examples/30_leaflet_mapping.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "2dc9a13a-8eda-41a2-b82e-0fa6dcdba165",
      "metadata": {
        "id": "2dc9a13a-8eda-41a2-b82e-0fa6dcdba165"
      },
      "source": [
        "# Leaflet Integration <a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
        "\n",
        "Before using the graph widget, install all necessary packages and initialize your widget."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "7e2c1065-4f28-4ae1-b743-9166aa647e4e",
      "metadata": {
        "id": "7e2c1065-4f28-4ae1-b743-9166aa647e4e",
        "outputId": "29bd4bdb-9e7a-474c-fda0-40215e86c3bc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.6/15.6 MB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m139.8/139.8 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "%pip install yfiles_jupyter_graphs --quiet\n",
        "from yfiles_jupyter_graphs import GraphWidget\n",
        "w = GraphWidget()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "8730a384-1ece-4615-a86e-68f289cef3a6",
      "metadata": {
        "id": "8730a384-1ece-4615-a86e-68f289cef3a6"
      },
      "source": [
        "You can also open this notebook in Google Colab when Google Colab's custom widget manager is enabled:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "aa6b295b-3b11-4fce-ba09-81f8c70b2bb5",
      "metadata": {
        "id": "aa6b295b-3b11-4fce-ba09-81f8c70b2bb5"
      },
      "outputs": [],
      "source": [
        "try:\n",
        "  import google.colab\n",
        "  from google.colab import output\n",
        "  output.enable_custom_widget_manager()\n",
        "except:\n",
        "  pass"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "26eead6d-66c5-4f14-9a5c-cc8a633dcb95",
      "metadata": {
        "id": "26eead6d-66c5-4f14-9a5c-cc8a633dcb95"
      },
      "source": [
        "<a target=\"_blank\" href=\"https://colab.research.google.com/github/yWorks/yfiles-jupyter-graphs/blob/main/examples/30_leaflet_mapping.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "516f8b11-6f66-46b7-bfea-4d4f9f4e548f",
      "metadata": {
        "id": "516f8b11-6f66-46b7-bfea-4d4f9f4e548f"
      },
      "source": [
        "## Mapping Function\n",
        "\n",
        "The node coordinate mapping is a function that is supposed to return a 2-tuple of numbers `(lat, lng)` for each given node object which is then used in the widget.\n",
        "\n",
        "Optionally, the index can be used as the first function parameter."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "899cb5a5-c81a-4598-b534-2375c1857774",
      "metadata": {
        "id": "899cb5a5-c81a-4598-b534-2375c1857774",
        "outputId": "b28ae8e4-ee13-4c96-e760-c871ab4e2777",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The default coordinate mapping for nodes.\n",
            "\n",
            "        Provides constant value of None for all nodes.\n",
            "\n",
            "        Parameters\n",
            "        ----------\n",
            "        index: int (optional)\n",
            "        node: typing.Dict\n",
            "\n",
            "        Notes\n",
            "        -----\n",
            "        This is the default value for the `node_coordinate_mapping` property.\n",
            "        Can be 'overwritten' by setting the property\n",
            "        with a function of the same signature.\n",
            "\n",
            "        If the given mapping function has only one parameter (that is not typed as int),\n",
            "        then it will be called with the element (typing.Dict) as first parameter.\n",
            "\n",
            "        Example\n",
            "        -------\n",
            "        .. code::\n",
            "\n",
            "           from yfiles_jupyter_graphs import GraphWidget\n",
            "           w = GraphWidget()\n",
            "           def custom_node_coordinate_mapping(node: typing.Dict):\n",
            "           ...\n",
            "           w.set_node_coordinate_mapping(custom_node_coordinate_mapping)\n",
            "\n",
            "        Returns\n",
            "        -------\n",
            "        coordinate: float 2-tuple\n",
            "\n",
            "        \n"
          ]
        }
      ],
      "source": [
        "print(w.default_node_coordinate_mapping.__doc__)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "642533bd-2922-4641-b71b-314de376ac87",
      "metadata": {
        "id": "642533bd-2922-4641-b71b-314de376ac87"
      },
      "outputs": [],
      "source": [
        "flightData = {\n",
        "  'airports': [\n",
        "    { 'name': 'Los Angeles', 'iata': 'LAX','lat': 33.942536,'lng': -118.408075, 'passengers': 65000000 },    { 'name': 'Rio de Janeiro', 'iata': 'GIG','lat': -22.808903,'lng': -43.243647, 'passengers': 5000000 },    {'name': 'Lima', 'iata': 'LIM','lat': -12.021889,'lng': -77.114319, 'passengers': 18000000 },    { 'name': 'London', 'iata': 'LHR','lat': 51.4775,'lng': -0.461389, 'passengers': 61000000 },\n",
        "    {'name': 'Frankfurt', 'iata': 'FRA','lat': 50.033333,'lng': 8.570556, 'passengers': 48000000 },    {'name': 'Moscow', 'iata': 'SVO','lat': 55.972642,'lng': 37.414589, 'passengers': 49000000 },    {'name': 'New Delhi', 'iata': 'DEL','lat': 28.5665,'lng': 77.103089, 'passengers': 39000000 },    {'name': 'Shanghai', 'iata': 'PVG','lat': 31.143378,'lng': 121.805214, 'passengers': 32000000 },\n",
        "    {'name': 'Hongkong', 'iata': 'HKG','lat': 22.308919,'lng': 113.914603, 'passengers': 1000000 },    {'name': 'Tokio', 'iata': 'NRT','lat': 35.764722,'lng': 140.386389, 'passengers': 15000000 },    {'name': 'Dubai', 'iata': 'DXB','lat': 25.252778,'lng': 55.364444, 'passengers': 29000000 },    {'name': 'Dakar', 'iata': 'DKR','lat': 14.670833,'lng': -17.072778, 'passengers': 2000000 },\n",
        "    {'name': 'Johannesburg', 'iata': 'JNB','lat': -26.133694,'lng': 28.242317, 'passengers': 9000000 },    {'name': 'Sydney', 'iata': 'SYD','lat': -33.946111,'lng': 151.177222, 'passengers': 44000000 },    {'name': 'Nairobi', 'iata': 'NBO','lat': -1.319167,'lng': 36.927778, 'passengers': 900000 },    {'name': 'Atlanta', 'iata': 'ATL','lat': 33.639167,'lng': -84.427778, 'passengers': 93000000 },\n",
        "    {'name': 'New York City', 'iata': 'JFK','lat': 40.63975,'lng': -73.778925, 'passengers': 55000000 },    {'name': 'Cairo', 'iata': 'CAI','lat': 30.121944,'lng': 31.405556, 'passengers': 14000000 },    {'name': 'Casablanca', 'iata': 'CMN','lat': 33.367467,'lng': -7.589967, 'passengers': 7000000 },    {'name': 'Lagos', 'iata': 'LOS','lat': 6.577222,'lng': 3.321111, 'passengers': 5000000 },\n",
        "    {'name': 'Cape Town', 'iata': 'CPT','lat': -33.969444,'lng': 18.597222, 'passengers': 5000000 },    {'name': 'Chengdu', 'iata': 'CTU','lat': 30.578333,'lng': 103.946944, 'passengers': 40000000 },    {'name': 'Jakarta', 'iata': 'CGK','lat': -6.125567,'lng': 106.655897, 'passengers': 54000000 },    {'name': 'Teheran', 'iata': 'IKA','lat': 35.416111,'lng': 51.152222, 'passengers': 8000000 },\n",
        "    {'name': 'Tel Aviv', 'iata': 'TLV','lat': 32.011389,'lng': 34.886667, 'passengers': 20000000 },    {'name': 'Kuala Lumpur', 'iata': 'KUL','lat': 2.745578,'lng': 101.709917, 'passengers': 25000000 },    {'name': 'Manila', 'iata': 'MNL','lat': 14.508647,'lng': 121.019581, 'passengers': 8000000 },    {'name': 'Singapur', 'iata': 'SIN','lat': 1.350189,'lng': 103.994433, 'passengers': 32000000 },\n",
        "    {'name': 'Taipeh', 'iata': 'TPE','lat': 25.077732,'lng': 121.232822, 'passengers': 800000 },    {'name': 'Bangkok', 'iata': 'BKK','lat': 13.681108,'lng': 100.747283, 'passengers': 65000000 },    {'name': 'Istanbul', 'iata': 'IST','lat': 40.976922,'lng': 28.814606, 'passengers': 64000000 },    {'name': 'Ulaanbaatar', 'iata': 'ULN','lat': 47.843056,'lng': 106.766639, 'passengers': 1000000 },\n",
        "    {'name': 'Melbourne', 'iata': 'MEL','lat': -37.673333,'lng': 144.843333, 'passengers': 12000000 },    {'name': 'Brisbane', 'iata': 'BNE','lat': -27.383333,'lng': 153.118056, 'passengers': 23000000 },    {'name': 'Nadi', 'iata': 'NAN','lat': -17.755392,'lng': 177.443378, 'passengers': 2000000 },    {'name': 'Auckland', 'iata': 'AKL','lat': -37.008056,'lng': 174.791667, 'passengers': 21000000 },\n",
        "    {'name': 'Paris', 'iata': 'CDG','lat': 49.009722,'lng': 2.547778, 'passengers': 57000000 },    {'name': 'Madrid', 'iata': 'MAD','lat': 40.4675,'lng': -3.551944, 'passengers': 50000000 },    {'name': 'Barcelona', 'iata': 'BCN','lat': 41.297078,'lng': 2.078464, 'passengers': 41000000 },    {'name': 'Rome', 'iata': 'FCO','lat': 41.804444,'lng': 12.250833, 'passengers': 29000000 },\n",
        "    {'name': 'Copenhagen', 'iata': 'CPH','lat': 55.617917,'lng': 12.655972, 'passengers': 30000000 },    {'name': 'Helsinki', 'iata': 'HEL','lat': 60.317222,'lng': 24.963333, 'passengers': 5000000 },    {'name': 'Athens', 'iata': 'ATH','lat': 37.936358,'lng': 23.944467, 'passengers': 22000000 },    {'name': 'Dublin', 'iata': 'DUB','lat': 53.421333,'lng': -6.270075, 'passengers': 32000000 },\n",
        "    {'name': 'Reykjavik', 'iata': 'RKV','lat': 64.13,'lng': -21.940556, 'passengers': 400000 },    {'name': 'Oslo', 'iata': 'OSL','lat': 60.193917,'lng': 11.100361, 'passengers': 9000000 },    {'name': 'Vienna', 'iata': 'VIE','lat': 48.110833,'lng': 16.570833, 'passengers': 10000000 },    {'name': 'Lisbon', 'iata': 'LIS','lat': 38.774167,'lng': -9.134167, 'passengers': 28000000 },\n",
        "    {'name': 'Stockholm', 'iata': 'ARN','lat': 59.651944,'lng': 17.918611, 'passengers': 7000000 },    {'name': 'Edinburgh', 'iata': 'EDI','lat': 55.95,'lng': -3.3725, 'passengers': 14000000 },    {'name': 'Chicago', 'iata': 'ORD','lat': 41.978603,'lng': -87.904842, 'passengers': 54000000 },    {'name': 'Dallas', 'iata': 'DFW','lat': 32.896828,'lng': -97.037997, 'passengers': 73000000 },\n",
        "    {'name': 'San Francisco', 'iata': 'SFO','lat': 37.618972,'lng': -122.374889, 'passengers': 42000000 },    {'name': 'Las Vegas', 'iata': 'LAS','lat': 36.080056,'lng': -115.15225, 'passengers': 52000000 },    {'name': 'Miami', 'iata': 'MIA','lat': 25.79325,'lng': -80.290556, 'passengers': 50000000 },    {'name': 'Toronto', 'iata': 'YYZ','lat': 43.677222,'lng': -79.630556, 'passengers': 12000000 },\n",
        "    {'name': 'Vancouver', 'iata': 'YVR','lat': 49.193889,'lng': -123.184444, 'passengers': 19000000 },    {'name': 'Montreal', 'iata': 'YUL','lat': 45.47175,'lng': -73.736569, 'passengers': 15000000 },    {'name': 'Mexico-City', 'iata': 'MEX','lat': 19.436303,'lng': -99.072097, 'passengers': 46000000 },    {'name': 'Guatemala-City', 'iata': 'GUA','lat': 14.583272,'lng': -90.527475, 'passengers': 2000000 },\n",
        "    {'name': 'Buenos Aires', 'iata': 'EZE','lat': -34.822222,'lng': -58.535833, 'passengers': 5000000 },    {'name': 'Sao Paulo', 'iata': 'GRU','lat': -23.432075,'lng': -46.469511, 'passengers': 34000000 },    {'name': 'Santiago de Chile', 'iata': 'SCL','lat': -33.392975,'lng': -70.785803, 'passengers': 20000000 },    {'name': 'Brasilia', 'iata': 'BSB','lat': -15.871111,'lng': -47.918611, 'passengers': 13000000 },\n",
        "    {'name': 'Bogota', 'iata': 'BOG','lat': 4.701594,'lng': -74.146947, 'passengers': 36000000 },    {'name': 'Caracas', 'iata': 'CCS','lat': 10.601194,'lng': -66.991222, 'passengers': 8000000 }  ],\n",
        "  'connections': [\n",
        "    {'from': 'LAX','to': 'JFK' },   {'from': 'JFK','to': 'GIG' },    {'from': 'JFK','to': 'LIM' },    {'from': 'JFK','to': 'LHR' },    {'from': 'GIG','to': 'FRA' },    {'from': 'LIM','to': 'GIG' },    {'from': 'FRA','to': 'JFK' },    {'from': 'LHR','to': 'FRA' },    {'from': 'FRA','to': 'SVO' },    {'from': 'FRA','to': 'DXB' },    {'from': 'SVO','to': 'DEL' },\n",
        "    {'from': 'SVO','to': 'PVG' },    {'from': 'DEL','to': 'HKG' },    {'from': 'PVG','to': 'HKG' },    {'from': 'PVG','to': 'NRT' },    {'from': 'HKG','to': 'SYD' },    {'from': 'NRT','to': 'SYD' },    {'from': 'DXB','to': 'SVO' },    {'from': 'DXB','to': 'DEL' },    {'from': 'DXB','to': 'DKR' },    {'from': 'DXB','to': 'JNB' },    {'from': 'JNB','to': 'LHR' },\n",
        "    {'from': 'JNB','to': 'DKR' },    {'from': 'SYD','to': 'DXB' },    {'from': 'NBO','to': 'JNB' },    {'from': 'NBO','to': 'DXB' },    {'from': 'ATL','to': 'JFK' },    {'from': 'LAX','to': 'ATL' },    {'from': 'ATL','to': 'LHR' },    {'from': 'ATL','to': 'LIM' },    {'from': 'SCL','to': 'LIM' },    {'from': 'EZE','to': 'SCL' },    {'from': 'SCL','to': 'GRU' },\n",
        "    {'from': 'GIG','to': 'EZE' },    {'from': 'GIG','to': 'GRU' },    {'from': 'BSB','to': 'GIG' },    {'from': 'SCL','to': 'BSB' },    {'from': 'LIM','to': 'BSB' },    {'from': 'BOG','to': 'BSB' },    {'from': 'CCS','to': 'BSB' },    {'from': 'BOG','to': 'GUA' },    {'from': 'CCS','to': 'MIA' },    {'from': 'GUA','to': 'MIA' },    {'from': 'GUA','to': 'MEX' },\n",
        "    {'from': 'MEX','to': 'LAX' },    {'from': 'MEX','to': 'LAX' },    {'from': 'LAX','to': 'SFO' },    {'from': 'SFO','to': 'YVR' },    {'from': 'LAX','to': 'LAS' },    {'from': 'LAX','to': 'DFW' },    {'from': 'LAX','to': 'ORD' },    {'from': 'SFO','to': 'LAS' },    {'from': 'DFW','to': 'ATL' },    {'from': 'ATL','to': 'YYZ' },    {'from': 'ORD','to': 'YYZ' },\n",
        "    {'from': 'YYZ','to': 'YUL' },    {'from': 'YYZ','to': 'JFK' },    {'from': 'YUL','to': 'JFK' },    {'from': 'JNB','to': 'CPT' },    {'from': 'LOS','to': 'DKR' },    {'from': 'NBO','to': 'LOS' },    {'from': 'DKR','to': 'CMN' },    {'from': 'DKR','to': 'CAI' },    {'from': 'NBO','to': 'CAI' },    {'from': 'DXB','to': 'CAI' },    {'from': 'IKA','to': 'DXB' },\n",
        "    {'from': 'IST','to': 'IKA' },    {'from': 'TLV','to': 'ATH' },    {'from': 'CAI','to': 'TLV' },    {'from': 'ATH','to': 'IST' },    {'from': 'FCO','to': 'ATH' },    {'from': 'LIS','to': 'LHR' },    {'from': 'LIS','to': 'MAD' },    {'from': 'MAD','to': 'BCN' },    {'from': 'CDG','to': 'LHR' },    {'from': 'DUB','to': 'LHR' },    {'from': 'EDI','to': 'LHR' },\n",
        "    {'from': 'CDG','to': 'BCN' },    {'from': 'BCN','to': 'FCO' },    {'from': 'VIE','to': 'IST' },    {'from': 'VIE','to': 'SVO' },    {'from': 'CMN','to': 'LIS' },    {'from': 'MAD','to': 'CMN' },    {'from': 'FRA','to': 'CPH' },    {'from': 'LHR','to': 'CPH' },    {'from': 'CPH','to': 'OSL' },    {'from': 'CPH','to': 'ARN' },    {'from': 'ARN','to': 'HEL' },\n",
        "    {'from': 'HEL','to': 'SVO' },    {'from': 'ULN','to': 'PVG' },    {'from': 'CTU','to': 'PVG' },    {'from': 'PVG','to': 'TPE' },    {'from': 'CTU','to': 'HKG' },    {'from': 'TPE','to': 'HKG' },    {'from': 'HKG','to': 'MNL' },    {'from': 'BKK','to': 'HKG' },    {'from': 'SIN','to': 'KUL' },    {'from': 'SIN','to': 'BKK' },    {'from': 'CGK','to': 'SIN' },\n",
        "    {'from': 'MNL','to': 'SIN' },    {'from': 'SIN','to': 'SYD' },    {'from': 'BNE','to': 'SYD' },    {'from': 'SYD','to': 'MEL' },    {'from': 'NAN','to': 'SYD' },    {'from': 'AKL','to': 'SYD' },    {'from': 'NAN','to': 'AKL' },    {'from': 'RKV','to': 'LHR' },    {'from': 'BCN','to': 'CDG' },    {'from': 'BCN','to': 'FRA' },    {'from': 'FCO','to': 'FRA' },\n",
        "    {'from': 'BOG','to': 'MEX' },    {'from': 'BOG','to': 'GRU' },    {'from': 'ATL','to': 'MIA' },    {'from': 'FRA','to': 'IST' },    {'from': 'IST','to': 'DEL' },    {'from': 'PVG','to': 'BKK' },    {'from': 'DEL','to': 'BKK' },\n",
        "  ],\n",
        "}\n",
        "\n",
        "w.edges = edges = [\n",
        "    {\"start\": connection['from'], \"end\": connection['to'], \"label\": \"\", \"properties\": {}, \"directed\": False}\n",
        "    for connection in flightData['connections']\n",
        "]\n",
        "\n",
        "w.nodes = nodes = [\n",
        "    {\"id\": airport['iata'], \"properties\": {\"label\": airport['name'], 'passengers': airport['passengers']}, \"coordinates\": [airport['lat'], airport['lng']]}\n",
        "    for airport in flightData['airports']\n",
        "]\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4e296c92-22b3-4765-9c5e-0d2bf9e98742",
      "metadata": {
        "id": "4e296c92-22b3-4765-9c5e-0d2bf9e98742"
      },
      "source": [
        "We'll use the given latitude and longitute for our coordinate mapping."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "7448ef35-a12d-4d4d-a6a8-e2f96b97dd99",
      "metadata": {
        "id": "7448ef35-a12d-4d4d-a6a8-e2f96b97dd99",
        "outputId": "591f9e2c-3d51-45b1-daa8-4f4977d25956",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'coordinates'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "w.node_coordinate_mapping = 'coordinates'\n",
        "w.get_node_coordinate_mapping()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "515b21f4-5a9d-42c2-a463-1594f6a727d4",
      "metadata": {
        "id": "515b21f4-5a9d-42c2-a463-1594f6a727d4"
      },
      "source": [
        "To show the map-view, either pick the `Show on Map` layout in the toolbar, or pre-configure the layout with `w.map_layout()`:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
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        "If the coordinate mapping is deleted, the heatmap mapping reverts back to the default mapping."
      ]
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              "<function yfiles_jupyter_graphs.widget.GraphWidget.default_node_coordinate_mapping(index: int, node: Dict)>"
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              "         var(--colab-secondary-surface-color); padding: 8px 12px;\n",
              "         border-bottom: 1px solid var(--colab-border-color);\"><b>yfiles_jupyter_graphs.widget.GraphWidget.default_node_coordinate_mapping</b><br/>def default_node_coordinate_mapping(index: int, node: TDict)</pre><pre class=\"function-repr-contents function-repr-contents-collapsed\" style=\"\"><a class=\"filepath\" style=\"display:none\" href=\"#\">/usr/local/lib/python3.10/dist-packages/yfiles_jupyter_graphs/widget.py</a>The default coordinate mapping for nodes.\n",
              "\n",
              "Provides constant value of None for all nodes.\n",
              "\n",
              "Parameters\n",
              "----------\n",
              "index: int (optional)\n",
              "node: typing.Dict\n",
              "\n",
              "Notes\n",
              "-----\n",
              "This is the default value for the `node_coordinate_mapping` property.\n",
              "Can be &#x27;overwritten&#x27; by setting the property\n",
              "with a function of the same signature.\n",
              "\n",
              "If the given mapping function has only one parameter (that is not typed as int),\n",
              "then it will be called with the element (typing.Dict) as first parameter.\n",
              "\n",
              "Example\n",
              "-------\n",
              ".. code::\n",
              "\n",
              "   from yfiles_jupyter_graphs import GraphWidget\n",
              "   w = GraphWidget()\n",
              "   def custom_node_coordinate_mapping(node: typing.Dict):\n",
              "   ...\n",
              "   w.set_node_coordinate_mapping(custom_node_coordinate_mapping)\n",
              "\n",
              "Returns\n",
              "-------\n",
              "coordinate: float 2-tuple</pre>\n",
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        "w.del_node_coordinate_mapping()\n",
        "w.get_node_coordinate_mapping()"
      ]
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        "Add an additional heat mapping:"
      ]
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    {
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      "execution_count": 9,
      "id": "fc71eb02-da8f-4d9f-8b68-52e82f1d76c8",
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        "w2 = GraphWidget()\n",
        "w2.nodes = w.nodes\n",
        "w2.edges = w.edges\n",
        "\n",
        "w2.node_coordinate_mapping = 'coordinates'\n",
        "\n",
        "def heat(element):\n",
        "    if 'start' in element:\n",
        "        #edge case\n",
        "        return 0\n",
        "    else: return (element['properties']['passengers'] - 800000)/92200000\n",
        "\n",
        "w2.set_heat_mapping(heat)\n",
        "w2.map_layout()\n",
        "display(w2)"
      ]
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