output_null.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "14474ba9-dfba-4639-b264-bf2279609d23",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b2ef56d8-c214-42b7-9943-309d59b65514",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('ozel/scores.dat', sep=' ', header=3, names=['mag', 'aspin', 'inc', 'Rhigh', 'score'])\n",
    "df2 = pd.read_csv('cache/Illinois_thermal_w3/null.tsv', sep='\\t')\n",
    "df3 = pd.read_csv('cache/Illinois_thermal_w4/null.tsv', sep='\\t')\n",
    "df4 = pd.read_csv('cache/Illinois_thermal_w5/null.tsv', sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "aec7a96f-9053-4a5d-8c57-6a97de7bc26e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df12 = pd.merge(df1, df2, on=['mag', 'aspin', 'Rhigh', 'inc'])\n",
    "df13 = pd.merge(df1, df3, on=['mag', 'aspin', 'Rhigh', 'inc'])\n",
    "df14 = pd.merge(df1, df4, on=['mag', 'aspin', 'Rhigh', 'inc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ad1d82e1-824b-438a-94ab-b52005cf842c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'new')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y = np.maximum(df12.score_y, df12.score_y)\n",
    "\n",
    "plt.scatter(df12.score_x, Y)\n",
    "plt.gca().set_aspect('equal')\n",
    "plt.xlabel('ozel')\n",
    "plt.ylabel('new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0beea367-2825-4d33-a6f2-348e91939686",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'new')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y = np.maximum(df13.score_y, df13.score_y)\n",
    "\n",
    "plt.scatter(df13.score_x, Y)\n",
    "plt.gca().set_aspect('equal')\n",
    "plt.xlabel('ozel')\n",
    "plt.ylabel('new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "656986d4-06a0-4401-bb3b-19fde4bf94a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'new')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y = np.maximum(df14.score_y, df14.score_y)\n",
    "\n",
    "plt.scatter(df14.score_x, Y)\n",
    "plt.gca().set_aspect('equal')\n",
    "plt.xlabel('ozel')\n",
    "plt.ylabel('new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "55d78212-4ccf-4071-9bf5-1a4ce6be5f08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'new')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y = np.maximum(np.maximum(df12.score_y, df13.score_y), df14.score_y)\n",
    "\n",
    "plt.scatter(df13.score_x, Y)\n",
    "plt.gca().set_aspect('equal')\n",
    "plt.xlabel('ozel')\n",
    "plt.ylabel('new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96a663c7-aa50-43fa-8833-d0b996028db2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}