{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Res1D - Export to shapefile (and other useful formats)\n",
    "MIKE IO 1D supports exporting to shapefile (and other geospatial features) via GeoPandas. To use these features, you will need to ensure GeoPandas and its dependencies are installed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:01.626840Z",
     "iopub.status.busy": "2024-11-06T14:20:01.625955Z",
     "iopub.status.idle": "2024-11-06T14:20:03.100820Z",
     "shell.execute_reply": "2024-11-06T14:20:03.099925Z"
    }
   },
   "outputs": [],
   "source": [
    "import mikeio1d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:03.103686Z",
     "iopub.status.busy": "2024-11-06T14:20:03.103251Z",
     "iopub.status.idle": "2024-11-06T14:20:03.430578Z",
     "shell.execute_reply": "2024-11-06T14:20:03.429839Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mikeio1d.Res1D>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = mikeio1d.open(\"../tests/testdata/network.res1d\")\n",
    "res"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read res1d file into a GeoDataFrame (static network only)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:03.433106Z",
     "iopub.status.busy": "2024-11-06T14:20:03.432777Z",
     "iopub.status.idle": "2024-11-06T14:20:04.270825Z",
     "shell.execute_reply": "2024-11-06T14:20:04.270334Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ryan/mikeio1d/mikeio1d/various.py:58: UserWarning: Could not parse projection string. Returning None.\n",
      "  warnings.warn(\"Could not parse projection string. Returning None.\")\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>group</th>\n",
       "      <th>name</th>\n",
       "      <th>geometry</th>\n",
       "      <th>tag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Node</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (-687934.6 -1056500.699)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Node</td>\n",
       "      <td>2</td>\n",
       "      <td>POINT (-687914.8 -1056556.399)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Node</td>\n",
       "      <td>3</td>\n",
       "      <td>POINT (-687907.899 -1056507)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Node</td>\n",
       "      <td>4</td>\n",
       "      <td>POINT (-687918.199 -1056576.199)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Node</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-687835.5 -1056565.2)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  group name                          geometry  tag\n",
       "0  Node    1    POINT (-687934.6 -1056500.699)  NaN\n",
       "1  Node    2    POINT (-687914.8 -1056556.399)  NaN\n",
       "2  Node    3      POINT (-687907.899 -1056507)  NaN\n",
       "3  Node    4  POINT (-687918.199 -1056576.199)  NaN\n",
       "4  Node    5      POINT (-687835.5 -1056565.2)  NaN"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's read the network as a geopandas dataframe.\n",
    "df = res.network.to_geopandas()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:04.272790Z",
     "iopub.status.busy": "2024-11-06T14:20:04.272208Z",
     "iopub.status.idle": "2024-11-06T14:20:04.360285Z",
     "shell.execute_reply": "2024-11-06T14:20:04.359670Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now let's plot the network.\n",
    "df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read res1d into a GeoDataFrame (with quantities)\n",
    "\n",
    "- To include quantities, you need to go a bit deeper into the network (res.reaches instead of res.network).\n",
    "- Additionally, you need to specify how you would like to aggregate the results in time (and other dimensions like chainage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:04.361989Z",
     "iopub.status.busy": "2024-11-06T14:20:04.361653Z",
     "iopub.status.idle": "2024-11-06T14:20:04.746764Z",
     "shell.execute_reply": "2024-11-06T14:20:04.746088Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ryan/mikeio1d/mikeio1d/various.py:58: UserWarning: Could not parse projection string. Returning None.\n",
      "  warnings.warn(\"Could not parse projection string. Returning None.\")\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>group</th>\n",
       "      <th>name</th>\n",
       "      <th>tag</th>\n",
       "      <th>geometry</th>\n",
       "      <th>max_WaterLevel</th>\n",
       "      <th>max_Discharge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Reach</td>\n",
       "      <td>100l1</td>\n",
       "      <td>0.0-47.7</td>\n",
       "      <td>LINESTRING (-687887.601 -1056368.901, -687887....</td>\n",
       "      <td>196.808563</td>\n",
       "      <td>0.099751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Reach</td>\n",
       "      <td>101l1</td>\n",
       "      <td>0.0-66.4</td>\n",
       "      <td>LINESTRING (-687859.5 -1056308.7, -687859.5 -1...</td>\n",
       "      <td>196.880066</td>\n",
       "      <td>0.019202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Reach</td>\n",
       "      <td>102l1</td>\n",
       "      <td>0.0-10.9</td>\n",
       "      <td>LINESTRING (-687931.201 -1056476.501, -687931....</td>\n",
       "      <td>196.077560</td>\n",
       "      <td>0.326383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Reach</td>\n",
       "      <td>103l1</td>\n",
       "      <td>0.0-26.1</td>\n",
       "      <td>LINESTRING (-687847.1 -1056498.799, -687847.1 ...</td>\n",
       "      <td>196.522049</td>\n",
       "      <td>0.001056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Reach</td>\n",
       "      <td>104l1</td>\n",
       "      <td>0.0-34.4</td>\n",
       "      <td>LINESTRING (-687631.201 -1056393.199, -687631....</td>\n",
       "      <td>197.072220</td>\n",
       "      <td>0.000025</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   group   name       tag                                           geometry  \\\n",
       "0  Reach  100l1  0.0-47.7  LINESTRING (-687887.601 -1056368.901, -687887....   \n",
       "1  Reach  101l1  0.0-66.4  LINESTRING (-687859.5 -1056308.7, -687859.5 -1...   \n",
       "2  Reach  102l1  0.0-10.9  LINESTRING (-687931.201 -1056476.501, -687931....   \n",
       "3  Reach  103l1  0.0-26.1  LINESTRING (-687847.1 -1056498.799, -687847.1 ...   \n",
       "4  Reach  104l1  0.0-34.4  LINESTRING (-687631.201 -1056393.199, -687631....   \n",
       "\n",
       "   max_WaterLevel  max_Discharge  \n",
       "0      196.808563       0.099751  \n",
       "1      196.880066       0.019202  \n",
       "2      196.077560       0.326383  \n",
       "3      196.522049       0.001056  \n",
       "4      197.072220       0.000025  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here we read the reaches, and choose to get the maximum value of all available quantities.\n",
    "df_reaches = res.reaches.to_geopandas(agg=\"max\")\n",
    "df_reaches.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:04.748846Z",
     "iopub.status.busy": "2024-11-06T14:20:04.748254Z",
     "iopub.status.idle": "2024-11-06T14:20:05.000145Z",
     "shell.execute_reply": "2024-11-06T14:20:04.998679Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ryan/mikeio1d/mikeio1d/various.py:58: UserWarning: Could not parse projection string. Returning None.\n",
      "  warnings.warn(\"Could not parse projection string. Returning None.\")\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>group</th>\n",
       "      <th>name</th>\n",
       "      <th>geometry</th>\n",
       "      <th>max_WaterLevel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Node</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (-687934.6 -1056500.699)</td>\n",
       "      <td>195.669006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Node</td>\n",
       "      <td>2</td>\n",
       "      <td>POINT (-687914.8 -1056556.399)</td>\n",
       "      <td>195.822968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Node</td>\n",
       "      <td>3</td>\n",
       "      <td>POINT (-687907.899 -1056507)</td>\n",
       "      <td>195.881500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Node</td>\n",
       "      <td>4</td>\n",
       "      <td>POINT (-687918.199 -1056576.199)</td>\n",
       "      <td>194.661331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Node</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-687835.5 -1056565.2)</td>\n",
       "      <td>194.793060</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  group name                          geometry  max_WaterLevel\n",
       "0  Node    1    POINT (-687934.6 -1056500.699)      195.669006\n",
       "1  Node    2    POINT (-687914.8 -1056556.399)      195.822968\n",
       "2  Node    3      POINT (-687907.899 -1056507)      195.881500\n",
       "3  Node    4  POINT (-687918.199 -1056576.199)      194.661331\n",
       "4  Node    5      POINT (-687835.5 -1056565.2)      194.793060"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Similarly, we can do the same for nodes.\n",
    "df_nodes = res.nodes.to_geopandas(agg=\"max\")\n",
    "df_nodes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:05.003661Z",
     "iopub.status.busy": "2024-11-06T14:20:05.003010Z",
     "iopub.status.idle": "2024-11-06T14:20:05.154877Z",
     "shell.execute_reply": "2024-11-06T14:20:05.153726Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now let's plot the max discharge for each reach.\n",
    "df_reaches.plot(column=\"max_Discharge\", cmap=\"RdYlGn_r\", legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:05.159223Z",
     "iopub.status.busy": "2024-11-06T14:20:05.157963Z",
     "iopub.status.idle": "2024-11-06T14:20:05.311235Z",
     "shell.execute_reply": "2024-11-06T14:20:05.310671Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Similarly, we can do the same for nodes. Note we plot the reaches in the background for context.\n",
    "ax = df_reaches.plot(color=\"gray\", zorder=-1)\n",
    "df_nodes.plot(ax=ax, column=\"max_WaterLevel\", legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:05.313714Z",
     "iopub.status.busy": "2024-11-06T14:20:05.312993Z",
     "iopub.status.idle": "2024-11-06T14:20:05.438581Z",
     "shell.execute_reply": "2024-11-06T14:20:05.437878Z"
    }
   },
   "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>group</th>\n",
       "      <th>name</th>\n",
       "      <th>geometry</th>\n",
       "      <th>max_TotalRunOff</th>\n",
       "      <th>max_ActualRainfall</th>\n",
       "      <th>max_ZinkLoadRR</th>\n",
       "      <th>max_ZinkMassAccumulatedRR</th>\n",
       "      <th>max_ZinkRR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Catchment</td>\n",
       "      <td>100_16_16</td>\n",
       "      <td>POLYGON ((-687895.163 -1056385.779, -687849.02...</td>\n",
       "      <td>0.215565</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.021556</td>\n",
       "      <td>10.661672</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Catchment</td>\n",
       "      <td>105_1_1</td>\n",
       "      <td>POLYGON ((-687467.053 -1056337.76, -687566.378...</td>\n",
       "      <td>0.378048</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.037805</td>\n",
       "      <td>18.574373</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Catchment</td>\n",
       "      <td>10_22_22</td>\n",
       "      <td>POLYGON ((-687436.273 -1056620.891, -687515.47...</td>\n",
       "      <td>0.414988</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.041499</td>\n",
       "      <td>22.898754</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Catchment</td>\n",
       "      <td>113_21_21</td>\n",
       "      <td>POLYGON ((-687293.487 -1056430.077, -687392.14...</td>\n",
       "      <td>0.395227</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.039523</td>\n",
       "      <td>21.803301</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Catchment</td>\n",
       "      <td>118_30_30</td>\n",
       "      <td>POLYGON ((-687912.055 -1056002.872, -688031.24...</td>\n",
       "      <td>0.322125</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.032212</td>\n",
       "      <td>17.857996</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       group       name                                           geometry  \\\n",
       "0  Catchment  100_16_16  POLYGON ((-687895.163 -1056385.779, -687849.02...   \n",
       "1  Catchment    105_1_1  POLYGON ((-687467.053 -1056337.76, -687566.378...   \n",
       "2  Catchment   10_22_22  POLYGON ((-687436.273 -1056620.891, -687515.47...   \n",
       "3  Catchment  113_21_21  POLYGON ((-687293.487 -1056430.077, -687392.14...   \n",
       "4  Catchment  118_30_30  POLYGON ((-687912.055 -1056002.872, -688031.24...   \n",
       "\n",
       "   max_TotalRunOff  max_ActualRainfall  max_ZinkLoadRR  \\\n",
       "0         0.215565            0.000011        0.021556   \n",
       "1         0.378048            0.000011        0.037805   \n",
       "2         0.414988            0.000011        0.041499   \n",
       "3         0.395227            0.000011        0.039523   \n",
       "4         0.322125            0.000011        0.032212   \n",
       "\n",
       "   max_ZinkMassAccumulatedRR  max_ZinkRR  \n",
       "0                  10.661672       100.0  \n",
       "1                  18.574373       100.0  \n",
       "2                  22.898754       100.0  \n",
       "3                  21.803301       100.0  \n",
       "4                  17.857996       100.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finally, we look at a similar example but for catchments.\n",
    "res = mikeio1d.open(\"../tests/testdata/catchments.res1d\")\n",
    "df_catchments = res.catchments.to_geopandas(\"max\")\n",
    "df_catchments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:05.441114Z",
     "iopub.status.busy": "2024-11-06T14:20:05.440584Z",
     "iopub.status.idle": "2024-11-06T14:20:05.562157Z",
     "shell.execute_reply": "2024-11-06T14:20:05.561614Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's plot the catchment runoff.\n",
    "df_catchments.plot(column=\"max_TotalRunOff\", cmap=\"Blues\", legend=True, alpha=0.75)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interactive plotting with explore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add an interactive plot directly in the notebook\n",
    "\n",
    "Note: The map does not display on GitHub. You may use https://nbviewer.org/ to properly view the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:05.564518Z",
     "iopub.status.busy": "2024-11-06T14:20:05.563952Z",
     "iopub.status.idle": "2024-11-06T14:20:08.386747Z",
     "shell.execute_reply": "2024-11-06T14:20:08.385802Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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",
       "&lt;html&gt;\n",
       "&lt;head&gt;\n",
       "    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &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@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &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@1.9.3/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap-glyphicons.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.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_3e1192891a4c110d9c88dfecc41fa4cb {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "                .leaflet-container { font-size: 1rem; }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "    \n",
       "                    &lt;style&gt;\n",
       "                        .foliumtooltip {\n",
       "                            \n",
       "                        }\n",
       "                       .foliumtooltip table{\n",
       "                            margin: auto;\n",
       "                        }\n",
       "                        .foliumtooltip tr{\n",
       "                            text-align: left;\n",
       "                        }\n",
       "                        .foliumtooltip th{\n",
       "                            padding: 2px; padding-right: 8px;\n",
       "                        }\n",
       "                    &lt;/style&gt;\n",
       "            \n",
       "    \n",
       "                    &lt;style&gt;\n",
       "                        .foliumpopup {\n",
       "                            margin: auto;\n",
       "                        }\n",
       "                       .foliumpopup table{\n",
       "                            margin: auto;\n",
       "                        }\n",
       "                        .foliumpopup tr{\n",
       "                            text-align: left;\n",
       "                        }\n",
       "                        .foliumpopup th{\n",
       "                            padding: 2px; padding-right: 8px;\n",
       "                        }\n",
       "                    &lt;/style&gt;\n",
       "            \n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js&quot;&gt;&lt;/script&gt;\n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_3e1192891a4c110d9c88dfecc41fa4cb&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;\n",
       "    \n",
       "    \n",
       "            var map_3e1192891a4c110d9c88dfecc41fa4cb = L.map(\n",
       "                &quot;map_3e1192891a4c110d9c88dfecc41fa4cb&quot;,\n",
       "                {\n",
       "                    center: [-1056366.4501953125, -687695.2000427246],\n",
       "                    crs: L.CRS.Simple,\n",
       "                    zoom: 10,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "            L.control.scale().addTo(map_3e1192891a4c110d9c88dfecc41fa4cb);\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            map_3e1192891a4c110d9c88dfecc41fa4cb.fitBounds(\n",
       "                [[-1056709.4993896484, -688020.8009033203], [-1056023.4010009766, -687369.5991821289]],\n",
       "                {}\n",
       "            );\n",
       "        \n",
       "    \n",
       "        function geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_styler(feature) {\n",
       "            switch(feature.id) {\n",
       "                case &quot;0&quot;: case &quot;114&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#481769&quot;, &quot;fillColor&quot;: &quot;#481769&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;1&quot;: case &quot;34&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#450559&quot;, &quot;fillColor&quot;: &quot;#450559&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;2&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#414487&quot;, &quot;fillColor&quot;: &quot;#414487&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;3&quot;: case &quot;4&quot;: case &quot;6&quot;: case &quot;7&quot;: case &quot;8&quot;: case &quot;9&quot;: case &quot;11&quot;: case &quot;26&quot;: case &quot;38&quot;: case &quot;44&quot;: case &quot;49&quot;: case &quot;64&quot;: case &quot;65&quot;: case &quot;70&quot;: case &quot;72&quot;: case &quot;73&quot;: case &quot;75&quot;: case &quot;77&quot;: case &quot;81&quot;: case &quot;85&quot;: case &quot;86&quot;: case &quot;87&quot;: case &quot;90&quot;: case &quot;94&quot;: case &quot;95&quot;: case &quot;111&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#440154&quot;, &quot;fillColor&quot;: &quot;#440154&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;5&quot;: case &quot;29&quot;: case &quot;45&quot;: case &quot;46&quot;: case &quot;47&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482173&quot;, &quot;fillColor&quot;: &quot;#482173&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;10&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#424086&quot;, &quot;fillColor&quot;: &quot;#424086&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;12&quot;: case &quot;52&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#471365&quot;, &quot;fillColor&quot;: &quot;#471365&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;13&quot;: case &quot;36&quot;: case &quot;55&quot;: case &quot;61&quot;: case &quot;63&quot;: case &quot;110&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#440256&quot;, &quot;fillColor&quot;: &quot;#440256&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;14&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#472a7a&quot;, &quot;fillColor&quot;: &quot;#472a7a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;15&quot;: case &quot;109&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#481467&quot;, &quot;fillColor&quot;: &quot;#481467&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;16&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#fde725&quot;, &quot;fillColor&quot;: &quot;#fde725&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;17&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#481c6e&quot;, &quot;fillColor&quot;: &quot;#481c6e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;18&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3d4d8a&quot;, &quot;fillColor&quot;: &quot;#3d4d8a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;19&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482071&quot;, &quot;fillColor&quot;: &quot;#482071&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;20&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482979&quot;, &quot;fillColor&quot;: &quot;#482979&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;21&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#21918c&quot;, &quot;fillColor&quot;: &quot;#21918c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;22&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#2a788e&quot;, &quot;fillColor&quot;: &quot;#2a788e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;23&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#29798e&quot;, &quot;fillColor&quot;: &quot;#29798e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;24&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#33638d&quot;, &quot;fillColor&quot;: &quot;#33638d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;25&quot;: case &quot;97&quot;: case &quot;105&quot;: case &quot;117&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#443983&quot;, &quot;fillColor&quot;: &quot;#443983&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;27&quot;: case &quot;30&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#443b84&quot;, &quot;fillColor&quot;: &quot;#443b84&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;28&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482878&quot;, &quot;fillColor&quot;: &quot;#482878&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;31&quot;: case &quot;32&quot;: case &quot;33&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482677&quot;, &quot;fillColor&quot;: &quot;#482677&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;35&quot;: case &quot;59&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#450457&quot;, &quot;fillColor&quot;: &quot;#450457&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;37&quot;: case &quot;91&quot;: case &quot;92&quot;: case &quot;106&quot;: case &quot;108&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#471164&quot;, &quot;fillColor&quot;: &quot;#471164&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;39&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#470d60&quot;, &quot;fillColor&quot;: &quot;#470d60&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;40&quot;: case &quot;74&quot;: case &quot;76&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#460a5d&quot;, &quot;fillColor&quot;: &quot;#460a5d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;41&quot;: case &quot;53&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#460b5e&quot;, &quot;fillColor&quot;: &quot;#460b5e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;42&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#404688&quot;, &quot;fillColor&quot;: &quot;#404688&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;43&quot;: case &quot;48&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#472d7b&quot;, &quot;fillColor&quot;: &quot;#472d7b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;50&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482475&quot;, &quot;fillColor&quot;: &quot;#482475&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;51&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#481a6c&quot;, &quot;fillColor&quot;: &quot;#481a6c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;54&quot;: case &quot;78&quot;: case &quot;79&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#46085c&quot;, &quot;fillColor&quot;: &quot;#46085c&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;56&quot;: case &quot;57&quot;: case &quot;58&quot;: case &quot;67&quot;: case &quot;68&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#470e61&quot;, &quot;fillColor&quot;: &quot;#470e61&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;60&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#287c8e&quot;, &quot;fillColor&quot;: &quot;#287c8e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;62&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#482576&quot;, &quot;fillColor&quot;: &quot;#482576&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;66&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#433e85&quot;, &quot;fillColor&quot;: &quot;#433e85&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;69&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3a538b&quot;, &quot;fillColor&quot;: &quot;#3a538b&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;71&quot;: case &quot;93&quot;: case &quot;104&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#26828e&quot;, &quot;fillColor&quot;: &quot;#26828e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;80&quot;: case &quot;83&quot;: case &quot;84&quot;: case &quot;88&quot;: case &quot;89&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#46075a&quot;, &quot;fillColor&quot;: &quot;#46075a&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;82&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#228c8d&quot;, &quot;fillColor&quot;: &quot;#228c8d&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;96&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#32658e&quot;, &quot;fillColor&quot;: &quot;#32658e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;98&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#433d84&quot;, &quot;fillColor&quot;: &quot;#433d84&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;102&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#463480&quot;, &quot;fillColor&quot;: &quot;#463480&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;103&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#453581&quot;, &quot;fillColor&quot;: &quot;#453581&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;107&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#471063&quot;, &quot;fillColor&quot;: &quot;#471063&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;112&quot;: case &quot;113&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#481668&quot;, &quot;fillColor&quot;: &quot;#481668&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;115&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#23888e&quot;, &quot;fillColor&quot;: &quot;#23888e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                case &quot;116&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#c5e021&quot;, &quot;fillColor&quot;: &quot;#c5e021&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "                default:\n",
       "                    return {&quot;color&quot;: &quot;#46307e&quot;, &quot;fillColor&quot;: &quot;#46307e&quot;, &quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "            }\n",
       "        }\n",
       "        function geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_highlighter(feature) {\n",
       "            switch(feature.id) {\n",
       "                default:\n",
       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
       "            }\n",
       "        }\n",
       "        function geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_pointToLayer(feature, latlng) {\n",
       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
       "            \n",
       "            let style = geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_styler(feature)\n",
       "            Object.assign(opts, style)\n",
       "            \n",
       "            return new L.CircleMarker(latlng, opts)\n",
       "        }\n",
       "\n",
       "        function geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_onEachFeature(feature, layer) {\n",
       "            layer.on({\n",
       "                mouseout: function(e) {\n",
       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
       "                            geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8.resetStyle(e.target);\n",
       "                    }\n",
       "                },\n",
       "                mouseover: function(e) {\n",
       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
       "                        const highlightStyle = geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_highlighter(e.target.feature)\n",
       "                        e.target.setStyle(highlightStyle);\n",
       "                    }\n",
       "                },\n",
       "            });\n",
       "        };\n",
       "        var geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8 = L.geoJson(null, {\n",
       "                onEachFeature: geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_onEachFeature,\n",
       "            \n",
       "                style: geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_styler,\n",
       "                pointToLayer: geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_pointToLayer,\n",
       "        });\n",
       "\n",
       "        function geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8_add (data) {\n",
       "            geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8\n",
       "                .addData(data);\n",
       "        }\n",
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&quot;Feature&quot;}, {&quot;bbox&quot;: [-687740.200378418, -1056305.000427246, -687647.4011230469, -1056237.80078125], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687647.4011230469, -1056305.000427246], [-687647.4011230469, -1056305.000427246], [-687670.6009368896, -1056288.200515747], [-687693.8007507324, -1056271.400604248], [-687717.0005645752, -1056254.600692749], [-687740.200378418, -1056237.80078125], [-687740.200378418, -1056237.80078125]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;105&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#443983&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.27117177844047546, &quot;max_WaterLevel&quot;: 198.34243774414062, &quot;name&quot;: &quot;90l1&quot;, &quot;tag&quot;: &quot;0.0-114.6&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687647.4011230469, -1056305.000427246, -687611.6010131836, -1056273.1002807617], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687611.6010131836, -1056273.1002807617], [-687611.6010131836, -1056273.1002807617], [-687629.5010681152, -1056289.050354004], [-687647.4011230469, -1056305.000427246], [-687647.4011230469, -1056305.000427246]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;106&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#471164&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.07110153138637543, &quot;max_WaterLevel&quot;: 198.5537567138672, &quot;name&quot;: &quot;91l1&quot;, &quot;tag&quot;: &quot;0.0-48.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687611.6010131836, -1056273.1002807617, -687588.799987793, -1056248.0988769531], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687588.799987793, -1056248.0988769531], [-687588.799987793, -1056248.0988769531], [-687600.2005004883, -1056260.5995788574], [-687611.6010131836, -1056273.1002807617], [-687611.6010131836, -1056273.1002807617]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;107&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#471063&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.06748456507921219, &quot;max_WaterLevel&quot;: 198.6054229736328, &quot;name&quot;: &quot;92l1&quot;, &quot;tag&quot;: &quot;0.0-33.8&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687588.799987793, -1056248.0988769531, -687552.9998779297, -1056214.3989868164], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687552.9998779297, -1056214.3989868164], [-687552.9998779297, -1056214.3989868164], [-687570.8999328613, -1056231.2489318848], [-687588.799987793, -1056248.0988769531], [-687588.799987793, -1056248.0988769531]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;108&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#471164&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.07178615033626556, &quot;max_WaterLevel&quot;: 198.67498779296875, &quot;name&quot;: &quot;93l1&quot;, &quot;tag&quot;: &quot;0.0-49.2&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687533.3001098633, -1056265.6007080078, -687527.7005004883, -1056223.4002075195], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687527.7005004883, -1056265.6007080078], [-687527.7005004883, -1056265.6007080078], [-687530.5003051758, -1056244.5004577637], [-687533.3001098633, -1056223.4002075195], [-687533.3001098633, -1056223.4002075195]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;109&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481467&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.0842847004532814, &quot;max_WaterLevel&quot;: 199.12982177734375, &quot;name&quot;: &quot;94l1&quot;, &quot;tag&quot;: &quot;0.0-42.6&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687527.7005004883, -1056309.2006835938, -687522.5991821289, -1056265.6007080078], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687522.5991821289, -1056309.2006835938], [-687522.5991821289, -1056309.2006835938], [-687525.1498413086, -1056287.4006958008], [-687527.7005004883, -1056265.6007080078], [-687527.7005004883, -1056265.6007080078]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;110&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#440256&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.008788511157035828, &quot;max_WaterLevel&quot;: 199.23451232910156, &quot;name&quot;: &quot;95l1&quot;, &quot;tag&quot;: &quot;0.0-43.9&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687647.4011230469, -1056332.1997070312, -687635.1007080078, -1056305.000427246], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687635.1007080078, -1056332.1997070312], [-687635.1007080078, -1056332.1997070312], [-687641.2509155273, -1056318.6000671387], [-687647.4011230469, -1056305.000427246], [-687647.4011230469, -1056305.000427246]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;111&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#440154&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.0052521307952702045, &quot;max_WaterLevel&quot;: 198.50375366210938, &quot;name&quot;: &quot;96l1&quot;, &quot;tag&quot;: &quot;0.0-29.9&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687935.2008056641, -1056476.5010986328, -687931.2006835938, -1056465.8001098633], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687935.2008056641, -1056465.8001098633], [-687935.2008056641, -1056465.8001098633], [-687933.2007446289, -1056471.150604248], [-687931.2006835938, -1056476.5010986328], [-687931.2006835938, -1056476.5010986328]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;112&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481668&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.08958256989717484, &quot;max_WaterLevel&quot;: 196.1864776611328, &quot;name&quot;: &quot;97l1&quot;, &quot;tag&quot;: &quot;0.0-11.4&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687935.2008056641, -1056465.8001098633, -687925.9993286133, -1056452.698791504], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687925.9993286133, -1056452.698791504], [-687925.9993286133, -1056452.698791504], [-687930.6000671387, -1056459.2494506836], [-687935.2008056641, -1056465.8001098633], [-687935.2008056641, -1056465.8001098633]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;113&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481668&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.09246139973402023, &quot;max_WaterLevel&quot;: 196.314697265625, &quot;name&quot;: &quot;98l1&quot;, &quot;tag&quot;: &quot;0.0-16.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687925.9993286133, -1056452.698791504, -687907.999206543, -1056412.0], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687907.999206543, -1056412.0], [-687907.999206543, -1056412.0], [-687916.9992675781, -1056432.349395752], [-687925.9993286133, -1056452.698791504], [-687925.9993286133, -1056452.698791504]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;114&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#481769&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.09570194035768509, &quot;max_WaterLevel&quot;: 196.55276489257812, &quot;name&quot;: &quot;99l1&quot;, &quot;tag&quot;: &quot;0.0-44.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687593.8989868164, -1056502.2009887695, -687587.6008911133, -1056501.400024414], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687587.6008911133, -1056502.2009887695], [-687587.6008911133, -1056502.2009887695], [-687590.7499389648, -1056501.8005065918], [-687593.8989868164, -1056501.400024414], [-687593.8989868164, -1056501.400024414]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;115&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#23888e&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.761049211025238, &quot;max_WaterLevel&quot;: 195.1750946044922, &quot;name&quot;: &quot;9l1&quot;, &quot;tag&quot;: &quot;0.0-10.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-687942.8002929688, -1056652.400024414, -687941.8002929688, -1056652.400024414], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-687942.8002929688, -1056652.400024414], [-687942.8002929688, -1056652.400024414], [-687942.3002929688, -1056652.400024414], [-687941.8002929688, -1056652.400024414], [-687941.8002929688, -1056652.400024414]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;116&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#c5e021&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 1.491186261177063, &quot;max_WaterLevel&quot;: 194.03335571289062, &quot;name&quot;: &quot;Weir:119w1&quot;, &quot;tag&quot;: &quot;0.0-1.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-688012.1000976562, -1056246.8997802734, -688009.8997802734, -1056164.5010986328], &quot;geometry&quot;: {&quot;coordinates&quot;: [[-688009.8997802734, -1056164.5010986328], [-688009.8997802734, -1056164.5010986328], [-688010.9999389648, -1056205.7004394531], [-688012.1000976562, -1056246.8997802734], [-688012.1000976562, -1056246.8997802734]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;117&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#443983&quot;, &quot;group&quot;: &quot;Reach&quot;, &quot;max_Discharge&quot;: 0.2715153694152832, &quot;max_WaterLevel&quot;: 195.3955078125, &quot;name&quot;: &quot;Pump:115p1&quot;, &quot;tag&quot;: &quot;0.0-82.4&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "    geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8.bindTooltip(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;name&quot;, &quot;max_Discharge&quot;];\n",
       "    let aliases = [&quot;name&quot;, &quot;max_Discharge&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
       "                     \n",
       "    \n",
       "    geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8.bindPopup(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;group&quot;, &quot;name&quot;, &quot;tag&quot;, &quot;max_WaterLevel&quot;, &quot;max_Discharge&quot;];\n",
       "    let aliases = [&quot;group&quot;, &quot;name&quot;, &quot;tag&quot;, &quot;max_WaterLevel&quot;, &quot;max_Discharge&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i].toLocaleString()}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v]).toLocaleString()}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumpopup&quot;});\n",
       "                     \n",
       "    \n",
       "            geo_json_3d79c3ce5a8b0af46f7f4e7cf75579b8.addTo(map_3e1192891a4c110d9c88dfecc41fa4cb);\n",
       "        \n",
       "    \n",
       "    var color_map_51e19aa1ee2eda06ab98551e44a8e012 = {};\n",
       "\n",
       "    \n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.color = d3.scale.threshold()\n",
       "              .domain([1.6153337583091343e-06, 0.003272866364568472, 0.006544117350131273, 0.009815367870032787, 0.013086618855595589, 0.016357870772480965, 0.01962912082672119, 0.022900370880961418, 0.026171622797846794, 0.02944287471473217, 0.032714128494262695, 0.03598537668585777, 0.03925662860274315, 0.042527880519628525, 0.0457991287112236, 0.04907038062810898, 0.052341632544994354, 0.05561288446187973, 0.058884136378765106, 0.062155384570360184, 0.06542664021253586, 0.06869788467884064, 0.07196913659572601, 0.07524038851261139, 0.07851164042949677, 0.08178289234638214, 0.08505414426326752, 0.0883253961801529, 0.09159664064645767, 0.09486789256334305, 0.09813914448022842, 0.1014103963971138, 0.10468164831399918, 0.10795290023088455, 0.11122415214776993, 0.1144954040646553, 0.11776665598154068, 0.12103790044784546, 0.12430915236473083, 0.1275804042816162, 0.1308516561985016, 0.13412289321422577, 0.13739414513111115, 0.14066539704799652, 0.1439366489648819, 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&#x27;#dbe318ff&#x27;, &#x27;#dde318ff&#x27;, &#x27;#dee318ff&#x27;, &#x27;#dfe318ff&#x27;, &#x27;#e0e418ff&#x27;, &#x27;#e2e418ff&#x27;, &#x27;#e3e418ff&#x27;, &#x27;#e5e418ff&#x27;, &#x27;#e6e419ff&#x27;, &#x27;#e7e419ff&#x27;, &#x27;#e8e519ff&#x27;, &#x27;#eae519ff&#x27;, &#x27;#ebe51aff&#x27;, &#x27;#ece51aff&#x27;, &#x27;#ede51bff&#x27;, &#x27;#efe51bff&#x27;, &#x27;#f0e51cff&#x27;, &#x27;#f1e51dff&#x27;, &#x27;#f3e61dff&#x27;, &#x27;#f4e61eff&#x27;, &#x27;#f5e61eff&#x27;, &#x27;#f6e61fff&#x27;, &#x27;#f7e620ff&#x27;, &#x27;#f8e621ff&#x27;, &#x27;#fae722ff&#x27;, &#x27;#fbe723ff&#x27;, &#x27;#fce724ff&#x27;, &#x27;#fde725ff&#x27;]);\n",
       "    \n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.x = d3.scale.linear()\n",
       "              .domain([1.6153337583091343e-06, 1.6323559284210205])\n",
       "              .range([0, 450 - 50]);\n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.legend = L.control({position: &#x27;topright&#x27;});\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.legend.onAdd = function (map) {var div = L.DomUtil.create(&#x27;div&#x27;, &#x27;legend&#x27;); return div};\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.legend.addTo(map_3e1192891a4c110d9c88dfecc41fa4cb);\n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.xAxis = d3.svg.axis()\n",
       "        .scale(color_map_51e19aa1ee2eda06ab98551e44a8e012.x)\n",
       "        .orient(&quot;top&quot;)\n",
       "        .tickSize(1)\n",
       "        .tickValues([1.6153337583091343e-06, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 0.16643773019313812, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 0.3328738510608673, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 0.4993099570274353, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 0.6657460927963257, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 0.8321822285652161, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 0.9986183047294617, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 1.165054440498352, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 1.3314906358718872, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, 1.4979267120361328, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;]);\n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.svg = d3.select(&quot;.legend.leaflet-control&quot;).append(&quot;svg&quot;)\n",
       "        .attr(&quot;id&quot;, &#x27;legend&#x27;)\n",
       "        .attr(&quot;width&quot;, 450)\n",
       "        .attr(&quot;height&quot;, 40);\n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.g = color_map_51e19aa1ee2eda06ab98551e44a8e012.svg.append(&quot;g&quot;)\n",
       "        .attr(&quot;class&quot;, &quot;key&quot;)\n",
       "        .attr(&quot;fill&quot;, &quot;black&quot;)\n",
       "        .attr(&quot;transform&quot;, &quot;translate(25,16)&quot;);\n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.g.selectAll(&quot;rect&quot;)\n",
       "        .data(color_map_51e19aa1ee2eda06ab98551e44a8e012.color.range().map(function(d, i) {\n",
       "          return {\n",
       "            x0: i ? color_map_51e19aa1ee2eda06ab98551e44a8e012.x(color_map_51e19aa1ee2eda06ab98551e44a8e012.color.domain()[i - 1]) : color_map_51e19aa1ee2eda06ab98551e44a8e012.x.range()[0],\n",
       "            x1: i &lt; color_map_51e19aa1ee2eda06ab98551e44a8e012.color.domain().length ? color_map_51e19aa1ee2eda06ab98551e44a8e012.x(color_map_51e19aa1ee2eda06ab98551e44a8e012.color.domain()[i]) : color_map_51e19aa1ee2eda06ab98551e44a8e012.x.range()[1],\n",
       "            z: d\n",
       "          };\n",
       "        }))\n",
       "      .enter().append(&quot;rect&quot;)\n",
       "        .attr(&quot;height&quot;, 40 - 30)\n",
       "        .attr(&quot;x&quot;, function(d) { return d.x0; })\n",
       "        .attr(&quot;width&quot;, function(d) { return d.x1 - d.x0; })\n",
       "        .style(&quot;fill&quot;, function(d) { return d.z; });\n",
       "\n",
       "    color_map_51e19aa1ee2eda06ab98551e44a8e012.g.call(color_map_51e19aa1ee2eda06ab98551e44a8e012.xAxis).append(&quot;text&quot;)\n",
       "        .attr(&quot;class&quot;, &quot;caption&quot;)\n",
       "        .attr(&quot;y&quot;, 21)\n",
       "        .attr(&quot;fill&quot;, &quot;black&quot;)\n",
       "        .text(&quot;max_Discharge&quot;);\n",
       "&lt;/script&gt;\n",
       "&lt;/html&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 0x7ebdc28084a0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map = df_reaches.explore(\n",
    "    column=\"max_Discharge\",\n",
    "    legend=True,\n",
    "    tiles=\"cartodb positron\",\n",
    "    tooltip=[\"name\", \"max_Discharge\"],\n",
    "    popup=True,\n",
    ")\n",
    "map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save your interactive map into a shareable HTML file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:08.390462Z",
     "iopub.status.busy": "2024-11-06T14:20:08.389616Z",
     "iopub.status.idle": "2024-11-06T14:20:08.410253Z",
     "shell.execute_reply": "2024-11-06T14:20:08.409680Z"
    }
   },
   "outputs": [],
   "source": [
    "map.save(\"results.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export to shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:08.412422Z",
     "iopub.status.busy": "2024-11-06T14:20:08.412025Z",
     "iopub.status.idle": "2024-11-06T14:20:08.415277Z",
     "shell.execute_reply": "2024-11-06T14:20:08.414516Z"
    }
   },
   "outputs": [],
   "source": [
    "# Shapefile fields are limited to 10 characters.\n",
    "for df in [df_reaches, df_nodes, df_catchments]:\n",
    "    df.columns = [col[:10] for col in df.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:08.416981Z",
     "iopub.status.busy": "2024-11-06T14:20:08.416748Z",
     "iopub.status.idle": "2024-11-06T14:20:08.610232Z",
     "shell.execute_reply": "2024-11-06T14:20:08.608642Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ryan/mikeio1d/.venv/lib/python3.12/site-packages/pyogrio/geopandas.py:662: UserWarning: 'crs' was not provided.  The output dataset will not have projection information defined and may not be usable in other systems.\n",
      "  write(\n",
      "/home/ryan/mikeio1d/.venv/lib/python3.12/site-packages/pyogrio/geopandas.py:662: UserWarning: 'crs' was not provided.  The output dataset will not have projection information defined and may not be usable in other systems.\n",
      "  write(\n"
     ]
    }
   ],
   "source": [
    "# Shapefiles require all geometries to be of the same type\n",
    "df_reaches.to_file(\"reaches.shp\")\n",
    "df_nodes.to_file(\"nodes.shp\")\n",
    "df_catchments.to_file(\"catchments.shp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-06T14:20:08.613514Z",
     "iopub.status.busy": "2024-11-06T14:20:08.612996Z",
     "iopub.status.idle": "2024-11-06T14:20:08.620256Z",
     "shell.execute_reply": "2024-11-06T14:20:08.619606Z"
    }
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "files_to_delete = []\n",
    "for p in (\"results.html\", \"reaches*\", \"nodes*\", \"catchments*\"):\n",
    "    files_to_delete = [*files_to_delete, *Path.glob(Path.cwd(), p)]\n",
    "\n",
    "for f in files_to_delete:\n",
    "    f.unlink()"
   ]
  }
 ],
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