사고  37.499720828854414   127.06293979115537 \n",
       "34    경상사고  37.495872456441546    127.0394265255887 \n",
       "35  부상신고사고   37.50118686452256   127.03719576452939 \n",
       "36    중상사고   37.51986111243381   127.05737708129816 \n",
       "37  부상신고사고   37.50169666753196   127.02603381967535 \n",
       "38    경상사고   37.48528887109066   127.01592272260876 \n",
       "39    중상사고   37.51697445541246   127.01953500047858 \n",
       "40    경상사고   37.49562768941309   127.02903972127675 \n",
       "41    경상사고      37.506416726467   127.0602366482137 \n",
       "42    중상사고   37.47531991294299   126.99071274345428 \n",
       "43  부상신고사고   37.51989262141141   127.05743083724586 \n",
       "44  부상신고사고   37.48726730645976   127.00910216918204 \n",
       "45    경상사고   37.48601920365302   126.98852636955057 \n",
       "46    중상사고     37.5002997967154  127.03582693468557 \n",
       "47    경상사고   37.49786493941767   127.05818860532278 \n",
       "48  부상신고사고   37.51787457343122   127.02430592724563 \n",
       "49    중상사고   37.50417376303704   127.04932112767011 \n",
       "50    경상사고   37.50848626210668   127.02355923444964 \n",
       "51  부상신고사고  37.490720885022625   127.02247095449874 \n",
       "52    경상사고   37.49751137972451   127.02654690736662 \n",
       "53  부상신고사고  37.525948110592374   127.03904356941716 \n",
       "54    경상사고   37.51760849815176      127.011164567846\n",
       "55  부상신고사고  37.489995200204625   127.00781062360095 \n",
       "56  부상신고사고  37.515592421163404   127.04171612731089 \n",
       "57    경상사고    37.5162192946686   127.05142732023319 \n",
       "58    경상사고   37.50061550642614   127.02582422679114 \n",
       "59    경상사고   37.49860375060585   127.02698550817932 "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-20-9f078b38371f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['sub_cnt']=1\n",
      "<ipython-input-20-9f078b38371f>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-20-9f078b38371f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-20-9f078b38371f>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['sub_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>사고내용</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>sub_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.482442</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.03594 37.48244)</td>\n",
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       "      <th>1</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.474097</td>\n",
       "      <td>126.992762</td>\n",
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       "      <th>2</th>\n",
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       "      <td>37.493402</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.01602 37.49340)</td>\n",
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       "      <th>3</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.510665</td>\n",
       "      <td>127.069255</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06925 37.51066)</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.500275</td>\n",
       "      <td>127.062200</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06220 37.50028)</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.489472</td>\n",
       "      <td>126.982929</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98293 37.48947)</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.487843</td>\n",
       "      <td>127.102431</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10243 37.48784)</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.522822</td>\n",
       "      <td>127.018722</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01872 37.52282)</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.506414</td>\n",
       "      <td>127.023429</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02343 37.50641)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.489185</td>\n",
       "      <td>127.020130</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02013 37.48919)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.498708</td>\n",
       "      <td>127.061050</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06105 37.49871)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.522832</td>\n",
       "      <td>127.033456</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03346 37.52283)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.509762</td>\n",
       "      <td>127.037805</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03781 37.50976)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.519321</td>\n",
       "      <td>127.040661</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04066 37.51932)</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.509275</td>\n",
       "      <td>127.055172</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05517 37.50928)</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495867</td>\n",
       "      <td>127.013284</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01328 37.49587)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.508546</td>\n",
       "      <td>127.035735</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03573 37.50855)</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.483366</td>\n",
       "      <td>127.024001</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02400 37.48337)</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.507108</td>\n",
       "      <td>127.056754</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05675 37.50711)</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495047</td>\n",
       "      <td>127.017502</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01750 37.49505)</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.505895</td>\n",
       "      <td>127.058913</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05891 37.50589)</td>\n",
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       "      <th>21</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.500302</td>\n",
       "      <td>127.035847</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03585 37.50030)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.525521</td>\n",
       "      <td>127.014475</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01447 37.52552)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.516420</td>\n",
       "      <td>127.019801</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01980 37.51642)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.502406</td>\n",
       "      <td>127.037075</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03707 37.50241)</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.506554</td>\n",
       "      <td>127.038083</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03808 37.50655)</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.488995</td>\n",
       "      <td>127.032169</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03217 37.48900)</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.503994</td>\n",
       "      <td>127.010252</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01025 37.50399)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.523520</td>\n",
       "      <td>127.020973</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02097 37.52352)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.502730</td>\n",
       "      <td>127.043934</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04393 37.50273)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.514476</td>\n",
       "      <td>127.033057</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03306 37.51448)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.494282</td>\n",
       "      <td>127.020985</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02099 37.49428)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.508435</td>\n",
       "      <td>127.021800</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02180 37.50843)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.499721</td>\n",
       "      <td>127.062940</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06294 37.49972)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495872</td>\n",
       "      <td>127.039427</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03943 37.49587)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.501187</td>\n",
       "      <td>127.037196</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03720 37.50119)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.519861</td>\n",
       "      <td>127.057377</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05738 37.51986)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.501697</td>\n",
       "      <td>127.026034</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02603 37.50170)</td>\n",
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       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.485289</td>\n",
       "      <td>127.015923</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01592 37.48529)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.516974</td>\n",
       "      <td>127.019535</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01954 37.51697)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.495628</td>\n",
       "      <td>127.029040</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02904 37.49563)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.506417</td>\n",
       "      <td>127.060237</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06024 37.50642)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.475320</td>\n",
       "      <td>126.990713</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99071 37.47532)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.519893</td>\n",
       "      <td>127.057431</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05743 37.51989)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.487267</td>\n",
       "      <td>127.009102</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00910 37.48727)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.486019</td>\n",
       "      <td>126.988526</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98853 37.48602)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.500300</td>\n",
       "      <td>127.035827</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03583 37.50030)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.497865</td>\n",
       "      <td>127.058189</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05819 37.49786)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.517875</td>\n",
       "      <td>127.024306</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02431 37.51787)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>중상사고</td>\n",
       "      <td>37.504174</td>\n",
       "      <td>127.049321</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04932 37.50417)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.508486</td>\n",
       "      <td>127.023559</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02356 37.50849)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.490721</td>\n",
       "      <td>127.022471</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02247 37.49072)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.497511</td>\n",
       "      <td>127.026547</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02655 37.49751)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.525948</td>\n",
       "      <td>127.039044</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03904 37.52595)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.517608</td>\n",
       "      <td>127.011165</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01116 37.51761)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.489995</td>\n",
       "      <td>127.007811</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00781 37.49000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>37.515592</td>\n",
       "      <td>127.041716</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04172 37.51559)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.516219</td>\n",
       "      <td>127.051427</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05143 37.51622)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.500616</td>\n",
       "      <td>127.025824</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02582 37.50062)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>경상사고</td>\n",
       "      <td>37.498604</td>\n",
       "      <td>127.026986</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02699 37.49860)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사고내용         위도          경도  sub_cnt                       point\n",
       "0     경상사고  37.482442  127.035943        1  POINT (127.03594 37.48244)\n",
       "1     경상사고  37.474097  126.992762        1  POINT (126.99276 37.47410)\n",
       "2     중상사고  37.493402  127.016018        1  POINT (127.01602 37.49340)\n",
       "3     중상사고  37.510665  127.069255        1  POINT (127.06925 37.51066)\n",
       "4   부상신고사고  37.500275  127.062200        1  POINT (127.06220 37.50028)\n",
       "5     경상사고  37.489472  126.982929        1  POINT (126.98293 37.48947)\n",
       "6     중상사고  37.487843  127.102431        1  POINT (127.10243 37.48784)\n",
       "7     중상사고  37.522822  127.018722        1  POINT (127.01872 37.52282)\n",
       "8     중상사고  37.506414  127.023429        1  POINT (127.02343 37.50641)\n",
       "9     중상사고  37.489185  127.020130        1  POINT (127.02013 37.48919)\n",
       "10    경상사고  37.498708  127.061050        1  POINT (127.06105 37.49871)\n",
       "11    경상사고  37.522832  127.033456        1  POINT (127.03346 37.52283)\n",
       "12    경상사고  37.509762  127.037805        1  POINT (127.03781 37.50976)\n",
       "13  부상신고사고  37.519321  127.040661        1  POINT (127.04066 37.51932)\n",
       "14    경상사고  37.509275  127.055172        1  POINT (127.05517 37.50928)\n",
       "15    경상사고  37.495867  127.013284        1  POINT (127.01328 37.49587)\n",
       "16    경상사고  37.508546  127.035735        1  POINT (127.03573 37.50855)\n",
       "17    경상사고  37.483366  127.024001        1  POINT (127.02400 37.48337)\n",
       "18    경상사고  37.507108  127.056754        1  POINT (127.05675 37.50711)\n",
       "19    경상사고  37.495047  127.017502        1  POINT (127.01750 37.49505)\n",
       "20    경상사고  37.505895  127.058913        1  POINT (127.05891 37.50589)\n",
       "21  부상신고사고  37.500302  127.035847        1  POINT (127.03585 37.50030)\n",
       "22    중상사고  37.525521  127.014475        1  POINT (127.01447 37.52552)\n",
       "23    경상사고  37.516420  127.019801        1  POINT (127.01980 37.51642)\n",
       "24    중상사고  37.502406  127.037075        1  POINT (127.03707 37.50241)\n",
       "25    경상사고  37.506554  127.038083        1  POINT (127.03808 37.50655)\n",
       "26    경상사고  37.488995  127.032169        1  POINT (127.03217 37.48900)\n",
       "27    중상사고  37.503994  127.010252        1  POINT (127.01025 37.50399)\n",
       "28    경상사고  37.523520  127.020973        1  POINT (127.02097 37.52352)\n",
       "29    경상사고  37.502730  127.043934        1  POINT (127.04393 37.50273)\n",
       "30    경상사고  37.514476  127.033057        1  POINT (127.03306 37.51448)\n",
       "31    중상사고  37.494282  127.020985        1  POINT (127.02099 37.49428)\n",
       "32    경상사고  37.508435  127.021800        1  POINT (127.02180 37.50843)\n",
       "33  부상신고사고  37.499721  127.062940        1  POINT (127.06294 37.49972)\n",
       "34    경상사고  37.495872  127.039427        1  POINT (127.03943 37.49587)\n",
       "35  부상신고사고  37.501187  127.037196        1  POINT (127.03720 37.50119)\n",
       "36    중상사고  37.519861  127.057377        1  POINT (127.05738 37.51986)\n",
       "37  부상신고사고  37.501697  127.026034        1  POINT (127.02603 37.50170)\n",
       "38    경상사고  37.485289  127.015923        1  POINT (127.01592 37.48529)\n",
       "39    중상사고  37.516974  127.019535        1  POINT (127.01954 37.51697)\n",
       "40    경상사고  37.495628  127.029040        1  POINT (127.02904 37.49563)\n",
       "41    경상사고  37.506417  127.060237        1  POINT (127.06024 37.50642)\n",
       "42    중상사고  37.475320  126.990713        1  POINT (126.99071 37.47532)\n",
       "43  부상신고사고  37.519893  127.057431        1  POINT (127.05743 37.51989)\n",
       "44  부상신고사고  37.487267  127.009102        1  POINT (127.00910 37.48727)\n",
       "45    경상사고  37.486019  126.988526        1  POINT (126.98853 37.48602)\n",
       "46    중상사고  37.500300  127.035827        1  POINT (127.03583 37.50030)\n",
       "47    경상사고  37.497865  127.058189        1  POINT (127.05819 37.49786)\n",
       "48  부상신고사고  37.517875  127.024306        1  POINT (127.02431 37.51787)\n",
       "49    중상사고  37.504174  127.049321        1  POINT (127.04932 37.50417)\n",
       "50    경상사고  37.508486  127.023559        1  POINT (127.02356 37.50849)\n",
       "51  부상신고사고  37.490721  127.022471        1  POINT (127.02247 37.49072)\n",
       "52    경상사고  37.497511  127.026547        1  POINT (127.02655 37.49751)\n",
       "53  부상신고사고  37.525948  127.039044        1  POINT (127.03904 37.52595)\n",
       "54    경상사고  37.517608  127.011165        1  POINT (127.01116 37.51761)\n",
       "55  부상신고사고  37.489995  127.007811        1  POINT (127.00781 37.49000)\n",
       "56  부상신고사고  37.515592  127.041716        1  POINT (127.04172 37.51559)\n",
       "57    경상사고  37.516219  127.051427        1  POINT (127.05143 37.51622)\n",
       "58    경상사고  37.500616  127.025824        1  POINT (127.02582 37.50062)\n",
       "59    경상사고  37.498604  127.026986        1  POINT (127.02699 37.49860)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 60/60 [00:08<00:00,  7.45it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사542434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사547430</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사549419</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사551417</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사564435</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>다사566432</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>다사567450</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>다사568465</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>다사569441</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>다사570474</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>다사572430</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>다사572439</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>다사573440</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>다사574471</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>다사575434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>다사575464</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>다사575465</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>다사576439</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>다사576472</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>다사577436</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>다사577455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>다사578453</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>다사578455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>다사579427</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>다사579466</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>다사580447</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>다사581443</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>다사581444</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>다사581448</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>다사583441</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>다사586434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>다사587462</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>다사587471</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>다사589426</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>다사589446</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>다사589455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>다사590447</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>다사590448</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>다사591453</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>다사591457</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>다사592441</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>다사592475</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>다사594467</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>다사595463</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>다사596449</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>다사601450</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>다사603464</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>다사606456</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>다사608454</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>다사608468</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>다사609443</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>다사610452</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>다사611453</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>다사612444</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>다사613445</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>다사613446</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>다사619457</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>다사648432</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gid  TL_cnt\n",
       "0   다사542434       1\n",
       "1   다사547430       1\n",
       "2   다사549419       1\n",
       "3   다사551417       1\n",
       "4   다사564435       1\n",
       "5   다사566432       1\n",
       "6   다사567450       1\n",
       "7   다사568465       1\n",
       "8   다사569441       1\n",
       "9   다사570474       1\n",
       "10  다사572430       1\n",
       "11  다사572439       1\n",
       "12  다사573440       1\n",
       "13  다사574471       1\n",
       "14  다사575434       1\n",
       "15  다사575464       1\n",
       "16  다사575465       1\n",
       "17  다사576439       1\n",
       "18  다사576472       1\n",
       "19  다사577436       1\n",
       "20  다사577455       1\n",
       "21  다사578453       1\n",
       "22  다사578455       1\n",
       "23  다사579427       1\n",
       "24  다사579466       1\n",
       "25  다사580447       1\n",
       "26  다사581443       1\n",
       "27  다사581444       1\n",
       "28  다사581448       1\n",
       "29  다사583441       1\n",
       "30  다사586434       1\n",
       "31  다사587462       1\n",
       "32  다사587471       1\n",
       "33  다사589426       1\n",
       "34  다사589446       2\n",
       "35  다사589455       1\n",
       "36  다사590447       1\n",
       "37  다사590448       1\n",
       "38  다사591453       1\n",
       "39  다사591457       1\n",
       "40  다사592441       1\n",
       "41  다사592475       1\n",
       "42  다사594467       1\n",
       "43  다사595463       1\n",
       "44  다사596449       1\n",
       "45  다사601450       1\n",
       "46  다사603464       1\n",
       "47  다사606456       1\n",
       "48  다사608454       1\n",
       "49  다사608468       2\n",
       "50  다사609443       1\n",
       "51  다사610452       1\n",
       "52  다사611453       1\n",
       "53  다사612444       1\n",
       "54  다사613445       1\n",
       "55  다사613446       1\n",
       "56  다사619457       1\n",
       "57  다사648432       1"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남PM교통사고전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 학교 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>학교명</th>\n",
       "      <th>소재지도로명주소</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>가톨릭대학교</td>\n",
       "      <td>서울특별시 서초구 반포대로 222</td>\n",
       "      <td>37.502394</td>\n",
       "      <td>127.005861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>한국예술종합학교</td>\n",
       "      <td>서울특별시 서초구 남부순환로 2374</td>\n",
       "      <td>37.477919</td>\n",
       "      <td>127.010770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>서울외국어대학원대학교</td>\n",
       "      <td>서울특별시 서초구 남부순환로356길 85</td>\n",
       "      <td>37.481279</td>\n",
       "      <td>127.038956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>예명대학원대학교</td>\n",
       "      <td>서울특별시 서초구 남부순환로337가길 49</td>\n",
       "      <td>37.484222</td>\n",
       "      <td>127.023745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>치유상담대학원대학교</td>\n",
       "      <td>서울특별시 서초구 서초대로 121</td>\n",
       "      <td>37.488530</td>\n",
       "      <td>126.995461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>133</td>\n",
       "      <td>신사중학교</td>\n",
       "      <td>서울특별시 강남구 압구정로 123</td>\n",
       "      <td>37.524329</td>\n",
       "      <td>127.021236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>134</td>\n",
       "      <td>서울일원초등학교</td>\n",
       "      <td>서울특별시 강남구 영동대로4길 20</td>\n",
       "      <td>37.489473</td>\n",
       "      <td>127.076367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>135</td>\n",
       "      <td>내곡중학교</td>\n",
       "      <td>서울특별시 서초구 청계산로7길 9-20</td>\n",
       "      <td>37.451982</td>\n",
       "      <td>127.054783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>136</td>\n",
       "      <td>서울양재초등학교</td>\n",
       "      <td>서울특별시 서초구 바우뫼로18길 14</td>\n",
       "      <td>37.473810</td>\n",
       "      <td>127.031886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>137</td>\n",
       "      <td>서울세명초등학교</td>\n",
       "      <td>서울특별시 강남구 자곡로 55</td>\n",
       "      <td>37.468605</td>\n",
       "      <td>127.091057</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>138 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0          학교명                 소재지도로명주소         위도          경도\n",
       "0             0       가톨릭대학교       서울특별시 서초구 반포대로 222  37.502394  127.005861\n",
       "1             1     한국예술종합학교     서울특별시 서초구 남부순환로 2374  37.477919  127.010770\n",
       "2             2  서울외국어대학원대학교   서울특별시 서초구 남부순환로356길 85  37.481279  127.038956\n",
       "3             3     예명대학원대학교  서울특별시 서초구 남부순환로337가길 49  37.484222  127.023745\n",
       "4             4   치유상담대학원대학교       서울특별시 서초구 서초대로 121  37.488530  126.995461\n",
       "..          ...          ...                      ...        ...         ...\n",
       "133         133        신사중학교       서울특별시 강남구 압구정로 123  37.524329  127.021236\n",
       "134         134     서울일원초등학교      서울특별시 강남구 영동대로4길 20  37.489473  127.076367\n",
       "135         135        내곡중학교    서울특별시 서초구 청계산로7길 9-20  37.451982  127.054783\n",
       "136         136     서울양재초등학교     서울특별시 서초구 바우뫼로18길 14  37.473810  127.031886\n",
       "137         137     서울세명초등학교         서울특별시 강남구 자곡로 55  37.468605  127.091057\n",
       "\n",
       "[138 rows x 5 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/서초구강남구초중고대학교.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"학교명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>학교명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>가톨릭대학교</td>\n",
       "      <td>37.502394</td>\n",
       "      <td>127.005861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>한국예술종합학교</td>\n",
       "      <td>37.477919</td>\n",
       "      <td>127.010770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>서울외국어대학원대학교</td>\n",
       "      <td>37.481279</td>\n",
       "      <td>127.038956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>예명대학원대학교</td>\n",
       "      <td>37.484222</td>\n",
       "      <td>127.023745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>치유상담대학원대학교</td>\n",
       "      <td>37.488530</td>\n",
       "      <td>126.995461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>신사중학교</td>\n",
       "      <td>37.524329</td>\n",
       "      <td>127.021236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>서울일원초등학교</td>\n",
       "      <td>37.489473</td>\n",
       "      <td>127.076367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>내곡중학교</td>\n",
       "      <td>37.451982</td>\n",
       "      <td>127.054783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>서울양재초등학교</td>\n",
       "      <td>37.473810</td>\n",
       "      <td>127.031886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>서울세명초등학교</td>\n",
       "      <td>37.468605</td>\n",
       "      <td>127.091057</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>138 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             학교명         위도          경도\n",
       "0         가톨릭대학교  37.502394  127.005861\n",
       "1       한국예술종합학교  37.477919  127.010770\n",
       "2    서울외국어대학원대학교  37.481279  127.038956\n",
       "3       예명대학원대학교  37.484222  127.023745\n",
       "4     치유상담대학원대학교  37.488530  126.995461\n",
       "..           ...        ...         ...\n",
       "133        신사중학교  37.524329  127.021236\n",
       "134     서울일원초등학교  37.489473  127.076367\n",
       "135        내곡중학교  37.451982  127.054783\n",
       "136     서울양재초등학교  37.473810  127.031886\n",
       "137     서울세명초등학교  37.468605  127.091057\n",
       "\n",
       "[138 rows x 3 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-32-9f078b38371f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['sub_cnt']=1\n",
      "<ipython-input-32-9f078b38371f>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-32-9f078b38371f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n"
     ]
    }
   ],
   "source": [
    "data3['sub_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>학교명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>sub_cnt</th>\n",
       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>가톨릭대학교</td>\n",
       "      <td>37.502394</td>\n",
       "      <td>127.005861</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00586 37.50239)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>한국예술종합학교</td>\n",
       "      <td>37.477919</td>\n",
       "      <td>127.010770</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01077 37.47792)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>서울외국어대학원대학교</td>\n",
       "      <td>37.481279</td>\n",
       "      <td>127.038956</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03896 37.48128)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>예명대학원대학교</td>\n",
       "      <td>37.484222</td>\n",
       "      <td>127.023745</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02374 37.48422)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>치유상담대학원대학교</td>\n",
       "      <td>37.488530</td>\n",
       "      <td>126.995461</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99546 37.48853)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>신사중학교</td>\n",
       "      <td>37.524329</td>\n",
       "      <td>127.021236</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02124 37.52433)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>서울일원초등학교</td>\n",
       "      <td>37.489473</td>\n",
       "      <td>127.076367</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.07637 37.48947)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>내곡중학교</td>\n",
       "      <td>37.451982</td>\n",
       "      <td>127.054783</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05478 37.45198)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>서울양재초등학교</td>\n",
       "      <td>37.473810</td>\n",
       "      <td>127.031886</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.03189 37.47381)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>서울세명초등학교</td>\n",
       "      <td>37.468605</td>\n",
       "      <td>127.091057</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.09106 37.46861)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>138 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             학교명         위도          경도  sub_cnt                       point\n",
       "0         가톨릭대학교  37.502394  127.005861        1  POINT (127.00586 37.50239)\n",
       "1       한국예술종합학교  37.477919  127.010770        1  POINT (127.01077 37.47792)\n",
       "2    서울외국어대학원대학교  37.481279  127.038956        1  POINT (127.03896 37.48128)\n",
       "3       예명대학원대학교  37.484222  127.023745        1  POINT (127.02374 37.48422)\n",
       "4     치유상담대학원대학교  37.488530  126.995461        1  POINT (126.99546 37.48853)\n",
       "..           ...        ...         ...      ...                         ...\n",
       "133        신사중학교  37.524329  127.021236        1  POINT (127.02124 37.52433)\n",
       "134     서울일원초등학교  37.489473  127.076367        1  POINT (127.07637 37.48947)\n",
       "135        내곡중학교  37.451982  127.054783        1  POINT (127.05478 37.45198)\n",
       "136     서울양재초등학교  37.473810  127.031886        1  POINT (127.03189 37.47381)\n",
       "137     서울세명초등학교  37.468605  127.091057        1  POINT (127.09106 37.46861)\n",
       "\n",
       "[138 rows x 5 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 138/138 [00:16<00:00,  8.36it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사544422</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사544434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사545434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사546432</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사547412</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>다사647436</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>다사648434</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>다사648435</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>다사651406</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>다사653417</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>134 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0    다사544422       1\n",
       "1    다사544434       1\n",
       "2    다사545434       1\n",
       "3    다사546432       1\n",
       "4    다사547412       1\n",
       "..        ...     ...\n",
       "129  다사647436       1\n",
       "130  다사648434       1\n",
       "131  다사648435       1\n",
       "132  다사651406       1\n",
       "133  다사653417       1\n",
       "\n",
       "[134 rows x 2 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/그리드 전처리 완료/서초강남학교전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## cctv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>고정형CCTV지번주소</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "      <th>자치구</th>\n",
       "      <th>단속지점명</th>\n",
       "      <th>현장구분</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>방배본동 19-3</td>\n",
       "      <td>37.495498</td>\n",
       "      <td>126.988840</td>\n",
       "      <td>서초구</td>\n",
       "      <td>서래초병설유치원주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>방배1동 906-13</td>\n",
       "      <td>37.483566</td>\n",
       "      <td>126.997070</td>\n",
       "      <td>서초구</td>\n",
       "      <td>서리풀e편한세상APT 주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>방배1동 906-16</td>\n",
       "      <td>37.484531</td>\n",
       "      <td>126.997412</td>\n",
       "      <td>서초구</td>\n",
       "      <td>서리풀e편한세상APT2번출구주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>반포4동 51-5</td>\n",
       "      <td>37.501277</td>\n",
       "      <td>127.011311</td>\n",
       "      <td>서초구</td>\n",
       "      <td>서석빌딩사거리 주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>54</td>\n",
       "      <td>54</td>\n",
       "      <td>서초2동 1325-1</td>\n",
       "      <td>37.493085</td>\n",
       "      <td>127.024155</td>\n",
       "      <td>서초구</td>\n",
       "      <td>서운중학교뒷길 주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>3311</td>\n",
       "      <td>3311</td>\n",
       "      <td>서울 서초구 잠원동 62-4</td>\n",
       "      <td>37.513444</td>\n",
       "      <td>127.010149</td>\n",
       "      <td>서초구</td>\n",
       "      <td>신반포한신347동</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>3314</td>\n",
       "      <td>3314</td>\n",
       "      <td>서울 강남구 삼성동 146-28</td>\n",
       "      <td>37.512300</td>\n",
       "      <td>127.055749</td>\n",
       "      <td>강남구</td>\n",
       "      <td>[삼성1-125] 태형빌딩 주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>3315</td>\n",
       "      <td>3315</td>\n",
       "      <td>서울 강남구 삼성동 29-19</td>\n",
       "      <td>37.514338</td>\n",
       "      <td>127.045811</td>\n",
       "      <td>강남구</td>\n",
       "      <td>[삼성2-119] 삼성벨라스아파트 주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>3319</td>\n",
       "      <td>3319</td>\n",
       "      <td>서울 강남구 삼성동 141-19</td>\n",
       "      <td>37.505168</td>\n",
       "      <td>127.048947</td>\n",
       "      <td>강남구</td>\n",
       "      <td>[삼성2-113] 선릉역8번출구 주변</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>3320</td>\n",
       "      <td>3320</td>\n",
       "      <td>서울 서초구 서초동 1348-9</td>\n",
       "      <td>37.486268</td>\n",
       "      <td>127.025877</td>\n",
       "      <td>서초구</td>\n",
       "      <td>주택옆</td>\n",
       "      <td>불법주정차구역</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>679 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  Unnamed: 0.1        고정형CCTV지번주소         위도          경도  자치구  \\\n",
       "0            50            50          방배본동 19-3  37.495498  126.988840  서초구   \n",
       "1            51            51        방배1동 906-13  37.483566  126.997070  서초구   \n",
       "2            52            52        방배1동 906-16  37.484531  126.997412  서초구   \n",
       "3            53            53          반포4동 51-5  37.501277  127.011311  서초구   \n",
       "4            54            54        서초2동 1325-1  37.493085  127.024155  서초구   \n",
       "..          ...           ...                ...        ...         ...  ...   \n",
       "674        3311          3311    서울 서초구 잠원동 62-4  37.513444  127.010149  서초구   \n",
       "675        3314          3314  서울 강남구 삼성동 146-28  37.512300  127.055749  강남구   \n",
       "676        3315          3315   서울 강남구 삼성동 29-19  37.514338  127.045811  강남구   \n",
       "677        3319          3319  서울 강남구 삼성동 141-19  37.505168  127.048947  강남구   \n",
       "678        3320          3320  서울 서초구 서초동 1348-9  37.486268  127.025877  서초구   \n",
       "\n",
       "                     단속지점명     현장구분  \n",
       "0               서래초병설유치원주변  불법주정차구역  \n",
       "1           서리풀e편한세상APT 주변  불법주정차구역  \n",
       "2        서리풀e편한세상APT2번출구주변  불법주정차구역  \n",
       "3               서석빌딩사거리 주변  불법주정차구역  \n",
       "4               서운중학교뒷길 주변  불법주정차구역  \n",
       "..                     ...      ...  \n",
       "674              신반포한신347동  불법주정차구역  \n",
       "675      [삼성1-125] 태형빌딩 주변  불법주정차구역  \n",
       "676  [삼성2-119] 삼성벨라스아파트 주변  불법주정차구역  \n",
       "677   [삼성2-113] 선릉역8번출구 주변  불법주정차구역  \n",
       "678                    주택옆  불법주정차구역  \n",
       "\n",
       "[679 rows x 8 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/서초강남cctv.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"단속지점명\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>단속지점명</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>서래초병설유치원주변</td>\n",
       "      <td>37.495498</td>\n",
       "      <td>126.988840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>서리풀e편한세상APT 주변</td>\n",
       "      <td>37.483566</td>\n",
       "      <td>126.997070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>서리풀e편한세상APT2번출구주변</td>\n",
       "      <td>37.484531</td>\n",
       "      <td>126.997412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>서석빌딩사거리 주변</td>\n",
       "      <td>37.501277</td>\n",
       "      <td>127.011311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>서운중학교뒷길 주변</td>\n",
       "      <td>37.493085</td>\n",
       "      <td>127.024155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>신반포한신347동</td>\n",
       "      <td>37.513444</td>\n",
       "      <td>127.010149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>[삼성1-125] 태형빌딩 주변</td>\n",
       "      <td>37.512300</td>\n",
       "      <td>127.055749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>[삼성2-119] 삼성벨라스아파트 주변</td>\n",
       "      <td>37.514338</td>\n",
       "      <td>127.045811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>[삼성2-113] 선릉역8번출구 주변</td>\n",
       "      <td>37.505168</td>\n",
       "      <td>127.048947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>주택옆</td>\n",
       "      <td>37.486268</td>\n",
       "      <td>127.025877</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>679 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     단속지점명         위도          경도\n",
       "0               서래초병설유치원주변  37.495498  126.988840\n",
       "1           서리풀e편한세상APT 주변  37.483566  126.997070\n",
       "2        서리풀e편한세상APT2번출구주변  37.484531  126.997412\n",
       "3               서석빌딩사거리 주변  37.501277  127.011311\n",
       "4               서운중학교뒷길 주변  37.493085  127.024155\n",
       "..                     ...        ...         ...\n",
       "674              신반포한신347동  37.513444  127.010149\n",
       "675      [삼성1-125] 태형빌딩 주변  37.512300  127.055749\n",
       "676  [삼성2-119] 삼성벨라스아파트 주변  37.514338  127.045811\n",
       "677   [삼성2-113] 선릉역8번출구 주변  37.505168  127.048947\n",
       "678                    주택옆  37.486268  127.025877\n",
       "\n",
       "[679 rows x 3 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-61-9f078b38371f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['sub_cnt']=1\n",
      "<ipython-input-61-9f078b38371f>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-61-9f078b38371f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-61-9f078b38371f>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['sub_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>위도</th>\n",
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       "      <th>0</th>\n",
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       "      <td>37.495498</td>\n",
       "      <td>126.988840</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.98884 37.49550)</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>서리풀e편한세상APT 주변</td>\n",
       "      <td>37.483566</td>\n",
       "      <td>126.997070</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99707 37.48357)</td>\n",
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       "      <th>2</th>\n",
       "      <td>서리풀e편한세상APT2번출구주변</td>\n",
       "      <td>37.484531</td>\n",
       "      <td>126.997412</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99741 37.48453)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>서석빌딩사거리 주변</td>\n",
       "      <td>37.501277</td>\n",
       "      <td>127.011311</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01131 37.50128)</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>서운중학교뒷길 주변</td>\n",
       "      <td>37.493085</td>\n",
       "      <td>127.024155</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02415 37.49309)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>신반포한신347동</td>\n",
       "      <td>37.513444</td>\n",
       "      <td>127.010149</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.01015 37.51344)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>[삼성1-125] 태형빌딩 주변</td>\n",
       "      <td>37.512300</td>\n",
       "      <td>127.055749</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.05575 37.51230)</td>\n",
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       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>[삼성2-119] 삼성벨라스아파트 주변</td>\n",
       "      <td>37.514338</td>\n",
       "      <td>127.045811</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04581 37.51434)</td>\n",
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       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>[삼성2-113] 선릉역8번출구 주변</td>\n",
       "      <td>37.505168</td>\n",
       "      <td>127.048947</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04895 37.50517)</td>\n",
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       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>주택옆</td>\n",
       "      <td>37.486268</td>\n",
       "      <td>127.025877</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.02588 37.48627)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>679 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     단속지점명         위도          경도  sub_cnt  \\\n",
       "0               서래초병설유치원주변  37.495498  126.988840        1   \n",
       "1           서리풀e편한세상APT 주변  37.483566  126.997070        1   \n",
       "2        서리풀e편한세상APT2번출구주변  37.484531  126.997412        1   \n",
       "3               서석빌딩사거리 주변  37.501277  127.011311        1   \n",
       "4               서운중학교뒷길 주변  37.493085  127.024155        1   \n",
       "..                     ...        ...         ...      ...   \n",
       "674              신반포한신347동  37.513444  127.010149        1   \n",
       "675      [삼성1-125] 태형빌딩 주변  37.512300  127.055749        1   \n",
       "676  [삼성2-119] 삼성벨라스아파트 주변  37.514338  127.045811        1   \n",
       "677   [삼성2-113] 선릉역8번출구 주변  37.505168  127.048947        1   \n",
       "678                    주택옆  37.486268  127.025877        1   \n",
       "\n",
       "                          point  \n",
       "0    POINT (126.98884 37.49550)  \n",
       "1    POINT (126.99707 37.48357)  \n",
       "2    POINT (126.99741 37.48453)  \n",
       "3    POINT (127.01131 37.50128)  \n",
       "4    POINT (127.02415 37.49309)  \n",
       "..                          ...  \n",
       "674  POINT (127.01015 37.51344)  \n",
       "675  POINT (127.05575 37.51230)  \n",
       "676  POINT (127.04581 37.51434)  \n",
       "677  POINT (127.04895 37.50517)  \n",
       "678  POINT (127.02588 37.48627)  \n",
       "\n",
       "[679 rows x 5 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 679/679 [01:39<00:00,  6.81it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>다사663411</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>다사663412</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>다사664410</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>다사664411</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>643 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          gid  TL_cnt\n",
       "0    다사541418       1\n",
       "1    다사541421       1\n",
       "2    다사542421       1\n",
       "3    다사542422       1\n",
       "4    다사542429       1\n",
       "..        ...     ...\n",
       "638  다사662413       1\n",
       "639  다사663411       1\n",
       "640  다사663412       1\n",
       "641  다사664410       1\n",
       "642  다사664411       1\n",
       "\n",
       "[643 rows x 2 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/서초강남cctv전처리완료.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 무인단속"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>무인교통단속카메라관리번호</th>\n",
       "      <th>시도명</th>\n",
       "      <th>시군구명</th>\n",
       "      <th>도로종류</th>\n",
       "      <th>도로노선번호</th>\n",
       "      <th>도로노선명</th>\n",
       "      <th>도로노선방향</th>\n",
       "      <th>소재지도로명주소</th>\n",
       "      <th>...</th>\n",
       "      <th>제한속도</th>\n",
       "      <th>단속구간위치구분</th>\n",
       "      <th>과속단속구간길이</th>\n",
       "      <th>보호구역구분</th>\n",
       "      <th>설치연도</th>\n",
       "      <th>관리기관명</th>\n",
       "      <th>관리기관전화번호</th>\n",
       "      <th>데이터기준일자</th>\n",
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       "      <th>제공기관명</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>141</td>\n",
       "      <td>1269</td>\n",
       "      <td>F9956</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>서초구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>남부순환로</td>\n",
       "      <td>2.0</td>\n",
       "      <td>서울특별시 서초구 남부순환로 2183</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>142</td>\n",
       "      <td>1270</td>\n",
       "      <td>F9957</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>서초구</td>\n",
       "      <td>일반국도</td>\n",
       "      <td>47번</td>\n",
       "      <td>중앙로</td>\n",
       "      <td>2.0</td>\n",
       "      <td>서울특별시 서초구 중앙로</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>147</td>\n",
       "      <td>1287</td>\n",
       "      <td>F9342</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>서초구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>효령로</td>\n",
       "      <td>1.0</td>\n",
       "      <td>서울특별시 서초구 효령로</td>\n",
       "      <td>...</td>\n",
       "      <td>50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>157</td>\n",
       "      <td>1297</td>\n",
       "      <td>F9352</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>남부순환로</td>\n",
       "      <td>2.0</td>\n",
       "      <td>서울특별시 강남구 남부순환로 2726</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>165</td>\n",
       "      <td>1305</td>\n",
       "      <td>F9360</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>서초구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>잠원로</td>\n",
       "      <td>1.0</td>\n",
       "      <td>서울특별시 서초구 잠원로</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>1224</td>\n",
       "      <td>8386</td>\n",
       "      <td>F4729</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>지방도</td>\n",
       "      <td>23번</td>\n",
       "      <td>양재대로</td>\n",
       "      <td>1.0</td>\n",
       "      <td>서울특별시 강남구 양재대로</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1229</td>\n",
       "      <td>8391</td>\n",
       "      <td>F4736</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>도산대로</td>\n",
       "      <td>2.0</td>\n",
       "      <td>서울특별시 강남구 도산대로 502</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1240</td>\n",
       "      <td>8402</td>\n",
       "      <td>F5035</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>개포로</td>\n",
       "      <td>1.0</td>\n",
       "      <td>서울특별시 강남구 개포로</td>\n",
       "      <td>...</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1262</td>\n",
       "      <td>8424</td>\n",
       "      <td>F4416</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>강남구</td>\n",
       "      <td>지방도</td>\n",
       "      <td>23번</td>\n",
       "      <td>남부순환로</td>\n",
       "      <td>2.0</td>\n",
       "      <td>서울특별시 강남구 남부순환로</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1270</td>\n",
       "      <td>8432</td>\n",
       "      <td>F4382</td>\n",
       "      <td>서울특별시</td>\n",
       "      <td>서초구</td>\n",
       "      <td>특별시도</td>\n",
       "      <td>NaN</td>\n",
       "      <td>사평대로</td>\n",
       "      <td>1.0</td>\n",
       "      <td>서울특별시 서초구 사평대로 73</td>\n",
       "      <td>...</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>서울지방경찰청</td>\n",
       "      <td>02-700-5031</td>\n",
       "      <td>2020-05-31</td>\n",
       "      <td>1320000</td>\n",
       "      <td>경찰청</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0  Unnamed: 0.1 무인교통단속카메라관리번호    시도명 시군구명  도로종류 도로노선번호  도로노선명  \\\n",
       "0          141          1269         F9956  서울특별시  서초구  특별시도    NaN  남부순환로   \n",
       "1          142          1270         F9957  서울특별시  서초구  일반국도    47번    중앙로   \n",
       "2          147          1287         F9342  서울특별시  서초구  특별시도    NaN    효령로   \n",
       "3          157          1297         F9352  서울특별시  강남구  특별시도    NaN  남부순환로   \n",
       "4          165          1305         F9360  서울특별시  서초구  특별시도    NaN    잠원로   \n",
       "..         ...           ...           ...    ...  ...   ...    ...    ...   \n",
       "91        1224          8386         F4729  서울특별시  강남구   지방도    23번   양재대로   \n",
       "92        1229          8391         F4736  서울특별시  강남구  특별시도    NaN   도산대로   \n",
       "93        1240          8402         F5035  서울특별시  강남구  특별시도    NaN    개포로   \n",
       "94        1262          8424         F4416  서울특별시  강남구   지방도    23번  남부순환로   \n",
       "95        1270          8432         F4382  서울특별시  서초구  특별시도    NaN   사평대로   \n",
       "\n",
       "    도로노선방향              소재지도로명주소  ... 제한속도  단속구간위치구분  과속단속구간길이 보호구역구분    설치연도  \\\n",
       "0      2.0  서울특별시 서초구 남부순환로 2183  ...   60       NaN       NaN   99.0  2017.0   \n",
       "1      2.0         서울특별시 서초구 중앙로  ...   60       NaN       NaN   99.0  2017.0   \n",
       "2      1.0         서울특별시 서초구 효령로  ...   50       NaN       NaN   99.0  2016.0   \n",
       "3      2.0  서울특별시 강남구 남부순환로 2726  ...   60       NaN       NaN   99.0  2016.0   \n",
       "4      1.0         서울특별시 서초구 잠원로  ...   60       NaN       NaN   99.0  2016.0   \n",
       "..     ...                   ...  ...  ...       ...       ...    ...     ...   \n",
       "91     1.0        서울특별시 강남구 양재대로  ...   70       NaN       NaN   99.0  2009.0   \n",
       "92     2.0    서울특별시 강남구 도산대로 502  ...   60       NaN       NaN   99.0  2009.0   \n",
       "93     1.0         서울특별시 강남구 개포로  ...   40       NaN       NaN   99.0  2009.0   \n",
       "94     2.0       서울특별시 강남구 남부순환로  ...   60       NaN       NaN   99.0  2008.0   \n",
       "95     1.0     서울특별시 서초구 사평대로 73  ...   60       NaN       NaN   99.0  2008.0   \n",
       "\n",
       "      관리기관명     관리기관전화번호     데이터기준일자   제공기관코드  제공기관명  \n",
       "0   서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "1   서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "2   서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "3   서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "4   서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "..      ...          ...         ...      ...    ...  \n",
       "91  서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "92  서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "93  서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "94  서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "95  서울지방경찰청  02-700-5031  2020-05-31  1320000    경찰청  \n",
       "\n",
       "[96 rows x 25 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 = pd.read_csv(\"output/서초강남무인단속.csv\")\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3[[\"무인교통단속카메라관리번호\",\"위도\",\"경도\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>무인교통단속카메라관리번호</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>F9956</td>\n",
       "      <td>37.474269</td>\n",
       "      <td>126.991028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>F9957</td>\n",
       "      <td>37.457198</td>\n",
       "      <td>127.013242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F9342</td>\n",
       "      <td>37.480058</td>\n",
       "      <td>126.993807</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F9352</td>\n",
       "      <td>37.485751</td>\n",
       "      <td>127.044071</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>F9360</td>\n",
       "      <td>37.511017</td>\n",
       "      <td>127.007223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>F4729</td>\n",
       "      <td>37.488571</td>\n",
       "      <td>127.082170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>F4736</td>\n",
       "      <td>37.524000</td>\n",
       "      <td>127.047768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>F5035</td>\n",
       "      <td>37.487367</td>\n",
       "      <td>127.062321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>F4416</td>\n",
       "      <td>37.488197</td>\n",
       "      <td>127.100312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>F4382</td>\n",
       "      <td>37.498223</td>\n",
       "      <td>126.992399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   무인교통단속카메라관리번호         위도          경도\n",
       "0          F9956  37.474269  126.991028\n",
       "1          F9957  37.457198  127.013242\n",
       "2          F9342  37.480058  126.993807\n",
       "3          F9352  37.485751  127.044071\n",
       "4          F9360  37.511017  127.007223\n",
       "..           ...        ...         ...\n",
       "91         F4729  37.488571  127.082170\n",
       "92         F4736  37.524000  127.047768\n",
       "93         F5035  37.487367  127.062321\n",
       "94         F4416  37.488197  127.100312\n",
       "95         F4382  37.498223  126.992399\n",
       "\n",
       "[96 rows x 3 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-52-9f078b38371f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['sub_cnt']=1\n",
      "<ipython-input-52-9f078b38371f>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['경도'] = data3['경도'].astype(float)\n",
      "<ipython-input-52-9f078b38371f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['위도'] = data3['위도'].astype(float)\n",
      "<ipython-input-52-9f078b38371f>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n"
     ]
    }
   ],
   "source": [
    "data3['sub_cnt']=1\n",
    "data3['경도'] = data3['경도'].astype(float)\n",
    "data3['위도'] = data3['위도'].astype(float)\n",
    "data3['point'] = data3.apply(lambda row : Point([row['경도'], row['위도']]), axis=1)\n",
    "data3 = gpd.GeoDataFrame(data3, geometry='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>무인교통단속카메라관리번호</th>\n",
       "      <th>위도</th>\n",
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       "      <td>POINT (126.99103 37.47427)</td>\n",
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       "      <th>1</th>\n",
       "      <td>F9957</td>\n",
       "      <td>37.457198</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (127.01324 37.45720)</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F9342</td>\n",
       "      <td>37.480058</td>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (126.99381 37.48006)</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F9352</td>\n",
       "      <td>37.485751</td>\n",
       "      <td>127.044071</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04407 37.48575)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>F9360</td>\n",
       "      <td>37.511017</td>\n",
       "      <td>127.007223</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.00722 37.51102)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>F4729</td>\n",
       "      <td>37.488571</td>\n",
       "      <td>127.082170</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.08217 37.48857)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>F4736</td>\n",
       "      <td>37.524000</td>\n",
       "      <td>127.047768</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.04777 37.52400)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>F5035</td>\n",
       "      <td>37.487367</td>\n",
       "      <td>127.062321</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.06232 37.48737)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>F4416</td>\n",
       "      <td>37.488197</td>\n",
       "      <td>127.100312</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (127.10031 37.48820)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>F4382</td>\n",
       "      <td>37.498223</td>\n",
       "      <td>126.992399</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (126.99240 37.49822)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   무인교통단속카메라관리번호         위도          경도  sub_cnt                       point\n",
       "0          F9956  37.474269  126.991028        1  POINT (126.99103 37.47427)\n",
       "1          F9957  37.457198  127.013242        1  POINT (127.01324 37.45720)\n",
       "2          F9342  37.480058  126.993807        1  POINT (126.99381 37.48006)\n",
       "3          F9352  37.485751  127.044071        1  POINT (127.04407 37.48575)\n",
       "4          F9360  37.511017  127.007223        1  POINT (127.00722 37.51102)\n",
       "..           ...        ...         ...      ...                         ...\n",
       "91         F4729  37.488571  127.082170        1  POINT (127.08217 37.48857)\n",
       "92         F4736  37.524000  127.047768        1  POINT (127.04777 37.52400)\n",
       "93         F5035  37.487367  127.062321        1  POINT (127.06232 37.48737)\n",
       "94         F4416  37.488197  127.100312        1  POINT (127.10031 37.48820)\n",
       "95         F4382  37.498223  126.992399        1  POINT (126.99240 37.49822)\n",
       "\n",
       "[96 rows x 5 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 96/96 [00:14<00:00,  6.41it/s]\n"
     ]
    }
   ],
   "source": [
    "gid_list = []\n",
    "for i in tqdm(range(data3.shape[0])):\n",
    "    point = data3['point'].iloc[i]\n",
    "    if data_gid['geometry'].contains(point).sum() == 0:\n",
    "        g1 = \"Na\"\n",
    "    else :\n",
    "        g = data_gid['gid'].loc[data_gid['geometry'].contains(point)]\n",
    "        g1 = g.iloc[0]\n",
    "    gid_list.append(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3['gid'] = gid_list\n",
    "data3['TL_cnt']=1\n",
    "result3 = data3[['TL_cnt', 'gid']].groupby(['gid']).sum()\n",
    "result3.reset_index(inplace=True)\n",
    "data3 =result3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gid</th>\n",
       "      <th>TL_cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>다사542430</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>다사542436</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>다사543443</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>다사546413</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>다사546431</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>다사647407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>다사651418</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>다사652406</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>다사653419</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>다사654417</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>94 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         gid  TL_cnt\n",
       "0   다사542430       1\n",
       "1   다사542436       1\n",
       "2   다사543443       1\n",
       "3   다사546413       1\n",
       "4   다사546431       1\n",
       "..       ...     ...\n",
       "89  다사647407       1\n",
       "90  다사651418       1\n",
       "91  다사652406       1\n",
       "92  다사653419       1\n",
       "93  다사654417       1\n",
       "\n",
       "[94 rows x 2 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.to_csv(\"output/그리드 전처리 완료/서초강남무인교통단속카메라전처리완료.csv\")"
   ]
  }
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