Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "654bef41",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Some fictional data for OS employees\n",
    "names = ['Tom P', 'Steve A', 'Steve B', 'Steve C', 'Steve D', 'Stephen X', 'Stephanie M', 'Jonathan S', 'Other Jonathan', 'Eleanor S', 'Nicola Y', 'Samantha Q']\n",
    "initials = [n[0]+n.split(' ')[-1][0] for n in names]\n",
    "fave_colour = ['red', 'blue', 'lightblue', 'darkgreen', 'brown', 'purple', 'orange', 'red', 'violet', 'black', 'grey', 'brown']\n",
    "years_service = [1.2, 0.5, 10.6, 15.3, 20, 5, 4, 35, 7, 9, 12, 0.2]\n",
    "glint_happiness = [5, 5, 2, 4, 3, 3, 4, 1, 5, 4, 4, 5]\n",
    "glint_energy = [4, 5, 2, 1, 1, 4, 5, 1, 3, 3, 1, 5]\n",
    "\n",
    "pdf = pd.DataFrame({'name':names,\n",
    "                    'initials':initials,\n",
    "                    'fave_colour':fave_colour,\n",
    "                    'years_service':years_service,\n",
    "                    'happiness':glint_happiness,\n",
    "                    'energy':glint_energy\n",
    "                   })\n",
    "\n",
    "pdf.to_csv('./fictional-glint-results.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "849f4647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Also let's make a fictional historical distribution map\n",
    "ar = [[10,8,6,4,2,1],\n",
    "      [9,10,7,4,2,2],\n",
    "      [5,7,14,4,3,2],\n",
    "      [4,6,7,15,9,8],\n",
    "      [1,6,7,12,30,27],\n",
    "      [1,5,7,12,15,25]\n",
    "     ]\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(ar)\n",
    "\n",
    "\n",
    "import numpy as np\n",
    "np.array(ar).dump('./fictional-image.np')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "40b499a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "happiness_distribution = np.sum(ar, axis=0)\n",
    "h = []\n",
    "for hapval, hapnum in enumerate(happiness_distribution):\n",
    "    for n in range(hapnum):\n",
    "        h.append(hapval)\n",
    "        \n",
    "        \n",
    "energy_distribution = np.sum(ar, axis=1)\n",
    "e = []\n",
    "for hapval, hapnum in enumerate(energy_distribution):\n",
    "    for n in range(hapnum):\n",
    "        e.append(hapval)\n",
    "        \n",
    "        \n",
    "np.array(h).dump('./fictional-happiness.np')\n",
    "np.array(e).dump('./fictional-energy.np')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "2ec4027d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "counties = gpd.read_file('./Boundary-line-ceremonial-counties_region.shp')\n",
    "tops = pd.read_csv('./County-tops.csv', encoding = 'unicode_escape', engine ='python', dtype={'NAME':str, 'HEIGHT':int, 'TOP':str})\n",
    "county_tops = counties.merge(tops, on='NAME', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f9a999ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "county_tops.plot(column='HEIGHT')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1522f04d",
   "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>NAME</th>\n",
       "      <th>HEIGHT</th>\n",
       "      <th>TOP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bedfordshire</td>\n",
       "      <td>243</td>\n",
       "      <td>Dunstable Downs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berkshire</td>\n",
       "      <td>297</td>\n",
       "      <td>Walbury Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Buckinghamshire</td>\n",
       "      <td>267</td>\n",
       "      <td>Haddington Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cambridgeshire</td>\n",
       "      <td>146</td>\n",
       "      <td>Great Chishill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cheshire</td>\n",
       "      <td>559</td>\n",
       "      <td>Shining Tor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Derbyshire</td>\n",
       "      <td>636</td>\n",
       "      <td>Kinder Scout</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Greater Manchester</td>\n",
       "      <td>542</td>\n",
       "      <td>Black Chew Head</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hertfordshire</td>\n",
       "      <td>244</td>\n",
       "      <td>NE shoulder of Pavis Wood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Leicestershire</td>\n",
       "      <td>278</td>\n",
       "      <td>Bardon Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Northamptonshire</td>\n",
       "      <td>225</td>\n",
       "      <td>Arbury Hill, Big Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Rutland</td>\n",
       "      <td>197</td>\n",
       "      <td>Cold Overton Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Nottinghamshire</td>\n",
       "      <td>205</td>\n",
       "      <td>Newtonwood Lane</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Oxfordshire</td>\n",
       "      <td>261</td>\n",
       "      <td>Whitehorse Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shropshire</td>\n",
       "      <td>540</td>\n",
       "      <td>Brown Clee Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>South Yorkshire</td>\n",
       "      <td>548</td>\n",
       "      <td>High Stones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Staffordshire</td>\n",
       "      <td>520</td>\n",
       "      <td>Cheeks Point on Cheeks Hill[4]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Surrey</td>\n",
       "      <td>295</td>\n",
       "      <td>Leith Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Warwickshire</td>\n",
       "      <td>261</td>\n",
       "      <td>Ebrington Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>West Midlands</td>\n",
       "      <td>269</td>\n",
       "      <td>Turners Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>West Yorkshire</td>\n",
       "      <td>582</td>\n",
       "      <td>Black Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Wiltshire</td>\n",
       "      <td>294</td>\n",
       "      <td>Milk Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Worcestershire</td>\n",
       "      <td>425</td>\n",
       "      <td>Worcestershire Beacon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Herefordshire</td>\n",
       "      <td>703</td>\n",
       "      <td>Black Mountain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>City and County of the City of London</td>\n",
       "      <td>22</td>\n",
       "      <td>High Holborn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Greater London</td>\n",
       "      <td>245</td>\n",
       "      <td>NE shoulder of Westerham Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bristol</td>\n",
       "      <td>160</td>\n",
       "      <td>east of Dundry Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Devon</td>\n",
       "      <td>621</td>\n",
       "      <td>High Willhays</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Dorset</td>\n",
       "      <td>279</td>\n",
       "      <td>Lewesdon Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>East Riding of Yorkshire</td>\n",
       "      <td>246</td>\n",
       "      <td>Bishop Wilton Wold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>East Sussex</td>\n",
       "      <td>248</td>\n",
       "      <td>Ditchling Beacon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Essex</td>\n",
       "      <td>147</td>\n",
       "      <td>Chrishall Common</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Gloucestershire</td>\n",
       "      <td>330</td>\n",
       "      <td>Cleeve Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Hampshire</td>\n",
       "      <td>286</td>\n",
       "      <td>Pilot Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Isle of Wight</td>\n",
       "      <td>241</td>\n",
       "      <td>St Boniface Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Kent</td>\n",
       "      <td>251</td>\n",
       "      <td>Betsom's Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Lancashire</td>\n",
       "      <td>628</td>\n",
       "      <td>Green Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Lincolnshire</td>\n",
       "      <td>168</td>\n",
       "      <td>Normanby le Wold Top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Merseyside</td>\n",
       "      <td>179</td>\n",
       "      <td>Billinge Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Norfolk</td>\n",
       "      <td>103</td>\n",
       "      <td>Beacon Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Somerset</td>\n",
       "      <td>519</td>\n",
       "      <td>Dunkery Beacon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Suffolk</td>\n",
       "      <td>128</td>\n",
       "      <td>Great Wood Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Tyne &amp; Wear</td>\n",
       "      <td>259</td>\n",
       "      <td>Currock Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>West Sussex</td>\n",
       "      <td>280</td>\n",
       "      <td>Black Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>North Yorkshire</td>\n",
       "      <td>736</td>\n",
       "      <td>Whernside</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Durham</td>\n",
       "      <td>788</td>\n",
       "      <td>Mickle Fell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Cumbria</td>\n",
       "      <td>978</td>\n",
       "      <td>Scafell Pike</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Northumberland</td>\n",
       "      <td>815</td>\n",
       "      <td>The Cheviot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Cornwall</td>\n",
       "      <td>420</td>\n",
       "      <td>Brown Willy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     NAME  HEIGHT  \\\n",
       "0                            Bedfordshire     243   \n",
       "1                               Berkshire     297   \n",
       "2                         Buckinghamshire     267   \n",
       "3                          Cambridgeshire     146   \n",
       "4                                Cheshire     559   \n",
       "5                              Derbyshire     636   \n",
       "6                      Greater Manchester     542   \n",
       "7                           Hertfordshire     244   \n",
       "8                          Leicestershire     278   \n",
       "9                        Northamptonshire     225   \n",
       "10                                Rutland     197   \n",
       "11                        Nottinghamshire     205   \n",
       "12                            Oxfordshire     261   \n",
       "13                             Shropshire     540   \n",
       "14                        South Yorkshire     548   \n",
       "15                          Staffordshire     520   \n",
       "16                                 Surrey     295   \n",
       "17                           Warwickshire     261   \n",
       "18                          West Midlands     269   \n",
       "19                         West Yorkshire     582   \n",
       "20                              Wiltshire     294   \n",
       "21                         Worcestershire     425   \n",
       "22                          Herefordshire     703   \n",
       "23  City and County of the City of London      22   \n",
       "24                         Greater London     245   \n",
       "25                                Bristol     160   \n",
       "26                                  Devon     621   \n",
       "27                                 Dorset     279   \n",
       "28               East Riding of Yorkshire     246   \n",
       "29                            East Sussex     248   \n",
       "30                                  Essex     147   \n",
       "31                        Gloucestershire     330   \n",
       "32                              Hampshire     286   \n",
       "33                          Isle of Wight     241   \n",
       "34                                   Kent     251   \n",
       "35                             Lancashire     628   \n",
       "36                           Lincolnshire     168   \n",
       "37                             Merseyside     179   \n",
       "38                                Norfolk     103   \n",
       "39                               Somerset     519   \n",
       "40                                Suffolk     128   \n",
       "41                            Tyne & Wear     259   \n",
       "42                            West Sussex     280   \n",
       "43                        North Yorkshire     736   \n",
       "44                                 Durham     788   \n",
       "45                                Cumbria     978   \n",
       "46                         Northumberland     815   \n",
       "47                               Cornwall     420   \n",
       "\n",
       "                                 TOP  \n",
       "0                    Dunstable Downs  \n",
       "1                       Walbury Hill  \n",
       "2                    Haddington Hill  \n",
       "3                     Great Chishill  \n",
       "4                        Shining Tor  \n",
       "5                       Kinder Scout  \n",
       "6                    Black Chew Head  \n",
       "7          NE shoulder of Pavis Wood  \n",
       "8                        Bardon Hill  \n",
       "9              Arbury Hill, Big Hill  \n",
       "10                 Cold Overton Park  \n",
       "11                   Newtonwood Lane  \n",
       "12                   Whitehorse Hill  \n",
       "13                   Brown Clee Hill  \n",
       "14                       High Stones  \n",
       "15    Cheeks Point on Cheeks Hill[4]  \n",
       "16                        Leith Hill  \n",
       "17                    Ebrington Hill  \n",
       "18                      Turners Hill  \n",
       "19                        Black Hill  \n",
       "20                         Milk Hill  \n",
       "21             Worcestershire Beacon  \n",
       "22                    Black Mountain  \n",
       "23                      High Holborn  \n",
       "24  NE shoulder of Westerham Heights  \n",
       "25               east of Dundry Hill  \n",
       "26                     High Willhays  \n",
       "27                     Lewesdon Hill  \n",
       "28                Bishop Wilton Wold  \n",
       "29                  Ditchling Beacon  \n",
       "30                  Chrishall Common  \n",
       "31                       Cleeve Hill  \n",
       "32                        Pilot Hill  \n",
       "33                  St Boniface Down  \n",
       "34                     Betsom's Hill  \n",
       "35                        Green Hill  \n",
       "36              Normanby le Wold Top  \n",
       "37                     Billinge Hill  \n",
       "38                       Beacon Hill  \n",
       "39                    Dunkery Beacon  \n",
       "40                   Great Wood Hill  \n",
       "41                      Currock Hill  \n",
       "42                        Black Down  \n",
       "43                         Whernside  \n",
       "44                       Mickle Fell  \n",
       "45                      Scafell Pike  \n",
       "46                       The Cheviot  \n",
       "47                       Brown Willy  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f80a5a33",
   "metadata": {},
   "outputs": [],
   "source": [
    "county_tops.to_file('./County-tops.gpkg', index=False, layer='county top', driver='GPKG')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "602194e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MINIMUM AT -158.9 DEGREES\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "from shapely.geometry import Polygon\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Get the world\n",
    "whole_world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "\n",
    "# Define some sample bins in longitude\n",
    "longitude_bin_bounds = np.linspace(-180,180, num=300)\n",
    "longitude_bin_centres = [0.5*(lo+hi) for lo, hi in zip(longitude_bin_bounds[:-1], longitude_bin_bounds[1:])]\n",
    "latitude_bin_bounds = np.linspace(-90,90, num=300)\n",
    "latitude_bin_centres = [0.5*(lo+hi) for lo, hi in zip(latitude_bin_bounds[:-1], latitude_bin_bounds[1:])]\n",
    "\n",
    "# For each bin we'll need to create a rectangular polygon to intersect\n",
    "def make_longbin_rect(low, hi):\n",
    "    return Polygon(((low, -90), (low, 90), (hi, 90), (hi, -90), (low, -90)))\n",
    "def make_latbin_rect(low, hi):\n",
    "    return Polygon(((-180, low), (180, low), (180, hi), (-180, hi), (-180, low)))\n",
    "\n",
    "f, axs = plt.subplots(figsize=(10,8), nrows=2, ncols=2,\n",
    "                      gridspec_kw={'hspace':0, 'wspace':0, 'height_ratios':[1,2], 'width_ratios':[3,1]},\n",
    "                      sharex='col', sharey='row')\n",
    "axs[0,1].axis('off')\n",
    "\n",
    "for continent, colour in zip(\n",
    "    ['Oceania', 'Africa', 'North America', 'Asia', 'South America', 'Europe', 'Seven seas (open ocean)', 'Antarctica'],\n",
    "    ['royalblue', 'red', 'orange', 'green', 'purple', 'grey', 'darkblue', 'lightblue']):\n",
    "    \n",
    "    world = whole_world[whole_world['continent']==continent]\n",
    "    \n",
    "    long_areas = []\n",
    "\n",
    "    for bin_num, (low, hi) in enumerate(zip(longitude_bin_bounds[:-1], longitude_bin_bounds[1:])):\n",
    "\n",
    "        # For each bin, create the polygon rectangle\n",
    "        bin_poly = make_longbin_rect(low, hi)\n",
    "\n",
    "        # Find all the bits of the world map within that bin\n",
    "        world_slice = world.intersection(bin_poly)\n",
    "\n",
    "        # Find the total land area (requires reprojection to equal-area CRS)\n",
    "        area = world_slice.to_crs('epsg:3410').area.sum()\n",
    "        long_areas.append(area)\n",
    "        \n",
    "    lat_areas = []\n",
    "\n",
    "    for bin_num, (low, hi) in enumerate(zip(latitude_bin_bounds[:-1], latitude_bin_bounds[1:])):\n",
    "\n",
    "        # For each bin, create the polygon rectangle\n",
    "        bin_poly = make_latbin_rect(low, hi)\n",
    "\n",
    "        # Find all the bits of the world map within that bin\n",
    "        world_slice = world.intersection(bin_poly)\n",
    "\n",
    "        # Find the total land area (requires reprojection to equal-area CRS)\n",
    "        area = world_slice.to_crs('epsg:3410').area.sum()\n",
    "        lat_areas.append(area)   \n",
    "        \n",
    "        \n",
    "    # Create a plot\n",
    "    world.plot(ax=axs[1,0], facecolor=colour)\n",
    "    axs[1,0].axis('auto')\n",
    "    axs[0,0].plot(longitude_bin_centres, long_areas, c=colour, label=continent)\n",
    "    axs[1,1].plot(lat_areas, latitude_bin_centres, c=colour)\n",
    "    axs[1,0].set_xlabel('Longitude (degrees)')\n",
    "    axs[1,0].set_ylabel('Latitude (degrees)')\n",
    "    axs[0,0].set_ylabel('Land area')\n",
    "    axs[1,1].set_xlabel('Land area')\n",
    "    \n",
    "axs[0,0].legend(loc='lower left', bbox_to_anchor=(1.01, 0.01))\n",
    "[ax.grid('on') for ax in axs.flatten()]\n",
    "\n",
    "\n",
    "# Find min value\n",
    "print('MINIMUM AT '+str(np.round(longitude_bin_centres[np.argmin(land_areas)], decimals=1))+' DEGREES')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "21090091",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Oceania', 'Africa', 'North America', 'Asia', 'South America',\n",
       "       'Europe', 'Seven seas (open ocean)'], dtype=object)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world['continent'].unique()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}