mapa_con_kepler.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import keplergl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install pyproj --upgrade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>DEPTO</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>POINT (-56.17403 -34.86347)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>POINT (-56.81555 -30.40706)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>POINT (-56.04615 -34.70481)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>POINT (-54.04713 -32.41253)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-57.74211 -34.23199)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   DEPTO                     geometry\n",
       "0      1  POINT (-56.17403 -34.86347)\n",
       "1      2  POINT (-56.81555 -30.40706)\n",
       "2      3  POINT (-56.04615 -34.70481)\n",
       "3      4  POINT (-54.04713 -32.41253)\n",
       "4      5  POINT (-57.74211 -34.23199)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# centro de población\n",
    "centro_pobl = gpd.read_file('capas/centro_poblacion.gpkg').to_crs('EPSG:4326')\n",
    "centro_pobl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>depto_origen</th>\n",
       "      <th>depto_destino</th>\n",
       "      <th>personas_mig</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   depto_origen  depto_destino  personas_mig\n",
       "0             1              2           914\n",
       "1             3              2            74\n",
       "2             4              2            15\n",
       "3             5              2            28\n",
       "4             6              2            32"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('tablas/datos_diadas_2011.csv')\n",
    "cols = ['depto_origen', 'depto_destino', 'personas_mig']\n",
    "data = data[cols]\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>DEPTO</th>\n",
       "      <th>geometry</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>POINT (-56.17403 -34.86347)</td>\n",
       "      <td>-56.174030</td>\n",
       "      <td>-34.863473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>POINT (-56.81555 -30.40706)</td>\n",
       "      <td>-56.815547</td>\n",
       "      <td>-30.407062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>POINT (-56.04615 -34.70481)</td>\n",
       "      <td>-56.046153</td>\n",
       "      <td>-34.704806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>POINT (-54.04713 -32.41253)</td>\n",
       "      <td>-54.047130</td>\n",
       "      <td>-32.412531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-57.74211 -34.23199)</td>\n",
       "      <td>-57.742109</td>\n",
       "      <td>-34.231989</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   DEPTO                     geometry          x          y\n",
       "0      1  POINT (-56.17403 -34.86347) -56.174030 -34.863473\n",
       "1      2  POINT (-56.81555 -30.40706) -56.815547 -30.407062\n",
       "2      3  POINT (-56.04615 -34.70481) -56.046153 -34.704806\n",
       "3      4  POINT (-54.04713 -32.41253) -54.047130 -32.412531\n",
       "4      5  POINT (-57.74211 -34.23199) -57.742109 -34.231989"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "centro_pobl['x'] = centro_pobl.geometry.x\n",
    "centro_pobl['y'] = centro_pobl.geometry.y\n",
    "centro_pobl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>depto_origen</th>\n",
       "      <th>depto_destino</th>\n",
       "      <th>personas_mig</th>\n",
       "      <th>lon_ori</th>\n",
       "      <th>lat_ori</th>\n",
       "      <th>lon_des</th>\n",
       "      <th>lat_des</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>914</td>\n",
       "      <td>-56.174030</td>\n",
       "      <td>-34.863473</td>\n",
       "      <td>-56.815547</td>\n",
       "      <td>-30.407062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>74</td>\n",
       "      <td>-56.046153</td>\n",
       "      <td>-34.704806</td>\n",
       "      <td>-56.815547</td>\n",
       "      <td>-30.407062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>-54.047130</td>\n",
       "      <td>-32.412531</td>\n",
       "      <td>-56.815547</td>\n",
       "      <td>-30.407062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>-57.742109</td>\n",
       "      <td>-34.231989</td>\n",
       "      <td>-56.815547</td>\n",
       "      <td>-30.407062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "      <td>-56.270983</td>\n",
       "      <td>-33.291036</td>\n",
       "      <td>-56.815547</td>\n",
       "      <td>-30.407062</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   depto_origen  depto_destino  personas_mig    lon_ori    lat_ori    lon_des  \\\n",
       "0             1              2           914 -56.174030 -34.863473 -56.815547   \n",
       "1             3              2            74 -56.046153 -34.704806 -56.815547   \n",
       "2             4              2            15 -54.047130 -32.412531 -56.815547   \n",
       "3             5              2            28 -57.742109 -34.231989 -56.815547   \n",
       "4             6              2            32 -56.270983 -33.291036 -56.815547   \n",
       "\n",
       "     lat_des  \n",
       "0 -30.407062  \n",
       "1 -30.407062  \n",
       "2 -30.407062  \n",
       "3 -30.407062  \n",
       "4 -30.407062  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = data.merge(centro_pobl, left_on='depto_origen', right_on='DEPTO')\n",
    "data2 = data1.merge(centro_pobl, left_on='depto_destino', right_on='DEPTO')\n",
    "\n",
    "dict_rename={'x_x':'lon_ori','y_x':'lat_ori','x_y':'lon_des','y_y':'lat_des'}\n",
    "data2.rename(columns=dict_rename, inplace=True)\n",
    "\n",
    "cols = ['depto_origen', 'depto_destino', 'personas_mig',\n",
    "        'lon_ori', 'lat_ori', 'lon_des', 'lat_des']\n",
    "\n",
    "data_depu = data2.loc[:, cols]\n",
    "\n",
    "data_depu.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User Guide: https://docs.kepler.gl/docs/keplergl-jupyter\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "87c7118ac34c4fc89fa1f22226355c52",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "KeplerGl(config={'version': 'v1', 'config': {'visState': {'filters': [], 'layers': [{'id': 'rvymky2', 'type': …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "config = {\n",
    "  \"version\": \"v1\",\n",
    "  \"config\": {\n",
    "    \"visState\": {\n",
    "      \"filters\": [],\n",
    "      \"layers\": [\n",
    "        {\n",
    "          \"id\": \"rvymky2\",\n",
    "          \"type\": \"arc\",\n",
    "          \"config\": {\n",
    "            \"dataId\": \"migraciones\",\n",
    "            \"label\": \"mig. recientes\",\n",
    "            \"color\": [\n",
    "              221,\n",
    "              178,\n",
    "              124\n",
    "            ],\n",
    "            \"columns\": {\n",
    "              \"lat0\": \"lat_ori\",\n",
    "              \"lng0\": \"lon_ori\",\n",
    "              \"lat1\": \"lat_des\",\n",
    "              \"lng1\": \"lon_des\"\n",
    "            },\n",
    "            \"isVisible\": True,\n",
    "            \"visConfig\": {\n",
    "              \"opacity\": 0.8,\n",
    "              \"thickness\": 2,\n",
    "              \"colorRange\": {\n",
    "                \"name\": \"Global Warming\",\n",
    "                \"type\": \"sequential\",\n",
    "                \"category\": \"Uber\",\n",
    "                \"colors\": [\n",
    "                  \"#5A1846\",\n",
    "                  \"#900C3F\",\n",
    "                  \"#C70039\",\n",
    "                  \"#E3611C\",\n",
    "                  \"#F1920E\",\n",
    "                  \"#FFC300\"\n",
    "                ]\n",
    "              },\n",
    "              \"sizeRange\": [\n",
    "                0,\n",
    "                10\n",
    "              ],\n",
    "              \"targetColor\": [\n",
    "                30,\n",
    "                150,\n",
    "                190\n",
    "              ]\n",
    "            },\n",
    "            \"hidden\": False,\n",
    "            \"textLabel\": [\n",
    "              {\n",
    "                \"field\": 'personas_mig',\n",
    "                \"size\": 18,\n",
    "                \"anchor\": \"start\",\n",
    "                \"alignment\": \"center\"\n",
    "              }\n",
    "            ]\n",
    "          },\n",
    "          \"visualChannels\": {\n",
    "            \"colorField\": None,\n",
    "            \"colorScale\": \"quantile\",\n",
    "            \"sizeField\": {\n",
    "              \"name\": \"personas_mig\",\n",
    "              \"type\": \"integer\"\n",
    "            },\n",
    "            \"sizeScale\": \"sqrt\"\n",
    "          }\n",
    "        }\n",
    "      ],\n",
    "      \"interactionConfig\": {\n",
    "        \"tooltip\": {\n",
    "          \"fieldsToShow\": {\n",
    "            \"migraciones\": [\n",
    "              \"personas_mig\"\n",
    "            ]\n",
    "          },\n",
    "          \"enabled\": True\n",
    "        },\n",
    "        \"brush\": {\n",
    "          \"size\": 0.5,\n",
    "          \"enabled\": False\n",
    "        },\n",
    "      \"layerBlending\": \"normal\",\n",
    "      \"splitMaps\": [],\n",
    "      \"animationConfig\": {\n",
    "        \"currentTime\": None,\n",
    "        \"speed\": 1\n",
    "      }\n",
    "    },\n",
    "    \"mapState\": {\n",
    "      \"bearing\": 0,\n",
    "      \"dragRotate\": False,\n",
    "      \"latitude\": -32.5,\n",
    "      \"longitude\": -58.54,\n",
    "      \"pitch\": 0,\n",
    "      \"zoom\": 5.8,\n",
    "      \"isSplit\": False\n",
    "    },\n",
    "      \"mapStyles\": {}\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "\n",
    "kepler_map = keplergl.KeplerGl(height=500, config=config)\n",
    "\n",
    "kepler_map.add_data(data=data_depu, name='migraciones')\n",
    "\n",
    "kepler_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "kepler_map.save_to_html(file_name='kepler_map.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User Guide: https://docs.kepler.gl/docs/keplergl-jupyter\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "861c19f6f8da49aa8750401044d8171b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "KeplerGl(config={'version': 'v1', 'config': {'visState': {'filters': [], 'layers': [{'id': 'rvymky2', 'type': …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "config = {\n",
    "  \"version\": \"v1\",\n",
    "  \"config\": {\n",
    "    \"visState\": {\n",
    "      \"filters\": [],\n",
    "      \"layers\": [\n",
    "        {\n",
    "          \"id\": \"rvymky2\",\n",
    "          \"type\": \"line\",\n",
    "          \"config\": {\n",
    "            \"dataId\": \"migraciones\",\n",
    "            \"label\": \"mig. recientes\",\n",
    "            \"color\": [\n",
    "              210,\n",
    "              0,\n",
    "              0\n",
    "            ],\n",
    "            \"columns\": {\n",
    "              \"lat0\": \"lat_ori\",\n",
    "              \"lng0\": \"lon_ori\",\n",
    "              \"lat1\": \"lat_des\",\n",
    "              \"lng1\": \"lon_des\"\n",
    "            },\n",
    "            \"isVisible\": True,\n",
    "            \"visConfig\": {\n",
    "              \"opacity\": 0.8,\n",
    "              \"thickness\": 2,\n",
    "              \"colorRange\": {\n",
    "                \"name\": \"Global Warming\",\n",
    "                \"type\": \"sequential\",\n",
    "                \"category\": \"Uber\",\n",
    "                \"colors\": [\n",
    "                  \"#5A1846\",\n",
    "                  \"#900C3F\",\n",
    "                  \"#C70039\",\n",
    "                  \"#E3611C\",\n",
    "                  \"#F1920E\",\n",
    "                  \"#FFC300\"\n",
    "                ]\n",
    "              },\n",
    "              \"sizeRange\": [\n",
    "                0,\n",
    "                10\n",
    "              ],\n",
    "              \"targetColor\": [\n",
    "                239,\n",
    "                93,\n",
    "                40\n",
    "              ]\n",
    "            },\n",
    "            \"hidden\": False,\n",
    "            \"textLabel\": [\n",
    "              {\n",
    "                \"field\": None,\n",
    "                \"color\": [\n",
    "                  255,\n",
    "                  255,\n",
    "                  255\n",
    "                ],\n",
    "                \"size\": 18,\n",
    "                \"offset\": [\n",
    "                  0,\n",
    "                  0\n",
    "                ],\n",
    "                \"anchor\": \"start\",\n",
    "                \"alignment\": \"center\"\n",
    "              }\n",
    "            ]\n",
    "          },\n",
    "          \"visualChannels\": {\n",
    "            \"colorField\": None,\n",
    "            \"colorScale\": \"quantile\",\n",
    "            \"sizeField\": {\n",
    "              \"name\": \"personas_mig\",\n",
    "              \"type\": \"integer\"\n",
    "            },\n",
    "            \"sizeScale\": \"sqrt\"\n",
    "          }\n",
    "        }\n",
    "      ],\n",
    "      \"interactionConfig\": {\n",
    "        \"tooltip\": {\n",
    "          \"fieldsToShow\": {\n",
    "            \"migraciones\": [\n",
    "              \"personas_mig\"\n",
    "            ]\n",
    "          },\n",
    "          \"enabled\": True\n",
    "        },\n",
    "        \"brush\": {\n",
    "          \"size\": 0.5,\n",
    "          \"enabled\": False\n",
    "        },\n",
    "        \"geocoder\": {\n",
    "          \"enabled\": False\n",
    "        },\n",
    "        \"coordinate\": {\n",
    "          \"enabled\": False\n",
    "        }\n",
    "      },\n",
    "      \"layerBlending\": \"additive\",\n",
    "      \"splitMaps\": [],\n",
    "      \"animationConfig\": {\n",
    "        \"currentTime\": None,\n",
    "        \"speed\": 1\n",
    "      }\n",
    "    },\n",
    "    \"mapState\": {\n",
    "      \"bearing\": 0,\n",
    "      \"dragRotate\": False,\n",
    "      \"latitude\": -32.69955214354743,\n",
    "      \"longitude\": -55.75570733322271,\n",
    "      \"pitch\": 0,\n",
    "      \"zoom\": 6,\n",
    "      \"isSplit\": False\n",
    "    },\n",
    "    \"mapStyle\": {\n",
    "      \"styleType\": \"dark\",\n",
    "      \"topLayerGroups\": {},\n",
    "      \"visibleLayerGroups\": {\n",
    "        \"label\": True,\n",
    "        \"road\": True,\n",
    "        \"border\": False,\n",
    "        \"building\": True,\n",
    "        \"water\": True,\n",
    "        \"land\": True,\n",
    "        \"3d building\": False\n",
    "      },\n",
    "      \"threeDBuildingColor\": [\n",
    "        9.665468314072013,\n",
    "        17.18305478057247,\n",
    "        31.1442867897876\n",
    "      ],\n",
    "      \"mapStyles\": {}\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "\n",
    "kepler_map = keplergl.KeplerGl(height=500, config=config)\n",
    "\n",
    "kepler_map.add_data(data=data_depu, name='migraciones')\n",
    "\n",
    "kepler_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Map saved to kepler_map_lines.html!\n"
     ]
    }
   ],
   "source": [
    "kepler_map.save_to_html(file_name='kepler_map_lines.html')"
   ]
  }
 ],
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