osm2gmns_quickstart_Gilbert.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "KbmkUUHXWpXS"
      ],
      "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/asu-trans-ai-lab/OSM2GMNS/blob/master/osm2gmns_quickstart_Gilbert.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# __OSM2GMNS Quickstart Notebook__\n",
        "\n",
        "OSM2GMNS is a Python package that helps generate high-fidelity mesoscopic transportation network models from OpenStreetMap data. This enables even the smallest transportation authorities to begin analysis with a high quality network model for future analysis. \n"
      ],
      "metadata": {
        "id": "KbmkUUHXWpXS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 1. Data Collection\n",
        "We rely on a few open-source projects to gather the raw data to start our analysis. Export data from your area of interest from the following sources.\n",
        " * __OpenStreetMap base map__: https://www.openstreetmap.org/export\n",
        "   * __Geofabrik__: Alternative for non-rectangular Areas of Interest: http://download.geofabrik.de/\n",
        " * __Bike Transport Info__ (Optional):  https://extract.bbbike.org\n",
        "\n",
        "For this demonstration, we'll use sample data from the ASU Transit AI Lab Github\n",
        "\n",
        "osm2gmns also enables users to download OSM data within the region of interest using a built-in function. A region can be a state, city, or even university. On OpenStreetMap homepage, search the region name to get its unique relation id. The following example shows how to download Tempe city OSM data using function downloadOSMData.\n",
        "\n",
        "https://www.openstreetmap.org/#map=18/33.42141/-111.93472&layers=DG "
      ],
      "metadata": {
        "id": "9URrMF7xXE-g"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 2. Install the osm2gmns package"
      ],
      "metadata": {
        "id": "nqUaVegsbTO_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install osm2gmns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0L0kgefhbZaB",
        "outputId": "e5c37804-f22e-4d41-eccf-605a2acb38de"
      },
      "execution_count": 1,
      "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 osm2gmns\n",
            "  Downloading osm2gmns-0.7.1-py3-none-any.whl (58 kB)\n",
            "\u001b[K     |████████████████████████████████| 58 kB 985 kB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from osm2gmns) (1.21.6)\n",
            "Collecting osmium>=3.1.3\n",
            "  Downloading osmium-3.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.3 MB 9.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: shapely>=1.7 in /usr/local/lib/python3.8/dist-packages (from osm2gmns) (1.8.5.post1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from osmium>=3.1.3->osm2gmns) (2.23.0)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->osmium>=3.1.3->osm2gmns) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->osmium>=3.1.3->osm2gmns) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->osmium>=3.1.3->osm2gmns) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->osmium>=3.1.3->osm2gmns) (2022.9.24)\n",
            "Installing collected packages: osmium, osm2gmns\n",
            "Successfully installed osm2gmns-0.7.1 osmium-3.5.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 3. Create a network model from OpenStreetMap exports"
      ],
      "metadata": {
        "id": "WobI3HSQbqsw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import osm2gmns with the alias as \"og\" (easier to type)\n",
        "import osm2gmns as og\n",
        "# relation id for Manhattan  is 8398124\n",
        "# relation id for City of Tempe is 110833.\n",
        "# relation id for city of Gilbert is 110803\n",
        "og.downloadOSMData(110803, 'map.osm')\n",
        "# Generate a net from the Tempe, AZ OpenStreetMap export and include Points of Interest (POI=True)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ila8lUreb0TB",
        "outputId": "7e0dab67-dcde-49f9-b924-64ad7cf09da1"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "osm2gmns, 0.7.1\n",
            "valid reponses got from API server.\n",
            "receving data...\n",
            "map data has been written to map.osm\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "input_file = 'map.osm'\n",
        "net = og.getNetFromFile(input_file, link_types=('motorway','trunk','primary','secondary', 'tertiary')) \n",
        "\n",
        "# Use og.show(net) to visualize the network model\n",
        "og.show(net)"
      ],
      "metadata": {
        "id": "O4RJqNGWVtxk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "6a9f5209-086c-4c5c-83d7-9989023db053"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "arguments used for network parsing:\n",
            "  filename: map.osm\n",
            "  network_types: ('auto',)\n",
            "  link_types: ('motorway', 'trunk', 'primary', 'secondary', 'tertiary')\n",
            "  POI: False\n",
            "  POI_sampling_ratio: 1.0\n",
            "  strict_mode: True\n",
            "  offset: no\n",
            "  min_nodes: 1\n",
            "  combine: False\n",
            "  bbox: None\n",
            "  default_lanes: False\n",
            "  default_speed: False\n",
            "  default_capacity: False\n",
            "  start_node_id: 0\n",
            "  start_link_id: 0\n",
            "\n",
            "Building Network from OSM file\n",
            "  reading osm file\n",
            "  parsing osm network\n",
            "    generating nodes and links\n",
            "  number of nodes: 4165, number of links: 5907, number of pois: 0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x1184.41 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#4. Modify the network model "
      ],
      "metadata": {
        "id": "CShNFfHWdHT2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Example: Consolidate Complex Intersections \n",
        "Intersections can have lots of nodes representing different turn lanes, crosswalks, etc. \n",
        "\n",
        "Using og.consolidateComplexIntersections(net), we can combine nodes in intersections into a single node to make analysis faster and simpler"
      ],
      "metadata": {
        "id": "p1xUAFM1TV4y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "og.consolidateComplexIntersections(net)\n",
        "og.show(net)"
      ],
      "metadata": {
        "id": "cIVcv2OZTZVB",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c8ae9d70-5c09-4322-f5c8-c48a8558618f"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Consolidating Complex Intersections\n",
            "    0 intersections have been consolidated\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-4-5ab04fdc7a33>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsolidateComplexIntersections\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnet\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnet\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/osm2gmns/osmnet/visualization.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(network, save, figsize)\u001b[0m\n\u001b[1;32m     56\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Matplotlib is required to show the network\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 58\u001b[0;31m     \u001b[0m_draw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnetwork\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     59\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0msave\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\u001b[0m         \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'network.jpg'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/osm2gmns/osmnet/visualization.py\u001b[0m in \u001b[0;36m_draw\u001b[0;34m(network, figsize)\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mlink_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlink\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnetwork\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlink_dict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m         \u001b[0mxys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlink\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgeometry_xy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     28\u001b[0m         \u001b[0mxys_array\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxys\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m         \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxys_array\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxys_array\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'deepskyblue'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mzorder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/shapely/coords.py\u001b[0m in \u001b[0;36m__len__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     56\u001b[0m             \u001b[0mcs_len\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mc_uint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cseq\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 58\u001b[0;31m                 \u001b[0mlgeos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGEOSCoordSeq_getSize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cseq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbyref\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcs_len\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     59\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mcs_len\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Error in callback <function install_repl_displayhook.<locals>.post_execute at 0x7f81fc0be8b0> (for post_execute):\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mpost_execute\u001b[0;34m()\u001b[0m\n\u001b[1;32m    107\u001b[0m             \u001b[0;32mdef\u001b[0m \u001b[0mpost_execute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    108\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_interactive\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 109\u001b[0;31m                     \u001b[0mdraw_all\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    110\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    111\u001b[0m             \u001b[0;31m# IPython >= 2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/_pylab_helpers.py\u001b[0m in \u001b[0;36mdraw_all\u001b[0;34m(cls, force)\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mf_mgr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_all_fig_managers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mforce\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mf_mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstale\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m                 \u001b[0mf_mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw_idle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0matexit\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregister\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mGcf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdestroy_all\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mdraw_idle\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1945\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_idle_drawing\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1946\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_idle_draw_cntx\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1947\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1948\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1949\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdeprecated\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"3.2\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    391\u001b[0m              (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar\n\u001b[1;32m    392\u001b[0m               else nullcontext()):\n\u001b[0;32m--> 393\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    394\u001b[0m             \u001b[0;31m# A GUI class may be need to update a window using this draw, so\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    395\u001b[0m             \u001b[0;31m# don't forget to call the superclass.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     36\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 38\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     39\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   1733\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1734\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1735\u001b[0;31m             mimage._draw_list_compositing_images(\n\u001b[0m\u001b[1;32m   1736\u001b[0m                 renderer, self, artists, self.suppressComposite)\n\u001b[1;32m   1737\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    135\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 137\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    138\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    139\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     36\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 38\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     39\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, inframe)\u001b[0m\n\u001b[1;32m   2628\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_rasterizing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2629\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2630\u001b[0;31m         \u001b[0mmimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_draw_list_compositing_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2631\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2632\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axes'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    135\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 137\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    138\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    139\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     36\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 38\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     39\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/lines.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    800\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    801\u001b[0m                 \u001b[0mgc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_dashes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dashOffset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dashSeq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 802\u001b[0;31m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maffine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrozen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    803\u001b[0m                 \u001b[0mgc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    804\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mdraw_path\u001b[0;34m(self, gc, path, transform, rgbFace)\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    151\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 152\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_renderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrgbFace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    153\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mOverflowError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m                 raise OverflowError(\"Exceeded cell block limit (set \"\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36m__array__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__array__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 279\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_points\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    280\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    281\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdeprecated\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"3.2\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mget_points\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1020\u001b[0m             \u001b[0;31m# from the result, taking care to make the orientation the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1021\u001b[0m             \u001b[0;31m# same.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1022\u001b[0;31m             points = self._transform.transform(\n\u001b[0m\u001b[1;32m   1023\u001b[0m                 [[p[0, 0], p[0, 1]],\n\u001b[1;32m   1024\u001b[0m                  \u001b[0;34m[\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mtransform\u001b[0;34m(self, values)\u001b[0m\n\u001b[1;32m   1403\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1404\u001b[0m         \u001b[0;31m# Transform the values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1405\u001b[0;31m         \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_non_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1406\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1407\u001b[0m         \u001b[0;31m# Convert the result back to the shape of the input values.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mtransform_affine\u001b[0;34m(self, points)\u001b[0m\n\u001b[1;32m   2363\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtransform_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2364\u001b[0m         \u001b[0;31m# docstring inherited\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2365\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2367\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtransform_non_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mget_affine\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2390\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_b\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2391\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2392\u001b[0;31m             return Affine2D(np.dot(self._b.get_affine().get_matrix(),\n\u001b[0m\u001b[1;32m   2393\u001b[0m                                 self._a.get_affine().get_matrix()))\n\u001b[1;32m   2394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mdot\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Error in callback <function flush_figures at 0x7f81fafaa4c0> (for post_execute):\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/ipykernel/pylab/backend_inline.py\u001b[0m in \u001b[0;36mflush_figures\u001b[0;34m()\u001b[0m\n\u001b[1;32m    119\u001b[0m         \u001b[0;31m# ignore the tracking, just draw and close all figures\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    122\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m             \u001b[0;31m# safely show traceback if in IPython, else raise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/ipykernel/pylab/backend_inline.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(close, block)\u001b[0m\n\u001b[1;32m     39\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mfigure_manager\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mGcf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_all_fig_managers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             display(\n\u001b[0m\u001b[1;32m     42\u001b[0m                 \u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m                 \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_fetch_figure_metadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mdisplay\u001b[0;34m(include, exclude, metadata, transient, display_id, *objs, **kwargs)\u001b[0m\n\u001b[1;32m    311\u001b[0m             \u001b[0mpublish_display_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    312\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 313\u001b[0;31m             \u001b[0mformat_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmd_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minclude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexclude\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    314\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mformat_dict\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    315\u001b[0m                 \u001b[0;31m# nothing to display (e.g. _ipython_display_ took over)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mformat\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    178\u001b[0m             \u001b[0mmd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    181\u001b[0m             \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m                 \u001b[0;31m# FIXME: log the exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<decorator-gen-2>\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    222\u001b[0m     \u001b[0;34m\"\"\"show traceback on failed format call\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 224\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    225\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    226\u001b[0m         \u001b[0;31m# don't warn on NotImplementedErrors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    242\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    243\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 244\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    245\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m     \u001b[0mbytes_io\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    129\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m   2100\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2101\u001b[0m                     \u001b[0mbbox_artists\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"bbox_extra_artists\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2102\u001b[0;31m                     bbox_inches = self.figure.get_tightbbox(renderer,\n\u001b[0m\u001b[1;32m   2103\u001b[0m                             bbox_extra_artists=bbox_artists)\n\u001b[1;32m   2104\u001b[0m                     \u001b[0mpad\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"pad_inches\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36mget_tightbbox\u001b[0;34m(self, renderer, bbox_extra_artists)\u001b[0m\n\u001b[1;32m   2384\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2385\u001b[0m             \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_tightbbox\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2386\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mbbox\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mbbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwidth\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mbbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheight\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2387\u001b[0m                 \u001b[0mbb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbbox\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2388\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mwidth\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    396\u001b[0m         \u001b[0;34m\"\"\"The (signed) width of the bounding box.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    397\u001b[0m         \u001b[0mpoints\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_points\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 398\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    399\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    400\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Example: Points of Interest\n",
        "\n",
        "We can connect Points of Interest (POIs) to the network model. Nodes representing the center (centroids) of POIs are generated. These nodes are connected with a link to the nearest node on the rest of the network"
      ],
      "metadata": {
        "id": "FUCd9l0ydMfk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "net = og.getNetFromFile('map.osm', link_types=('motorway','trunk','primary','secondary','tertiary'), POI=True, POI_sampling_ratio=0.05)\n",
        "og.connectPOIWithNet(net)\n",
        "og.show(net)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HO5sgUZtdG5R",
        "outputId": "7fbae5c7-070f-46fd-d20b-6c48e99f712c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "arguments used for network parsing:\n",
            "  filename: map.osm\n",
            "  network_types: ('auto',)\n",
            "  link_types: ('motorway', 'trunk', 'primary', 'secondary', 'tertiary')\n",
            "  POI: True\n",
            "  POI_sampling_ratio: 0.05\n",
            "  strict_mode: True\n",
            "  offset: no\n",
            "  min_nodes: 1\n",
            "  combine: False\n",
            "  bbox: None\n",
            "  default_lanes: False\n",
            "  default_speed: False\n",
            "  default_capacity: False\n",
            "  start_node_id: 0\n",
            "  start_link_id: 0\n",
            "\n",
            "Building Network from OSM file\n",
            "  reading osm file\n",
            "  parsing osm network\n",
            "    generating nodes and links\n",
            "    generating POIs\n",
            "  number of nodes: 4165, number of links: 5907, number of pois: 4587\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x1193.81 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#5. Export transportation network model\n",
        "\n",
        "We can export our transportation network model to a CSV format for ease of use in further analysis with other systems. \n",
        "\n",
        "og.outputNetToCSV(...) will generate two files: node.csv representing nodes, and link.csv representing links (edges) between nodes."
      ],
      "metadata": {
        "id": "1JebB_n6f5Co"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "og.outputNetToCSV(net)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8QtMOShGgB2Q",
        "outputId": "c4c35b68-a38c-491e-e8f4-7c1f440dba11"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Outputting Network Files\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Take a peek at the format of the CSVs using the Pandas library\n",
        "Loading the CSV files gives us a DataFrame object which is very heavily used in \n",
        "data science and analysis. \n",
        "\n",
        "For more information on how this data is organized, check out the GMNS specification\n",
        "\n",
        "https://github.com/zephyr-data-specs/GMNS/pull/54\n",
        "\n",
        "\"\"\"\n",
        "\n",
        "import pandas as pd\n",
        "\n",
        "node_dataframe = pd.read_csv(\"node.csv\")\n",
        "node_dataframe.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "SNYnbMiFgW0h",
        "outputId": "d66f80bc-8c61-4313-8bfb-b94e9ace7da1"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   name  node_id   osm_node_id      osm_highway  zone_id ctrl_type  node_type  \\\n",
              "0   NaN        0  3.870347e+09  traffic_signals      NaN    signal        NaN   \n",
              "1   NaN        1  5.201485e+09              NaN      NaN       NaN        NaN   \n",
              "2   NaN        2  5.367568e+09              NaN      NaN       NaN        NaN   \n",
              "3   NaN        3  1.978267e+09              NaN      NaN       NaN        NaN   \n",
              "4   NaN        4  3.240434e+09              NaN      NaN       NaN        NaN   \n",
              "\n",
              "   activity_type  is_boundary     x_coord    y_coord  intersection_id  poi_id  \\\n",
              "0            NaN          NaN -111.719456  33.383893              NaN     NaN   \n",
              "1            NaN          NaN -111.718235  33.383516              NaN     NaN   \n",
              "2            NaN          NaN -111.729097  33.211979              NaN     NaN   \n",
              "3            NaN          NaN -111.729198  33.212797              NaN     NaN   \n",
              "4            NaN          NaN -111.729253  33.216429              NaN     NaN   \n",
              "\n",
              "   notes  \n",
              "0    NaN  \n",
              "1    NaN  \n",
              "2    NaN  \n",
              "3    NaN  \n",
              "4    NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-441643dc-1e78-4717-87c8-2a9fa6de9eb3\">\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>name</th>\n",
              "      <th>node_id</th>\n",
              "      <th>osm_node_id</th>\n",
              "      <th>osm_highway</th>\n",
              "      <th>zone_id</th>\n",
              "      <th>ctrl_type</th>\n",
              "      <th>node_type</th>\n",
              "      <th>activity_type</th>\n",
              "      <th>is_boundary</th>\n",
              "      <th>x_coord</th>\n",
              "      <th>y_coord</th>\n",
              "      <th>intersection_id</th>\n",
              "      <th>poi_id</th>\n",
              "      <th>notes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>3.870347e+09</td>\n",
              "      <td>traffic_signals</td>\n",
              "      <td>NaN</td>\n",
              "      <td>signal</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-111.719456</td>\n",
              "      <td>33.383893</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>5.201485e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-111.718235</td>\n",
              "      <td>33.383516</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>2</td>\n",
              "      <td>5.367568e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-111.729097</td>\n",
              "      <td>33.211979</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3</td>\n",
              "      <td>1.978267e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-111.729198</td>\n",
              "      <td>33.212797</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
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          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "link_dataframe = pd.read_csv(\"link.csv\")\n",
        "link_dataframe.head()"
      ],
      "metadata": {
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          "height": 530
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        "outputId": "c9f40735-55dd-417e-915e-51e01ef1d1e9"
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      "execution_count": 8,
      "outputs": [
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              "                      name  link_id  osm_way_id  from_node_id  to_node_id  \\\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d44d7561-08f1-47b3-b220-1277970f1425');\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",
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          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "link_dataframe = pd.read_csv(\"poi.csv\")\n",
        "link_dataframe.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
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        "id": "_pcNV8TCYOWV",
        "outputId": "f2c3742a-ab50-4b86-d90b-7d5ff5d46b26"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  name  poi_id    osm_way_id  osm_relation_id building amenity leisure  way  \\\n",
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              "      <td>NaN</td>\n",
              "      <td>POLYGON ((-111.783664 33.3117063, -111.7835434...</td>\n",
              "      <td>POINT (-111.7836063 33.3117696)</td>\n",
              "      <td>153.5</td>\n",
              "      <td>1651.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>2</td>\n",
              "      <td>9.878410e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POLYGON ((-111.691347 33.366093, -111.691474 3...</td>\n",
              "      <td>POINT (-111.691448 33.366109)</td>\n",
              "      <td>164.3</td>\n",
              "      <td>1768.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3</td>\n",
              "      <td>9.877371e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POLYGON ((-111.696427 33.370076, -111.696542 3...</td>\n",
              "      <td>POINT (-111.6965007 33.3700134)</td>\n",
              "      <td>168.7</td>\n",
              "      <td>1815.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>4</td>\n",
              "      <td>1.115769e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POLYGON ((-111.714205 33.230756, -111.713995 3...</td>\n",
              "      <td>POINT (-111.7140922 33.2308325)</td>\n",
              "      <td>397.2</td>\n",
              "      <td>4275.9</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "              style=\"display:none;\">\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "          const element = document.querySelector('#df-877ccead-a5da-448c-85a7-0b0a83ffa490');\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",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#6. Basic analysis with Pandas\n",
        "\n",
        "The node and link files are in CSV format, which can be used with a wide variety of programming languages, such as R, and programs, such as Excel.\n",
        "\n",
        "Here, we show a quick demonstration of some simple analysis using Python"
      ],
      "metadata": {
        "id": "17tTpV4Ah0-O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# From the previous cells, we have pandas DataFrame objects representing the node and link data for our model\n",
        "print(node_dataframe.head(), link_dataframe.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z52bpRrVhzM_",
        "outputId": "202620da-6529-4a75-f4d4-741c3194cc58"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   name  node_id   osm_node_id      osm_highway  zone_id ctrl_type  node_type  \\\n",
            "0   NaN        0  3.870347e+09  traffic_signals      NaN    signal        NaN   \n",
            "1   NaN        1  5.201485e+09              NaN      NaN       NaN        NaN   \n",
            "2   NaN        2  5.367568e+09              NaN      NaN       NaN        NaN   \n",
            "3   NaN        3  1.978267e+09              NaN      NaN       NaN        NaN   \n",
            "4   NaN        4  3.240434e+09              NaN      NaN       NaN        NaN   \n",
            "\n",
            "   activity_type  is_boundary     x_coord    y_coord  intersection_id  poi_id  \\\n",
            "0            NaN          NaN -111.719456  33.383893              NaN     NaN   \n",
            "1            NaN          NaN -111.718235  33.383516              NaN     NaN   \n",
            "2            NaN          NaN -111.729097  33.211979              NaN     NaN   \n",
            "3            NaN          NaN -111.729198  33.212797              NaN     NaN   \n",
            "4            NaN          NaN -111.729253  33.216429              NaN     NaN   \n",
            "\n",
            "   notes  \n",
            "0    NaN  \n",
            "1    NaN  \n",
            "2    NaN  \n",
            "3    NaN  \n",
            "4    NaN     name  poi_id    osm_way_id  osm_relation_id building amenity leisure  way  \\\n",
            "0  NaN       0  1.052523e+09              NaN    house     NaN     NaN  NaN   \n",
            "1  NaN       1  1.113143e+09              NaN      yes     NaN     NaN  NaN   \n",
            "2  NaN       2  9.878410e+08              NaN      yes     NaN     NaN  NaN   \n",
            "3  NaN       3  9.877371e+08              NaN      yes     NaN     NaN  NaN   \n",
            "4  NaN       4  1.115769e+09              NaN      yes     NaN     NaN  NaN   \n",
            "\n",
            "                                            geometry  \\\n",
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            "1  POLYGON ((-111.783664 33.3117063, -111.7835434...   \n",
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            "4  POLYGON ((-111.714205 33.230756, -111.713995 3...   \n",
            "\n",
            "                          centroid   area  area_ft2  \n",
            "0  POINT (-111.7198276 33.2754207)  219.9    2367.5  \n",
            "1  POINT (-111.7836063 33.3117696)  153.5    1651.8  \n",
            "2    POINT (-111.691448 33.366109)  164.3    1768.9  \n",
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            "4  POINT (-111.7140922 33.2308325)  397.2    4275.9  \n"
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}