32 - Creating Geospatial Heatmaps of DT Measurements.ipynb

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 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a044f8a0",
   "metadata": {},
   "source": [
    "# Creating Geospatial Heatmaps with Folium and Plotly Express"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "036e8e77-3dba-4259-a6e0-37b380635ba4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f5860a44-b07e-46dc-a92c-e64925f607c5",
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   "outputs": [
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     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WELL</th>\n",
       "      <th>DTC</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Water Depth</th>\n",
       "      <th>Completion Year</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15/9-13</td>\n",
       "      <td>66.274376</td>\n",
       "      <td>91.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1982</td>\n",
       "      <td>58.373878</td>\n",
       "      <td>1.934128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9-15</td>\n",
       "      <td>67.878158</td>\n",
       "      <td>116.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>1982</td>\n",
       "      <td>58.302069</td>\n",
       "      <td>1.922131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15/9-17</td>\n",
       "      <td>75.505541</td>\n",
       "      <td>108.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1983</td>\n",
       "      <td>58.445608</td>\n",
       "      <td>1.948217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16/10-1</td>\n",
       "      <td>71.281390</td>\n",
       "      <td>123.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>1986</td>\n",
       "      <td>58.056578</td>\n",
       "      <td>2.053903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16/10-2</td>\n",
       "      <td>68.900562</td>\n",
       "      <td>117.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>58.140717</td>\n",
       "      <td>2.037475</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",
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       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>35/9-10 S</td>\n",
       "      <td>87.248085</td>\n",
       "      <td>0.0</td>\n",
       "      <td>365.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>61.251972</td>\n",
       "      <td>3.684417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>35/9-2</td>\n",
       "      <td>88.222545</td>\n",
       "      <td>100.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>61.335728</td>\n",
       "      <td>3.937983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>35/9-6 S</td>\n",
       "      <td>100.077913</td>\n",
       "      <td>125.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>61.371192</td>\n",
       "      <td>3.692650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>36/7-3</td>\n",
       "      <td>79.360738</td>\n",
       "      <td>0.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>61.425867</td>\n",
       "      <td>4.049892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>7/1-1</td>\n",
       "      <td>77.049220</td>\n",
       "      <td>93.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1971</td>\n",
       "      <td>57.797778</td>\n",
       "      <td>2.165556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 7 columns</p>\n",
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       "         WELL         DTC  Temperature  Water Depth  Completion Year  \\\n",
       "0     15/9-13   66.274376         91.0         81.0             1982   \n",
       "1     15/9-15   67.878158        116.0         83.0             1982   \n",
       "2     15/9-17   75.505541        108.0         85.0             1983   \n",
       "3     16/10-1   71.281390        123.0         84.0             1986   \n",
       "4     16/10-2   68.900562        117.0         79.0             1991   \n",
       "..        ...         ...          ...          ...              ...   \n",
       "71  35/9-10 S   87.248085          0.0        365.0             2013   \n",
       "72     35/9-2   88.222545        100.0        367.0             1991   \n",
       "73   35/9-6 S  100.077913        125.0        369.0             2010   \n",
       "74     36/7-3   79.360738          0.0        349.0             2002   \n",
       "75      7/1-1   77.049220         93.0         82.0             1971   \n",
       "\n",
       "     Latitude  Longitude  \n",
       "0   58.373878   1.934128  \n",
       "1   58.302069   1.922131  \n",
       "2   58.445608   1.948217  \n",
       "3   58.056578   2.053903  \n",
       "4   58.140717   2.037475  \n",
       "..        ...        ...  \n",
       "71  61.251972   3.684417  \n",
       "72  61.335728   3.937983  \n",
       "73  61.371192   3.692650  \n",
       "74  61.425867   4.049892  \n",
       "75  57.797778   2.165556  \n",
       "\n",
       "[76 rows x 7 columns]"
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('xeek_force_2020_dtc_mapping.csv').drop(['Unnamed: 0'],axis=1)\n",
    "df"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "59202a70-de7b-4abd-8c1a-b8ee84eabaae",
   "metadata": {},
   "source": [
    "## Plotly Express"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3f3d37e2-6c7f-4b38-b140-7069c457e15b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly_express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5c4d70eb-a3b5-46d6-bfca-6fb1ce33185f",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = px.density_mapbox(df,\n",
    "                        lat='Latitude', lon='Longitude',\n",
    "                        z='DTC', radius=70,\n",
    "                        center=dict(lat=df.Latitude.mean(), \n",
    "                                    lon=df.Longitude.mean()), \n",
    "                        zoom=4,\n",
    "                        mapbox_style=\"open-street-map\", \n",
    "                        height=900)\n"
   ]
  },
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   "execution_count": 19,
   "id": "f60fe2ef-8c83-47de-8f24-5944ba32732c",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "90103cf9-d8c4-490a-86eb-320a00e6180a",
   "metadata": {},
   "source": [
    "## Folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f05ddf2f-2d5c-4e56-b3ca-06ff6ef1a5cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "from folium.plugins import HeatMap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8c011a51-8878-4a70-8c58-ade8c8b0e018",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = folium.Map(location=[df.Latitude.mean(), \n",
    "                         df.Longitude.mean()], \n",
    "               zoom_start=6, control_scale=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "50845c9f-6a4a-4673-9df5-e7c1e3387692",
   "metadata": {},
   "outputs": [
    {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
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       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
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       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
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       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_7ea10f6fbfe7004693bfe5e4010ef7ad {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_7ea10f6fbfe7004693bfe5e4010ef7ad&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
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       "                    center: [60.22864718421052, 2.7674449210526317],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 6,\n",
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       "\n",
       "            \n",
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       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_7ea10f6fbfe7004693bfe5e4010ef7ad);\n",
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       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x12124c4c0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
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    "m"
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   "cell_type": "code",
   "execution_count": 23,
   "id": "e155e647-888e-4333-9e0e-ed8f5fe69d4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "map_values1 = df[['Latitude','Longitude','DTC']]\n",
    "\n",
    "data = map_values1.values.tolist()\n",
    "\n",
    "hm = HeatMap(data, \n",
    "                min_opacity=0.05, \n",
    "                max_opacity=0.9, \n",
    "                radius=25).add_to(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f8562bc1-52f0-4ae5-931f-9c43aef5cedb",
   "metadata": {},
   "outputs": [
    {
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       "            ).addTo(map_7ea10f6fbfe7004693bfe5e4010ef7ad);\n",
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x12124c4c0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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    "m"
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf147e41-2ada-4e27-a60a-692ac32623d4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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