Canada_agriculture_regions.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import geopandas as gpd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "#from mpl_toolkits.axes_grid1 import make_axes_locatable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.20.2'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check np version\n",
    "np.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weather Stations from Canada (from weatherstats.ca)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "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>Station Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Elevation</th>\n",
       "      <th>IATA</th>\n",
       "      <th>WMO ID</th>\n",
       "      <th>Climate ID</th>\n",
       "      <th>Starting Date (hourly data)</th>\n",
       "      <th>Ending Date (hourly data)</th>\n",
       "      <th>Starting Date (daily data)</th>\n",
       "      <th>Ending Date (daily data)</th>\n",
       "      <th>Associated Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(AE) BOW SUMMIT</td>\n",
       "      <td>51.70</td>\n",
       "      <td>-116.47</td>\n",
       "      <td>2080 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3050PPF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1998-02-01</td>\n",
       "      <td>2007-11-01</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.30</td>\n",
       "      <td>1059 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1999-11-01</td>\n",
       "      <td>100 Mile House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.27</td>\n",
       "      <td>930 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095790</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1957-06-01</td>\n",
       "      <td>1959-08-01</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100 MILE HOUSE 6NE</td>\n",
       "      <td>51.68</td>\n",
       "      <td>-121.22</td>\n",
       "      <td>928 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987-06-01</td>\n",
       "      <td>+</td>\n",
       "      <td>100 Mile House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>108 MILE HOUSE</td>\n",
       "      <td>51.75</td>\n",
       "      <td>-121.33</td>\n",
       "      <td>957 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1973-07-01</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9455</th>\n",
       "      <td>ZELMA</td>\n",
       "      <td>51.80</td>\n",
       "      <td>-105.93</td>\n",
       "      <td>541 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4059220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1981-06-01</td>\n",
       "      <td>1989-11-01</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9456</th>\n",
       "      <td>ZHODA</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-96.52</td>\n",
       "      <td>305 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5023370</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1980-11-01</td>\n",
       "      <td>2000-06-01</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9457</th>\n",
       "      <td>ZURICH</td>\n",
       "      <td>43.40</td>\n",
       "      <td>-81.60</td>\n",
       "      <td>257 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6129850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1881-07-01</td>\n",
       "      <td>1898-09-01</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9458</th>\n",
       "      <td>ZWEIBRUCKEN A GERMANY</td>\n",
       "      <td>49.22</td>\n",
       "      <td>-7.42</td>\n",
       "      <td>337 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9032000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9459</th>\n",
       "      <td>The historical weather data, forecast and curr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9460 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Station Name  Latitude  Longitude  \\\n",
       "0                                       (AE) BOW SUMMIT     51.70    -116.47   \n",
       "1                                        100 MILE HOUSE     51.65    -121.30   \n",
       "2                                        100 MILE HOUSE     51.65    -121.27   \n",
       "3                                    100 MILE HOUSE 6NE     51.68    -121.22   \n",
       "4                                        108 MILE HOUSE     51.75    -121.33   \n",
       "...                                                 ...       ...        ...   \n",
       "9455                                              ZELMA     51.80    -105.93   \n",
       "9456                                              ZHODA     49.25     -96.52   \n",
       "9457                                             ZURICH     43.40     -81.60   \n",
       "9458                              ZWEIBRUCKEN A GERMANY     49.22      -7.42   \n",
       "9459  The historical weather data, forecast and curr...       NaN        NaN   \n",
       "\n",
       "     Elevation IATA  WMO ID Climate ID Starting Date (hourly data)  \\\n",
       "0       2080 m  NaN     NaN    3050PPF                         NaN   \n",
       "1       1059 m  NaN     NaN    1165791                         NaN   \n",
       "2        930 m  NaN     NaN    1095790                         NaN   \n",
       "3        928 m  NaN     NaN    1165793                         NaN   \n",
       "4        957 m  NaN     NaN    1095796                         NaN   \n",
       "...        ...  ...     ...        ...                         ...   \n",
       "9455     541 m  NaN     NaN    4059220                         NaN   \n",
       "9456     305 m  NaN     NaN    5023370                         NaN   \n",
       "9457     257 m  NaN     NaN    6129850                         NaN   \n",
       "9458     337 m  NaN     NaN    9032000                         NaN   \n",
       "9459       NaN  NaN     NaN        NaN                         NaN   \n",
       "\n",
       "     Ending Date (hourly data) Starting Date (daily data)  \\\n",
       "0                          NaN                 1998-02-01   \n",
       "1                          NaN                 1970-05-01   \n",
       "2                          NaN                 1957-06-01   \n",
       "3                          NaN                 1987-06-01   \n",
       "4                          NaN                 1970-05-01   \n",
       "...                        ...                        ...   \n",
       "9455                       NaN                 1981-06-01   \n",
       "9456                       NaN                 1980-11-01   \n",
       "9457                       NaN                 1881-07-01   \n",
       "9458                       NaN                        NaN   \n",
       "9459                       NaN                        NaN   \n",
       "\n",
       "     Ending Date (daily data) Associated Location  \n",
       "0                  2007-11-01                 NaN  \n",
       "1                  1999-11-01      100 Mile House  \n",
       "2                  1959-08-01                 NaN  \n",
       "3                           +      100 Mile House  \n",
       "4                  1973-07-01                 NaN  \n",
       "...                       ...                 ...  \n",
       "9455               1989-11-01                 NaN  \n",
       "9456               2000-06-01                 NaN  \n",
       "9457               1898-09-01                 NaN  \n",
       "9458                      NaN                 NaN  \n",
       "9459                      NaN                 NaN  \n",
       "\n",
       "[9460 rows x 12 columns]"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### get weather statiosn with LONG and LAT from weatherstats.ca\n",
    "canada_ws_weatherstats = pd.read_csv(\"data/Weather_stations_canada_from_weatherstats_ca.csv\")\n",
    "canada_ws_weatherstats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Canada Agricultural Regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>CARUID</th>\n",
       "      <th>CARENAME</th>\n",
       "      <th>CARFNAME</th>\n",
       "      <th>PRUID</th>\n",
       "      <th>PRNAME</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1205</td>\n",
       "      <td>Agricultural Region 5</td>\n",
       "      <td>Région agricole 5</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((8525489.391 1790548.500, 8525639.114...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1301</td>\n",
       "      <td>Agricultural Region 1</td>\n",
       "      <td>Région agricole 1</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((7998578.391 1612051.631, 7998668.814...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1302</td>\n",
       "      <td>Agricultural Region 2</td>\n",
       "      <td>Région agricole 2</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((8204574.134 1544487.454, 8208027.917...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1303</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((8217369.071 1620627.260, 8217713.531...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1304</td>\n",
       "      <td>Agricultural Region 4</td>\n",
       "      <td>Région agricole 4</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((8188457.820 1707919.583, 8188444.194...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1103</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>11</td>\n",
       "      <td>Prince Edward Island / Île-du-Prince-Édouard</td>\n",
       "      <td>POLYGON ((8294354.734 1636914.940, 8296485.909...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>1201</td>\n",
       "      <td>Agricultural Region 1</td>\n",
       "      <td>Région agricole 1</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((8362506.940 1428541.960, 8367260.740...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>1202</td>\n",
       "      <td>Agricultural Region 2</td>\n",
       "      <td>Région agricole 2</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((8389627.240 1508346.011, 8390011.831...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1203</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>MULTIPOLYGON (((8381659.560 1574688.929, 83836...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1204</td>\n",
       "      <td>Agricultural Region 4</td>\n",
       "      <td>Région agricole 4</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((8494876.626 1635345.826, 8494939.046...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CARUID               CARENAME           CARFNAME PRUID  \\\n",
       "0    1205  Agricultural Region 5  Région agricole 5    12   \n",
       "1    1301  Agricultural Region 1  Région agricole 1    13   \n",
       "2    1302  Agricultural Region 2  Région agricole 2    13   \n",
       "3    1303  Agricultural Region 3  Région agricole 3    13   \n",
       "4    1304  Agricultural Region 4  Région agricole 4    13   \n",
       "..    ...                    ...                ...   ...   \n",
       "67   1103  Agricultural Region 3  Région agricole 3    11   \n",
       "68   1201  Agricultural Region 1  Région agricole 1    12   \n",
       "69   1202  Agricultural Region 2  Région agricole 2    12   \n",
       "70   1203  Agricultural Region 3  Région agricole 3    12   \n",
       "71   1204  Agricultural Region 4  Région agricole 4    12   \n",
       "\n",
       "                                          PRNAME  \\\n",
       "0                  Nova Scotia / Nouvelle-Écosse   \n",
       "1              New Brunswick / Nouveau-Brunswick   \n",
       "2              New Brunswick / Nouveau-Brunswick   \n",
       "3              New Brunswick / Nouveau-Brunswick   \n",
       "4              New Brunswick / Nouveau-Brunswick   \n",
       "..                                           ...   \n",
       "67  Prince Edward Island / Île-du-Prince-Édouard   \n",
       "68                 Nova Scotia / Nouvelle-Écosse   \n",
       "69                 Nova Scotia / Nouvelle-Écosse   \n",
       "70                 Nova Scotia / Nouvelle-Écosse   \n",
       "71                 Nova Scotia / Nouvelle-Écosse   \n",
       "\n",
       "                                             geometry  \n",
       "0   POLYGON ((8525489.391 1790548.500, 8525639.114...  \n",
       "1   POLYGON ((7998578.391 1612051.631, 7998668.814...  \n",
       "2   POLYGON ((8204574.134 1544487.454, 8208027.917...  \n",
       "3   POLYGON ((8217369.071 1620627.260, 8217713.531...  \n",
       "4   POLYGON ((8188457.820 1707919.583, 8188444.194...  \n",
       "..                                                ...  \n",
       "67  POLYGON ((8294354.734 1636914.940, 8296485.909...  \n",
       "68  POLYGON ((8362506.940 1428541.960, 8367260.740...  \n",
       "69  POLYGON ((8389627.240 1508346.011, 8390011.831...  \n",
       "70  MULTIPOLYGON (((8381659.560 1574688.929, 83836...  \n",
       "71  POLYGON ((8494876.626 1635345.826, 8494939.046...  \n",
       "\n",
       "[72 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get Canadas agricultural regions Boundary file (as shape file)\n",
    "car = gpd.read_file(\"data/lcar000a16a_e.shp\")\n",
    "car"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "car.plot(column='PRNAME', ax=ax, legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(3991663.9685700014, 2528376.828570001),\n",
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       " (3993860.6999999993, 2527994.1514299996),\n",
       " (3994144.762855001, 2528723.7028549984),\n",
       " (3997552.237144999, 2528721.671429999),\n",
       " (3997836.2828550003, 2528072.342854999),\n",
       " (3997349.8257150017, 2527138.9142850004),\n",
       " (3997390.605714999, 2526083.81143),\n",
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       " (3997081.5085700005, 2525077.1914299987),\n",
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       " (3997090.2228550017, 2525021.2714300007),\n",
       " (3997088.68857, 2525014.2714300007),\n",
       " (3996824.974284999, 2523810.4800000004),\n",
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       " (3999621.0628550015, 2516322.379999999),\n",
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       " (3995566.8542850018, 2503611.579999998),\n",
       " (3998106.0599999987, 2504177.7171449997),\n",
       " (3998432.4371449985, 2503722.3057149984),\n",
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       " (4003779.5971449986, 2502475.5),\n",
       " (4005093.462855, 2502057.7457149997),\n",
       " (4005410.2228550017, 2501417.1657150015),\n",
       " (4005400.920000002, 2501280.565715),\n",
       " (4005407.214285001, 2501269.802855),\n",
       " (4005714.02857, 2500745.214285001),\n",
       " (4005339.7542850003, 2500017.014284998),\n",
       " (4005436.3371450007, 2499082.1028550006),\n",
       " (4005348.4400000013, 2498156.7314300016),\n",
       " (4005330.4542849995, 2497272.6999999993),\n",
       " (4005045.4685700014, 2496302.814284999),\n",
       " (4004526.1000000015, 2494592.002854999),\n",
       " (4004432.7600000016, 2494493.697145),\n",
       " (4004094.342854999, 2494137.2885700017),\n",
       " (4002919.997145001, 2492588.6999999993),\n",
       " (4002686.039999999, 2491488.434285),\n",
       " (4002380.5885699987, 2491103.7399999984),\n",
       " (4002241.66, 2490928.9285699986),\n",
       " (4001841.8542850018, 2490274.382855002),\n",
       " (4001664.0599999987, 2490090.1285700016),\n",
       " (4001682.8571450002, 2489996.780000001),\n",
       " (4003215.4400000013, 2489088.5714300014),\n",
       " (4003224.0628550015, 2489032.4514300004),\n",
       " (4003377.2971450016, 2488035.29143),\n",
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       " (4004958.8742850013, 2486979.525715001),\n",
       " (4005323.8342849985, 2487668.460000001),\n",
       " (4006065.448569998, 2487297.0628550015),\n",
       " (4006459.328570001, 2487099.8057149984),\n",
       " (4007148.7342850007, 2487585.9142850004),\n",
       " (4007158.3599999994, 2487583.8914300017),\n",
       " (4008113.84, 2487908.7285699993),\n",
       " (4008683.2228550017, 2487920.5),\n",
       " (4009717.8914300017, 2488238.037145),\n",
       " (4010342.3714299984, 2488139.525715001),\n",
       " (4011034.2028549984, 2488243.0485699996),\n",
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       " (4056099.4942849986, 2181986.351429999),\n",
       " (4056141.2457149997, 2181266.448569998),\n",
       " (4056468.328570001, 2180747.565715),\n",
       " (4056619.0599999987, 2180508.445714999),\n",
       " (4056508.7685699984, 2179117.0971449986),\n",
       " (4056107.7428550012, 2177999.154284999),\n",
       " (4055360.5428549983, 2178151.2571449988),\n",
       " (4054205.171429999, 2177694.2399999984),\n",
       " (4052821.4771450013, 2177261.3999999985),\n",
       " (4052226.5857149996, 2176548.377145),\n",
       " (4051368.725715, 2176046.422855001),\n",
       " (4050496.6914299987, 2175907.182854999),\n",
       " ...]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# coordinates for the polygon (of each region)\n",
    "# units are not degrees\n",
    "list(car[\"geometry\"][51].exterior.coords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Projected CRS: PROJCS[\"PCS_Lambert_Conformal_Conic\",GEOGCS[\"NAD83 ...>\n",
       "Name: PCS_Lambert_Conformal_Conic\n",
       "Axis Info [cartesian]:\n",
       "- [east]: Easting (metre)\n",
       "- [north]: Northing (metre)\n",
       "Area of Use:\n",
       "- undefined\n",
       "Coordinate Operation:\n",
       "- name: unnamed\n",
       "- method: Lambert Conic Conformal (2SP)\n",
       "Datum: North American Datum 1983\n",
       "- Ellipsoid: GRS 1980\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check Coordinate Reference system used in the Boundary File (as Shape file)\n",
    "# This tells us the name of the CRS and the units for it \n",
    "car.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATUM[\"North American Datum 1983\",\n",
       "    ELLIPSOID[\"GRS 1980\",6378137,298.257222101,\n",
       "        LENGTHUNIT[\"metre\",1]],\n",
       "    ID[\"EPSG\",6269]]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# more details about the CRS\n",
    "car.crs.datum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert CRS from PCS_LCC to EPSG=4326 that handles the coordinates in degrees\n",
    "car = car.to_crs(epsg=4326)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " (-124.05068752470467, 50.95526054221241),\n",
       " (-124.04579153783591, 50.95143778474343),\n",
       " (-124.04541591595472, 50.946527253823724),\n",
       " (-124.04216754292902, 50.9426226409174),\n",
       " (-124.03226156377238, 50.944336782058116),\n",
       " (-124.03205184186307, 50.94525155485433),\n",
       " (-124.02970501670642, 50.944777584588266),\n",
       " (-124.02769647359649, 50.94437187888973),\n",
       " (-124.00224901633226, 50.958171766771926),\n",
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       " (-124.00087302448034, 50.964303455076454),\n",
       " (-123.99579815671859, 50.962711443561986),\n",
       " (-123.98402188904586, 50.962660742306994),\n",
       " (-123.98271462485545, 50.96265502580034),\n",
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       " (-123.9518508982013, 50.95000689562966),\n",
       " (-123.94344192820168, 50.94634474144257),\n",
       " (-123.93665514805528, 50.93618494681927),\n",
       " (-123.91648448829137, 50.93694019109386),\n",
       " (-123.9198650714485, 50.942005766013715),\n",
       " (-123.90979057744951, 50.94418717615792),\n",
       " (-123.8942085506693, 50.94005205557955),\n",
       " (-123.88855252742533, 50.944314071636065),\n",
       " (-123.88187565261464, 50.948600855434826),\n",
       " (-123.87485712820137, 50.95070454888219),\n",
       " (-123.87413014370155, 50.945685447892004),\n",
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       " (-123.82724221838079, 50.924093902424204),\n",
       " (-123.83510537918285, 50.912792355309215),\n",
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       " (-123.82355681570333, 50.90428795242487),\n",
       " (-123.80459000264865, 50.91118003413914),\n",
       " (-123.79006579949834, 50.910616905439404),\n",
       " (-123.77982256228346, 50.90659803023237),\n",
       " (-123.76578886101444, 50.910790168207846),\n",
       " (-123.75870693272863, 50.905017446738086),\n",
       " (-123.76136420343585, 50.888295987638514),\n",
       " (-123.75821747489753, 50.88346399305969),\n",
       " (-123.74606044567435, 50.87279042191823),\n",
       " (-123.73819219093747, 50.87552389186434),\n",
       " (-123.72764812406199, 50.87624089796601),\n",
       " (-123.71823179450031, 50.87126952196571),\n",
       " (-123.71761931833369, 50.85119669644887),\n",
       " (-123.71402467142465, 50.8487702036656),\n",
       " (-123.71951609558387, 50.84832936729403),\n",
       " (-123.72624069798924, 50.84464942094631),\n",
       " (-123.72950828236216, 50.84286088186312),\n",
       " (-123.73126570679864, 50.84392472980765),\n",
       " (-123.74317899089266, 50.84407220538194),\n",
       " (-123.76947251676577, 50.84083657621971),\n",
       " (-123.78296196289497, 50.8355778934432),\n",
       " (-123.79530284089311, 50.83368093867867),\n",
       " (-123.80977398466008, 50.837364522217115),\n",
       " (-123.82350806969042, 50.83980284616927),\n",
       " (-123.82729071837655, 50.8372710354527),\n",
       " (-123.82871162057383, 50.828770455518836),\n",
       " (-123.82323535040875, 50.82324280874116),\n",
       " (-123.81557057434092, 50.82055250303858),\n",
       " (-123.81203871501455, 50.819312523072504),\n",
       " (-123.8038539520219, 50.80779597430484),\n",
       " (-123.80119101864257, 50.79718197584961),\n",
       " (-123.81158725734063, 50.79513417613988),\n",
       " (-123.82290207983293, 50.786476307499846),\n",
       " (-123.83723359807054, 50.777013943427065),\n",
       " (-123.83977073702013, 50.76876743785978),\n",
       " (-123.84704458697529, 50.761048054082444),\n",
       " (-123.85698623297904, 50.75614182977863),\n",
       " ...]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Coordinates are now in degrees\n",
    "list(car[\"geometry\"][51].exterior.coords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "car.plot(column='PRNAME', ax=ax, legend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CANADA Agricultural Regions as Polygons or Multipolygons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "True\n"
     ]
    },
    {
     "data": {
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-66.6772467619411,54.8908466729527 L -66.66962466744124,54.88652968928987 L -66.6636073007014,54.88197890907318 L -66.65896718913392,54.87651992625505 L -66.65623591523898,54.870901228266014 L -66.65572819686231,54.868113489500196 L -66.65458277229169,54.861822928855005 L -66.65113736219422,54.857684635198545 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x2376590d8e0>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# index 6 in the geodataframe is Muultiploygon and has 3 polygons in the Multipolygon\n",
    "print(len(car[\"geometry\"][6]))\n",
    "print(car[\"geometry\"][6].type==\"MultiPolygon\")\n",
    "#print the second polygon in the multipolygon\n",
    "car[car.geometry.type == 'MultiPolygon'][\"geometry\"][6][2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "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>CARUID</th>\n",
       "      <th>CARENAME</th>\n",
       "      <th>CARFNAME</th>\n",
       "      <th>PRUID</th>\n",
       "      <th>PRNAME</th>\n",
       "      <th>geometry</th>\n",
       "      <th>geomlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1205</td>\n",
       "      <td>Agricultural Region 5</td>\n",
       "      <td>Région agricole 5</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-60.28743 46.95897, -60.28755 46.956...</td>\n",
       "      <td>[(-60.28743050678502, 46.95897149191208), (-60...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1301</td>\n",
       "      <td>Agricultural Region 1</td>\n",
       "      <td>Région agricole 1</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-67.53995 47.51932, -67.53887 47.518...</td>\n",
       "      <td>[(-67.53994752125321, 47.51931538198112), (-67...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1302</td>\n",
       "      <td>Agricultural Region 2</td>\n",
       "      <td>Région agricole 2</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-65.41281 46.25007, -65.39250 46.205...</td>\n",
       "      <td>[(-65.41281056918068, 46.250072799775374), (-6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1303</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-64.86127 46.82258, -64.86354 46.811...</td>\n",
       "      <td>[(-64.86126550594918, 46.82258281669579), (-64...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1304</td>\n",
       "      <td>Agricultural Region 4</td>\n",
       "      <td>Région agricole 4</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-64.73403 47.63917, -64.74087 47.629...</td>\n",
       "      <td>[(-64.73402660869816, 47.639170234804276), (-6...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1103</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>11</td>\n",
       "      <td>Prince Edward Island / Île-du-Prince-Édouard</td>\n",
       "      <td>POLYGON ((-63.86653 46.66687, -63.84550 46.653...</td>\n",
       "      <td>[(-63.86652537666586, 46.66686790026586), (-63...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>1201</td>\n",
       "      <td>Agricultural Region 1</td>\n",
       "      <td>Région agricole 1</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-64.20287 44.73618, -64.15867 44.704...</td>\n",
       "      <td>[(-64.20286763918794, 44.736175143441145), (-6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>1202</td>\n",
       "      <td>Agricultural Region 2</td>\n",
       "      <td>Région agricole 2</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-63.47271 45.27226, -63.46849 45.270...</td>\n",
       "      <td>[(-63.47270903948764, 45.27225671811146), (-63...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1203</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>MULTIPOLYGON (((-63.20024 45.83292, -63.18755 ...</td>\n",
       "      <td>[[(-63.20024334839237, 45.83291801974966), (-6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1204</td>\n",
       "      <td>Agricultural Region 4</td>\n",
       "      <td>Région agricole 4</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-61.56912 45.86523, -61.56870 45.864...</td>\n",
       "      <td>[(-61.56911747015554, 45.86523122352004), (-61...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CARUID               CARENAME           CARFNAME PRUID  \\\n",
       "0    1205  Agricultural Region 5  Région agricole 5    12   \n",
       "1    1301  Agricultural Region 1  Région agricole 1    13   \n",
       "2    1302  Agricultural Region 2  Région agricole 2    13   \n",
       "3    1303  Agricultural Region 3  Région agricole 3    13   \n",
       "4    1304  Agricultural Region 4  Région agricole 4    13   \n",
       "..    ...                    ...                ...   ...   \n",
       "67   1103  Agricultural Region 3  Région agricole 3    11   \n",
       "68   1201  Agricultural Region 1  Région agricole 1    12   \n",
       "69   1202  Agricultural Region 2  Région agricole 2    12   \n",
       "70   1203  Agricultural Region 3  Région agricole 3    12   \n",
       "71   1204  Agricultural Region 4  Région agricole 4    12   \n",
       "\n",
       "                                          PRNAME  \\\n",
       "0                  Nova Scotia / Nouvelle-Écosse   \n",
       "1              New Brunswick / Nouveau-Brunswick   \n",
       "2              New Brunswick / Nouveau-Brunswick   \n",
       "3              New Brunswick / Nouveau-Brunswick   \n",
       "4              New Brunswick / Nouveau-Brunswick   \n",
       "..                                           ...   \n",
       "67  Prince Edward Island / Île-du-Prince-Édouard   \n",
       "68                 Nova Scotia / Nouvelle-Écosse   \n",
       "69                 Nova Scotia / Nouvelle-Écosse   \n",
       "70                 Nova Scotia / Nouvelle-Écosse   \n",
       "71                 Nova Scotia / Nouvelle-Écosse   \n",
       "\n",
       "                                             geometry  \\\n",
       "0   POLYGON ((-60.28743 46.95897, -60.28755 46.956...   \n",
       "1   POLYGON ((-67.53995 47.51932, -67.53887 47.518...   \n",
       "2   POLYGON ((-65.41281 46.25007, -65.39250 46.205...   \n",
       "3   POLYGON ((-64.86127 46.82258, -64.86354 46.811...   \n",
       "4   POLYGON ((-64.73403 47.63917, -64.74087 47.629...   \n",
       "..                                                ...   \n",
       "67  POLYGON ((-63.86653 46.66687, -63.84550 46.653...   \n",
       "68  POLYGON ((-64.20287 44.73618, -64.15867 44.704...   \n",
       "69  POLYGON ((-63.47271 45.27226, -63.46849 45.270...   \n",
       "70  MULTIPOLYGON (((-63.20024 45.83292, -63.18755 ...   \n",
       "71  POLYGON ((-61.56912 45.86523, -61.56870 45.864...   \n",
       "\n",
       "                                             geomlist  \n",
       "0   [(-60.28743050678502, 46.95897149191208), (-60...  \n",
       "1   [(-67.53994752125321, 47.51931538198112), (-67...  \n",
       "2   [(-65.41281056918068, 46.250072799775374), (-6...  \n",
       "3   [(-64.86126550594918, 46.82258281669579), (-64...  \n",
       "4   [(-64.73402660869816, 47.639170234804276), (-6...  \n",
       "..                                                ...  \n",
       "67  [(-63.86652537666586, 46.66686790026586), (-63...  \n",
       "68  [(-64.20286763918794, 44.736175143441145), (-6...  \n",
       "69  [(-63.47270903948764, 45.27225671811146), (-63...  \n",
       "70  [[(-63.20024334839237, 45.83291801974966), (-6...  \n",
       "71  [(-61.56911747015554, 45.86523122352004), (-61...  \n",
       "\n",
       "[72 rows x 7 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the exterior coordinates on the polygon OR Multiplygon (as a list)\n",
    "car['geomlist']=\"\"\n",
    "for x, i in enumerate(car[\"geometry\"]):\n",
    "    #check of its Multiplygon (These are lists of polygons)\n",
    "    if car[\"geometry\"][x].type==\"MultiPolygon\":\n",
    "        list_ext_coord = []\n",
    "        for k in range(0,len(car[\"geometry\"][x])):\n",
    "            list_ext_coord.append(list(car[\"geometry\"][x][k].exterior.coords))\n",
    "        car.at[x,'geomlist'] = list_ext_coord\n",
    "    # For Polygons only\n",
    "    else:\n",
    "        car.at[x,'geomlist'] = list(car[\"geometry\"][x].exterior.coords)\n",
    "car"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(-127.22423203552442, 53.25025901436753),\n",
       " (-127.20147361017392, 53.24941367475886),\n",
       " (-127.20059107409728, 53.250272687257414),\n",
       " (-127.19279546673117, 53.257858329923664),\n",
       " (-127.19497441613383, 53.26487475315442),\n",
       " (-127.15091733677556, 53.2812299498579),\n",
       " (-127.14204294371694, 53.27756156813607),\n",
       " (-127.14085695678047, 53.26799218723413),\n",
       " (-127.13188323203593, 53.26001063048883),\n",
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       " (-123.76947251676577, 50.84083657621971),\n",
       " (-123.78296196289497, 50.8355778934432),\n",
       " (-123.79530284089311, 50.83368093867867),\n",
       " (-123.80977398466008, 50.837364522217115),\n",
       " (-123.82350806969042, 50.83980284616927),\n",
       " (-123.82729071837655, 50.8372710354527),\n",
       " (-123.82871162057383, 50.828770455518836),\n",
       " (-123.82323535040875, 50.82324280874116),\n",
       " (-123.81557057434092, 50.82055250303858),\n",
       " (-123.81203871501455, 50.819312523072504),\n",
       " (-123.8038539520219, 50.80779597430484),\n",
       " (-123.80119101864257, 50.79718197584961),\n",
       " (-123.81158725734063, 50.79513417613988),\n",
       " (-123.82290207983293, 50.786476307499846),\n",
       " (-123.83723359807054, 50.777013943427065),\n",
       " (-123.83977073702013, 50.76876743785978),\n",
       " (-123.84704458697529, 50.761048054082444),\n",
       " (-123.85698623297904, 50.75614182977863),\n",
       " ...]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the coodinates\n",
    "car['geomlist'][51]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16,10))\n",
    "car.plot(column='PRNAME', ax=ax, legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['CARUID', 'CARENAME', 'CARFNAME', 'PRUID', 'PRNAME', 'geometry',\n",
       "       'geomlist'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Nova Scotia / Nouvelle-Écosse',\n",
       "       'New Brunswick / Nouveau-Brunswick', 'Quebec / Québec', 'Ontario',\n",
       "       'Manitoba', 'Saskatchewan', 'Alberta',\n",
       "       'British Columbia / Colombie-Britannique', 'Yukon',\n",
       "       'Northwest Territories / Territoires du Nord-Ouest', 'Nunavut',\n",
       "       'Newfoundland and Labrador / Terre-Neuve-et-Labrador',\n",
       "       'Prince Edward Island / Île-du-Prince-Édouard'], dtype=object)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car[\"PRNAME\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "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>CARUID</th>\n",
       "      <th>CARENAME</th>\n",
       "      <th>CARFNAME</th>\n",
       "      <th>PRUID</th>\n",
       "      <th>PRNAME</th>\n",
       "      <th>geometry</th>\n",
       "      <th>geomlist</th>\n",
       "      <th>PROVINCE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1205</td>\n",
       "      <td>Agricultural Region 5</td>\n",
       "      <td>Région agricole 5</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-60.28743 46.95897, -60.28755 46.956...</td>\n",
       "      <td>[(-60.28743050678502, 46.95897149191208), (-60...</td>\n",
       "      <td>NS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1301</td>\n",
       "      <td>Agricultural Region 1</td>\n",
       "      <td>Région agricole 1</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-67.53995 47.51932, -67.53887 47.518...</td>\n",
       "      <td>[(-67.53994752125321, 47.51931538198112), (-67...</td>\n",
       "      <td>NB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1302</td>\n",
       "      <td>Agricultural Region 2</td>\n",
       "      <td>Région agricole 2</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-65.41281 46.25007, -65.39250 46.205...</td>\n",
       "      <td>[(-65.41281056918068, 46.250072799775374), (-6...</td>\n",
       "      <td>NB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1303</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-64.86127 46.82258, -64.86354 46.811...</td>\n",
       "      <td>[(-64.86126550594918, 46.82258281669579), (-64...</td>\n",
       "      <td>NB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1304</td>\n",
       "      <td>Agricultural Region 4</td>\n",
       "      <td>Région agricole 4</td>\n",
       "      <td>13</td>\n",
       "      <td>New Brunswick / Nouveau-Brunswick</td>\n",
       "      <td>POLYGON ((-64.73403 47.63917, -64.74087 47.629...</td>\n",
       "      <td>[(-64.73402660869816, 47.639170234804276), (-6...</td>\n",
       "      <td>NB</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>67</th>\n",
       "      <td>1103</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>11</td>\n",
       "      <td>Prince Edward Island / Île-du-Prince-Édouard</td>\n",
       "      <td>POLYGON ((-63.86653 46.66687, -63.84550 46.653...</td>\n",
       "      <td>[(-63.86652537666586, 46.66686790026586), (-63...</td>\n",
       "      <td>PE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>1201</td>\n",
       "      <td>Agricultural Region 1</td>\n",
       "      <td>Région agricole 1</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-64.20287 44.73618, -64.15867 44.704...</td>\n",
       "      <td>[(-64.20286763918794, 44.736175143441145), (-6...</td>\n",
       "      <td>NS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>1202</td>\n",
       "      <td>Agricultural Region 2</td>\n",
       "      <td>Région agricole 2</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-63.47271 45.27226, -63.46849 45.270...</td>\n",
       "      <td>[(-63.47270903948764, 45.27225671811146), (-63...</td>\n",
       "      <td>NS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1203</td>\n",
       "      <td>Agricultural Region 3</td>\n",
       "      <td>Région agricole 3</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>MULTIPOLYGON (((-63.20024 45.83292, -63.18755 ...</td>\n",
       "      <td>[[(-63.20024334839237, 45.83291801974966), (-6...</td>\n",
       "      <td>NS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1204</td>\n",
       "      <td>Agricultural Region 4</td>\n",
       "      <td>Région agricole 4</td>\n",
       "      <td>12</td>\n",
       "      <td>Nova Scotia / Nouvelle-Écosse</td>\n",
       "      <td>POLYGON ((-61.56912 45.86523, -61.56870 45.864...</td>\n",
       "      <td>[(-61.56911747015554, 45.86523122352004), (-61...</td>\n",
       "      <td>NS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CARUID               CARENAME           CARFNAME PRUID  \\\n",
       "0    1205  Agricultural Region 5  Région agricole 5    12   \n",
       "1    1301  Agricultural Region 1  Région agricole 1    13   \n",
       "2    1302  Agricultural Region 2  Région agricole 2    13   \n",
       "3    1303  Agricultural Region 3  Région agricole 3    13   \n",
       "4    1304  Agricultural Region 4  Région agricole 4    13   \n",
       "..    ...                    ...                ...   ...   \n",
       "67   1103  Agricultural Region 3  Région agricole 3    11   \n",
       "68   1201  Agricultural Region 1  Région agricole 1    12   \n",
       "69   1202  Agricultural Region 2  Région agricole 2    12   \n",
       "70   1203  Agricultural Region 3  Région agricole 3    12   \n",
       "71   1204  Agricultural Region 4  Région agricole 4    12   \n",
       "\n",
       "                                          PRNAME  \\\n",
       "0                  Nova Scotia / Nouvelle-Écosse   \n",
       "1              New Brunswick / Nouveau-Brunswick   \n",
       "2              New Brunswick / Nouveau-Brunswick   \n",
       "3              New Brunswick / Nouveau-Brunswick   \n",
       "4              New Brunswick / Nouveau-Brunswick   \n",
       "..                                           ...   \n",
       "67  Prince Edward Island / Île-du-Prince-Édouard   \n",
       "68                 Nova Scotia / Nouvelle-Écosse   \n",
       "69                 Nova Scotia / Nouvelle-Écosse   \n",
       "70                 Nova Scotia / Nouvelle-Écosse   \n",
       "71                 Nova Scotia / Nouvelle-Écosse   \n",
       "\n",
       "                                             geometry  \\\n",
       "0   POLYGON ((-60.28743 46.95897, -60.28755 46.956...   \n",
       "1   POLYGON ((-67.53995 47.51932, -67.53887 47.518...   \n",
       "2   POLYGON ((-65.41281 46.25007, -65.39250 46.205...   \n",
       "3   POLYGON ((-64.86127 46.82258, -64.86354 46.811...   \n",
       "4   POLYGON ((-64.73403 47.63917, -64.74087 47.629...   \n",
       "..                                                ...   \n",
       "67  POLYGON ((-63.86653 46.66687, -63.84550 46.653...   \n",
       "68  POLYGON ((-64.20287 44.73618, -64.15867 44.704...   \n",
       "69  POLYGON ((-63.47271 45.27226, -63.46849 45.270...   \n",
       "70  MULTIPOLYGON (((-63.20024 45.83292, -63.18755 ...   \n",
       "71  POLYGON ((-61.56912 45.86523, -61.56870 45.864...   \n",
       "\n",
       "                                             geomlist PROVINCE  \n",
       "0   [(-60.28743050678502, 46.95897149191208), (-60...       NS  \n",
       "1   [(-67.53994752125321, 47.51931538198112), (-67...       NB  \n",
       "2   [(-65.41281056918068, 46.250072799775374), (-6...       NB  \n",
       "3   [(-64.86126550594918, 46.82258281669579), (-64...       NB  \n",
       "4   [(-64.73402660869816, 47.639170234804276), (-6...       NB  \n",
       "..                                                ...      ...  \n",
       "67  [(-63.86652537666586, 46.66686790026586), (-63...       PE  \n",
       "68  [(-64.20286763918794, 44.736175143441145), (-6...       NS  \n",
       "69  [(-63.47270903948764, 45.27225671811146), (-63...       NS  \n",
       "70  [[(-63.20024334839237, 45.83291801974966), (-6...       NS  \n",
       "71  [(-61.56911747015554, 45.86523122352004), (-61...       NS  \n",
       "\n",
       "[72 rows x 8 columns]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Assign Province Abbreviations\n",
    "car['PROVINCE']=\"\"\n",
    "for x, i in enumerate(car[\"PRNAME\"]):\n",
    "\n",
    "    if \"Scotia\" in i:\n",
    "        car.at[x,'PROVINCE']=\"NS\"\n",
    "    if \"Brunswick\" in i:\n",
    "        car.at[x,'PROVINCE']=\"NB\"\n",
    "    if \"Quebec\" in i:\n",
    "        car.at[x,'PROVINCE']=\"QC\"\n",
    "    if \"Ontario\" in i:\n",
    "        car.at[x,'PROVINCE']=\"ON\"\n",
    "    if \"Manitoba\" in i:\n",
    "        car.at[x,'PROVINCE']=\"MB\"\n",
    "    if \"Saskatchewan\" in i:\n",
    "        car.at[x,'PROVINCE']=\"SK\"\n",
    "    if \"Alberta\" in i:\n",
    "        car.at[x,'PROVINCE']=\"AB\"\n",
    "    if \"British\" in i:\n",
    "        car.at[x,'PROVINCE']=\"BC\"\n",
    "    if \"Yukon\" in i:\n",
    "        car.at[x,'PROVINCE']=\"YT\"\n",
    "    if \"Northwest\" in i:\n",
    "        car.at[x,'PROVINCE']=\"NT\"\n",
    "    if \"Nunavut\" in i:\n",
    "        car.at[x,'PROVINCE']=\"NU\"\n",
    "    if \"Newfoundland\" in i:\n",
    "        car.at[x,'PROVINCE']=\"NL\"\n",
    "    if \"Prince\" in i:\n",
    "        car.at[x,'PROVINCE']=\"PE\"\n",
    "car"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['NS', 'NB', 'QC', 'ON', 'MB', 'SK', 'AB', 'BC', 'YT', 'NT', 'NU',\n",
       "       'NL', 'PE'], dtype=object)"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car[\"PROVINCE\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mark the Weather stations to ALL CANADA regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Mark the Weather stations to ALL canada regions\n",
    "#### Weather stations dataset contains all the weather stations in canada but not grouped by Province\n",
    "#### so we'll have to loop though all of them to mark the region for each"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Check if a coordinate is in a polygon\n",
    "\n",
    "def point_inside_polygon(lat,lng,poly):\n",
    "    n = len(poly)\n",
    "    inside =False\n",
    "    \n",
    "    p1x,p1y = poly[0]\n",
    "    for i in range(n+1):\n",
    "        p2x,p2y = poly[i % n]\n",
    "        if lat > min(p1y,p2y):\n",
    "            if lat <= max(p1y,p2y):\n",
    "                if lng <= max(p1x,p2x):\n",
    "                    if p1y != p2y:\n",
    "                        xinters = (lat-p1y)*(p2x-p1x)/(p2y-p1y)+p1x\n",
    "                    if p1x == p2x or lng <= xinters:\n",
    "                        inside = not inside\n",
    "        p1x,p1y = p2x,p2y\n",
    "\n",
    "    return inside"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9460 entries, 0 to 9459\n",
      "Data columns (total 13 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   Station Name                 8807 non-null   object \n",
      " 1   Latitude                     8806 non-null   float64\n",
      " 2   Longitude                    8806 non-null   float64\n",
      " 3   Elevation                    8665 non-null   object \n",
      " 4   IATA                         1754 non-null   object \n",
      " 5   WMO ID                       1093 non-null   float64\n",
      " 6   Climate ID                   8806 non-null   object \n",
      " 7   Starting Date (hourly data)  2017 non-null   object \n",
      " 8   Ending Date (hourly data)    2017 non-null   object \n",
      " 9   Starting Date (daily data)   8480 non-null   object \n",
      " 10  Ending Date (daily data)     8480 non-null   object \n",
      " 11  Associated Location          1826 non-null   object \n",
      " 12  Region                       9460 non-null   object \n",
      "dtypes: float64(3), object(10)\n",
      "memory usage: 960.9+ KB\n"
     ]
    }
   ],
   "source": [
    "canada_ws_weatherstats.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>Station Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Elevation</th>\n",
       "      <th>IATA</th>\n",
       "      <th>WMO ID</th>\n",
       "      <th>Climate ID</th>\n",
       "      <th>Starting Date (hourly data)</th>\n",
       "      <th>Ending Date (hourly data)</th>\n",
       "      <th>Starting Date (daily data)</th>\n",
       "      <th>Ending Date (daily data)</th>\n",
       "      <th>Associated Location</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(AE) BOW SUMMIT</td>\n",
       "      <td>51.70</td>\n",
       "      <td>-116.47</td>\n",
       "      <td>2080 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3050PPF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1998-02-01</td>\n",
       "      <td>2007-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.30</td>\n",
       "      <td>1059 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1999-11-01</td>\n",
       "      <td>100 Mile House</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.27</td>\n",
       "      <td>930 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095790</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1957-06-01</td>\n",
       "      <td>1959-08-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100 MILE HOUSE 6NE</td>\n",
       "      <td>51.68</td>\n",
       "      <td>-121.22</td>\n",
       "      <td>928 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987-06-01</td>\n",
       "      <td>+</td>\n",
       "      <td>100 Mile House</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>108 MILE HOUSE</td>\n",
       "      <td>51.75</td>\n",
       "      <td>-121.33</td>\n",
       "      <td>957 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1973-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9455</th>\n",
       "      <td>ZELMA</td>\n",
       "      <td>51.80</td>\n",
       "      <td>-105.93</td>\n",
       "      <td>541 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4059220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1981-06-01</td>\n",
       "      <td>1989-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9456</th>\n",
       "      <td>ZHODA</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-96.52</td>\n",
       "      <td>305 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5023370</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1980-11-01</td>\n",
       "      <td>2000-06-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9457</th>\n",
       "      <td>ZURICH</td>\n",
       "      <td>43.40</td>\n",
       "      <td>-81.60</td>\n",
       "      <td>257 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6129850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1881-07-01</td>\n",
       "      <td>1898-09-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9458</th>\n",
       "      <td>ZWEIBRUCKEN A GERMANY</td>\n",
       "      <td>49.22</td>\n",
       "      <td>-7.42</td>\n",
       "      <td>337 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9032000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9459</th>\n",
       "      <td>The historical weather data, forecast and curr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9460 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Station Name  Latitude  Longitude  \\\n",
       "0                                       (AE) BOW SUMMIT     51.70    -116.47   \n",
       "1                                        100 MILE HOUSE     51.65    -121.30   \n",
       "2                                        100 MILE HOUSE     51.65    -121.27   \n",
       "3                                    100 MILE HOUSE 6NE     51.68    -121.22   \n",
       "4                                        108 MILE HOUSE     51.75    -121.33   \n",
       "...                                                 ...       ...        ...   \n",
       "9455                                              ZELMA     51.80    -105.93   \n",
       "9456                                              ZHODA     49.25     -96.52   \n",
       "9457                                             ZURICH     43.40     -81.60   \n",
       "9458                              ZWEIBRUCKEN A GERMANY     49.22      -7.42   \n",
       "9459  The historical weather data, forecast and curr...       NaN        NaN   \n",
       "\n",
       "     Elevation IATA  WMO ID Climate ID Starting Date (hourly data)  \\\n",
       "0       2080 m  NaN     NaN    3050PPF                         NaN   \n",
       "1       1059 m  NaN     NaN    1165791                         NaN   \n",
       "2        930 m  NaN     NaN    1095790                         NaN   \n",
       "3        928 m  NaN     NaN    1165793                         NaN   \n",
       "4        957 m  NaN     NaN    1095796                         NaN   \n",
       "...        ...  ...     ...        ...                         ...   \n",
       "9455     541 m  NaN     NaN    4059220                         NaN   \n",
       "9456     305 m  NaN     NaN    5023370                         NaN   \n",
       "9457     257 m  NaN     NaN    6129850                         NaN   \n",
       "9458     337 m  NaN     NaN    9032000                         NaN   \n",
       "9459       NaN  NaN     NaN        NaN                         NaN   \n",
       "\n",
       "     Ending Date (hourly data) Starting Date (daily data)  \\\n",
       "0                          NaN                 1998-02-01   \n",
       "1                          NaN                 1970-05-01   \n",
       "2                          NaN                 1957-06-01   \n",
       "3                          NaN                 1987-06-01   \n",
       "4                          NaN                 1970-05-01   \n",
       "...                        ...                        ...   \n",
       "9455                       NaN                 1981-06-01   \n",
       "9456                       NaN                 1980-11-01   \n",
       "9457                       NaN                 1881-07-01   \n",
       "9458                       NaN                        NaN   \n",
       "9459                       NaN                        NaN   \n",
       "\n",
       "     Ending Date (daily data) Associated Location Region  \n",
       "0                  2007-11-01                 NaN         \n",
       "1                  1999-11-01      100 Mile House         \n",
       "2                  1959-08-01                 NaN         \n",
       "3                           +      100 Mile House         \n",
       "4                  1973-07-01                 NaN         \n",
       "...                       ...                 ...    ...  \n",
       "9455               1989-11-01                 NaN         \n",
       "9456               2000-06-01                 NaN         \n",
       "9457               1898-09-01                 NaN         \n",
       "9458                      NaN                 NaN         \n",
       "9459                      NaN                 NaN         \n",
       "\n",
       "[9460 rows x 13 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "canada_ws_weatherstats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "9460it [1:03:15,  2.49it/s]\n"
     ]
    }
   ],
   "source": [
    "## Loop through all Canada regions and than mark the region in the weather station with the region it belongs\n",
    "from tqdm import tqdm\n",
    "## NOTE: Will run for an HOUR\n",
    "## code needs to be optimized\n",
    "canada_ws_weatherstats[\"Region\"]=\"\"\n",
    "for x, i in tqdm(enumerate(canada_ws_weatherstats[\"Station Name\"])):\n",
    "    for k in car.index:\n",
    "        if car[\"geometry\"][k].type==\"MultiPolygon\":\n",
    "            for y in range(0,len(car[\"geometry\"][k])):\n",
    "                if point_inside_polygon(canada_ws_weatherstats[\"Latitude\"][x],canada_ws_weatherstats[\"Longitude\"][x],car[\"geomlist\"][k][y]):\n",
    "                    canada_ws_weatherstats.at[x,\"Region\"]=car[\"PROVINCE\"][k]+car.at[k,\"CARUID\"][-2:]\n",
    "                    continue\n",
    "        # For Polygons only\n",
    "        else:\n",
    "            if point_inside_polygon(canada_ws_weatherstats[\"Latitude\"][x],canada_ws_weatherstats[\"Longitude\"][x],car[\"geomlist\"][k]):\n",
    "                        canada_ws_weatherstats.at[x,\"Region\"]=car[\"PROVINCE\"][k]+car.at[k,\"CARUID\"][-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "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>Station Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Elevation</th>\n",
       "      <th>IATA</th>\n",
       "      <th>WMO ID</th>\n",
       "      <th>Climate ID</th>\n",
       "      <th>Starting Date (hourly data)</th>\n",
       "      <th>Ending Date (hourly data)</th>\n",
       "      <th>Starting Date (daily data)</th>\n",
       "      <th>Ending Date (daily data)</th>\n",
       "      <th>Associated Location</th>\n",
       "      <th>Region</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(AE) BOW SUMMIT</td>\n",
       "      <td>51.70</td>\n",
       "      <td>-116.47</td>\n",
       "      <td>2080 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3050PPF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1998-02-01</td>\n",
       "      <td>2007-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AB30</td>\n",
       "      <td>POINT (-116.47000 51.70000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.30</td>\n",
       "      <td>1059 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1999-11-01</td>\n",
       "      <td>100 Mile House</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.30000 51.65000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.27</td>\n",
       "      <td>930 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095790</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1957-06-01</td>\n",
       "      <td>1959-08-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.27000 51.65000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100 MILE HOUSE 6NE</td>\n",
       "      <td>51.68</td>\n",
       "      <td>-121.22</td>\n",
       "      <td>928 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987-06-01</td>\n",
       "      <td>+</td>\n",
       "      <td>100 Mile House</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.22000 51.68000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>108 MILE HOUSE</td>\n",
       "      <td>51.75</td>\n",
       "      <td>-121.33</td>\n",
       "      <td>957 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1973-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.33000 51.75000)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9455</th>\n",
       "      <td>ZELMA</td>\n",
       "      <td>51.80</td>\n",
       "      <td>-105.93</td>\n",
       "      <td>541 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4059220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1981-06-01</td>\n",
       "      <td>1989-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SK04</td>\n",
       "      <td>POINT (-105.93000 51.80000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9456</th>\n",
       "      <td>ZHODA</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-96.52</td>\n",
       "      <td>305 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5023370</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1980-11-01</td>\n",
       "      <td>2000-06-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MB10</td>\n",
       "      <td>POINT (-96.52000 49.25000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9457</th>\n",
       "      <td>ZURICH</td>\n",
       "      <td>43.40</td>\n",
       "      <td>-81.60</td>\n",
       "      <td>257 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6129850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1881-07-01</td>\n",
       "      <td>1898-09-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ON02</td>\n",
       "      <td>POINT (-81.60000 43.40000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9458</th>\n",
       "      <td>ZWEIBRUCKEN A GERMANY</td>\n",
       "      <td>49.22</td>\n",
       "      <td>-7.42</td>\n",
       "      <td>337 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9032000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-7.42000 49.22000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9459</th>\n",
       "      <td>The historical weather data, forecast and curr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (nan nan)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9460 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Station Name  Latitude  Longitude  \\\n",
       "0                                       (AE) BOW SUMMIT     51.70    -116.47   \n",
       "1                                        100 MILE HOUSE     51.65    -121.30   \n",
       "2                                        100 MILE HOUSE     51.65    -121.27   \n",
       "3                                    100 MILE HOUSE 6NE     51.68    -121.22   \n",
       "4                                        108 MILE HOUSE     51.75    -121.33   \n",
       "...                                                 ...       ...        ...   \n",
       "9455                                              ZELMA     51.80    -105.93   \n",
       "9456                                              ZHODA     49.25     -96.52   \n",
       "9457                                             ZURICH     43.40     -81.60   \n",
       "9458                              ZWEIBRUCKEN A GERMANY     49.22      -7.42   \n",
       "9459  The historical weather data, forecast and curr...       NaN        NaN   \n",
       "\n",
       "     Elevation IATA  WMO ID Climate ID Starting Date (hourly data)  \\\n",
       "0       2080 m  NaN     NaN    3050PPF                         NaN   \n",
       "1       1059 m  NaN     NaN    1165791                         NaN   \n",
       "2        930 m  NaN     NaN    1095790                         NaN   \n",
       "3        928 m  NaN     NaN    1165793                         NaN   \n",
       "4        957 m  NaN     NaN    1095796                         NaN   \n",
       "...        ...  ...     ...        ...                         ...   \n",
       "9455     541 m  NaN     NaN    4059220                         NaN   \n",
       "9456     305 m  NaN     NaN    5023370                         NaN   \n",
       "9457     257 m  NaN     NaN    6129850                         NaN   \n",
       "9458     337 m  NaN     NaN    9032000                         NaN   \n",
       "9459       NaN  NaN     NaN        NaN                         NaN   \n",
       "\n",
       "     Ending Date (hourly data) Starting Date (daily data)  \\\n",
       "0                          NaN                 1998-02-01   \n",
       "1                          NaN                 1970-05-01   \n",
       "2                          NaN                 1957-06-01   \n",
       "3                          NaN                 1987-06-01   \n",
       "4                          NaN                 1970-05-01   \n",
       "...                        ...                        ...   \n",
       "9455                       NaN                 1981-06-01   \n",
       "9456                       NaN                 1980-11-01   \n",
       "9457                       NaN                 1881-07-01   \n",
       "9458                       NaN                        NaN   \n",
       "9459                       NaN                        NaN   \n",
       "\n",
       "     Ending Date (daily data) Associated Location Region  \\\n",
       "0                  2007-11-01                 NaN   AB30   \n",
       "1                  1999-11-01      100 Mile House   BC05   \n",
       "2                  1959-08-01                 NaN   BC05   \n",
       "3                           +      100 Mile House   BC05   \n",
       "4                  1973-07-01                 NaN   BC05   \n",
       "...                       ...                 ...    ...   \n",
       "9455               1989-11-01                 NaN   SK04   \n",
       "9456               2000-06-01                 NaN   MB10   \n",
       "9457               1898-09-01                 NaN   ON02   \n",
       "9458                      NaN                 NaN          \n",
       "9459                      NaN                 NaN          \n",
       "\n",
       "                         geometry  \n",
       "0     POINT (-116.47000 51.70000)  \n",
       "1     POINT (-121.30000 51.65000)  \n",
       "2     POINT (-121.27000 51.65000)  \n",
       "3     POINT (-121.22000 51.68000)  \n",
       "4     POINT (-121.33000 51.75000)  \n",
       "...                           ...  \n",
       "9455  POINT (-105.93000 51.80000)  \n",
       "9456   POINT (-96.52000 49.25000)  \n",
       "9457   POINT (-81.60000 43.40000)  \n",
       "9458    POINT (-7.42000 49.22000)  \n",
       "9459              POINT (nan nan)  \n",
       "\n",
       "[9460 rows x 14 columns]"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "canada_ws_weatherstats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9460, 14)"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "canada_ws_weatherstats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop all rows with missing Latitude info\n",
    "canada_ws_weatherstats.dropna(subset=[\"Latitude\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "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>Station Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Elevation</th>\n",
       "      <th>IATA</th>\n",
       "      <th>WMO ID</th>\n",
       "      <th>Climate ID</th>\n",
       "      <th>Starting Date (hourly data)</th>\n",
       "      <th>Ending Date (hourly data)</th>\n",
       "      <th>Starting Date (daily data)</th>\n",
       "      <th>Ending Date (daily data)</th>\n",
       "      <th>Associated Location</th>\n",
       "      <th>Region</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>BARWICK</td>\n",
       "      <td>48.63</td>\n",
       "      <td>-93.97</td>\n",
       "      <td>335 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6020559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1978-12-01</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-93.97000 48.63000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>BRANTRIDGE DOMINICA</td>\n",
       "      <td>15.38</td>\n",
       "      <td>-61.35</td>\n",
       "      <td>442 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9040900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-61.35000 15.38000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>CAREY ISLANDS GREENLAND</td>\n",
       "      <td>76.73</td>\n",
       "      <td>-73.18</td>\n",
       "      <td>10 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9012000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-73.18000 76.73000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2076</th>\n",
       "      <td>DELTA PEBBLE HILL</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-123.08</td>\n",
       "      <td>51 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1102420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1961-12-01</td>\n",
       "      <td>1996-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-123.08000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2278</th>\n",
       "      <td>EAST POPLAR RIVER</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-105.42</td>\n",
       "      <td>739 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4032335</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1961-07-01</td>\n",
       "      <td>1979-05-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-105.42000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2321</th>\n",
       "      <td>EDMONTON EER</td>\n",
       "      <td>40.00</td>\n",
       "      <td>-50.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NEE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3012240</td>\n",
       "      <td>2016-11-16</td>\n",
       "      <td>2017-05-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-50.00000 40.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2398</th>\n",
       "      <td>ELMORE</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-101.63</td>\n",
       "      <td>495 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4012364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1973-05-01</td>\n",
       "      <td>1974-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-101.63000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2421</th>\n",
       "      <td>EMERSON AUT (Emerson)</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-97.24</td>\n",
       "      <td>242 m</td>\n",
       "      <td>WEX</td>\n",
       "      <td>71560.0</td>\n",
       "      <td>5020882</td>\n",
       "      <td>1996-11-27</td>\n",
       "      <td>2009-08-23</td>\n",
       "      <td>1997-04-01</td>\n",
       "      <td>2009-08-01</td>\n",
       "      <td>Dominion City</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-97.24000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2425</th>\n",
       "      <td>EMERSON AUTO (Emerson)</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-97.24</td>\n",
       "      <td>242 m</td>\n",
       "      <td>WEX</td>\n",
       "      <td>71560.0</td>\n",
       "      <td>5020881</td>\n",
       "      <td>2009-06-18</td>\n",
       "      <td>+</td>\n",
       "      <td>2009-07-01</td>\n",
       "      <td>+</td>\n",
       "      <td>Dominion City</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-97.24000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2464</th>\n",
       "      <td>ERIEAU (AUT) (Erieau)</td>\n",
       "      <td>42.25</td>\n",
       "      <td>-81.90</td>\n",
       "      <td>178 m</td>\n",
       "      <td>WAJ</td>\n",
       "      <td>71465.0</td>\n",
       "      <td>613KLLM</td>\n",
       "      <td>1994-02-01</td>\n",
       "      <td>+</td>\n",
       "      <td>1992-12-01</td>\n",
       "      <td>+</td>\n",
       "      <td>Rondeau (Provincial Park)</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-81.90000 42.25000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2878</th>\n",
       "      <td>GANNET ROCK</td>\n",
       "      <td>44.52</td>\n",
       "      <td>-66.78</td>\n",
       "      <td>5 m</td>\n",
       "      <td>WAK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8101815</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1993-03-01</td>\n",
       "      <td>1996-03-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-66.78000 44.52000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3193</th>\n",
       "      <td>GROSTENQUIN A FRANCE</td>\n",
       "      <td>49.02</td>\n",
       "      <td>-6.70</td>\n",
       "      <td>252 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9021000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-6.70000 49.02000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3628</th>\n",
       "      <td>HUNTINGDON METER STATION</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-122.22</td>\n",
       "      <td>8 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1103635</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1961-03-01</td>\n",
       "      <td>1968-08-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-122.22000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4020</th>\n",
       "      <td>KINGSGATE</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-116.18</td>\n",
       "      <td>820 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1144230</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1924-01-01</td>\n",
       "      <td>1962-04-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-116.18000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4294</th>\n",
       "      <td>LAHR A GERMANY</td>\n",
       "      <td>48.37</td>\n",
       "      <td>-7.83</td>\n",
       "      <td>157 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9030500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-7.83000 48.37000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4572</th>\n",
       "      <td>LONG POINT (AUT)</td>\n",
       "      <td>42.53</td>\n",
       "      <td>-80.05</td>\n",
       "      <td>175 m</td>\n",
       "      <td>WPS</td>\n",
       "      <td>71464.0</td>\n",
       "      <td>6134F10</td>\n",
       "      <td>1994-02-01</td>\n",
       "      <td>+</td>\n",
       "      <td>1994-12-01</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-80.05000 42.53000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4770</th>\n",
       "      <td>MANKOTA 2</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-106.95</td>\n",
       "      <td>785 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4034912</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1971-07-01</td>\n",
       "      <td>1984-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-106.95000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4864</th>\n",
       "      <td>MARVILLE A FRANCE</td>\n",
       "      <td>49.45</td>\n",
       "      <td>-5.42</td>\n",
       "      <td>265 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9022000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-5.42000 49.45000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5044</th>\n",
       "      <td>MIDWAY</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-118.77</td>\n",
       "      <td>571 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1135126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987-06-01</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-118.77000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5092</th>\n",
       "      <td>MINASVILLE</td>\n",
       "      <td>47.28</td>\n",
       "      <td>-63.82</td>\n",
       "      <td>62 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8203578</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1991-12-01</td>\n",
       "      <td>1992-02-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-63.82000 47.28000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5228</th>\n",
       "      <td>MONTREAL PERSILLIER</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7025315</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1948-05-01</td>\n",
       "      <td>1950-05-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (0.00000 0.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5618</th>\n",
       "      <td>NIAGARA FALLS NPCSH</td>\n",
       "      <td>43.13</td>\n",
       "      <td>-79.05</td>\n",
       "      <td>175 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6135657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1980-06-01</td>\n",
       "      <td>2011-06-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-79.05000 43.13000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>NORTHGATE</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-102.27</td>\n",
       "      <td>561 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4015612</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1973-05-01</td>\n",
       "      <td>1975-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-102.27000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5866</th>\n",
       "      <td>OSKELANEO 2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7075752</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1927-06-01</td>\n",
       "      <td>1939-09-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (0.00000 0.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5945</th>\n",
       "      <td>PA AJAX WATER SUPPLY</td>\n",
       "      <td>43.82</td>\n",
       "      <td>-79.01</td>\n",
       "      <td>93 m</td>\n",
       "      <td>L3A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6156155</td>\n",
       "      <td>2014-08-28</td>\n",
       "      <td>2015-11-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-79.01000 43.82000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6059</th>\n",
       "      <td>PARRY SOUND ONT HYDRO</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6116260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1964-05-01</td>\n",
       "      <td>1968-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (0.00000 0.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6069</th>\n",
       "      <td>PATERSON</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-117.82</td>\n",
       "      <td>673 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1146000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1954-04-01</td>\n",
       "      <td>1963-06-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-117.82000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6083</th>\n",
       "      <td>PEACE GARDENS</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-100.05</td>\n",
       "      <td>693 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5022065</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1961-09-01</td>\n",
       "      <td>2000-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-100.05000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6328</th>\n",
       "      <td>POINT LEPREAU</td>\n",
       "      <td>45.07</td>\n",
       "      <td>66.47</td>\n",
       "      <td>5 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8104200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1872-10-01</td>\n",
       "      <td>1952-05-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (66.47000 45.07000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6418</th>\n",
       "      <td>PORT CREDIT APPLEWOOD</td>\n",
       "      <td>43.57</td>\n",
       "      <td>-79.50</td>\n",
       "      <td>91 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6156615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1958-08-01</td>\n",
       "      <td>1961-12-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-79.50000 43.57000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6461</th>\n",
       "      <td>PORT WELLER (AUT)</td>\n",
       "      <td>43.25</td>\n",
       "      <td>-79.22</td>\n",
       "      <td>79 m</td>\n",
       "      <td>WWZ</td>\n",
       "      <td>71432.0</td>\n",
       "      <td>6136699</td>\n",
       "      <td>1993-09-30</td>\n",
       "      <td>+</td>\n",
       "      <td>1992-12-01</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-79.22000 43.25000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6650</th>\n",
       "      <td>RAINY RIVER</td>\n",
       "      <td>48.77</td>\n",
       "      <td>-94.67</td>\n",
       "      <td>329 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6026853</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1978-12-01</td>\n",
       "      <td>1980-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-94.67000 48.77000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6651</th>\n",
       "      <td>RAINY RIVER-COOPER</td>\n",
       "      <td>48.73</td>\n",
       "      <td>-94.62</td>\n",
       "      <td>323 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>602FQ5L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1991-08-01</td>\n",
       "      <td>1993-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-94.62000 48.73000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6657</th>\n",
       "      <td>RAMPART HOUSE</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2100920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1918-09-01</td>\n",
       "      <td>1919-08-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (0.00000 0.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7009</th>\n",
       "      <td>ROWAN GORILLA III</td>\n",
       "      <td>43.88</td>\n",
       "      <td>-60.55</td>\n",
       "      <td>44 m</td>\n",
       "      <td>WXO</td>\n",
       "      <td>44144.0</td>\n",
       "      <td>9001029</td>\n",
       "      <td>1994-02-01</td>\n",
       "      <td>1998-06-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-60.55000 43.88000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7010</th>\n",
       "      <td>ROWANS RAVINE PARK</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4016955</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1963-05-01</td>\n",
       "      <td>1965-09-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (0.00000 0.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7213</th>\n",
       "      <td>SAULT STE M FORESTRY</td>\n",
       "      <td>46.50</td>\n",
       "      <td>-84.37</td>\n",
       "      <td>193 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6057595</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1889-03-01</td>\n",
       "      <td>1933-12-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-84.37000 46.50000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7417</th>\n",
       "      <td>SIOUX FALLS CLIMATE</td>\n",
       "      <td>43.73</td>\n",
       "      <td>-96.63</td>\n",
       "      <td>482 m</td>\n",
       "      <td>PSU</td>\n",
       "      <td>71168.0</td>\n",
       "      <td>9052008</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-96.63000 43.73000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7487</th>\n",
       "      <td>SOELLINGEN A GERMANY</td>\n",
       "      <td>48.77</td>\n",
       "      <td>8.10</td>\n",
       "      <td>123 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9031000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (8.10000 48.77000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7540</th>\n",
       "      <td>SOUTHEAST SHOAL (AUT)</td>\n",
       "      <td>41.83</td>\n",
       "      <td>-82.47</td>\n",
       "      <td>195 m</td>\n",
       "      <td>WNB</td>\n",
       "      <td>71466.0</td>\n",
       "      <td>6137937</td>\n",
       "      <td>1994-03-29</td>\n",
       "      <td>2016-12-15</td>\n",
       "      <td>1994-12-01</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-82.47000 41.83000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7801</th>\n",
       "      <td>ST STEPHEN</td>\n",
       "      <td>45.18</td>\n",
       "      <td>-67.27</td>\n",
       "      <td>11 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8104936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1898-02-01</td>\n",
       "      <td>1915-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-67.27000 45.18000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8406</th>\n",
       "      <td>TORONTO ISLAND</td>\n",
       "      <td>43.62</td>\n",
       "      <td>-79.40</td>\n",
       "      <td>78 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6158660</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1905-01-01</td>\n",
       "      <td>1959-09-01</td>\n",
       "      <td>Toronto Island</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-79.40000 43.62000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8475</th>\n",
       "      <td>TREELON</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-108.38</td>\n",
       "      <td>902 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4038116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1971-09-01</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-108.38000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8534</th>\n",
       "      <td>TSAWWASSEN FERRY AUTO</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-123.13</td>\n",
       "      <td>7 m</td>\n",
       "      <td>VTF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1108291</td>\n",
       "      <td>2012-04-30</td>\n",
       "      <td>+</td>\n",
       "      <td>2018-05-01</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-123.13000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9065</th>\n",
       "      <td>WEST POPLAR RIVER</td>\n",
       "      <td>49.00</td>\n",
       "      <td>-106.38</td>\n",
       "      <td>876 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4038740</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1956-10-01</td>\n",
       "      <td>2002-06-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-106.38000 49.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9237</th>\n",
       "      <td>WINDSOR FORD PLANT</td>\n",
       "      <td>42.33</td>\n",
       "      <td>-83.02</td>\n",
       "      <td>175 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6139533</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1980-11-01</td>\n",
       "      <td>1993-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-83.02000 42.33000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9458</th>\n",
       "      <td>ZWEIBRUCKEN A GERMANY</td>\n",
       "      <td>49.22</td>\n",
       "      <td>-7.42</td>\n",
       "      <td>337 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9032000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>POINT (-7.42000 49.22000)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Station Name  Latitude  Longitude Elevation IATA   WMO ID  \\\n",
       "489                    BARWICK     48.63     -93.97     335 m  NaN      NaN   \n",
       "912        BRANTRIDGE DOMINICA     15.38     -61.35     442 m  NaN      NaN   \n",
       "1307   CAREY ISLANDS GREENLAND     76.73     -73.18      10 m  NaN      NaN   \n",
       "2076         DELTA PEBBLE HILL     49.00    -123.08      51 m  NaN      NaN   \n",
       "2278         EAST POPLAR RIVER     49.00    -105.42     739 m  NaN      NaN   \n",
       "2321              EDMONTON EER     40.00     -50.00       NaN  NEE      NaN   \n",
       "2398                    ELMORE     49.00    -101.63     495 m  NaN      NaN   \n",
       "2421     EMERSON AUT (Emerson)     49.00     -97.24     242 m  WEX  71560.0   \n",
       "2425    EMERSON AUTO (Emerson)     49.00     -97.24     242 m  WEX  71560.0   \n",
       "2464     ERIEAU (AUT) (Erieau)     42.25     -81.90     178 m  WAJ  71465.0   \n",
       "2878               GANNET ROCK     44.52     -66.78       5 m  WAK      NaN   \n",
       "3193      GROSTENQUIN A FRANCE     49.02      -6.70     252 m  NaN      NaN   \n",
       "3628  HUNTINGDON METER STATION     49.00    -122.22       8 m  NaN      NaN   \n",
       "4020                 KINGSGATE     49.00    -116.18     820 m  NaN      NaN   \n",
       "4294            LAHR A GERMANY     48.37      -7.83     157 m  NaN      NaN   \n",
       "4572          LONG POINT (AUT)     42.53     -80.05     175 m  WPS  71464.0   \n",
       "4770                 MANKOTA 2     49.00    -106.95     785 m  NaN      NaN   \n",
       "4864         MARVILLE A FRANCE     49.45      -5.42     265 m  NaN      NaN   \n",
       "5044                    MIDWAY     49.00    -118.77     571 m  NaN      NaN   \n",
       "5092                MINASVILLE     47.28     -63.82      62 m  NaN      NaN   \n",
       "5228       MONTREAL PERSILLIER      0.00       0.00       NaN  NaN      NaN   \n",
       "5618       NIAGARA FALLS NPCSH     43.13     -79.05     175 m  NaN      NaN   \n",
       "5734                 NORTHGATE     49.00    -102.27     561 m  NaN      NaN   \n",
       "5866               OSKELANEO 2      0.00       0.00       NaN  NaN      NaN   \n",
       "5945      PA AJAX WATER SUPPLY     43.82     -79.01      93 m  L3A      NaN   \n",
       "6059     PARRY SOUND ONT HYDRO      0.00       0.00       NaN  NaN      NaN   \n",
       "6069                  PATERSON     49.00    -117.82     673 m  NaN      NaN   \n",
       "6083             PEACE GARDENS     49.00    -100.05     693 m  NaN      NaN   \n",
       "6328             POINT LEPREAU     45.07      66.47       5 m  NaN      NaN   \n",
       "6418     PORT CREDIT APPLEWOOD     43.57     -79.50      91 m  NaN      NaN   \n",
       "6461         PORT WELLER (AUT)     43.25     -79.22      79 m  WWZ  71432.0   \n",
       "6650               RAINY RIVER     48.77     -94.67     329 m  NaN      NaN   \n",
       "6651        RAINY RIVER-COOPER     48.73     -94.62     323 m  NaN      NaN   \n",
       "6657             RAMPART HOUSE      0.00       0.00       NaN  NaN      NaN   \n",
       "7009         ROWAN GORILLA III     43.88     -60.55      44 m  WXO  44144.0   \n",
       "7010        ROWANS RAVINE PARK      0.00       0.00       NaN  NaN      NaN   \n",
       "7213      SAULT STE M FORESTRY     46.50     -84.37     193 m  NaN      NaN   \n",
       "7417       SIOUX FALLS CLIMATE     43.73     -96.63     482 m  PSU  71168.0   \n",
       "7487      SOELLINGEN A GERMANY     48.77       8.10     123 m  NaN      NaN   \n",
       "7540     SOUTHEAST SHOAL (AUT)     41.83     -82.47     195 m  WNB  71466.0   \n",
       "7801                ST STEPHEN     45.18     -67.27      11 m  NaN      NaN   \n",
       "8406            TORONTO ISLAND     43.62     -79.40      78 m  NaN      NaN   \n",
       "8475                   TREELON     49.00    -108.38     902 m  NaN      NaN   \n",
       "8534     TSAWWASSEN FERRY AUTO     49.00    -123.13       7 m  VTF      NaN   \n",
       "9065         WEST POPLAR RIVER     49.00    -106.38     876 m  NaN      NaN   \n",
       "9237        WINDSOR FORD PLANT     42.33     -83.02     175 m  NaN      NaN   \n",
       "9458     ZWEIBRUCKEN A GERMANY     49.22      -7.42     337 m  NaN      NaN   \n",
       "\n",
       "     Climate ID Starting Date (hourly data) Ending Date (hourly data)  \\\n",
       "489     6020559                         NaN                       NaN   \n",
       "912     9040900                         NaN                       NaN   \n",
       "1307    9012000                         NaN                       NaN   \n",
       "2076    1102420                         NaN                       NaN   \n",
       "2278    4032335                         NaN                       NaN   \n",
       "2321    3012240                  2016-11-16                2017-05-05   \n",
       "2398    4012364                         NaN                       NaN   \n",
       "2421    5020882                  1996-11-27                2009-08-23   \n",
       "2425    5020881                  2009-06-18                         +   \n",
       "2464    613KLLM                  1994-02-01                         +   \n",
       "2878    8101815                         NaN                       NaN   \n",
       "3193    9021000                         NaN                       NaN   \n",
       "3628    1103635                         NaN                       NaN   \n",
       "4020    1144230                         NaN                       NaN   \n",
       "4294    9030500                         NaN                       NaN   \n",
       "4572    6134F10                  1994-02-01                         +   \n",
       "4770    4034912                         NaN                       NaN   \n",
       "4864    9022000                         NaN                       NaN   \n",
       "5044    1135126                         NaN                       NaN   \n",
       "5092    8203578                         NaN                       NaN   \n",
       "5228    7025315                         NaN                       NaN   \n",
       "5618    6135657                         NaN                       NaN   \n",
       "5734    4015612                         NaN                       NaN   \n",
       "5866    7075752                         NaN                       NaN   \n",
       "5945    6156155                  2014-08-28                2015-11-10   \n",
       "6059    6116260                         NaN                       NaN   \n",
       "6069    1146000                         NaN                       NaN   \n",
       "6083    5022065                         NaN                       NaN   \n",
       "6328    8104200                         NaN                       NaN   \n",
       "6418    6156615                         NaN                       NaN   \n",
       "6461    6136699                  1993-09-30                         +   \n",
       "6650    6026853                         NaN                       NaN   \n",
       "6651    602FQ5L                         NaN                       NaN   \n",
       "6657    2100920                         NaN                       NaN   \n",
       "7009    9001029                  1994-02-01                1998-06-24   \n",
       "7010    4016955                         NaN                       NaN   \n",
       "7213    6057595                         NaN                       NaN   \n",
       "7417    9052008                         NaN                       NaN   \n",
       "7487    9031000                         NaN                       NaN   \n",
       "7540    6137937                  1994-03-29                2016-12-15   \n",
       "7801    8104936                         NaN                       NaN   \n",
       "8406    6158660                         NaN                       NaN   \n",
       "8475    4038116                         NaN                       NaN   \n",
       "8534    1108291                  2012-04-30                         +   \n",
       "9065    4038740                         NaN                       NaN   \n",
       "9237    6139533                         NaN                       NaN   \n",
       "9458    9032000                         NaN                       NaN   \n",
       "\n",
       "     Starting Date (daily data) Ending Date (daily data)  \\\n",
       "489                  1978-12-01               2021-03-01   \n",
       "912                         NaN                      NaN   \n",
       "1307                        NaN                      NaN   \n",
       "2076                 1961-12-01               1996-01-01   \n",
       "2278                 1961-07-01               1979-05-01   \n",
       "2321                        NaN                      NaN   \n",
       "2398                 1973-05-01               1974-07-01   \n",
       "2421                 1997-04-01               2009-08-01   \n",
       "2425                 2009-07-01                        +   \n",
       "2464                 1992-12-01                        +   \n",
       "2878                 1993-03-01               1996-03-01   \n",
       "3193                        NaN                      NaN   \n",
       "3628                 1961-03-01               1968-08-01   \n",
       "4020                 1924-01-01               1962-04-01   \n",
       "4294                        NaN                      NaN   \n",
       "4572                 1994-12-01               2021-03-01   \n",
       "4770                 1971-07-01               1984-01-01   \n",
       "4864                        NaN                      NaN   \n",
       "5044                 1987-06-01               2021-03-01   \n",
       "5092                 1991-12-01               1992-02-01   \n",
       "5228                 1948-05-01               1950-05-01   \n",
       "5618                 1980-06-01               2011-06-01   \n",
       "5734                 1973-05-01               1975-11-01   \n",
       "5866                 1927-06-01               1939-09-01   \n",
       "5945                        NaN                      NaN   \n",
       "6059                 1964-05-01               1968-07-01   \n",
       "6069                 1954-04-01               1963-06-01   \n",
       "6083                 1961-09-01               2000-11-01   \n",
       "6328                 1872-10-01               1952-05-01   \n",
       "6418                 1958-08-01               1961-12-01   \n",
       "6461                 1992-12-01               2021-03-01   \n",
       "6650                 1978-12-01               1980-01-01   \n",
       "6651                 1991-08-01               1993-07-01   \n",
       "6657                 1918-09-01               1919-08-01   \n",
       "7009                        NaN                      NaN   \n",
       "7010                 1963-05-01               1965-09-01   \n",
       "7213                 1889-03-01               1933-12-01   \n",
       "7417                        NaN                      NaN   \n",
       "7487                        NaN                      NaN   \n",
       "7540                 1994-12-01               2016-12-01   \n",
       "7801                 1898-02-01               1915-11-01   \n",
       "8406                 1905-01-01               1959-09-01   \n",
       "8475                 1971-09-01               2017-07-01   \n",
       "8534                 2018-05-01               2021-03-01   \n",
       "9065                 1956-10-01               2002-06-01   \n",
       "9237                 1980-11-01               1993-11-01   \n",
       "9458                        NaN                      NaN   \n",
       "\n",
       "            Associated Location Region                     geometry  \n",
       "489                         NaN          POINT (-93.97000 48.63000)  \n",
       "912                         NaN          POINT (-61.35000 15.38000)  \n",
       "1307                        NaN          POINT (-73.18000 76.73000)  \n",
       "2076                        NaN         POINT (-123.08000 49.00000)  \n",
       "2278                        NaN         POINT (-105.42000 49.00000)  \n",
       "2321                        NaN          POINT (-50.00000 40.00000)  \n",
       "2398                        NaN         POINT (-101.63000 49.00000)  \n",
       "2421              Dominion City          POINT (-97.24000 49.00000)  \n",
       "2425              Dominion City          POINT (-97.24000 49.00000)  \n",
       "2464  Rondeau (Provincial Park)          POINT (-81.90000 42.25000)  \n",
       "2878                        NaN          POINT (-66.78000 44.52000)  \n",
       "3193                        NaN           POINT (-6.70000 49.02000)  \n",
       "3628                        NaN         POINT (-122.22000 49.00000)  \n",
       "4020                        NaN         POINT (-116.18000 49.00000)  \n",
       "4294                        NaN           POINT (-7.83000 48.37000)  \n",
       "4572                        NaN          POINT (-80.05000 42.53000)  \n",
       "4770                        NaN         POINT (-106.95000 49.00000)  \n",
       "4864                        NaN           POINT (-5.42000 49.45000)  \n",
       "5044                        NaN         POINT (-118.77000 49.00000)  \n",
       "5092                        NaN          POINT (-63.82000 47.28000)  \n",
       "5228                        NaN             POINT (0.00000 0.00000)  \n",
       "5618                        NaN          POINT (-79.05000 43.13000)  \n",
       "5734                        NaN         POINT (-102.27000 49.00000)  \n",
       "5866                        NaN             POINT (0.00000 0.00000)  \n",
       "5945                        NaN          POINT (-79.01000 43.82000)  \n",
       "6059                        NaN             POINT (0.00000 0.00000)  \n",
       "6069                        NaN         POINT (-117.82000 49.00000)  \n",
       "6083                        NaN         POINT (-100.05000 49.00000)  \n",
       "6328                        NaN           POINT (66.47000 45.07000)  \n",
       "6418                        NaN          POINT (-79.50000 43.57000)  \n",
       "6461                        NaN          POINT (-79.22000 43.25000)  \n",
       "6650                        NaN          POINT (-94.67000 48.77000)  \n",
       "6651                        NaN          POINT (-94.62000 48.73000)  \n",
       "6657                        NaN             POINT (0.00000 0.00000)  \n",
       "7009                        NaN          POINT (-60.55000 43.88000)  \n",
       "7010                        NaN             POINT (0.00000 0.00000)  \n",
       "7213                        NaN          POINT (-84.37000 46.50000)  \n",
       "7417                        NaN          POINT (-96.63000 43.73000)  \n",
       "7487                        NaN            POINT (8.10000 48.77000)  \n",
       "7540                        NaN          POINT (-82.47000 41.83000)  \n",
       "7801                        NaN          POINT (-67.27000 45.18000)  \n",
       "8406             Toronto Island          POINT (-79.40000 43.62000)  \n",
       "8475                        NaN         POINT (-108.38000 49.00000)  \n",
       "8534                        NaN         POINT (-123.13000 49.00000)  \n",
       "9065                        NaN         POINT (-106.38000 49.00000)  \n",
       "9237                        NaN          POINT (-83.02000 42.33000)  \n",
       "9458                        NaN           POINT (-7.42000 49.22000)  "
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list of rows with missing Region\n",
    "# most likely all these are on the border with US or outside Canada\n",
    "canada_ws_weatherstats[canada_ws_weatherstats[\"Region\"]==\"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(canada_ws_weatherstats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "geopandas.geodataframe.GeoDataFrame"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(car)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<shapely.geometry.point.Point at 0x2376f6eecd0>,\n",
       " <shapely.geometry.point.Point at 0x2376f6eed90>,\n",
       " <shapely.geometry.point.Point at 0x2376f6ee250>]"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## convert canada_ws_weatherstats to Geopandas Dataframe and \n",
    "## then plot both Canada Argiculture regions (car) and canada_ws_weatherstats in the same plot\n",
    "\n",
    "from shapely.geometry import Point, Polygon\n",
    "# for Geodataframe we need a geometry feature (in this case it will be a point for the long, lat)\n",
    "geometry = [Point(xy) for xy in zip(canada_ws_weatherstats[\"Longitude\"], canada_ws_weatherstats[\"Latitude\"])]\n",
    "geometry[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Design\\anaconda3\\envs\\geo_env\\lib\\site-packages\\pyproj\\crs\\crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  return _prepare_from_string(\" \".join(pjargs))\n"
     ]
    },
    {
     "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>Station Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Elevation</th>\n",
       "      <th>IATA</th>\n",
       "      <th>WMO ID</th>\n",
       "      <th>Climate ID</th>\n",
       "      <th>Starting Date (hourly data)</th>\n",
       "      <th>Ending Date (hourly data)</th>\n",
       "      <th>Starting Date (daily data)</th>\n",
       "      <th>Ending Date (daily data)</th>\n",
       "      <th>Associated Location</th>\n",
       "      <th>Region</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(AE) BOW SUMMIT</td>\n",
       "      <td>51.70</td>\n",
       "      <td>-116.47</td>\n",
       "      <td>2080 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3050PPF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1998-02-01</td>\n",
       "      <td>2007-11-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AB30</td>\n",
       "      <td>POINT (-116.47000 51.70000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.30</td>\n",
       "      <td>1059 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1999-11-01</td>\n",
       "      <td>100 Mile House</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.30000 51.65000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100 MILE HOUSE</td>\n",
       "      <td>51.65</td>\n",
       "      <td>-121.27</td>\n",
       "      <td>930 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095790</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1957-06-01</td>\n",
       "      <td>1959-08-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.27000 51.65000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100 MILE HOUSE 6NE</td>\n",
       "      <td>51.68</td>\n",
       "      <td>-121.22</td>\n",
       "      <td>928 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1165793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987-06-01</td>\n",
       "      <td>+</td>\n",
       "      <td>100 Mile House</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.22000 51.68000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>108 MILE HOUSE</td>\n",
       "      <td>51.75</td>\n",
       "      <td>-121.33</td>\n",
       "      <td>957 m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1095796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970-05-01</td>\n",
       "      <td>1973-07-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BC05</td>\n",
       "      <td>POINT (-121.33000 51.75000)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Station Name  Latitude  Longitude Elevation IATA  WMO ID Climate ID  \\\n",
       "0     (AE) BOW SUMMIT     51.70    -116.47    2080 m  NaN     NaN    3050PPF   \n",
       "1      100 MILE HOUSE     51.65    -121.30    1059 m  NaN     NaN    1165791   \n",
       "2      100 MILE HOUSE     51.65    -121.27     930 m  NaN     NaN    1095790   \n",
       "3  100 MILE HOUSE 6NE     51.68    -121.22     928 m  NaN     NaN    1165793   \n",
       "4      108 MILE HOUSE     51.75    -121.33     957 m  NaN     NaN    1095796   \n",
       "\n",
       "  Starting Date (hourly data) Ending Date (hourly data)  \\\n",
       "0                         NaN                       NaN   \n",
       "1                         NaN                       NaN   \n",
       "2                         NaN                       NaN   \n",
       "3                         NaN                       NaN   \n",
       "4                         NaN                       NaN   \n",
       "\n",
       "  Starting Date (daily data) Ending Date (daily data) Associated Location  \\\n",
       "0                 1998-02-01               2007-11-01                 NaN   \n",
       "1                 1970-05-01               1999-11-01      100 Mile House   \n",
       "2                 1957-06-01               1959-08-01                 NaN   \n",
       "3                 1987-06-01                        +      100 Mile House   \n",
       "4                 1970-05-01               1973-07-01                 NaN   \n",
       "\n",
       "  Region                     geometry  \n",
       "0   AB30  POINT (-116.47000 51.70000)  \n",
       "1   BC05  POINT (-121.30000 51.65000)  \n",
       "2   BC05  POINT (-121.27000 51.65000)  \n",
       "3   BC05  POINT (-121.22000 51.68000)  \n",
       "4   BC05  POINT (-121.33000 51.75000)  "
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crs={\"init\":\"epsg:4326\"}\n",
    "canada_ws_FINAL = gpd.GeoDataFrame(canada_ws_weatherstats,crs=crs, geometry=geometry)\n",
    "canada_ws_FINAL.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2376f389130>"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot BC Regions 1 and 8 weather stations\n",
    "fig, ax = plt.subplots(figsize=(20,15))\n",
    "car.plot(column='CARENAME', ax=ax, legend=True)\n",
    "canada_ws_FINAL[canada_ws_FINAL[\"Region\"]==\"BC01\"].plot(ax=ax, markersize=20,color=\"lime\", marker=\"^\", label=\"BC Region 1\")\n",
    "canada_ws_FINAL[canada_ws_FINAL[\"Region\"]==\"BC08\"].plot(ax=ax, markersize=20,color=\"lime\", marker=\"^\", label=\"BC Region 8\")\n",
    "#plt.savefig(\"Weatherstations_BC_Regions_1_8.pdf\", format=\"pdf\")\n",
    "plt.legend(prop={'size':15})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2376f60e0a0>"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot ON Regions weather stations\n",
    "fig, ax = plt.subplots(figsize=(20,15))\n",
    "car.plot(column='CARENAME', ax=ax, legend=True)\n",
    "canada_ws_FINAL[canada_ws_FINAL[\"Region\"].str.startswith(\"ON\")].plot(ax=ax, markersize=20,color=\"lime\", marker=\"^\", label=\"ON Regions\")\n",
    "#plt.savefig(\"Weatherstations_ON_Regions_1-5.pdf\", format=\"pdf\")\n",
    "plt.legend(prop={'size':15})"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geo_env",
   "language": "python",
   "name": "geo_env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}