08_Graph_Optimization_Problems_TSP.ipynb

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  "metadata": {
    "colab": {
      "name": "08_Graph_Optimization_Problems-TSP.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/bwsi-hadr/08-Graph-Optimization-TSP/blob/master/08_Graph_Optimization_Problems_TSP.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f0F8I8wnm5gX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a4c4b069-041a-4636-cfd5-40c61263f83f"
      },
      "source": [
        "import networkx as nx\n",
        "try:\n",
        "  import osmnx as ox\n",
        "except:\n",
        "  # osmnx depends on the system package libspatialindex\n",
        "  !apt install libspatialindex-dev\n",
        "  !pip install osmnx\n",
        "  import osmnx as ox\n",
        "\n",
        "try: \n",
        "  import geopandas as gpd\n",
        "except: \n",
        "  !pip install geopandas \n",
        "  import geopandas as gpd\n",
        "  \n",
        "try:\n",
        "  import contextily as ctx \n",
        "except:\n",
        "  # install dependencies for contextily\n",
        "  !apt install libproj-dev proj-data proj-bin\n",
        "  !apt install libgeos-dev\n",
        "  !pip install cython\n",
        "  !pip install cartopy\n",
        "  # install contextily\n",
        "  !pip install contextily==1.0rc1 --no-use-pep517 --no-cache-dir\n",
        "  import contextily as ctx\n",
        "  \n",
        "import fiona\n",
        "from shapely.geometry import Point, LineString, Polygon\n",
        "  \n",
        "import gdal\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pathlib"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-410\n",
            "Use 'apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  libspatialindex-c4v5 libspatialindex4v5\n",
            "The following NEW packages will be installed:\n",
            "  libspatialindex-c4v5 libspatialindex-dev libspatialindex4v5\n",
            "0 upgraded, 3 newly installed, 0 to remove and 7 not upgraded.\n",
            "Need to get 555 kB of archives.\n",
            "After this operation, 3,308 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/universe amd64 libspatialindex-dev amd64 1.8.5-5 [285 kB]\n",
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            "(Reading database ... 131331 files and directories currently installed.)\n",
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            "Setting up libspatialindex4v5:amd64 (1.8.5-5) ...\n",
            "Setting up libspatialindex-c4v5:amd64 (1.8.5-5) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1) ...\n",
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            "Collecting osmnx\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/69/77/98cbee7f94abe2c60013fd8751f2b2d6054d48078c61f9774cff0b341f43/osmnx-0.10-py2.py3-none-any.whl (70kB)\n",
            "\u001b[K     |████████████████████████████████| 71kB 4.7MB/s \n",
            "\u001b[?25hRequirement already satisfied: matplotlib>=2.2 in /usr/local/lib/python3.6/dist-packages (from osmnx) (3.0.3)\n",
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            "Collecting Rtree>=0.8.3 (from osmnx)\n",
            "  Downloading https://files.pythonhosted.org/packages/33/0d/0bcb0fdd759570e85697189f675fa462131e5636482f2832288bbe4bb6f7/Rtree-0.8.3-py3-none-any.whl\n",
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            "Collecting geopandas>=0.5 (from osmnx)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/21/80/da2a33c9201cd4ce693f4aa6189efc9ef1a48bec1c3b02c3ce9908b07fec/geopandas-0.5.1-py2.py3-none-any.whl (893kB)\n",
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            "\u001b[?25hRequirement already satisfied: requests>=2.21 in /usr/local/lib/python3.6/dist-packages (from osmnx) (2.21.0)\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/89/4a/193cd6a75e51062c85f4e1cd6f312b3bbda6e26ba7510f152ef5016f0b16/Fiona-1.8.6-cp36-cp36m-manylinux1_x86_64.whl (17.9MB)\n",
            "\u001b[K     |████████████████████████████████| 17.9MB 45.7MB/s \n",
            "\u001b[?25hCollecting pyproj (from geopandas>=0.5->osmnx)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/16/59/43869adef45ce4f1cf7d5c3aef1ea5d65d449050abdda5de7a2465c5729d/pyproj-2.2.1-cp36-cp36m-manylinux1_x86_64.whl (11.2MB)\n",
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            "\u001b[?25hRequirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.21->osmnx) (3.0.4)\n",
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            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.1->matplotlib>=2.2->osmnx) (1.12.0)\n",
            "Collecting munch (from fiona->geopandas>=0.5->osmnx)\n",
            "  Downloading https://files.pythonhosted.org/packages/68/f4/260ec98ea840757a0da09e0ed8135333d59b8dfebe9752a365b04857660a/munch-2.3.2.tar.gz\n",
            "Collecting cligj>=0.5 (from fiona->geopandas>=0.5->osmnx)\n",
            "  Downloading https://files.pythonhosted.org/packages/e4/be/30a58b4b0733850280d01f8bd132591b4668ed5c7046761098d665ac2174/cligj-0.5.0-py3-none-any.whl\n",
            "Requirement already satisfied: attrs>=17 in /usr/local/lib/python3.6/dist-packages (from fiona->geopandas>=0.5->osmnx) (19.1.0)\n",
            "Collecting click-plugins>=1.0 (from fiona->geopandas>=0.5->osmnx)\n",
            "  Downloading https://files.pythonhosted.org/packages/e9/da/824b92d9942f4e472702488857914bdd50f73021efea15b4cad9aca8ecef/click_plugins-1.1.1-py2.py3-none-any.whl\n",
            "Requirement already satisfied: click<8,>=4.0 in /usr/local/lib/python3.6/dist-packages (from fiona->geopandas>=0.5->osmnx) (7.0)\n",
            "Building wheels for collected packages: munch\n",
            "  Building wheel for munch (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Stored in directory: /root/.cache/pip/wheels/db/bf/bc/06a3e1bfe0ab27d2e720ceb3cff3159398d92644c0cec2c125\n",
            "Successfully built munch\n",
            "Installing collected packages: Rtree, munch, cligj, click-plugins, fiona, pyproj, geopandas, osmnx\n",
            "Successfully installed Rtree-0.8.3 click-plugins-1.1.1 cligj-0.5.0 fiona-1.8.6 geopandas-0.5.1 munch-2.3.2 osmnx-0.10 pyproj-2.2.1\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "proj-data is already the newest version (4.9.3-2).\n",
            "proj-data set to manually installed.\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-410\n",
            "Use 'apt autoremove' to remove it.\n",
            "The following NEW packages will be installed:\n",
            "  libproj-dev proj-bin\n",
            "0 upgraded, 2 newly installed, 0 to remove and 7 not upgraded.\n",
            "Need to get 232 kB of archives.\n",
            "After this operation, 1,220 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libproj-dev amd64 4.9.3-2 [199 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 proj-bin amd64 4.9.3-2 [32.3 kB]\n",
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            "Selecting previously unselected package libproj-dev:amd64.\n",
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            "Preparing to unpack .../libproj-dev_4.9.3-2_amd64.deb ...\n",
            "Unpacking libproj-dev:amd64 (4.9.3-2) ...\n",
            "Selecting previously unselected package proj-bin.\n",
            "Preparing to unpack .../proj-bin_4.9.3-2_amd64.deb ...\n",
            "Unpacking proj-bin (4.9.3-2) ...\n",
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            "Setting up proj-bin (4.9.3-2) ...\n",
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            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-410\n",
            "Use 'apt autoremove' to remove it.\n",
            "Suggested packages:\n",
            "  libgdal-doc\n",
            "The following NEW packages will be installed:\n",
            "  libgeos-dev\n",
            "0 upgraded, 1 newly installed, 0 to remove and 7 not upgraded.\n",
            "Need to get 73.1 kB of archives.\n",
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            "Setting up libgeos-dev (3.6.2-1build2) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Requirement already satisfied: cython in /usr/local/lib/python3.6/dist-packages (0.29.12)\n",
            "Collecting cartopy\n",
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            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting pyshp>=1.1.4 (from cartopy)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/27/16/3bf15aa864fb77845fab8007eda22c2bd67bd6c1fd13496df452c8c43621/pyshp-2.1.0.tar.gz (215kB)\n",
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            "Building wheels for collected packages: cartopy\n",
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            "  Stored in directory: /root/.cache/pip/wheels/cd/cf/40/539f798f94e921e94fd376a5f9d213a6febe77754c0b187c73\n",
            "Successfully built cartopy\n",
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            "Installing collected packages: pyshp, cartopy\n",
            "Successfully installed cartopy-0.17.0 pyshp-2.1.0\n",
            "Collecting contextily==1.0rc1\n",
            "  Downloading https://files.pythonhosted.org/packages/1c/1c/534e6000b49003d0dc5261298e46853e405d5e27bae8232d1f3d4745b3de/contextily-1.0rc1-py3-none-any.whl\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.6/dist-packages (from contextily==1.0rc1) (0.24.2)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->contextily==1.0rc1) (2019.6.16)\n",
            "Requirement already satisfied: geographiclib<2,>=1.49 in /usr/local/lib/python3.6/dist-packages (from geopy->contextily==1.0rc1) (1.49)\n",
            "Requirement already satisfied: pyparsing>=2.1.6 in /usr/local/lib/python3.6/dist-packages (from snuggs>=1.4.1->rasterio->contextily==1.0rc1) (2.4.0)\n",
            "Installing collected packages: affine, snuggs, rasterio, mercantile, contextily\n",
            "Successfully installed affine-2.2.2 contextily-1.0rc1 mercantile-1.1.1 rasterio-1.0.24 snuggs-1.4.6\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M3ViLfABnRgS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ejhrKBqPng9F",
        "colab_type": "text"
      },
      "source": [
        "# Traveling Salesman Problem\n",
        "The canonical Traveling Salesman Problem is stated as:\n",
        ">  \"Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city and returns to the origin city?\"\n",
        "\n",
        "This is generalizable to finding the shortest [Hamiltonian cycle](http://mathworld.wolfram.com/HamiltonianCycle.html) on a fully connected graph (i.e. all nodes can be reached from all other nodes).\n",
        "\n",
        "This problem is [NP-hard](https://en.wikipedia.org/wiki/P_versus_NP_problem), meaning it is not possible for an algorithm to solve all instances of the problem quickly (i.e. in polynomial time). However, there are many approximate and heuristic approaches which can give reasonable solutions in shorter time."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C6JmtPFto13K",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "place_name = 'New York City, NY, United States'\n",
        "place_roads = ox.graph_from_place(place_name)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k5W0RTsawXlE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "place_roads_nodes, place_roads_edges = ox.graph_to_gdfs(place_roads)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hnp2qXbMss49",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        },
        "outputId": "08d8d5d5-600f-482e-9623-e7691cf4e06c"
      },
      "source": [
        "fig = plt.figure(figsize=[10,10])\n",
        "ax = fig.add_subplot(1,1,1)\n",
        "place_roads_edges.plot(ax=ax, color=[0.8, 0.8, 0.8], alpha=0.5)"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f43676f18d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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fgze57m1DRJogCMIHhk5WYRjyTJBhGHAcB4vFAo1GA/P5HIvFgmdsms3mnbMTEN4PZBBL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\nXwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IoiI3SS1pIIs",
        "colab_type": "text"
      },
      "source": [
        "Let's say you wanted to do a ice cream crawl: you want to visit every ice cream shop in a city. What is the shortest route that you would take that takes you to every ice cream shop in a city and brings you back to your starting point?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tAQK62C7pB7V",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 779
        },
        "outputId": "8323c432-4da4-4e10-bd43-8a9534da31da"
      },
      "source": [
        "place_ice_cream = ox.pois_from_place(place_name, amenities=['ice_cream'])\n",
        "place_ice_cream"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>addr:city</th>\n",
              "      <th>addr:housenumber</th>\n",
              "      <th>addr:postcode</th>\n",
              "      <th>addr:state</th>\n",
              "      <th>addr:street</th>\n",
              "      <th>amenity</th>\n",
              "      <th>brand</th>\n",
              "      <th>brand:wikidata</th>\n",
              "      <th>brand:wikipedia</th>\n",
              "      <th>contact:email</th>\n",
              "      <th>cuisine</th>\n",
              "      <th>delivery</th>\n",
              "      <th>description</th>\n",
              "      <th>drive_through</th>\n",
              "      <th>element_type</th>\n",
              "      <th>email</th>\n",
              "      <th>geometry</th>\n",
              "      <th>name</th>\n",
              "      <th>opening_hours</th>\n",
              "      <th>osmid</th>\n",
              "      <th>outdoor_seating</th>\n",
              "      <th>phone</th>\n",
              "      <th>takeaway</th>\n",
              "      <th>toilets</th>\n",
              "      <th>toilets:access</th>\n",
              "      <th>website</th>\n",
              "      <th>wheelchair</th>\n",
              "      <th>wikidata</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>317333141</th>\n",
              "      <td>NaN</td>\n",
              "      <td>899</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Main Street</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.0994275 42.3635462)</td>\n",
              "      <td>Toscanini's</td>\n",
              "      <td>Closed for construction</td>\n",
              "      <td>317333141</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>yes</td>\n",
              "      <td>customers</td>\n",
              "      <td>https://www.tosci.com/</td>\n",
              "      <td>no</td>\n",
              "      <td>Q7827577</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>480692709</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>no</td>\n",
              "      <td>NaN</td>\n",
              "      <td>no</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.11749090000001 42.3728601)</td>\n",
              "      <td>J. P. Licks</td>\n",
              "      <td>NaN</td>\n",
              "      <td>480692709</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541316313</th>\n",
              "      <td>NaN</td>\n",
              "      <td>403</td>\n",
              "      <td>02139</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Massachusetts Avenue</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.1000483 42.3635902)</td>\n",
              "      <td>New City Microcreamery</td>\n",
              "      <td>NaN</td>\n",
              "      <td>541316313</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://newcitymicrocreamery.com</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1831393836</th>\n",
              "      <td>Cambridge</td>\n",
              "      <td>1255</td>\n",
              "      <td>02139</td>\n",
              "      <td>MA</td>\n",
              "      <td>Cambridge Street</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>iceandspice@comcast.net</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>no</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.09838259999999 42.3735097)</td>\n",
              "      <td>Christina's Homemade Ice Cream</td>\n",
              "      <td>Mo-Su 11:30-22:30</td>\n",
              "      <td>1831393836</td>\n",
              "      <td>NaN</td>\n",
              "      <td>+1-617-492-7021</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://christinasicecream.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5037446745</th>\n",
              "      <td>Somerville</td>\n",
              "      <td>415</td>\n",
              "      <td>02145</td>\n",
              "      <td>MA</td>\n",
              "      <td>Medford Street</td>\n",
              "      <td>ice_cream</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>contact@tippingcowicecream.com</td>\n",
              "      <td>POINT (-71.09941689999999 42.3914845)</td>\n",
              "      <td>Tipping Cow</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5037446745</td>\n",
              "      <td>NaN</td>\n",
              "      <td>+1-617-718-0558</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.tippingcowicecream.com</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5695456136</th>\n",
              "      <td>NaN</td>\n",
              "      <td>36</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Davis Square</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>no</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.1224698 42.396944)</td>\n",
              "      <td>J.P. Licks</td>\n",
              "      <td>Su-Th 11:00-23:00; Fr-Sa 11:00-24:00</td>\n",
              "      <td>5695456136</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5916924485</th>\n",
              "      <td>Cambridge</td>\n",
              "      <td>159</td>\n",
              "      <td>02142</td>\n",
              "      <td>MA</td>\n",
              "      <td>First Street</td>\n",
              "      <td>ice_cream</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.07816080000001 42.3660456)</td>\n",
              "      <td>Toscanini's Ice Cream</td>\n",
              "      <td>Mo-Su 10:00-23:00</td>\n",
              "      <td>5916924485</td>\n",
              "      <td>NaN</td>\n",
              "      <td>+1 (617) 491-5877</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.tosci.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6101491948</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ice_cream</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.11979700000001 42.3831991)</td>\n",
              "      <td>Honeycomb Creamery</td>\n",
              "      <td>Su-Th 12:00-22:00; Fr,Sa 12:00-23:00</td>\n",
              "      <td>6101491948</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6113522434</th>\n",
              "      <td>Somerville</td>\n",
              "      <td>626</td>\n",
              "      <td>NaN</td>\n",
              "      <td>MA</td>\n",
              "      <td>Somerville Avenue</td>\n",
              "      <td>ice_cream</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.1107985 42.3838875)</td>\n",
              "      <td>Forge Ice Cream Bar</td>\n",
              "      <td>Mo-Fr 14:00-21:00; Sa-Su 12:00-21:00</td>\n",
              "      <td>6113522434</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6114610858</th>\n",
              "      <td>Cambridge</td>\n",
              "      <td>1668</td>\n",
              "      <td>02138</td>\n",
              "      <td>MA</td>\n",
              "      <td>Massachusetts Avenue</td>\n",
              "      <td>ice_cream</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>Frozen yogurt</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.1199089 42.3820185)</td>\n",
              "      <td>Berryline</td>\n",
              "      <td>Mo-Su 12:00-23:00</td>\n",
              "      <td>6114610858</td>\n",
              "      <td>NaN</td>\n",
              "      <td>+1 617 492 3555</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://www.berryline.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6124473598</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>Ben &amp; Jerry's</td>\n",
              "      <td>Q816412</td>\n",
              "      <td>en:Ben &amp; Jerry's</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ice_cream</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>node</td>\n",
              "      <td>NaN</td>\n",
              "      <td>POINT (-71.1193876 42.3725037)</td>\n",
              "      <td>Ben &amp; Jerry's</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6124473598</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>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             addr:city addr:housenumber  ... wheelchair  wikidata\n",
              "317333141          NaN              899  ...         no  Q7827577\n",
              "480692709          NaN              NaN  ...        NaN       NaN\n",
              "541316313          NaN              403  ...        NaN       NaN\n",
              "1831393836   Cambridge             1255  ...        NaN       NaN\n",
              "5037446745  Somerville              415  ...        NaN       NaN\n",
              "5695456136         NaN               36  ...        NaN       NaN\n",
              "5916924485   Cambridge              159  ...        NaN       NaN\n",
              "6101491948         NaN              NaN  ...        NaN       NaN\n",
              "6113522434  Somerville              626  ...        NaN       NaN\n",
              "6114610858   Cambridge             1668  ...        NaN       NaN\n",
              "6124473598         NaN              NaN  ...        NaN       NaN\n",
              "\n",
              "[11 rows x 28 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DSEkty3Lr0AX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "outputId": "5fbf5594-6005-4b2c-93a2-0854624c22bb"
      },
      "source": [
        "ice_cream_nodes = ox.get_nearest_nodes(place_roads, place_ice_cream.geometry.x, place_ice_cream.geometry.y)\n",
        "ice_cream_nodes"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([  61321277,   61324477, 5035889430,   61324518,   61323599,\n",
              "         61322419,   61327141,   61322186,   71949065, 2559968283,\n",
              "         61321986])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7vjZXdo4wwx0",
        "colab_type": "text"
      },
      "source": [
        "## Exercise\n",
        "Plot the locations of the ice cream shops on the map of the roads"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wUuhBee2w9Bd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qF1NSIerw-j4",
        "colab_type": "text"
      },
      "source": [
        "## Compute shortest path matrix"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q2c8QobPsq8e",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 399
        },
        "outputId": "86cd1497-74cc-4b3e-f8e2-9d1155adecd3"
      },
      "source": [
        "shortest_path_matrix = np.zeros([len(ice_cream_nodes),len(ice_cream_nodes)])\n",
        "for idx_i, orig in enumerate(ice_cream_nodes):\n",
        "  for idx_j, dest in enumerate(ice_cream_nodes):\n",
        "    shortest_path_matrix[idx_i, idx_j] = nx.shortest_path_length(place_roads, orig, dest, weight='length')\n",
        "shortest_path_matrix"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[   0.   , 1835.064,   38.79 , 1299.504, 2957.854, 4847.869,\n",
              "        2069.827, 3237.888, 3111.52 , 2966.392, 2102.05 ],\n",
              "       [1934.426,    0.   , 1895.636, 1950.246, 1406.969, 3012.805,\n",
              "        3899.601, 1402.824, 1430.635, 1131.328,  266.986],\n",
              "       [  38.79 , 1796.274,    0.   , 1260.714, 2919.064, 4809.079,\n",
              "        2108.617, 3199.098, 3072.73 , 2927.602, 2063.26 ],\n",
              "       [1299.504, 1833.441, 1260.714,    0.   , 2044.09 , 4278.839,\n",
              "        2239.096, 2668.858, 2197.756, 2397.362, 2047.607],\n",
              "       [2767.483, 1464.731, 2728.693, 1892.825,    0.   , 2694.179,\n",
              "        3987.245, 1087.763,  294.298,  816.267, 1530.058],\n",
              "       [5009.625, 3144.763, 4970.835, 4299.985, 2595.916,    0.   ,\n",
              "        6394.405, 1715.526, 2301.618, 1889.539, 3069.463],\n",
              "       [2044.176, 3673.676, 2082.966, 2260.046, 4159.46 , 6394.209,\n",
              "           0.   , 4784.228, 4313.126, 4512.732, 3940.662],\n",
              "       [3294.099, 1429.237, 3255.309, 2584.459, 1109.983, 1902.676,\n",
              "        4678.879,    0.   , 1011.024,  174.013, 1353.937],\n",
              "       [2921.149, 1460.577, 2882.359, 2046.491,  294.298, 2508.693,\n",
              "        4140.911,  902.277,    0.   ,  630.781, 1512.679],\n",
              "       [3120.086, 1255.224, 3081.296, 2410.446,  935.97 , 2111.193,\n",
              "        4504.866,  501.212,  837.011,    0.   , 1179.924],\n",
              "       [1940.162,  400.436, 1901.372, 2145.265, 1601.988, 3153.091,\n",
              "        3980.384, 1543.11 , 1625.654, 1271.614,    0.   ]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dx6x4175wv90",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "ice_cream_graph = nx.from_numpy_matrix(shortest_path_matrix, create_using=nx.MultiDiGraph)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QXZedXvnzGX3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6927e94d-aa98-453a-f714-1cfdf650f7a7"
      },
      "source": [
        "# new graph indexes from 0\n",
        "ice_cream_graph.nodes"
      ],
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NodeView((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rUufs51xteVN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "75cdee08-8b22-4f0f-a9da-ab1dfb64676a"
      },
      "source": [
        "# rename node labels using original labels\n",
        "ice_cream_graph = nx.relabel_nodes(ice_cream_graph,{k:v for k, v in zip(ice_cream_graph.nodes, ice_cream_nodes)})\n",
        "ice_cream_graph.nodes"
      ],
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NodeView((61321277, 61324477, 5035889430, 61324518, 61323599, 61322419, 61327141, 61322186, 71949065, 2559968283, 61321986))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IkkkXc4YzRX4",
        "colab_type": "text"
      },
      "source": [
        "## Exercise\n",
        "Find the best TSP path you can"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s5iJS8jbyBFu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}