osmnx_routing.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mehdihosseinimoghadam/Catalan-Text-to-Speech/blob/master/osmnx_routing.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aekMTpwMkGeG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "8cec8b86-eeb9-4806-af57-13e872494471"
      },
      "source": [
        "# Install GDAL and Geopandas\n",
        "!apt install gdal-bin python-gdal python3-gdal --quiet\n",
        "!apt install python3-rtree --quiet\n",
        "!pip install git+git://github.com/geopandas/geopandas.git --quiet\n",
        "!pip install descartes --quiet\n",
        "!pip install osmnx\n",
        "!pip install plotly_express\n",
        "!pip install pykrige geopandas"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists...\n",
            "Building dependency tree...\n",
            "Reading state information...\n",
            "gdal-bin is already the newest version (2.2.3+dfsg-2).\n",
            "python-gdal is already the newest version (2.2.3+dfsg-2).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  python3-numpy\n",
            "Suggested packages:\n",
            "  python-numpy-doc python3-nose python3-numpy-dbg\n",
            "The following NEW packages will be installed:\n",
            "  python3-gdal python3-numpy\n",
            "0 upgraded, 2 newly installed, 0 to remove and 20 not upgraded.\n",
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            "/usr/lib/python3.8/subprocess.py:842: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used\n",
            "  self.stdin = io.open(p2cwrite, 'wb', bufsize)\n",
            "Setting up python3-gdal (2.2.3+dfsg-2) ...\n",
            "/usr/lib/python3.8/subprocess.py:842: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used\n",
            "  self.stdin = io.open(p2cwrite, 'wb', bufsize)\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Reading package lists...\n",
            "Building dependency tree...\n",
            "Reading state information...\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  libspatialindex-c4v5 libspatialindex-dev libspatialindex4v5\n",
            "  python3-pkg-resources\n",
            "Suggested packages:\n",
            "  python3-setuptools\n",
            "The following NEW packages will be installed:\n",
            "  libspatialindex-c4v5 libspatialindex-dev libspatialindex4v5\n",
            "  python3-pkg-resources python3-rtree\n",
            "0 upgraded, 5 newly installed, 0 to remove and 20 not upgraded.\n",
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            "After this operation, 3,948 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libspatialindex4v5 amd64 1.8.5-5 [219 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libspatialindex-c4v5 amd64 1.8.5-5 [51.7 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 python3-pkg-resources all 39.0.1-2 [98.8 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libspatialindex-dev amd64 1.8.5-5 [285 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 python3-rtree all 0.8.3+ds-1 [16.9 kB]\n",
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            "Preparing to unpack .../python3-rtree_0.8.3+ds-1_all.deb ...\n",
            "Unpacking python3-rtree (0.8.3+ds-1) ...\n",
            "Setting up libspatialindex4v5:amd64 (1.8.5-5) ...\n",
            "Setting up python3-pkg-resources (39.0.1-2) ...\n",
            "/usr/lib/python3.8/subprocess.py:842: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used\n",
            "  self.stdin = io.open(p2cwrite, 'wb', bufsize)\n",
            "Setting up libspatialindex-c4v5:amd64 (1.8.5-5) ...\n",
            "Setting up libspatialindex-dev:amd64 (1.8.5-5) ...\n",
            "Setting up python3-rtree (0.8.3+ds-1) ...\n",
            "/usr/lib/python3.8/subprocess.py:842: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used\n",
            "  self.stdin = io.open(p2cwrite, 'wb', bufsize)\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1.6) ...\n",
            "\u001b[33mWARNING: Discarding git+git://github.com/geopandas/geopandas.git. Command errored out with exit status 128: git clone -q git://github.com/geopandas/geopandas.git /tmp/pip-req-build-mdrzu1xj Check the logs for full command output.\u001b[0m\n",
            "\u001b[31mERROR: Command errored out with exit status 128: git clone -q git://github.com/geopandas/geopandas.git /tmp/pip-req-build-mdrzu1xj Check the logs for full command output.\u001b[0m\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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            "\u001b[?25hRequirement already satisfied: Shapely<2.0,>=1.8 in /usr/local/lib/python3.8/dist-packages (from osmnx) (1.8.5.post1)\n",
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            "  Downloading Fiona-1.8.22-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.6 MB)\n",
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            "Installing collected packages: numpy, munch, cligj, click-plugins, pyproj, pandas, fonttools, fiona, contourpy, Rtree, requests, matplotlib, geopandas, osmnx\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.21.6\n",
            "    Uninstalling numpy-1.21.6:\n",
            "      Successfully uninstalled numpy-1.21.6\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 1.3.5\n",
            "    Uninstalling pandas-1.3.5:\n",
            "      Successfully uninstalled pandas-1.3.5\n",
            "  Attempting uninstall: Rtree\n",
            "    Found existing installation: Rtree 0.8.3\n",
            "    Uninstalling Rtree-0.8.3:\n",
            "      Successfully uninstalled Rtree-0.8.3\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.23.0\n",
            "    Uninstalling requests-2.23.0:\n",
            "      Successfully uninstalled requests-2.23.0\n",
            "  Attempting uninstall: matplotlib\n",
            "    Found existing installation: matplotlib 3.2.2\n",
            "    Uninstalling matplotlib-3.2.2:\n",
            "      Successfully uninstalled matplotlib-3.2.2\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "scipy 1.7.3 requires numpy<1.23.0,>=1.16.5, but you have numpy 1.23.5 which is incompatible.\u001b[0m\n",
            "Successfully installed Rtree-1.0.1 click-plugins-1.1.1 cligj-0.7.2 contourpy-1.0.6 fiona-1.8.22 fonttools-4.38.0 geopandas-0.12.2 matplotlib-3.6.2 munch-2.5.0 numpy-1.23.5 osmnx-1.2.2 pandas-1.5.2 pyproj-3.4.0 requests-2.28.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
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              "pip_warning": {
                "packages": [
                  "matplotlib",
                  "mpl_toolkits",
                  "numpy"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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            "  Downloading numpy-1.22.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 16.9 MB 418 kB/s \n",
            "\u001b[?25hInstalling collected packages: numpy, plotly-express\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.23.5\n",
            "    Uninstalling numpy-1.23.5:\n",
            "      Successfully uninstalled numpy-1.23.5\n",
            "Successfully installed numpy-1.22.4 plotly-express-0.4.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "numpy"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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            "Installing collected packages: pykrige\n",
            "Successfully installed pykrige-1.7.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install osmnx==0.16.2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 839
        },
        "id": "nxwGnHXFLK6H",
        "outputId": "014d58d5-af28-494c-961b-8cefa8cb4b7d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting osmnx==0.16.2\n",
            "  Downloading osmnx-0.16.2-py2.py3-none-any.whl (87 kB)\n",
            "\u001b[K     |████████████████████████████████| 87 kB 5.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: Rtree>=0.9 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (1.0.1)\n",
            "Requirement already satisfied: requests>=2.24 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (2.28.1)\n",
            "Requirement already satisfied: numpy>=1.19 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (1.22.4)\n",
            "Requirement already satisfied: matplotlib>=3.3 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (3.6.2)\n",
            "Requirement already satisfied: geopandas>=0.8 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (0.12.2)\n",
            "Requirement already satisfied: Shapely>=1.7 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (1.8.5.post1)\n",
            "Requirement already satisfied: pyproj>=2.6 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (3.4.0)\n",
            "Requirement already satisfied: networkx>=2.5 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (2.8.8)\n",
            "Requirement already satisfied: descartes>=1.1 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (1.1.0)\n",
            "Requirement already satisfied: pandas>=1.1 in /usr/local/lib/python3.8/dist-packages (from osmnx==0.16.2) (1.5.2)\n",
            "Requirement already satisfied: fiona>=1.8 in /usr/local/lib/python3.8/dist-packages (from geopandas>=0.8->osmnx==0.16.2) (1.8.22)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from geopandas>=0.8->osmnx==0.16.2) (21.3)\n",
            "Requirement already satisfied: munch in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (2.5.0)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (57.4.0)\n",
            "Requirement already satisfied: click-plugins>=1.0 in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (1.1.1)\n",
            "Requirement already satisfied: click>=4.0 in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (7.1.2)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (2022.9.24)\n",
            "Requirement already satisfied: attrs>=17 in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (22.1.0)\n",
            "Requirement already satisfied: six>=1.7 in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (1.15.0)\n",
            "Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.8/dist-packages (from fiona>=1.8->geopandas>=0.8->osmnx==0.16.2) (0.7.2)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (4.38.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (1.4.4)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (1.0.6)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (2.8.2)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (7.1.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (0.11.0)\n",
            "Requirement already satisfied: pyparsing>=2.2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.3->osmnx==0.16.2) (3.0.9)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.8/dist-packages (from pandas>=1.1->osmnx==0.16.2) (2022.6)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests>=2.24->osmnx==0.16.2) (2.10)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests>=2.24->osmnx==0.16.2) (1.24.3)\n",
            "Requirement already satisfied: charset-normalizer<3,>=2 in /usr/local/lib/python3.8/dist-packages (from requests>=2.24->osmnx==0.16.2) (2.1.1)\n",
            "Installing collected packages: osmnx\n",
            "  Attempting uninstall: osmnx\n",
            "    Found existing installation: osmnx 1.2.2\n",
            "    Uninstalling osmnx-1.2.2:\n",
            "      Successfully uninstalled osmnx-1.2.2\n",
            "Successfully installed osmnx-0.16.2\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "osmnx"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PSxGEI-xkL-R"
      },
      "source": [
        "import pandas as pd\n",
        "import geopandas as gpd\n",
        "from shapely.geometry import Point, LineString\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly_express as px\n",
        "\n",
        "import networkx as nx\n",
        "import osmnx as ox\n",
        "\n",
        "\n",
        "from pykrige.ok import OrdinaryKriging\n",
        "from scipy.interpolate import NearestNDInterpolator\n",
        "import pandas as pd\n",
        "import geopandas as gpd\n",
        "import plotly.express as px\n",
        "\n",
        "ox.config(use_cache=True, log_console=True)\n",
        "\n",
        "\n",
        "\n",
        "# from skgstat import Variogram\n",
        "# import osmnx as ox\n",
        "\n",
        "from pykrige.ok import OrdinaryKriging\n",
        "from scipy.interpolate import PchipInterpolator\n",
        "from scipy.interpolate import RBFInterpolator  \n",
        "import pandas as pd\n",
        "import geopandas as gpd\n",
        "import plotly.express as px"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0ocJhJZOprAm"
      },
      "source": [
        "def create_graph(loc, dist, transport_mode, loc_type=\"address\"):\n",
        "    \"\"\"Transport mode = ‘walk’, ‘bike’, ‘drive’, ‘drive_service’, ‘all’, ‘all_private’, ‘none’\"\"\"\n",
        "    if loc_type == \"address\":\n",
        "        G = ox.graph_from_address(loc, dist=dist, network_type=transport_mode)\n",
        "    elif loc_type == \"points\":\n",
        "        G = ox.graph_from_point(loc, dist=dist, network_type=transport_mode )\n",
        "    return G"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cvJwRLCdprIH",
        "outputId": "0add8585-3bc7-4492-9988-ad2d4b63c53c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        }
      },
      "source": [
        "G = create_graph(\"Banbury, UK\", 2500, \"drive\")\n",
        "ox.plot_graph(G)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/osmnx/utils_geo.py:281: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
            "  for polygon in geometry:\n",
            "/usr/local/lib/python3.8/dist-packages/osmnx/utils_geo.py:375: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
            "  for poly in multipoly:\n",
            "/usr/local/lib/python3.8/dist-packages/osmnx/utils_geo.py:375: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
            "  for poly in multipoly:\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(<Figure size 576x576 with 1 Axes>, <AxesSubplot: >)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TLx9LHN7rcCk"
      },
      "source": [
        "# impute missing edge speeds and add travel times\n",
        "G = ox.add_edge_speeds(G)\n",
        "G = ox.add_edge_travel_times(G)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4PETVf6DVpos"
      },
      "source": [
        "start = (52.071321, -1.363559)\n",
        "end = (52.064668, -1.305744)\n",
        "start_node = ox.get_nearest_node(G, start) \n",
        "end_node = ox.get_nearest_node(G, end)\n",
        "route = nx.shortest_path(G, start_node, end_node, weight='travel_time')\n",
        "    \n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uAlV-GsVWRxr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "outputId": "781c0129-7345-4902-d9ef-fdbdf0ab1081"
      },
      "source": [
        "ox.plot_graph_route(G, route, route_linewidth=6, node_size=0, bgcolor='k' );"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g58rRe1FnI5T",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "11928f26-ad2d-4439-d942-0186af86c52a"
      },
      "source": [
        "nx.shortest_path_length"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function networkx.algorithms.shortest_paths.generic.shortest_path_length(G, source=None, target=None, weight=None, method='dijkstra')>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i1QmXhZ8V0Bl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c38cc466-254c-4311-c03b-608bce2979d4"
      },
      "source": [
        "travel_time = nx.shortest_path_length(G, start_node, end_node, weight='travel_time')\n",
        "print(round(travel_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "314\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XHa6YC-ItCC3"
      },
      "source": [
        "node_start = []\n",
        "node_end = []\n",
        "X_to = []\n",
        "Y_to = []\n",
        "X_from = []\n",
        "Y_from = []\n",
        "length = []\n",
        "travel_time = []\n",
        "\n",
        "for u, v in zip(route[:-1], route[1:]):\n",
        "    node_start.append(u)\n",
        "    node_end.append(v)\n",
        "    length.append(round(G.edges[(u, v, 0)]['length']))\n",
        "    travel_time.append(round(G.edges[(u, v, 0)]['travel_time']))\n",
        "    X_from.append(G.nodes[u]['x'])\n",
        "    Y_from.append(G.nodes[u]['y'])\n",
        "    X_to.append(G.nodes[v]['x'])\n",
        "    Y_to.append(G.nodes[v]['y'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_qu9Rn1htCI0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "51d9feae-6320-43d9-bbe6-d13049d2ea9b"
      },
      "source": [
        "df = pd.DataFrame(list(zip(node_start, node_end, X_from, Y_from,  X_to, Y_to, length, travel_time)), \n",
        "               columns =[\"node_start\", \"node_end\", \"X_from\", \"Y_from\",  \"X_to\", \"Y_to\", \"length\", \"travel_time\"]) \n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   node_start    node_end    X_from     Y_from      X_to       Y_to  length  \\\n",
              "0  1628201641    15830375 -1.363418  52.071204 -1.361617  52.069977     184   \n",
              "1    15830375    28264485 -1.361617  52.069977 -1.360150  52.068293     215   \n",
              "2    28264485  7404176252 -1.360150  52.068293 -1.357043  52.067339     238   \n",
              "3  7404176252    28264484 -1.357043  52.067339 -1.356344  52.067163      52   \n",
              "4    28264484  8701222220 -1.356344  52.067163 -1.351910  52.066679     314   \n",
              "\n",
              "   travel_time  \n",
              "0           14  \n",
              "1           16  \n",
              "2           18  \n",
              "3            4  \n",
              "4           23  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-62d9348a-7e8c-4606-8eb7-5e6c94764c43\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>node_start</th>\n",
              "      <th>node_end</th>\n",
              "      <th>X_from</th>\n",
              "      <th>Y_from</th>\n",
              "      <th>X_to</th>\n",
              "      <th>Y_to</th>\n",
              "      <th>length</th>\n",
              "      <th>travel_time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
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              "      <td>1628201641</td>\n",
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              "      <td>-1.363418</td>\n",
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              "      <td>-1.361617</td>\n",
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              "      <td>14</td>\n",
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              "      <th>1</th>\n",
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              "      <td>-1.360150</td>\n",
              "      <td>52.068293</td>\n",
              "      <td>215</td>\n",
              "      <td>16</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28264485</td>\n",
              "      <td>7404176252</td>\n",
              "      <td>-1.360150</td>\n",
              "      <td>52.068293</td>\n",
              "      <td>-1.357043</td>\n",
              "      <td>52.067339</td>\n",
              "      <td>238</td>\n",
              "      <td>18</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7404176252</td>\n",
              "      <td>28264484</td>\n",
              "      <td>-1.357043</td>\n",
              "      <td>52.067339</td>\n",
              "      <td>-1.356344</td>\n",
              "      <td>52.067163</td>\n",
              "      <td>52</td>\n",
              "      <td>4</td>\n",
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              "      <td>28264484</td>\n",
              "      <td>8701222220</td>\n",
              "      <td>-1.356344</td>\n",
              "      <td>52.067163</td>\n",
              "      <td>-1.351910</td>\n",
              "      <td>52.066679</td>\n",
              "      <td>314</td>\n",
              "      <td>23</td>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-62d9348a-7e8c-4606-8eb7-5e6c94764c43')\"\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "\n",
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              "          document.querySelector('#df-62d9348a-7e8c-4606-8eb7-5e6c94764c43 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-62d9348a-7e8c-4606-8eb7-5e6c94764c43');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Oqk3o_Ntcuxe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "b23e973b-b184-42cf-ec69-4bf4ab293f2e"
      },
      "source": [
        "df.reset_index(inplace=True)\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   index  node_start    node_end    X_from     Y_from      X_to       Y_to  \\\n",
              "0      0  1628201641    15830375 -1.363418  52.071204 -1.361617  52.069977   \n",
              "1      1    15830375    28264485 -1.361617  52.069977 -1.360150  52.068293   \n",
              "2      2    28264485  7404176252 -1.360150  52.068293 -1.357043  52.067339   \n",
              "3      3  7404176252    28264484 -1.357043  52.067339 -1.356344  52.067163   \n",
              "4      4    28264484  8701222220 -1.356344  52.067163 -1.351910  52.066679   \n",
              "\n",
              "   length  travel_time  \n",
              "0     184           14  \n",
              "1     215           16  \n",
              "2     238           18  \n",
              "3      52            4  \n",
              "4     314           23  "
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "          const element = document.querySelector('#df-02fa533e-48dc-44b5-8777-7fc4bccb8977');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  "
            ]
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          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R0NfWTYntCNc"
      },
      "source": [
        "def create_line_gdf(df):\n",
        "    gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.X_from, df.Y_from))\n",
        "    gdf[\"geometry_to\"] = [Point(xy) for xy in zip(gdf.X_to, gdf.Y_to)]\n",
        "    gdf['line'] = gdf.apply(lambda row: LineString([row['geometry_to'], row['geometry']]), axis=1)\n",
        "    line_gdf = gdf[[\"node_start\",\"node_end\",\"length\",\"travel_time\", \"line\"]].set_geometry('line')\n",
        "    return line_gdf"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H7HFfH--tCGE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "adef14c8-d74c-41d5-ae94-a101791f0070"
      },
      "source": [
        "line_gdf = create_line_gdf(df)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/pandas/core/dtypes/cast.py:127: ShapelyDeprecationWarning: The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.\n",
            "  arr = construct_1d_object_array_from_listlike(values)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/dtypes/cast.py:127: ShapelyDeprecationWarning: The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.\n",
            "  arr = construct_1d_object_array_from_listlike(values)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "36HzqefrdP0b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 129
        },
        "outputId": "9f747dd1-82a3-480e-c37b-5fcba1835a2b"
      },
      "source": [
        "line_gdf.plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<AxesSubplot: >"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u50ewr8snhG1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "cb1b8029-2ce8-4b20-9937-3d512e41fdf7"
      },
      "source": [
        "line_gdf.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   node_start    node_end  length  travel_time  \\\n",
              "0  1628201641    15830375     184           14   \n",
              "1    15830375    28264485     215           16   \n",
              "2    28264485  7404176252     238           18   \n",
              "3  7404176252    28264484      52            4   \n",
              "4    28264484  8701222220     314           23   \n",
              "\n",
              "                                                line  \n",
              "0  LINESTRING (-1.36162 52.06998, -1.36342 52.07120)  \n",
              "1  LINESTRING (-1.36015 52.06829, -1.36162 52.06998)  \n",
              "2  LINESTRING (-1.35704 52.06734, -1.36015 52.06829)  \n",
              "3  LINESTRING (-1.35634 52.06716, -1.35704 52.06734)  \n",
              "4  LINESTRING (-1.35191 52.06668, -1.35634 52.06716)  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0e1aa04d-c26c-4d8d-ac5a-d4dd2dcb0982\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>node_start</th>\n",
              "      <th>node_end</th>\n",
              "      <th>length</th>\n",
              "      <th>travel_time</th>\n",
              "      <th>line</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1628201641</td>\n",
              "      <td>15830375</td>\n",
              "      <td>184</td>\n",
              "      <td>14</td>\n",
              "      <td>LINESTRING (-1.36162 52.06998, -1.36342 52.07120)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>15830375</td>\n",
              "      <td>28264485</td>\n",
              "      <td>215</td>\n",
              "      <td>16</td>\n",
              "      <td>LINESTRING (-1.36015 52.06829, -1.36162 52.06998)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28264485</td>\n",
              "      <td>7404176252</td>\n",
              "      <td>238</td>\n",
              "      <td>18</td>\n",
              "      <td>LINESTRING (-1.35704 52.06734, -1.36015 52.06829)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7404176252</td>\n",
              "      <td>28264484</td>\n",
              "      <td>52</td>\n",
              "      <td>4</td>\n",
              "      <td>LINESTRING (-1.35634 52.06716, -1.35704 52.06734)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>28264484</td>\n",
              "      <td>8701222220</td>\n",
              "      <td>314</td>\n",
              "      <td>23</td>\n",
              "      <td>LINESTRING (-1.35191 52.06668, -1.35634 52.06716)</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0e1aa04d-c26c-4d8d-ac5a-d4dd2dcb0982')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fECMPv67ZNt6"
      },
      "source": [
        "start = df[df[\"node_start\"] == start_node]\n",
        "end = df[df[\"node_end\"] == end_node]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
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          "data": {
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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          "metadata": {},
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    {
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        "outputId": "aa9d655b-a83f-4acb-a355-5099bc749282"
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      "source": [
        "end"
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      "execution_count": null,
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        {
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              "    index  node_start  node_end    X_from     Y_from      X_to       Y_to  \\\n",
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              "\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-5e169da0-9c43-4166-9694-507a499f1ab6 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5e169da0-9c43-4166-9694-507a499f1ab6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
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              "  "
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          "metadata": {},
          "execution_count": 18
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wqRCGBhWZnMc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "d7df77fd-9583-4181-b380-b7fc17e35fe5"
      },
      "source": [
        "px.set_mapbox_access_token(\"pk.eyJ1Ijoic2hha2Fzb20iLCJhIjoiY2plMWg1NGFpMXZ5NjJxbjhlM2ttN3AwbiJ9.RtGYHmreKiyBfHuElgYq_w\")\n",
        "px.scatter_mapbox(df, lon= \"X_from\", lat=\"Y_from\", zoom=12)"
      ],
      "execution_count": null,
      "outputs": [
        {
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yoouf3DYZtJD",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "outputId": "eacc8577-dee8-4ceb-a300-1c8171e36e4b"
      },
      "source": [
        "fig = px.scatter_mapbox(df, lon= \"X_from\", lat=\"Y_from\", width=800, height=400, zoom=12)\n",
        "fig.add_trace(px.line_mapbox(df, lon= \"X_from\", lat=\"Y_from\").data[0])\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pAOgt_i0aLOM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 917
        },
        "outputId": "9f96edb9-dfd6-497a-d6e5-75a7b272d67f"
      },
      "source": [
        "fig = px.scatter_mapbox(df, lon= \"X_from\", lat=\"Y_from\", zoom=13, width=1800, height=900, animation_frame=\"index\",mapbox_style=\"dark\")\n",
        "fig.data[0].marker = dict(size = 30, color=\"yellow\")\n",
        "fig.add_trace(px.scatter_mapbox(start, lon= \"X_from\", lat=\"Y_from\").data[0])\n",
        "fig.data[1].marker = dict(size = 15, color=\"red\")\n",
        "fig.add_trace(px.scatter_mapbox(end, lon= \"X_from\", lat=\"Y_from\").data[0])\n",
        "fig.data[2].marker = dict(size = 15, color=\"green\")\n",
        "fig.add_trace(px.line_mapbox(df, lon= \"X_from\", lat=\"Y_from\").data[0])\n",
        "fig"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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