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| author | Anson Bridges <bridges.anson@gmail.com> | 2025-08-11 22:36:23 -0700 |
|---|---|---|
| committer | Anson Bridges <bridges.anson@gmail.com> | 2025-08-11 22:36:23 -0700 |
| commit | b50ce25d4ad44e44cc8d765c6ee98a91ee5bc86b (patch) | |
| tree | 360d8ba451ed5addeb22b9a4b27a3d478e4b0244 /ZestySalesman.ipynb | |
| parent | ff9df68f3120ce7089dffb4ac00fe07854124a91 (diff) | |
Clean junk "scratchpad" files and outdated CSVs
Diffstat (limited to 'ZestySalesman.ipynb')
| -rw-r--r-- | ZestySalesman.ipynb | 5287 |
1 files changed, 0 insertions, 5287 deletions
diff --git a/ZestySalesman.ipynb b/ZestySalesman.ipynb deleted file mode 100644 index 8e4372c..0000000 --- a/ZestySalesman.ipynb +++ /dev/null @@ -1,5287 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "id": "initial_id", - "metadata": { - "collapsed": true, - "ExecuteTime": { - "end_time": "2024-07-02T22:37:51.219877Z", - "start_time": "2024-07-02T22:37:50.303317Z" - } - }, - "source": [ - "import pandas as pd\n", - "import folium\n", - "import utils" - ], - "outputs": [], - "execution_count": 1 - }, - { - "cell_type": "code", - "id": "73b780e762c9de37", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:37:51.229897Z", - "start_time": "2024-07-02T22:37:51.220757Z" - } - }, - "source": [ - "# Load the data\n", - "ListA = pd.read_csv('List A.csv')\n", - "ListB = pd.read_csv('List B.csv')\n", - "ListC = pd.read_csv('List C.csv')\n", - "ListD = pd.read_csv('List D.csv')" - ], - "outputs": [], - "execution_count": 2 - }, - { - "cell_type": "code", - "id": "be4c8c1d77842ef7", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:37:51.231873Z", - "start_time": "2024-07-02T22:37:51.230471Z" - } - }, - "source": [ - "# Create two centroids, one in the North End and one in the Seaport District\n", - "centroids = [[42.365, -71.054], [42.351, -71.045]]\n", - "\n", - "northeastern_coordinate = \"-71.09033,42.33976\"" - ], - "outputs": [], - "execution_count": 3 - }, - { - "cell_type": "code", - "id": "ffe4025e97a6c6b9", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:37:51.235758Z", - "start_time": "2024-07-02T22:37:51.232888Z" - } - }, - "source": [ - "# Combine the two lists and add a column to indicate the list\n", - "ListA['list'] = 'A'\n", - "ListB['list'] = 'B'\n", - "ListC['list'] = 'C'\n", - "ListD['list'] = 'D'\n", - "\n", - "#TotalList = pd.concat([ListA, ListB, ListC, ListD])\n", - "TotalList = pd.concat([ListA, ListB])" - ], - "outputs": [], - "execution_count": 4 - }, - { - "cell_type": "code", - "id": "72657779b4484aae", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:37:51.238164Z", - "start_time": "2024-07-02T22:37:51.236334Z" - } - }, - "source": [ - "# Remove all columns but name and gps\n", - "TotalList = TotalList[['name', 'gps', 'list']]" - ], - "outputs": [], - "execution_count": 5 - }, - { - "cell_type": "code", - "id": "a157ffaec020a29a", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:37:51.356176Z", - "start_time": "2024-07-02T22:37:51.353712Z" - } - }, - "source": [ - "# Convert the gps column to a list of lists for k-means\n", - "TotalList['gps'] = TotalList['gps'].apply(lambda x: x.strip('[]').split(','))\n", - "TotalList['gps'] = TotalList['gps'].apply(lambda x: [float(i) for i in x])" - ], - "outputs": [], - "execution_count": 6 - }, - { - "cell_type": "code", - "id": "a03ebde91b87fa3b", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:37:52.039978Z", - "start_time": "2024-07-02T22:37:52.032015Z" - } - }, - "source": [ - "display(TotalList)" - ], - "outputs": [ - { - "data": { - "text/plain": [ - " name gps list\n", - "0 521 Commercial Street #525 [42.3688272, -71.0553792] A\n", - "1 Acorn St [42.3576234, -71.0688746] A\n", - "2 Arlington's Great Meadows [42.4299758, -71.2038948] A\n", - "3 Arthur Fiedler Statue [42.3565057, -71.0754527] A\n", - "4 BU Beach [42.3511927, -71.1060828] A\n", - ".. ... ... ...\n", - "31 Union Square [42.37736, -71.09476] B\n", - "32 University Park Commons [42.3614115, -71.1014951] B\n", - "33 Veggie Crust - Somerville [42.3822934, -71.1024769] B\n", - "34 Veggie Galaxy [42.3636597, -71.1011111] B\n", - "35 Warren Tavern [42.3741694, -71.0631664] B\n", - "\n", - "[98 rows x 3 columns]" - ], - "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>name</th>\n", - " <th>gps</th>\n", - " <th>list</th>\n", - " </tr>\n", - " </thead>\n", - " <tbody>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>521 Commercial Street #525</td>\n", - " <td>[42.3688272, -71.0553792]</td>\n", - " <td>A</td>\n", - " </tr>\n", - " <tr>\n", - " <th>1</th>\n", - " <td>Acorn St</td>\n", - " <td>[42.3576234, -71.0688746]</td>\n", - " <td>A</td>\n", - " </tr>\n", - " <tr>\n", - " <th>2</th>\n", - " <td>Arlington's Great Meadows</td>\n", - " <td>[42.4299758, -71.2038948]</td>\n", - " <td>A</td>\n", - " </tr>\n", - " <tr>\n", - " <th>3</th>\n", - " <td>Arthur Fiedler Statue</td>\n", - " <td>[42.3565057, -71.0754527]</td>\n", - " <td>A</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4</th>\n", - " <td>BU Beach</td>\n", - " <td>[42.3511927, -71.1060828]</td>\n", - " <td>A</td>\n", - " </tr>\n", - " <tr>\n", - " <th>...</th>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " </tr>\n", - " <tr>\n", - " <th>31</th>\n", - " <td>Union Square</td>\n", - " <td>[42.37736, -71.09476]</td>\n", - " <td>B</td>\n", - " </tr>\n", - " <tr>\n", - " <th>32</th>\n", - " <td>University Park Commons</td>\n", - " <td>[42.3614115, -71.1014951]</td>\n", - " <td>B</td>\n", - " </tr>\n", - " <tr>\n", - " <th>33</th>\n", - " <td>Veggie Crust - Somerville</td>\n", - " <td>[42.3822934, -71.1024769]</td>\n", - " <td>B</td>\n", - " </tr>\n", - " <tr>\n", - " <th>34</th>\n", - " <td>Veggie Galaxy</td>\n", - " <td>[42.3636597, -71.1011111]</td>\n", - " <td>B</td>\n", - " </tr>\n", - " <tr>\n", - " <th>35</th>\n", - " <td>Warren Tavern</td>\n", - " <td>[42.3741694, -71.0631664]</td>\n", - " <td>B</td>\n", - " </tr>\n", - " </tbody>\n", - "</table>\n", - "<p>98 rows × 3 columns</p>\n", - "</div>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 7 - }, - { - "cell_type": "markdown", - "id": "4bd41be9aca5094b", - "metadata": {}, - "source": [ - "# 2 Routes" - ] - }, - { - "cell_type": "markdown", - "id": "90d1d2f1a931597f", - "metadata": {}, - "source": [ - "## Cluster and Minimize" - ] - }, - { - "cell_type": "code", - "id": "ee9b3c1ecb360976", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:38:01.527682Z", - "start_time": "2024-07-02T22:37:53.433734Z" - } - }, - "source": [ - "# Cluster and minimize the data\n", - "_, routes = utils.cluster_and_optimize(TotalList, centroids, northeastern_coordinate,\n", - " time_diff=0.25, max_time=24, host='http://router.project-osrm.org')\n", - "\n", - "route_1_coordinates = routes[0]\n", - "route_2_coordinates = routes[1]" - ], - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/garrinshieh/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", - " super()._check_params_vs_input(X, default_n_init=10)\n", - "/Users/garrinshieh/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1412: RuntimeWarning: Explicit initial center position passed: performing only one init in KMeans instead of n_init=10.\n", - " super()._check_params_vs_input(X, default_n_init=10)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'code': 'Ok', 'trips': [{'geometry': 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(most recent call last)", - "Cell \u001B[0;32mIn[8], line 2\u001B[0m\n\u001B[1;32m 1\u001B[0m \u001B[38;5;66;03m# Cluster and minimize the data\u001B[39;00m\n\u001B[0;32m----> 2\u001B[0m _, routes \u001B[38;5;241m=\u001B[39m utils\u001B[38;5;241m.\u001B[39mcluster_and_optimize(TotalList, centroids, northeastern_coordinate,\n\u001B[1;32m 3\u001B[0m time_diff\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0.25\u001B[39m, max_time\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m24\u001B[39m, host\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mhttp://router.project-osrm.org\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[1;32m 5\u001B[0m route_1_coordinates \u001B[38;5;241m=\u001B[39m routes[\u001B[38;5;241m0\u001B[39m]\n\u001B[1;32m 6\u001B[0m route_2_coordinates \u001B[38;5;241m=\u001B[39m routes[\u001B[38;5;241m1\u001B[39m]\n", - "File \u001B[0;32m~/DataspellProjects/hh/utils.py:35\u001B[0m, in \u001B[0;36mcluster_and_optimize\u001B[0;34m(df, centroids, end, time_diff, max_time, n, host)\u001B[0m\n\u001B[1;32m 32\u001B[0m routes\u001B[38;5;241m.\u001B[39mappend(df[df[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcluster\u001B[39m\u001B[38;5;124m\"\u001B[39m] \u001B[38;5;241m==\u001B[39m i][\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mgps\u001B[39m\u001B[38;5;124m\"\u001B[39m]\u001B[38;5;241m.\u001B[39mvalues\u001B[38;5;241m.\u001B[39mtolist())\n\u001B[1;32m 33\u001B[0m starts\u001B[38;5;241m.\u001B[39mappend(list_to_string([centroids[i]]))\n\u001B[0;32m---> 35\u001B[0m routes \u001B[38;5;241m=\u001B[39m __minimize_route_time_diff(routes, starts, end, time_diff, n, host\u001B[38;5;241m=\u001B[39mhost)\n\u001B[1;32m 37\u001B[0m \u001B[38;5;66;03m# Remove waypoints from the longest route until the trip time is less than the max time\u001B[39;00m\n\u001B[1;32m 38\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m i \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(\u001B[38;5;28mlen\u001B[39m(routes)):\n", - "File \u001B[0;32m~/DataspellProjects/hh/utils.py:135\u001B[0m, in \u001B[0;36m__minimize_route_time_diff\u001B[0;34m(routes, starts, end, time_diff, n, host)\u001B[0m\n\u001B[1;32m 132\u001B[0m times \u001B[38;5;241m=\u001B[39m []\n\u001B[1;32m 134\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m i, route \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28menumerate\u001B[39m(routes):\n\u001B[0;32m--> 135\u001B[0m times\u001B[38;5;241m.\u001B[39mappend(get_trip_time(list_to_string(route), \u001B[38;5;28mlen\u001B[39m(route), starts[i], end, host\u001B[38;5;241m=\u001B[39mhost))\n\u001B[1;32m 137\u001B[0m \u001B[38;5;66;03m# Find the average trip time\u001B[39;00m\n\u001B[1;32m 138\u001B[0m average_time \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39mmean(times)\n", - "File \u001B[0;32m~/DataspellProjects/hh/utils.py:103\u001B[0m, in \u001B[0;36mget_trip_time\u001B[0;34m(coordinate_string, num_waypoints, start, end, time_per_waypoint, host)\u001B[0m\n\u001B[1;32m 92\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mget_trip_time\u001B[39m(coordinate_string, num_waypoints, start, end, time_per_waypoint\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m90\u001B[39m, host\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhttp://acetyl.net:5000\u001B[39m\u001B[38;5;124m\"\u001B[39m):\n\u001B[1;32m 93\u001B[0m \u001B[38;5;250m \u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m 94\u001B[0m \u001B[38;5;124;03m Takes a string of coordinates and returns the trip time in hours\u001B[39;00m\n\u001B[1;32m 95\u001B[0m \u001B[38;5;124;03m :param coordinate_string: a string of coordinates\u001B[39;00m\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 101\u001B[0m \u001B[38;5;124;03m :return: the trip time in hours\u001B[39;00m\n\u001B[1;32m 102\u001B[0m \u001B[38;5;124;03m \"\"\"\u001B[39;00m\n\u001B[0;32m--> 103\u001B[0m coordinates \u001B[38;5;241m=\u001B[39m requests\u001B[38;5;241m.\u001B[39mget(\n\u001B[1;32m 104\u001B[0m host\n\u001B[1;32m 105\u001B[0m \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m/trip/v1/bike/\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 106\u001B[0m \u001B[38;5;241m+\u001B[39m start\n\u001B[1;32m 107\u001B[0m \u001B[38;5;241m+\u001B[39m coordinate_string\n\u001B[1;32m 108\u001B[0m \u001B[38;5;241m+\u001B[39m end\n\u001B[1;32m 109\u001B[0m \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m?roundtrip=false&source=first&destination=last\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 110\u001B[0m )\n\u001B[1;32m 111\u001B[0m coordinates \u001B[38;5;241m=\u001B[39m coordinates\u001B[38;5;241m.\u001B[39mjson()\n\u001B[1;32m 112\u001B[0m \u001B[38;5;28mprint\u001B[39m(coordinates)\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/requests/api.py:73\u001B[0m, in \u001B[0;36mget\u001B[0;34m(url, params, **kwargs)\u001B[0m\n\u001B[1;32m 62\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mget\u001B[39m(url, params\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[1;32m 63\u001B[0m \u001B[38;5;250m \u001B[39m\u001B[38;5;124mr\u001B[39m\u001B[38;5;124;03m\"\"\"Sends a GET request.\u001B[39;00m\n\u001B[1;32m 64\u001B[0m \n\u001B[1;32m 65\u001B[0m \u001B[38;5;124;03m :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 70\u001B[0m \u001B[38;5;124;03m :rtype: requests.Response\u001B[39;00m\n\u001B[1;32m 71\u001B[0m \u001B[38;5;124;03m \"\"\"\u001B[39;00m\n\u001B[0;32m---> 73\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m request(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mget\u001B[39m\u001B[38;5;124m\"\u001B[39m, url, params\u001B[38;5;241m=\u001B[39mparams, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/requests/api.py:59\u001B[0m, in \u001B[0;36mrequest\u001B[0;34m(method, url, **kwargs)\u001B[0m\n\u001B[1;32m 55\u001B[0m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[1;32m 56\u001B[0m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[1;32m 57\u001B[0m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[1;32m 58\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m sessions\u001B[38;5;241m.\u001B[39mSession() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[0;32m---> 59\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m session\u001B[38;5;241m.\u001B[39mrequest(method\u001B[38;5;241m=\u001B[39mmethod, url\u001B[38;5;241m=\u001B[39murl, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/requests/sessions.py:589\u001B[0m, in \u001B[0;36mSession.request\u001B[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[0m\n\u001B[1;32m 584\u001B[0m send_kwargs \u001B[38;5;241m=\u001B[39m {\n\u001B[1;32m 585\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtimeout\u001B[39m\u001B[38;5;124m\"\u001B[39m: timeout,\n\u001B[1;32m 586\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mallow_redirects\u001B[39m\u001B[38;5;124m\"\u001B[39m: allow_redirects,\n\u001B[1;32m 587\u001B[0m }\n\u001B[1;32m 588\u001B[0m send_kwargs\u001B[38;5;241m.\u001B[39mupdate(settings)\n\u001B[0;32m--> 589\u001B[0m resp \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msend(prep, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39msend_kwargs)\n\u001B[1;32m 591\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/requests/sessions.py:703\u001B[0m, in \u001B[0;36mSession.send\u001B[0;34m(self, request, **kwargs)\u001B[0m\n\u001B[1;32m 700\u001B[0m start \u001B[38;5;241m=\u001B[39m preferred_clock()\n\u001B[1;32m 702\u001B[0m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[0;32m--> 703\u001B[0m r \u001B[38;5;241m=\u001B[39m adapter\u001B[38;5;241m.\u001B[39msend(request, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[1;32m 705\u001B[0m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[1;32m 706\u001B[0m elapsed \u001B[38;5;241m=\u001B[39m preferred_clock() \u001B[38;5;241m-\u001B[39m start\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/requests/adapters.py:486\u001B[0m, in \u001B[0;36mHTTPAdapter.send\u001B[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001B[0m\n\u001B[1;32m 483\u001B[0m timeout \u001B[38;5;241m=\u001B[39m TimeoutSauce(connect\u001B[38;5;241m=\u001B[39mtimeout, read\u001B[38;5;241m=\u001B[39mtimeout)\n\u001B[1;32m 485\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m--> 486\u001B[0m resp \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39murlopen(\n\u001B[1;32m 487\u001B[0m method\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mmethod,\n\u001B[1;32m 488\u001B[0m url\u001B[38;5;241m=\u001B[39murl,\n\u001B[1;32m 489\u001B[0m body\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mbody,\n\u001B[1;32m 490\u001B[0m headers\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mheaders,\n\u001B[1;32m 491\u001B[0m redirect\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[1;32m 492\u001B[0m assert_same_host\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[1;32m 493\u001B[0m preload_content\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[1;32m 494\u001B[0m decode_content\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[1;32m 495\u001B[0m retries\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmax_retries,\n\u001B[1;32m 496\u001B[0m timeout\u001B[38;5;241m=\u001B[39mtimeout,\n\u001B[1;32m 497\u001B[0m chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[1;32m 498\u001B[0m )\n\u001B[1;32m 500\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m (ProtocolError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[1;32m 501\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(err, request\u001B[38;5;241m=\u001B[39mrequest)\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/urllib3/connectionpool.py:715\u001B[0m, in \u001B[0;36mHTTPConnectionPool.urlopen\u001B[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001B[0m\n\u001B[1;32m 712\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_prepare_proxy(conn)\n\u001B[1;32m 714\u001B[0m \u001B[38;5;66;03m# Make the request on the httplib connection object.\u001B[39;00m\n\u001B[0;32m--> 715\u001B[0m httplib_response \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_make_request(\n\u001B[1;32m 716\u001B[0m conn,\n\u001B[1;32m 717\u001B[0m method,\n\u001B[1;32m 718\u001B[0m url,\n\u001B[1;32m 719\u001B[0m timeout\u001B[38;5;241m=\u001B[39mtimeout_obj,\n\u001B[1;32m 720\u001B[0m body\u001B[38;5;241m=\u001B[39mbody,\n\u001B[1;32m 721\u001B[0m headers\u001B[38;5;241m=\u001B[39mheaders,\n\u001B[1;32m 722\u001B[0m chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[1;32m 723\u001B[0m )\n\u001B[1;32m 725\u001B[0m \u001B[38;5;66;03m# If we're going to release the connection in ``finally:``, then\u001B[39;00m\n\u001B[1;32m 726\u001B[0m \u001B[38;5;66;03m# the response doesn't need to know about the connection. Otherwise\u001B[39;00m\n\u001B[1;32m 727\u001B[0m \u001B[38;5;66;03m# it will also try to release it and we'll have a double-release\u001B[39;00m\n\u001B[1;32m 728\u001B[0m \u001B[38;5;66;03m# mess.\u001B[39;00m\n\u001B[1;32m 729\u001B[0m response_conn \u001B[38;5;241m=\u001B[39m conn \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m release_conn \u001B[38;5;28;01melse\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/urllib3/connectionpool.py:467\u001B[0m, in \u001B[0;36mHTTPConnectionPool._make_request\u001B[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001B[0m\n\u001B[1;32m 462\u001B[0m httplib_response \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39mgetresponse()\n\u001B[1;32m 463\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mBaseException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[1;32m 464\u001B[0m \u001B[38;5;66;03m# Remove the TypeError from the exception chain in\u001B[39;00m\n\u001B[1;32m 465\u001B[0m \u001B[38;5;66;03m# Python 3 (including for exceptions like SystemExit).\u001B[39;00m\n\u001B[1;32m 466\u001B[0m \u001B[38;5;66;03m# Otherwise it looks like a bug in the code.\u001B[39;00m\n\u001B[0;32m--> 467\u001B[0m six\u001B[38;5;241m.\u001B[39mraise_from(e, \u001B[38;5;28;01mNone\u001B[39;00m)\n\u001B[1;32m 468\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m (SocketTimeout, BaseSSLError, SocketError) \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[1;32m 469\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_raise_timeout(err\u001B[38;5;241m=\u001B[39me, url\u001B[38;5;241m=\u001B[39murl, timeout_value\u001B[38;5;241m=\u001B[39mread_timeout)\n", - "File \u001B[0;32m<string>:3\u001B[0m, in \u001B[0;36mraise_from\u001B[0;34m(value, from_value)\u001B[0m\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/site-packages/urllib3/connectionpool.py:462\u001B[0m, in \u001B[0;36mHTTPConnectionPool._make_request\u001B[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001B[0m\n\u001B[1;32m 459\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mTypeError\u001B[39;00m:\n\u001B[1;32m 460\u001B[0m \u001B[38;5;66;03m# Python 3\u001B[39;00m\n\u001B[1;32m 461\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m--> 462\u001B[0m httplib_response \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39mgetresponse()\n\u001B[1;32m 463\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mBaseException\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[1;32m 464\u001B[0m \u001B[38;5;66;03m# Remove the TypeError from the exception chain in\u001B[39;00m\n\u001B[1;32m 465\u001B[0m \u001B[38;5;66;03m# Python 3 (including for exceptions like SystemExit).\u001B[39;00m\n\u001B[1;32m 466\u001B[0m \u001B[38;5;66;03m# Otherwise it looks like a bug in the code.\u001B[39;00m\n\u001B[1;32m 467\u001B[0m six\u001B[38;5;241m.\u001B[39mraise_from(e, \u001B[38;5;28;01mNone\u001B[39;00m)\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/http/client.py:1378\u001B[0m, in \u001B[0;36mHTTPConnection.getresponse\u001B[0;34m(self)\u001B[0m\n\u001B[1;32m 1376\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m 1377\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m-> 1378\u001B[0m response\u001B[38;5;241m.\u001B[39mbegin()\n\u001B[1;32m 1379\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m:\n\u001B[1;32m 1380\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mclose()\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/http/client.py:318\u001B[0m, in \u001B[0;36mHTTPResponse.begin\u001B[0;34m(self)\u001B[0m\n\u001B[1;32m 316\u001B[0m \u001B[38;5;66;03m# read until we get a non-100 response\u001B[39;00m\n\u001B[1;32m 317\u001B[0m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[0;32m--> 318\u001B[0m version, status, reason \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_read_status()\n\u001B[1;32m 319\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m status \u001B[38;5;241m!=\u001B[39m CONTINUE:\n\u001B[1;32m 320\u001B[0m \u001B[38;5;28;01mbreak\u001B[39;00m\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/http/client.py:279\u001B[0m, in \u001B[0;36mHTTPResponse._read_status\u001B[0;34m(self)\u001B[0m\n\u001B[1;32m 278\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_read_status\u001B[39m(\u001B[38;5;28mself\u001B[39m):\n\u001B[0;32m--> 279\u001B[0m line \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mstr\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfp\u001B[38;5;241m.\u001B[39mreadline(_MAXLINE \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m), \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124miso-8859-1\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 280\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(line) \u001B[38;5;241m>\u001B[39m _MAXLINE:\n\u001B[1;32m 281\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m LineTooLong(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mstatus line\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n", - "File \u001B[0;32m~/anaconda3/lib/python3.11/socket.py:706\u001B[0m, in \u001B[0;36mSocketIO.readinto\u001B[0;34m(self, b)\u001B[0m\n\u001B[1;32m 704\u001B[0m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[1;32m 705\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m--> 706\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_sock\u001B[38;5;241m.\u001B[39mrecv_into(b)\n\u001B[1;32m 707\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m timeout:\n\u001B[1;32m 708\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_timeout_occurred \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n", - "\u001B[0;31mKeyboardInterrupt\u001B[0m: " - ] - } - ], - "execution_count": 8 - }, - { - "cell_type": "markdown", - "id": "c85b8ef869e35006", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T17:33:02.697755Z", - "start_time": "2023-11-07T17:33:02.687460Z" - } - }, - "source": [ - "## Create JSON" - ] - }, - { - "cell_type": "code", - "id": "aa618161182b5b07", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-02T22:05:44.716570Z", - "start_time": "2024-07-02T22:05:44.707277Z" - } - }, - "source": [ - "# Create a JSON request for the API\n", - "# This is the data we want to get from the API\n", - "route_1 = utils.list_to_string(route_1_coordinates)\n", - "route_2 = utils.list_to_string(route_2_coordinates)" - ], - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'route_1_coordinates' is not defined", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mNameError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[0;32mIn[9], line 3\u001B[0m\n\u001B[1;32m 1\u001B[0m \u001B[38;5;66;03m# Create a JSON request for the API\u001B[39;00m\n\u001B[1;32m 2\u001B[0m \u001B[38;5;66;03m# This is the data we want to get from the API\u001B[39;00m\n\u001B[0;32m----> 3\u001B[0m route_1 \u001B[38;5;241m=\u001B[39m utils\u001B[38;5;241m.\u001B[39mlist_to_string(route_1_coordinates)\n\u001B[1;32m 4\u001B[0m route_2 \u001B[38;5;241m=\u001B[39m utils\u001B[38;5;241m.\u001B[39mlist_to_string(route_2_coordinates)\n", - "\u001B[0;31mNameError\u001B[0m: name 'route_1_coordinates' is not defined" - ] - } - ], - "execution_count": 9 - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "32c485788eedd94", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:06:07.185941Z", - "start_time": "2023-11-07T23:06:04.976840Z" - } - }, - "outputs": [], - "source": [ - "# Create a dataframe from the JSON\n", - "df1 = utils.create_json_df(route_1, utils.list_to_string([centroids[0]]), northeastern_coordinate, host='https://router.project-osrm.org')\n", - "df2 = utils.create_json_df(route_2, utils.list_to_string([centroids[1]]), northeastern_coordinate, host='https://router.project-osrm.org')" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "49dba1f17ca8337e", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:06:07.206851Z", - "start_time": "2023-11-07T23:06:07.193514Z" - } - }, - "outputs": [], - "source": [ - "# Add columns for the route number\n", - "df1['route'] = 1\n", - "df2['route'] = 2\n", - "\n", - "# Concatenate the two dataframes\n", - "df = pd.concat([df1, df2], ignore_index=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "f231d9a35358988c", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:06:07.219423Z", - "start_time": "2023-11-07T23:06:07.214064Z" - } - }, - "outputs": [ - { - "data": { - "text/html": [ - "<div>\n", - "<style scoped>\n", - " .dataframe tbody tr th:only-of-type {\n", - " vertical-align: middle;\n", - " }\n", - "\n", - " .dataframe tbody tr th {\n", - 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" <td>42.358851</td>\n", - " <td>1</td>\n", - " </tr>\n", - " <tr>\n", - " <th>...</th>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " </tr>\n", - " <tr>\n", - " <th>168</th>\n", - " <td>61</td>\n", - " <td>0</td>\n", - " <td>7hAigPYQIoA2AgAAYwEAAAAAAAAAAAAAnsd7Qq9XHUIAAA...</td>\n", - " <td>7.478611</td>\n", - " <td></td>\n", - " <td>[-71.096959, 42.344689]</td>\n", - " <td>-71.096959</td>\n", - " <td>42.344689</td>\n", - " <td>2</td>\n", - " </tr>\n", - " <tr>\n", - " <th>169</th>\n", - " <td>62</td>\n", - " <td>0</td>\n", - " <td>bwwigH0MIoAFAAAAEAAAAFUAAAArAAAAag0xP3921D-BFx...</td>\n", - " <td>8.340476</td>\n", - " <td></td>\n", - " <td>[-71.095003, 42.342001]</td>\n", - " <td>-71.095003</td>\n", - " <td>42.342001</td>\n", - " <td>2</td>\n", - " </tr>\n", - " <tr>\n", - " <th>170</th>\n", - " <td>63</td>\n", - " <td>0</td>\n", - " <td>MQwigFwMIoAoAAAANQAAABwAAAB-AAAAoidqQSAYl0GvUh...</td>\n", - 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], - "text/plain": [ - "<folium.folium.Map at 0x14fd8be10>" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a map\n", - "m = folium.Map(location=[df['lon'].mean(), df['lat'].mean()], zoom_start=11)\n", - "\n", - "# Add the points and lines for the two routes with different colors\n", - "colors = ['red', 'blue']\n", - "\n", - "for route in df['route'].unique():\n", - " df_route = df[df['route'] == route]\n", - " folium.PolyLine(df_route[['lon', 'lat']].values.tolist(), color=colors[route - 1]).add_to(m)\n", - " for i in range(len(df_route)):\n", - " folium.CircleMarker(df_route[['lon', 'lat']].iloc[i].values.tolist(), radius=3, color=colors[route - 1]).add_to(\n", - " m)\n", - "\n", - "# Display the map\n", - "m" - ] - }, - { - "cell_type": "markdown", - "id": "a7b562f75f7e0813", - "metadata": {}, - "source": [ - "## Results" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "f53c97acec1c2fc4", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:06:07.318988Z", - "start_time": "2023-11-07T23:06:07.297230Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Route 1 has 105 waypoints\n", - "Route 2 has 64 waypoints\n" - ] - } - ], - "source": [ - "# Get the number of waypoints for each route\n", - "route_1_waypoints = len(route_1_coordinates)\n", - "route_2_waypoints = len(route_2_coordinates)\n", - "print(\"Route 1 has {} waypoints\".format(route_1_waypoints))\n", - "print(\"Route 2 has {} waypoints\".format(route_2_waypoints))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "a3ec09dfb5cbb5b3", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:06:09.735945Z", - "start_time": "2023-11-07T23:06:07.299647Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The trip will take 13.1925 hours\n", - "The trip will take 13.017777777777777 hours\n" - ] - } - ], - "source": [ - "trip_hrs_1 = utils.get_trip_time(route_1, route_1_waypoints, utils.list_to_string([centroids[0]]),\n", - " northeastern_coordinate)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_1))\n", - "trip_hrs_2 = utils.get_trip_time(route_2, route_2_waypoints, utils.list_to_string([centroids[1]]),\n", - " northeastern_coordinate)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_2))" - ] - }, - { - "cell_type": "markdown", - "id": "de7b5856172d213c", - "metadata": {}, - "source": [ - "# 3 Routes" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "bb6e00857e8175c0", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:07:36.195528Z", - "start_time": "2023-11-07T23:06:09.732162Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/garrinshieh/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", - " super()._check_params_vs_input(X, default_n_init=10)\n", - "/Users/garrinshieh/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1412: RuntimeWarning: Explicit initial center position passed: performing only one init in KMeans instead of n_init=10.\n", - " super()._check_params_vs_input(X, default_n_init=10)\n" - ] - } - ], - "source": [ - "# Cluster and minimize the data\n", - "# Add a third centroid in the Financial District\n", - "centroids.append([42.356, -71.055])\n", - "_, routes = utils.cluster_and_optimize(TotalList, centroids, northeastern_coordinate, time_diff=0.3, max_time=24)\n", - "\n", - "route_1_coordinates = routes[0]\n", - "route_2_coordinates = routes[1]\n", - "route_3_coordinates = routes[2]" - ] - }, - { - "cell_type": "markdown", - "id": "19afb4f687b37383", - "metadata": {}, - "source": [ - "## Create JSON" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e886e061f86a2118", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:07:36.198703Z", - "start_time": "2023-11-07T23:07:36.194798Z" - } - }, - "outputs": [], - "source": [ - "# Create a JSON request for the API\n", - "# This is the data we want to get from the API\n", - "route_1 = utils.list_to_string(route_1_coordinates)\n", - "route_2 = utils.list_to_string(route_2_coordinates)\n", - "route_3 = utils.list_to_string(route_3_coordinates)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "23e4682fe9e30631", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:07:38.315154Z", - "start_time": "2023-11-07T23:07:36.199174Z" - } - }, - "outputs": [], - "source": [ - "# Create a dataframe from the JSON\n", - "df1 = utils.create_json_df(route_1, utils.list_to_string([centroids[0]]), northeastern_coordinate)\n", - "df2 = utils.create_json_df(route_2, utils.list_to_string([centroids[1]]), northeastern_coordinate)\n", - "df3 = utils.create_json_df(route_3, utils.list_to_string([centroids[2]]), northeastern_coordinate)" - 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], - "text/plain": [ - "<folium.folium.Map at 0x14fd934d0>" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a map\n", - "m = folium.Map(location=[df['lon'].mean(), df['lat'].mean()], zoom_start=11)\n", - "\n", - "# Add the points and lines for the three routes with different colors\n", - "colors = ['red', 'blue', 'green']\n", - "\n", - "for route in df['route'].unique():\n", - " df_route = df[df['route'] == route]\n", - " folium.PolyLine(df_route[['lon', 'lat']].values.tolist(), color=colors[route - 1]).add_to(m)\n", - " for i in range(len(df_route)):\n", - " folium.CircleMarker(df_route[['lon', 'lat']].iloc[i].values.tolist(), radius=3, color=colors[route - 1]).add_to(\n", - " m)\n", - "\n", - "# Display the map\n", - "m" - ] - }, - { - "cell_type": "markdown", - "id": "a947e49e27c734e9", - "metadata": {}, - "source": [ - "## Results" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "4106acf2adad01d7", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:07:38.445284Z", - "start_time": "2023-11-07T23:07:38.401884Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Route 1 has 61 waypoints\n", - "Route 2 has 56 waypoints\n", - "Route 3 has 52 waypoints\n" - ] - } - ], - "source": [ - "# Get the number of waypoints for each route\n", - "route_1_waypoints = len(route_1_coordinates)\n", - "route_2_waypoints = len(route_2_coordinates)\n", - "route_3_waypoints = len(route_3_coordinates)\n", - "print(\"Route 1 has {} waypoints\".format(route_1_waypoints))\n", - "print(\"Route 2 has {} waypoints\".format(route_2_waypoints))\n", - "print(\"Route 3 has {} waypoints\".format(route_3_waypoints))" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "c58106faf0fc7f4e", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:07:40.521741Z", - "start_time": "2023-11-07T23:07:38.405889Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The trip will take 9.394444444444444 hours\n", - "The trip will take 8.852777777777778 hours\n", - "The trip will take 9.325555555555555 hours\n" - ] - } - ], - "source": [ - "# Get the trip time for each route\n", - "trip_hrs_1 = utils.get_trip_time(route_1, route_1_waypoints, utils.list_to_string([centroids[0]]),\n", - " northeastern_coordinate)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_1))\n", - "trip_hrs_2 = utils.get_trip_time(route_2, route_2_waypoints, utils.list_to_string([centroids[1]]),\n", - " northeastern_coordinate)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_2))\n", - "trip_hrs_3 = utils.get_trip_time(route_3, route_3_waypoints, utils.list_to_string([centroids[2]]),\n", - " northeastern_coordinate)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_3))" - ] - }, - { - "cell_type": "markdown", - "id": "4068a0b6460f19ab", - "metadata": {}, - "source": [ - "# 10 ROUTES (because I can)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "5995d6556f940e67", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:09:18.376367Z", - "start_time": "2023-11-07T23:07:40.529888Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/garrinshieh/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", - " super()._check_params_vs_input(X, default_n_init=10)\n", - "/Users/garrinshieh/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1412: RuntimeWarning: Explicit initial center position passed: performing only one init in KMeans instead of n_init=10.\n", - " super()._check_params_vs_input(X, default_n_init=10)\n" - ] - } - ], - "source": [ - "# Cluster and minimize the data\n", - "# Add seven more centroids around Boston with different latitudes and longitudes\n", - "for i in range(7):\n", - " centroids.append([42.365 + i * 0.01, -71.054 + i * 0.01])\n", - "\n", - "_, routes = utils.cluster_and_optimize(TotalList, centroids, northeastern_coordinate, time_diff=0.5, max_time=24)" - ] - }, - { - "cell_type": "markdown", - "id": "8c6f5aeb5e6c2832", - "metadata": {}, - "source": [ - "## Create JSON" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "375b090921cab03e", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:09:18.395941Z", - "start_time": "2023-11-07T23:09:18.378652Z" - } - }, - "outputs": [], - "source": [ - "# Create a JSON request for the API\n", - "# This is the data we want to get from the API\n", - "route_strings = []\n", - "for route in routes:\n", - " route_strings.append(utils.list_to_string(route))" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "74f619c6df3bd6c4", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:09:21.149586Z", - "start_time": "2023-11-07T23:09:18.384347Z" - } - }, - "outputs": [], - "source": [ - "# Create a dataframe from the JSON\n", - "dfs = []\n", - "for i in range(len(routes)):\n", - " dfs.append(utils.create_json_df(route_strings[i], utils.list_to_string([centroids[i]]), northeastern_coordinate))\n", - " \n", - "# Concatenate the dataframes\n", - "df = pd.concat(dfs, ignore_index=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "488924ebe78c61aa", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:10:17.312994Z", - "start_time": "2023-11-07T23:10:17.307208Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/8b/9mzlkxlx3zx9nmpy8prjpmm80000gn/T/ipykernel_42497/2886398449.py:3: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df['route'].iloc[i * len(routes[i]):(i + 1) * len(routes[i])] = i + 1\n" - ] - } - ], - "source": [ - "# Add columns for the route number\n", - "for i in range(len(routes)):\n", - " df['route'].iloc[i * len(routes[i]):(i + 1) * len(routes[i])] = i + 1" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "8e436ba5d3949420", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:10:19.393773Z", - "start_time": "2023-11-07T23:10:19.390813Z" - 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], - "text/plain": [ - "<folium.folium.Map at 0x16c5df950>" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a map\n", - "m = folium.Map(location=[df['lon'].mean(), df['lat'].mean()], zoom_start=11)\n", - "\n", - "# Add the points and lines for the three routes with different colors\n", - "colors = ['red', 'blue', 'green', 'orange', 'purple', 'pink', 'black', 'gray', 'brown', 'yellow']\n", - "\n", - "for route in df['route'].unique():\n", - " df_route = df[df['route'] == route]\n", - " folium.PolyLine(df_route[['lon', 'lat']].values.tolist(), color=colors[route - 1]).add_to(m)\n", - " for i in range(len(df_route)):\n", - " folium.CircleMarker(df_route[['lon', 'lat']].iloc[i].values.tolist(), radius=3, color=colors[route - 1]).add_to(\n", - " m)\n", - " \n", - "# Display the map\n", - "m" - ] - }, - { - "cell_type": "markdown", - "id": "4723f2f26efe49d3", - "metadata": {}, - "source": [ - "## Results" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "5887f93dd890bc77", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:12:32.990935Z", - "start_time": "2023-11-07T23:12:32.987254Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Route 1 has 20 waypoints\n", - "Route 2 has 10 waypoints\n", - "Route 3 has 28 waypoints\n", - "Route 4 has 1 waypoints\n", - "Route 5 has 15 waypoints\n", - "Route 6 has 37 waypoints\n", - "Route 7 has 18 waypoints\n", - "Route 8 has 16 waypoints\n", - "Route 9 has 10 waypoints\n", - "Route 10 has 14 waypoints\n" - ] - } - ], - "source": [ - "# Get the number of waypoints for each route\n", - "route_waypoints = []\n", - "for route in routes:\n", - " route_waypoints.append(len(route))\n", - "for i in range(len(route_waypoints)):\n", - " print(\"Route {} has {} waypoints\".format(i + 1, route_waypoints[i]))" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "3a4b529fc3f2b336", - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-07T23:11:11.477373Z", - "start_time": "2023-11-07T23:11:08.172393Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The trip will take 3.1816666666666666 hours\n", - "The trip will take 3.8113888888888887 hours\n", - "The trip will take 3.9852777777777777 hours\n", - "The trip will take 3.8975 hours\n", - "The trip will take 4.088611111111111 hours\n", - "The trip will take 4.039444444444444 hours\n", - "The trip will take 3.17 hours\n", - "The trip will take 3.209722222222222 hours\n", - "The trip will take 4.1275 hours\n", - "The trip will take 3.2069444444444444 hours\n" - ] - } - ], - "source": [ - "# Get the trip time for each route\n", - "trip_hrs = []\n", - "for i in range(len(routes)):\n", - " trip_hrs.append(utils.get_trip_time(route_strings[i], route_waypoints[i], utils.list_to_string([centroids[i]]),\n", - " northeastern_coordinate))\n", - "for i in range(len(trip_hrs)):\n", - " print(\"The trip will take {} hours\".format(trip_hrs[i]))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a4cf5509f890423a", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} |