Examples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using solarlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T06:57:42.864211Z",
     "start_time": "2021-02-21T06:57:42.861210Z"
    }
   },
   "outputs": [],
   "source": [
    "from solarlib.location import Location\n",
    "import datetime\n",
    "import pytz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define a location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T06:57:15.310798Z",
     "start_time": "2021-02-21T06:57:15.308798Z"
    }
   },
   "outputs": [],
   "source": [
    "latitude = -31.9505\n",
    "longitude = 115.8605\n",
    "timezone = 'Australia/Perth'\n",
    "perth = Location(latitude,longitude,timezone)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T06:58:39.006792Z",
     "start_time": "2021-02-21T06:58:39.003791Z"
    }
   },
   "source": [
    "## Sunrise\n",
    "The output is a python datetime object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T07:05:29.130067Z",
     "start_time": "2021-02-21T07:05:29.127067Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-06-27 07:17:33.495057+08:00\n"
     ]
    }
   ],
   "source": [
    "print(perth.sunrise('2020-06-27'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sunset\n",
    "The output is a python datetime object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T06:59:27.398504Z",
     "start_time": "2021-02-21T06:59:27.395502Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-06-27 17:21:50.791503+08:00\n"
     ]
    }
   ],
   "source": [
    "print(perth.sunset('2020-06-27'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Day length\n",
    "The output is a python timedelta object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T07:00:03.861630Z",
     "start_time": "2021-02-21T07:00:03.857624Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10:04:17.296446\n"
     ]
    }
   ],
   "source": [
    "print(perth.day_length('2020-06-27'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solar irradiance\n",
    "The output is irradiance in $kW/m^2$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T07:00:51.740736Z",
     "start_time": "2021-02-21T07:00:51.735734Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7360521598862617"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perth.solar_irradiance('2020-06-27 14:27:00')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Irradiance throughout a day\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T07:08:04.096221Z",
     "start_time": "2021-02-21T07:08:04.094221Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-21T07:08:21.739676Z",
     "start_time": "2021-02-21T07:08:21.637643Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2205affbfd0>]"
      ]
     },
     "execution_count": 22,
     "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": [
    "output = perth.daily_irradiance('2020-06-27')\n",
    "time, irradiance = list(zip(*output))\n",
    "plt.plot(time,irradiance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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