From 921a49433ccb34f2481f5f88de59f596976193cb Mon Sep 17 00:00:00 2001 From: itsGarrin Date: Mon, 6 Nov 2023 19:08:49 -0500 Subject: Refer to ZestySalesman.ipynb for the latest route --- ZestySalesman.ipynb | 296 ++++++++++++++++++++++++++++++++++++++-------------- 1 file changed, 218 insertions(+), 78 deletions(-) (limited to 'ZestySalesman.ipynb') diff --git a/ZestySalesman.ipynb b/ZestySalesman.ipynb index 7e74f46..f39f5bc 100644 --- a/ZestySalesman.ipynb +++ b/ZestySalesman.ipynb @@ -2,65 +2,224 @@ "cells": [ { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2023-11-06T01:23:16.767323Z", - "start_time": "2023-11-06T01:23:16.761053Z" + "end_time": "2023-11-07T00:07:54.400654Z", + "start_time": "2023-11-07T00:07:54.375821Z" } }, "outputs": [], "source": [ "import pandas as pd\n", - "import numpy as np\n", - "import requests\n", "import folium\n", "import utils" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 17, + "outputs": [], + "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')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:07:54.430515Z", + "start_time": "2023-11-07T00:07:54.381537Z" + } + }, + "id": "73b780e762c9de37" + }, + { + "cell_type": "code", + "execution_count": 18, + "outputs": [], + "source": [ + "# Create two centroids, one in the North End and one in the Financial District\n", + "centroids = [[42.364506, -71.054733], [42.358894, -71.056742]]\n", + "\n", + "northeastern_coordinate = \"-71.09033,42.33976\"" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:07:54.431407Z", + "start_time": "2023-11-07T00:07:54.392677Z" + } + }, + "id": "65e208650eb43b4" + }, + { + "cell_type": "code", + "execution_count": 19, + "outputs": [], + "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])" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:07:54.431829Z", + "start_time": "2023-11-07T00:07:54.397279Z" + } + }, + "id": "ffe4025e97a6c6b9" + }, + { + "cell_type": "code", + "execution_count": 20, + "outputs": [], + "source": [ + "# Remove all columns but name and gps\n", + "TotalList = TotalList[['name', 'gps', 'list']]" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:07:54.432180Z", + "start_time": "2023-11-07T00:07:54.401907Z" + } + }, + "id": "72657779b4484aae" + }, + { + "cell_type": "code", + "execution_count": 21, + "outputs": [], + "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])" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:07:54.432238Z", + "start_time": "2023-11-07T00:07:54.405216Z" + } + }, + "id": "a157ffaec020a29a" + }, + { + "cell_type": "code", + "execution_count": 22, + "outputs": [ + { + "data": { + "text/plain": " name gps list \\\n0 521 Commercial Street #525 [42.3688272, -71.0553792] A \n1 Acorn St [42.3576234, -71.0688746] A \n2 Arlington's Great Meadows [42.4299758, -71.2038948] A \n3 Arthur Fiedler Statue [42.3565057, -71.0754527] A \n4 BU Beach [42.3511927, -71.1060828] A \n.. ... ... ... \n28 The Clam Box [42.2763168, -71.0092883] C \n29 The Partisans [42.3478375, -71.0404428] C \n30 Union Oyster House [42.361288, -71.056908] C \n31 Victoria's Diner [42.3270498, -71.0667744] C \n32 Wollaston Beach [42.2806539, -71.0119933] C \n\n normalized_gps \n0 [0.7251058917247415, 0.8141430878559053] \n1 [0.6747391031099019, 0.778052752104061] \n2 [1.0, 0.41697235794883575] \n3 [0.6697144722136962, 0.7604611403245493] \n4 [0.6458298305822171, 0.6785480000609988] \n.. ... \n28 [0.30922451563130937, 0.9374025730216268] \n29 [0.6307464973238023, 0.8540870458656248] \n30 [0.6912133469876947, 0.8100546647415456] \n31 [0.5372951958288665, 0.7836692527743693] \n32 [0.32872198960456106, 0.9301686741961767] \n\n[131 rows x 4 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
namegpslistnormalized_gps
0521 Commercial Street #525[42.3688272, -71.0553792]A[0.7251058917247415, 0.8141430878559053]
1Acorn St[42.3576234, -71.0688746]A[0.6747391031099019, 0.778052752104061]
2Arlington's Great Meadows[42.4299758, -71.2038948]A[1.0, 0.41697235794883575]
3Arthur Fiedler Statue[42.3565057, -71.0754527]A[0.6697144722136962, 0.7604611403245493]
4BU Beach[42.3511927, -71.1060828]A[0.6458298305822171, 0.6785480000609988]
...............
28The Clam Box[42.2763168, -71.0092883]C[0.30922451563130937, 0.9374025730216268]
29The Partisans[42.3478375, -71.0404428]C[0.6307464973238023, 0.8540870458656248]
30Union Oyster House[42.361288, -71.056908]C[0.6912133469876947, 0.8100546647415456]
31Victoria's Diner[42.3270498, -71.0667744]C[0.5372951958288665, 0.7836692527743693]
32Wollaston Beach[42.2806539, -71.0119933]C[0.32872198960456106, 0.9301686741961767]
\n

131 rows × 4 columns

\n
" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create a new column with normalized gps coordinates and centroids\n", + "TotalList['normalized_gps'], norm_centroids = utils.normalize_gps(TotalList['gps'].values.tolist(), centroids)\n", + "display(TotalList)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:07:54.432731Z", + "start_time": "2023-11-07T00:07:54.412279Z" + } + }, + "id": "a03ebde91b87fa3b" + }, + { + "cell_type": "markdown", + "source": [ + "# Cluster and Minimize" + ], + "metadata": { + "collapsed": false + }, + "id": "4bd41be9aca5094b" + }, + { + "cell_type": "code", + "execution_count": 23, + "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", + "df, route_1_coordinates, route_2_coordinates = utils.cluster_and_minimize(TotalList, centroids, norm_centroids,\n", + " northeastern_coordinate, 0.5)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T00:08:20.577006Z", + "start_time": "2023-11-07T00:07:54.416349Z" + } + }, + "id": "ee9b3c1ecb360976" + }, + { + "cell_type": "code", + "execution_count": 24, "outputs": [], "source": [ "# Create a JSON request for the API\n", "# This is the data we want to get from the API\n", - "northeastern_coordinate = \"-71.09033,42.33976;\"\n", - "route_1 = '-71.2038948,42.4299758;-71.1060828,42.3511927;-71.0969274,42.3446263;-71.130887,42.35304;-71.1459593,42.3501823;-71.1460435,42.3495825;-71.1217152,42.3426377;-71.1258765,42.331864;-71.1095021,42.3364675;-71.133103,42.3890049;-71.1123834,42.3360385;-71.2273649,42.3145041;-71.0992038,42.3306454;-71.0990577,42.3381442;-71.0949218,42.3419564;-71.0942861,42.3413301;-71.0913583,42.3490205;-71.1000217,42.3323776;-71.1241295,42.3518397;-71.1618052,42.3245965;-71.1625829,42.340795;-71.167854,42.4107892;-71.155555,42.3317473;-71.1227278,42.3965778;-71.1126695,42.3836229;-71.119149,42.3884;-71.1427371,42.3433772;-71.1438455,42.3569102;-71.1313443,42.3525708;-71.1284677,42.3631904;-71.119301,42.388547;-71.097883,42.381008;-71.1107166,42.3741209;-71.1194344,42.3754427;-71.1013044,42.3627462;-71.1108423,42.3838224;-71.1026937,42.3820702;-71.1189467,42.373465;-71.1208817,42.3732344;-71.0968274,42.3799095;-71.094048,42.339381;-71.1854722,42.3621177;-71.1146697,42.3782386;-71.0935443,42.3817274;-71.0906355,42.3616095;-71.1161887,42.3766442;-71.0962734,42.3627993;-71.1155576,42.3784629;-71.0949101,42.3797674;-71.1087411,42.3640287;-71.09476,42.37736;-71.1014951,42.3614115;-71.1024769,42.3822934;-71.1011111,42.3636597;-71.0898829,42.3463992;-71.0983169,42.3319001'\n", - "route_2 = '-71.0553792,42.3688272;-71.0688746,42.3576234;-71.0754527,42.3565057;-71.0620802,42.3579151;-71.0586014,42.357357;-71.0572023,42.3587627;-71.0556268,42.36521;-71.0720926,42.3489004;-71.067859,42.3500079;-71.0632036,42.3556154;-71.0620134,42.3248471;-71.0851891,42.3500031;-71.066414,42.354296;-71.0834061,42.341987;-71.0569649,42.3604952;-71.0498714,42.3256817;-71.0908104,42.329969;-71.0616035,42.3537983;-71.0359433,42.3485465;-71.0638101,42.3587772;-71.0555003,42.3640137;-71.0712561,42.3407613;-71.0561781,42.3668968;-71.0664019,42.3554589;-71.059228,42.359349;-71.0668408,42.3524116;-71.0872846,42.2961434;-71.062146,42.366198;-71.0651214,42.3553972;-71.0596124,42.3509517;-71.0359354,42.3478381;-71.061757,42.3691906;-71.0609962,42.3803747;-71.0516339,42.3609921;-71.0809932,42.3675275;-71.0545357,42.3597994;-71.0342146,42.316274;-71.0756902,42.3695046;-71.0678704,42.3701829;-71.0656594,42.3718401;-71.0611749,42.3551807;-71.0554239,42.3739796;-71.0631664,42.3741694;-71.056823,42.361531;-71.0632852,42.2857047;-71.0637877,42.2845163;-71.0496839,42.3519736;-71.0454645,42.3162356;-71.0336324,42.3441918;-71.0487437,42.3508756;-71.0512911,42.3521821;-71.0013637,42.2075316;-71.0607764,42.3763541;-71.0374911,42.316031;-71.0125206,42.3378699;-71.0672898,42.3523158;-71.02832,42.2576602;-71.0502126,42.3516479;-71.0331956,42.3639107;-71.0432778,42.3528151;-71.0035279,42.2392354;-71.0470633,42.3537343;-71.0352443,42.3291218;-71.0240951,42.2743442;-71.0234949,42.3358743;-70.985881,42.420226;-71.0005483,42.2454086;-71.0096371,42.3367603;-71.0447796,42.3509709;-71.0092883,42.2763168;-71.0404428,42.3478375;-71.056908,42.361288;-71.0667744,42.3270498;-71.0119933,42.2806539'" + "route_1 = utils.list_to_string(route_1_coordinates)\n", + "route_2 = utils.list_to_string(route_2_coordinates)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:16.774149Z", - "start_time": "2023-11-06T01:23:16.765417Z" + "end_time": "2023-11-07T00:08:20.591584Z", + "start_time": "2023-11-07T00:08:20.577492Z" } }, "id": "aa618161182b5b07" }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 25, "outputs": [], "source": [ "# Create a dataframe from the JSON\n", - "df1 = utils.create_json_df(northeastern_coordinate + route_1)\n", - "df2 = utils.create_json_df(northeastern_coordinate + route_2)" + "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)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:18.694403Z", - "start_time": "2023-11-06T01:23:16.768656Z" + "end_time": "2023-11-07T00:08:22.409355Z", + "start_time": "2023-11-07T00:08:20.579890Z" } }, "id": "32c485788eedd94" }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 26, "outputs": [], "source": [ "# Add columns for the route number\n", @@ -73,20 +232,20 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:18.698699Z", - "start_time": "2023-11-06T01:23:18.696008Z" + "end_time": "2023-11-07T00:08:22.425179Z", + "start_time": "2023-11-07T00:08:22.412707Z" } }, "id": "49dba1f17ca8337e" }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 27, "outputs": [ { "data": { - "text/plain": " waypoint_index trips_index \\\n0 0 0 \n17 1 0 \n22 2 0 \n73 3 0 \n11 4 0 \n.. ... ... \n3 70 0 \n12 71 0 \n9 72 0 \n8 73 0 \n14 74 0 \n\n hint distance \\\n0 DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA... 0.236958 \n17 5tYhgJHXIYAIAAAArQAAADwAAABCAQAAaRlbQD16mUGpAc... 17.374491 \n22 XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR... 11.054154 \n73 CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r... 10.970598 \n11 43YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA... 18.896385 \n.. ... ... \n3 jt4hgJLeIYA7AAAALQAAAAAAAAAAAAAA4gPGQasVlUEAAA... 4.709088 \n12 0OEhgPvhIYADAAAABgAAAA8AAAA0AAAA2lq-PipQFD-Y-N... 2.009578 \n9 m8shgJ7LIYAOAAAAXgEAAAAAAAAAAAAAOFW-QDE5G0IAAA... 1.716409 \n8 YQ0DgBTPIYDvAAAAdAAAAAAAAAAAAAAAsgLVQbMxTUEAAA... 4.830022 \n14 lhgDgIkYA4BkAAAAIgEAAFoBAAAaAAAAJyAzQWNrAEI8Ax... 7.134933 \n\n name location lat lon \\\n0 Northeastern (Inbound) [-71.090331, 42.339762] -71.090331 42.339762 \n17 Dudley Street [-71.090904, 42.329829] -71.090904 42.329829 \n22 [-71.071196, 42.34085] -71.071196 42.340850 \n73 [-71.066844, 42.327134] -71.066844 42.327134 \n11 Lucy Street [-71.06221, 42.324934] -71.062210 42.324934 \n.. ... ... ... ... \n3 [-71.075414, 42.356537] -71.075414 42.356537 \n12 [-71.085166, 42.349997] -71.085166 42.349997 \n9 Piedmont Street [-71.067854, 42.349993] -71.067854 42.349993 \n8 [-71.072038, 42.348915] -71.072038 42.348915 \n14 [-71.083465, 42.34194] -71.083465 42.341940 \n\n route \n0 2 \n17 2 \n22 2 \n73 2 \n11 2 \n.. ... \n3 2 \n12 2 \n9 2 \n8 2 \n14 2 \n\n[75 rows x 9 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
waypoint_indextrips_indexhintdistancenamelocationlatlonroute
000DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...0.236958Northeastern (Inbound)[-71.090331, 42.339762]-71.09033142.3397622
17105tYhgJHXIYAIAAAArQAAADwAAABCAQAAaRlbQD16mUGpAc...17.374491Dudley Street[-71.090904, 42.329829]-71.09090442.3298292
2220XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR...11.054154[-71.071196, 42.34085]-71.07119642.3408502
7330CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r...10.970598[-71.066844, 42.327134]-71.06684442.3271342
114043YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA...18.896385Lucy Street[-71.06221, 42.324934]-71.06221042.3249342
..............................
3700jt4hgJLeIYA7AAAALQAAAAAAAAAAAAAA4gPGQasVlUEAAA...4.709088[-71.075414, 42.356537]-71.07541442.3565372
127100OEhgPvhIYADAAAABgAAAA8AAAA0AAAA2lq-PipQFD-Y-N...2.009578[-71.085166, 42.349997]-71.08516642.3499972
9720m8shgJ7LIYAOAAAAXgEAAAAAAAAAAAAAOFW-QDE5G0IAAA...1.716409Piedmont Street[-71.067854, 42.349993]-71.06785442.3499932
8730YQ0DgBTPIYDvAAAAdAAAAAAAAAAAAAAAsgLVQbMxTUEAAA...4.830022[-71.072038, 42.348915]-71.07203842.3489152
14740lhgDgIkYA4BkAAAAIgEAAFoBAAAaAAAAJyAzQWNrAEI8Ax...7.134933[-71.083465, 42.34194]-71.08346542.3419402
\n

75 rows × 9 columns

\n
" + "text/plain": " waypoint_index trips_index \\\n0 0 0 \n13 1 0 \n68 2 0 \n40 3 0 \n22 4 0 \n.. ... ... \n14 67 0 \n11 68 0 \n69 69 0 \n19 70 0 \n71 71 0 \n\n hint distance \\\n0 dMQAgDTDAIAuAAAAEgAAAAAAAAAAAAAAiaamQKk960AAAA... 1.113855 \n13 oLwsgCS9LIBHAAAA2AAAAAAAAABgAQAAkQwAQdo1v0EAAA... 2.532529 \n68 CL0sgBS9LIAhAAAAagAAAAAAAAAAAAAAfoF0QPCwOkEAAA... 7.608103 \n40 YbwsgEO9LIBbAAAAEgAAAAAAAAAPAAAA5ua1QcswjkAAAA... 0.468602 \n22 UkAEgFxABIB8AAAAAAAAAAAAAAAYAgAAVjBdQQAAAAAAAA... 6.397300 \n.. ... ... \n14 -mUsgHZmLIATAAAAYgEAAL0AAADpAAAALf8HQHZ8HUK-9a... 55.355565 \n11 43YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA... 18.896385 \n69 CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r... 10.970598 \n19 XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR... 11.054154 \n71 DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA... 0.236958 \n\n name location lat lon \\\n0 State Street [-71.056741, 42.358884] -71.056741 42.358884 \n13 [-71.056995, 42.36049] -71.056995 42.360490 \n68 [-71.056994, 42.361263] -71.056994 42.361263 \n40 Creek Square [-71.056819, 42.361534] -71.056819 42.361534 \n22 [-71.059255, 42.359295] -71.059255 42.359295 \n.. ... ... ... ... \n14 [-71.049204, 42.325624] -71.049204 42.325624 \n11 Lucy Street [-71.06221, 42.324934] -71.062210 42.324934 \n69 [-71.066844, 42.327134] -71.066844 42.327134 \n19 [-71.071196, 42.34085] -71.071196 42.340850 \n71 Northeastern (Inbound) [-71.090331, 42.339762] -71.090331 42.339762 \n\n route \n0 2 \n13 2 \n68 2 \n40 2 \n22 2 \n.. ... \n14 2 \n11 2 \n69 2 \n19 2 \n71 2 \n\n[72 rows x 9 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
waypoint_indextrips_indexhintdistancenamelocationlatlonroute
000dMQAgDTDAIAuAAAAEgAAAAAAAAAAAAAAiaamQKk960AAAA...1.113855State Street[-71.056741, 42.358884]-71.05674142.3588842
1310oLwsgCS9LIBHAAAA2AAAAAAAAABgAQAAkQwAQdo1v0EAAA...2.532529[-71.056995, 42.36049]-71.05699542.3604902
6820CL0sgBS9LIAhAAAAagAAAAAAAAAAAAAAfoF0QPCwOkEAAA...7.608103[-71.056994, 42.361263]-71.05699442.3612632
4030YbwsgEO9LIBbAAAAEgAAAAAAAAAPAAAA5ua1QcswjkAAAA...0.468602Creek Square[-71.056819, 42.361534]-71.05681942.3615342
2240UkAEgFxABIB8AAAAAAAAAAAAAAAYAgAAVjBdQQAAAAAAAA...6.397300[-71.059255, 42.359295]-71.05925542.3592952
..............................
14670-mUsgHZmLIATAAAAYgEAAL0AAADpAAAALf8HQHZ8HUK-9a...55.355565[-71.049204, 42.325624]-71.04920442.3256242
1168043YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA...18.896385Lucy Street[-71.06221, 42.324934]-71.06221042.3249342
69690CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r...10.970598[-71.066844, 42.327134]-71.06684442.3271342
19700XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR...11.054154[-71.071196, 42.34085]-71.07119642.3408502
71710DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...0.236958Northeastern (Inbound)[-71.090331, 42.339762]-71.09033142.3397622
\n

72 rows × 9 columns

\n
" }, "metadata": {}, "output_type": "display_data" @@ -98,22 +257,22 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:18.708601Z", - "start_time": "2023-11-06T01:23:18.705324Z" + "end_time": "2023-11-07T00:08:22.440853Z", + "start_time": "2023-11-07T00:08:22.424158Z" } }, "id": "f231d9a35358988c" }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 28, "outputs": [ { "data": { - "text/plain": "", - "text/html": "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + "text/plain": "", + "text/html": "
Make this Notebook Trusted to load map: File -> Trust Notebook
" }, - "execution_count": 15, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -127,9 +286,10 @@ "\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", + " 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(m)\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" @@ -137,101 +297,81 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:18.781393Z", - "start_time": "2023-11-06T01:23:18.709803Z" + "end_time": "2023-11-07T00:08:22.513542Z", + "start_time": "2023-11-07T00:08:22.430363Z" } }, "id": "80fd847da2833913" }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 29, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The trip will take 6.789722222222222 hours\n", - "The trip will take 9.955833333333333 hours\n" + "Route 1 has 61 waypoints\n", + "Route 2 has 70 waypoints\n" ] } ], "source": [ - "trip_hrs_1 = utils.get_trip_time(route_1)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_1))\n", - "trip_hrs_2 = utils.get_trip_time(route_2)\n", - "print(\"The trip will take {} hours\".format(trip_hrs_2))" + "# 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))" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:20.448487Z", - "start_time": "2023-11-06T01:23:18.761079Z" + "end_time": "2023-11-07T00:08:22.513689Z", + "start_time": "2023-11-07T00:08:22.488854Z" } }, - "id": "a3ec09dfb5cbb5b3" + "id": "f53c97acec1c2fc4" }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " waypoint_index trips_index \\\n", - "20 20 0 \n", - "\n", - " hint distance name \\\n", - "20 2M4pgNrOKYCCAQAADAAAAAAAAAAAAAAALKILQ27Ah0AAAA... 0.0 Echo Bridge \n", - "\n", - " location lat lon route \n", - "20 [-71.227365, 42.314504] -71.227365 42.314504 1 \n" + "The trip will take 10.36111111111111 hours\n", + "The trip will take 10.586666666666666 hours\n" ] } ], "source": [ - "# Find the westmost point in Route 1\n", - "df1 = df[df['route'] == 1]\n", - "west = df1[df1['lon'] == df1['lon'].min()]\n", - "print(west)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-11-06T01:23:20.455714Z", - "start_time": "2023-11-06T01:23:20.453647Z" - } - }, - "id": "be94c3708a1bd250" - }, - { - "cell_type": "code", - "execution_count": 18, - "outputs": [], - "source": [ - "# Remove the westmost point from Route 1\n", - "df = df.drop(west.index)" + "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))" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:20.460791Z", - "start_time": "2023-11-06T01:23:20.456599Z" + "end_time": "2023-11-07T00:08:24.460727Z", + "start_time": "2023-11-07T00:08:22.491469Z" } }, - "id": "21fef07e5b2a03a0" + "id": "a3ec09dfb5cbb5b3" }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 30, "outputs": [], "source": [], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-06T01:23:20.460900Z", - "start_time": "2023-11-06T01:23:20.458522Z" + "end_time": "2023-11-07T00:08:24.471189Z", + "start_time": "2023-11-07T00:08:24.460431Z" } }, "id": "eafe5678c44e94fd" -- cgit v1.2.3 From 65021e67cd575df51e31857ff7559fcaad9f588e Mon Sep 17 00:00:00 2001 From: itsGarrin Date: Mon, 6 Nov 2023 20:28:53 -0500 Subject: Finished 3 route algorithm --- ZestySalesman.ipynb | 441 ++++++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 373 insertions(+), 68 deletions(-) (limited to 'ZestySalesman.ipynb') diff --git a/ZestySalesman.ipynb b/ZestySalesman.ipynb index f39f5bc..1d1fd59 100644 --- a/ZestySalesman.ipynb +++ b/ZestySalesman.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "code", - "execution_count": 16, + "execution_count": 24, "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.400654Z", - "start_time": "2023-11-07T00:07:54.375821Z" + "end_time": "2023-11-07T01:17:52.608101Z", + "start_time": "2023-11-07T01:17:52.539921Z" } }, "outputs": [], @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 25, "outputs": [], "source": [ "# Load the data\n", @@ -32,34 +32,34 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.430515Z", - "start_time": "2023-11-07T00:07:54.381537Z" + "end_time": "2023-11-07T01:17:52.672617Z", + "start_time": "2023-11-07T01:17:52.544450Z" } }, "id": "73b780e762c9de37" }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 26, "outputs": [], "source": [ - "# Create two centroids, one in the North End and one in the Financial District\n", - "centroids = [[42.364506, -71.054733], [42.358894, -71.056742]]\n", + "# Create three centroids, one in the North End, one in the Financial District, and one in the Back Bay\n", + "centroids = [[42.364506, -71.054733], [42.358894, -71.056742], [42.3505, -71.0760]]\n", "\n", "northeastern_coordinate = \"-71.09033,42.33976\"" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.431407Z", - "start_time": "2023-11-07T00:07:54.392677Z" + "end_time": "2023-11-07T01:17:52.673868Z", + "start_time": "2023-11-07T01:17:52.558087Z" } }, - "id": "65e208650eb43b4" + "id": "be4c8c1d77842ef7" }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 27, "outputs": [], "source": [ "# Combine the two lists and add a column to indicate the list\n", @@ -68,20 +68,20 @@ "ListC['list'] = 'C'\n", "ListD['list'] = 'D'\n", "\n", - "TotalList = pd.concat([ListA, ListB, ListC])" + "TotalList = pd.concat([ListA, ListB, ListC, ListD])" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.431829Z", - "start_time": "2023-11-07T00:07:54.397279Z" + "end_time": "2023-11-07T01:17:52.702176Z", + "start_time": "2023-11-07T01:17:52.568817Z" } }, "id": "ffe4025e97a6c6b9" }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 28, "outputs": [], "source": [ "# Remove all columns but name and gps\n", @@ -90,15 +90,15 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.432180Z", - "start_time": "2023-11-07T00:07:54.401907Z" + "end_time": "2023-11-07T01:17:52.706405Z", + "start_time": "2023-11-07T01:17:52.577745Z" } }, "id": "72657779b4484aae" }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 29, "outputs": [], "source": [ "# Convert the gps column to a list of lists for k-means\n", @@ -108,20 +108,20 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.432238Z", - "start_time": "2023-11-07T00:07:54.405216Z" + "end_time": "2023-11-07T01:17:52.706689Z", + "start_time": "2023-11-07T01:17:52.581919Z" } }, "id": "a157ffaec020a29a" }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 30, "outputs": [ { "data": { - "text/plain": " name gps list \\\n0 521 Commercial Street #525 [42.3688272, -71.0553792] A \n1 Acorn St [42.3576234, -71.0688746] A \n2 Arlington's Great Meadows [42.4299758, -71.2038948] A \n3 Arthur Fiedler Statue [42.3565057, -71.0754527] A \n4 BU Beach [42.3511927, -71.1060828] A \n.. ... ... ... \n28 The Clam Box [42.2763168, -71.0092883] C \n29 The Partisans [42.3478375, -71.0404428] C \n30 Union Oyster House [42.361288, -71.056908] C \n31 Victoria's Diner [42.3270498, -71.0667744] C \n32 Wollaston Beach [42.2806539, -71.0119933] C \n\n normalized_gps \n0 [0.7251058917247415, 0.8141430878559053] \n1 [0.6747391031099019, 0.778052752104061] \n2 [1.0, 0.41697235794883575] \n3 [0.6697144722136962, 0.7604611403245493] \n4 [0.6458298305822171, 0.6785480000609988] \n.. ... \n28 [0.30922451563130937, 0.9374025730216268] \n29 [0.6307464973238023, 0.8540870458656248] \n30 [0.6912133469876947, 0.8100546647415456] \n31 [0.5372951958288665, 0.7836692527743693] \n32 [0.32872198960456106, 0.9301686741961767] \n\n[131 rows x 4 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
namegpslistnormalized_gps
0521 Commercial Street #525[42.3688272, -71.0553792]A[0.7251058917247415, 0.8141430878559053]
1Acorn St[42.3576234, -71.0688746]A[0.6747391031099019, 0.778052752104061]
2Arlington's Great Meadows[42.4299758, -71.2038948]A[1.0, 0.41697235794883575]
3Arthur Fiedler Statue[42.3565057, -71.0754527]A[0.6697144722136962, 0.7604611403245493]
4BU Beach[42.3511927, -71.1060828]A[0.6458298305822171, 0.6785480000609988]
...............
28The Clam Box[42.2763168, -71.0092883]C[0.30922451563130937, 0.9374025730216268]
29The Partisans[42.3478375, -71.0404428]C[0.6307464973238023, 0.8540870458656248]
30Union Oyster House[42.361288, -71.056908]C[0.6912133469876947, 0.8100546647415456]
31Victoria's Diner[42.3270498, -71.0667744]C[0.5372951958288665, 0.7836692527743693]
32Wollaston Beach[42.2806539, -71.0119933]C[0.32872198960456106, 0.9301686741961767]
\n

131 rows × 4 columns

\n
" + "text/plain": " name gps list \\\n0 521 Commercial Street #525 [42.3688272, -71.0553792] A \n1 Acorn St [42.3576234, -71.0688746] A \n2 Arlington's Great Meadows [42.4299758, -71.2038948] A \n3 Arthur Fiedler Statue [42.3565057, -71.0754527] A \n4 BU Beach [42.3511927, -71.1060828] A \n.. ... ... ... \n33 The Quiet Few [42.3670906, -71.0359889] D \n34 The Tall Ship Boston [42.3649544, -71.0414523] D \n35 Toasted Flats [42.3711266, -71.0371343] D \n36 Vega Market [42.3891835, -71.033703] D \n37 Winthrop High School [42.3803348, -70.9799864] D \n\n normalized_gps \n0 [0.7251058917247415, 0.7797482353989729] \n1 [0.6747391031099019, 0.7451825969538083] \n2 [1.0, 0.3993566550776867] \n3 [0.6697144722136962, 0.7283341725828262] \n4 [0.6458298305822171, 0.6498815915448888] \n.. ... \n33 [0.717298990038831, 0.8294124246148072] \n34 [0.7076956827824702, 0.8154190706511427] \n35 [0.7354428661210094, 0.8264787225922622] \n36 [0.8166178304491644, 0.8352672783369615] \n37 [0.7768384161061446, 0.972851090162032] \n\n[169 rows x 4 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
namegpslistnormalized_gps
0521 Commercial Street #525[42.3688272, -71.0553792]A[0.7251058917247415, 0.7797482353989729]
1Acorn St[42.3576234, -71.0688746]A[0.6747391031099019, 0.7451825969538083]
2Arlington's Great Meadows[42.4299758, -71.2038948]A[1.0, 0.3993566550776867]
3Arthur Fiedler Statue[42.3565057, -71.0754527]A[0.6697144722136962, 0.7283341725828262]
4BU Beach[42.3511927, -71.1060828]A[0.6458298305822171, 0.6498815915448888]
...............
33The Quiet Few[42.3670906, -71.0359889]D[0.717298990038831, 0.8294124246148072]
34The Tall Ship Boston[42.3649544, -71.0414523]D[0.7076956827824702, 0.8154190706511427]
35Toasted Flats[42.3711266, -71.0371343]D[0.7354428661210094, 0.8264787225922622]
36Vega Market[42.3891835, -71.033703]D[0.8166178304491644, 0.8352672783369615]
37Winthrop High School[42.3803348, -70.9799864]D[0.7768384161061446, 0.972851090162032]
\n

169 rows × 4 columns

\n
" }, "metadata": {}, "output_type": "display_data" @@ -135,8 +135,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:07:54.432731Z", - "start_time": "2023-11-07T00:07:54.412279Z" + "end_time": "2023-11-07T01:17:52.707232Z", + "start_time": "2023-11-07T01:17:52.597329Z" } }, "id": "a03ebde91b87fa3b" @@ -144,16 +144,26 @@ { "cell_type": "markdown", "source": [ - "# Cluster and Minimize" + "# 2 Routes" ], "metadata": { "collapsed": false }, "id": "4bd41be9aca5094b" }, + { + "cell_type": "markdown", + "source": [ + "## Cluster and Minimize" + ], + "metadata": { + "collapsed": false + }, + "id": "90d1d2f1a931597f" + }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 31, "outputs": [ { "name": "stderr", @@ -168,21 +178,32 @@ ], "source": [ "# Cluster and minimize the data\n", - "df, route_1_coordinates, route_2_coordinates = utils.cluster_and_minimize(TotalList, centroids, norm_centroids,\n", - " northeastern_coordinate, 0.5)" + "norm_centroids_2 = norm_centroids[:2]\n", + "_, route_1_coordinates, route_2_coordinates = utils.cluster_and_minimize_2(TotalList, centroids, norm_centroids_2,\n", + " northeastern_coordinate, 0.5, minimize=True)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:20.577006Z", - "start_time": "2023-11-07T00:07:54.416349Z" + "end_time": "2023-11-07T01:18:19.800168Z", + "start_time": "2023-11-07T01:17:52.606044Z" } }, "id": "ee9b3c1ecb360976" }, + { + "cell_type": "markdown", + "source": [ + "## Create JSON" + ], + "metadata": { + "collapsed": false + }, + "id": "c85b8ef869e35006" + }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 32, "outputs": [], "source": [ "# Create a JSON request for the API\n", @@ -193,15 +214,15 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:20.591584Z", - "start_time": "2023-11-07T00:08:20.577492Z" + "end_time": "2023-11-07T01:18:19.807296Z", + "start_time": "2023-11-07T01:18:19.799849Z" } }, "id": "aa618161182b5b07" }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 33, "outputs": [], "source": [ "# Create a dataframe from the JSON\n", @@ -211,15 +232,15 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:22.409355Z", - "start_time": "2023-11-07T00:08:20.579890Z" + "end_time": "2023-11-07T01:18:22.014184Z", + "start_time": "2023-11-07T01:18:19.803262Z" } }, "id": "32c485788eedd94" }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 34, "outputs": [], "source": [ "# Add columns for the route number\n", @@ -232,47 +253,57 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:22.425179Z", - "start_time": "2023-11-07T00:08:22.412707Z" + "end_time": "2023-11-07T01:18:22.024878Z", + "start_time": "2023-11-07T01:18:22.017438Z" } }, "id": "49dba1f17ca8337e" }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 35, "outputs": [ { "data": { - "text/plain": " waypoint_index trips_index \\\n0 0 0 \n13 1 0 \n68 2 0 \n40 3 0 \n22 4 0 \n.. ... ... \n14 67 0 \n11 68 0 \n69 69 0 \n19 70 0 \n71 71 0 \n\n hint distance \\\n0 dMQAgDTDAIAuAAAAEgAAAAAAAAAAAAAAiaamQKk960AAAA... 1.113855 \n13 oLwsgCS9LIBHAAAA2AAAAAAAAABgAQAAkQwAQdo1v0EAAA... 2.532529 \n68 CL0sgBS9LIAhAAAAagAAAAAAAAAAAAAAfoF0QPCwOkEAAA... 7.608103 \n40 YbwsgEO9LIBbAAAAEgAAAAAAAAAPAAAA5ua1QcswjkAAAA... 0.468602 \n22 UkAEgFxABIB8AAAAAAAAAAAAAAAYAgAAVjBdQQAAAAAAAA... 6.397300 \n.. ... ... \n14 -mUsgHZmLIATAAAAYgEAAL0AAADpAAAALf8HQHZ8HUK-9a... 55.355565 \n11 43YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA... 18.896385 \n69 CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r... 10.970598 \n19 XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR... 11.054154 \n71 DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA... 0.236958 \n\n name location lat lon \\\n0 State Street [-71.056741, 42.358884] -71.056741 42.358884 \n13 [-71.056995, 42.36049] -71.056995 42.360490 \n68 [-71.056994, 42.361263] -71.056994 42.361263 \n40 Creek Square [-71.056819, 42.361534] -71.056819 42.361534 \n22 [-71.059255, 42.359295] -71.059255 42.359295 \n.. ... ... ... ... \n14 [-71.049204, 42.325624] -71.049204 42.325624 \n11 Lucy Street [-71.06221, 42.324934] -71.062210 42.324934 \n69 [-71.066844, 42.327134] -71.066844 42.327134 \n19 [-71.071196, 42.34085] -71.071196 42.340850 \n71 Northeastern (Inbound) [-71.090331, 42.339762] -71.090331 42.339762 \n\n route \n0 2 \n13 2 \n68 2 \n40 2 \n22 2 \n.. ... \n14 2 \n11 2 \n69 2 \n19 2 \n71 2 \n\n[72 rows x 9 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
waypoint_indextrips_indexhintdistancenamelocationlatlonroute
000dMQAgDTDAIAuAAAAEgAAAAAAAAAAAAAAiaamQKk960AAAA...1.113855State Street[-71.056741, 42.358884]-71.05674142.3588842
1310oLwsgCS9LIBHAAAA2AAAAAAAAABgAQAAkQwAQdo1v0EAAA...2.532529[-71.056995, 42.36049]-71.05699542.3604902
6820CL0sgBS9LIAhAAAAagAAAAAAAAAAAAAAfoF0QPCwOkEAAA...7.608103[-71.056994, 42.361263]-71.05699442.3612632
4030YbwsgEO9LIBbAAAAEgAAAAAAAAAPAAAA5ua1QcswjkAAAA...0.468602Creek Square[-71.056819, 42.361534]-71.05681942.3615342
2240UkAEgFxABIB8AAAAAAAAAAAAAAAYAgAAVjBdQQAAAAAAAA...6.397300[-71.059255, 42.359295]-71.05925542.3592952
..............................
14670-mUsgHZmLIATAAAAYgEAAL0AAADpAAAALf8HQHZ8HUK-9a...55.355565[-71.049204, 42.325624]-71.04920442.3256242
1168043YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA...18.896385Lucy Street[-71.06221, 42.324934]-71.06221042.3249342
69690CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r...10.970598[-71.066844, 42.327134]-71.06684442.3271342
19700XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR...11.054154[-71.071196, 42.34085]-71.07119642.3408502
71710DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...0.236958Northeastern (Inbound)[-71.090331, 42.339762]-71.09033142.3397622
\n

72 rows × 9 columns

\n
" + "text/plain": " waypoint_index trips_index \\\n0 0 0 \n1 1 0 \n2 2 0 \n3 3 0 \n4 4 0 \n.. ... ... \n168 64 0 \n169 65 0 \n170 66 0 \n171 67 0 \n172 68 0 \n\n hint distance \\\n0 t4YsgAGHLIAAAAAAVQEAAAAAAAAwAAAAAAAAAHV0F0IAAA... 19.432511 \n1 IzYEgGw1BIASAAAArwAAADMAAACUAwAAynkIQGUkmkEXlL... 6.024489 \n2 G4gsgDiILICSAwAA5gAAAOkAAAAAAAAAQljLQnyXy0Fhy8... 2.602121 \n3 gIosgLaKLIDOAAAArgAAAFwBAAAAAAAAp3O3QafxmUEQiR... 15.458439 \n4 HpwsgCKcLIAAAAAAEgAAAAAAAAAAAAAAAAAAACg870AAAA... 39.201677 \n.. ... ... \n168 cX8hgJF_IYA1AAAAMAAAAGcAAABOAAAATyWxQQ77nUEHMC... 22.776295 \n169 g38hgI1_IYBOAAAAfwAAAAAAAAAAAAAAZ4ECQsbEUkIAAA... 12.789906 \n170 e38hgIUAA4C6AgAAGQAAAAAAAAAAAAAA_DybQoNdJUEAAA... 6.310267 \n171 k4chgBiIIYAKAAAAFwAAAPQDAAB_AgAAHn2aP-biHUBi6e... 36.240351 \n172 DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA... 0.236958 \n\n name location lat lon \\\n0 [-71.054865, 42.364361] -71.054865 42.364361 \n1 [-71.055569, 42.364032] -71.055569 42.364032 \n2 [-71.056164, 42.366918] -71.056164 42.366918 \n3 [-71.055561, 42.368861] -71.055561 42.368861 \n4 [-71.062507, 42.365968] -71.062507 42.365968 \n.. ... ... ... ... \n168 Alleghany Street [-71.099348, 42.33047] -71.099348 42.330470 \n169 Tremont Street [-71.098267, 42.332009] -71.098267 42.332009 \n170 Carmel Street [-71.100092, 42.332401] -71.100092 42.332401 \n171 [-71.093834, 42.339096] -71.093834 42.339096 \n172 Northeastern (Inbound) [-71.090331, 42.339762] -71.090331 42.339762 \n\n route \n0 1 \n1 1 \n2 1 \n3 1 \n4 1 \n.. ... \n168 2 \n169 2 \n170 2 \n171 2 \n172 2 \n\n[173 rows x 9 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
waypoint_indextrips_indexhintdistancenamelocationlatlonroute
000t4YsgAGHLIAAAAAAVQEAAAAAAAAwAAAAAAAAAHV0F0IAAA...19.432511[-71.054865, 42.364361]-71.05486542.3643611
110IzYEgGw1BIASAAAArwAAADMAAACUAwAAynkIQGUkmkEXlL...6.024489[-71.055569, 42.364032]-71.05556942.3640321
220G4gsgDiILICSAwAA5gAAAOkAAAAAAAAAQljLQnyXy0Fhy8...2.602121[-71.056164, 42.366918]-71.05616442.3669181
330gIosgLaKLIDOAAAArgAAAFwBAAAAAAAAp3O3QafxmUEQiR...15.458439[-71.055561, 42.368861]-71.05556142.3688611
440HpwsgCKcLIAAAAAAEgAAAAAAAAAAAAAAAAAAACg870AAAA...39.201677[-71.062507, 42.365968]-71.06250742.3659681
..............................
168640cX8hgJF_IYA1AAAAMAAAAGcAAABOAAAATyWxQQ77nUEHMC...22.776295Alleghany Street[-71.099348, 42.33047]-71.09934842.3304702
169650g38hgI1_IYBOAAAAfwAAAAAAAAAAAAAAZ4ECQsbEUkIAAA...12.789906Tremont Street[-71.098267, 42.332009]-71.09826742.3320092
170660e38hgIUAA4C6AgAAGQAAAAAAAAAAAAAA_DybQoNdJUEAAA...6.310267Carmel Street[-71.100092, 42.332401]-71.10009242.3324012
171670k4chgBiIIYAKAAAAFwAAAPQDAAB_AgAAHn2aP-biHUBi6e...36.240351[-71.093834, 42.339096]-71.09383442.3390962
172680DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...0.236958Northeastern (Inbound)[-71.090331, 42.339762]-71.09033142.3397622
\n

173 rows × 9 columns

\n
" }, "metadata": {}, "output_type": "display_data" } ], "source": [ - "display(df2)" + "display(df)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:22.440853Z", - "start_time": "2023-11-07T00:08:22.424158Z" + "end_time": "2023-11-07T01:18:22.033944Z", + "start_time": "2023-11-07T01:18:22.026906Z" } }, "id": "f231d9a35358988c" }, + { + "cell_type": "markdown", + "source": [ + "## Map" + ], + "metadata": { + "collapsed": false + }, + "id": "75be92e34a36147f" + }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 36, "outputs": [ { "data": { - "text/plain": "", - "text/html": "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + "text/plain": "", + "text/html": "
Make this Notebook Trusted to load map: File -> Trust Notebook
" }, - "execution_count": 28, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -297,22 +328,32 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:22.513542Z", - "start_time": "2023-11-07T00:08:22.430363Z" + "end_time": "2023-11-07T01:18:22.118478Z", + "start_time": "2023-11-07T01:18:22.036338Z" } }, "id": "80fd847da2833913" }, + { + "cell_type": "markdown", + "source": [ + "## Results" + ], + "metadata": { + "collapsed": false + }, + "id": "a7b562f75f7e0813" + }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 37, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Route 1 has 61 waypoints\n", - "Route 2 has 70 waypoints\n" + "Route 1 has 102 waypoints\n", + "Route 2 has 67 waypoints\n" ] } ], @@ -326,22 +367,22 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:22.513689Z", - "start_time": "2023-11-07T00:08:22.488854Z" + "end_time": "2023-11-07T01:18:22.120347Z", + "start_time": "2023-11-07T01:18:22.104950Z" } }, "id": "f53c97acec1c2fc4" }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 38, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The trip will take 10.36111111111111 hours\n", - "The trip will take 10.586666666666666 hours\n" + "The trip will take 12.788333333333334 hours\n", + "The trip will take 13.1675 hours\n" ] } ], @@ -356,25 +397,289 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:24.460727Z", - "start_time": "2023-11-07T00:08:22.491469Z" + "end_time": "2023-11-07T01:18:24.705352Z", + "start_time": "2023-11-07T01:18:22.107540Z" } }, "id": "a3ec09dfb5cbb5b3" }, + { + "cell_type": "markdown", + "source": [ + "# 3 Routes" + ], + "metadata": { + "collapsed": false + }, + "id": "de7b5856172d213c" + }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 47, + "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", + "_, route_1_coordinates, route_2_coordinates, route_3_coordinates = utils.cluster_and_minimize_3(TotalList, centroids,\n", + " norm_centroids,\n", + " northeastern_coordinate,\n", + " 0.2, minimize=True)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:14.864605Z", + "start_time": "2023-11-07T01:21:59.518900Z" + } + }, + "id": "bb6e00857e8175c0" + }, + { + "cell_type": "markdown", + "source": [ + "## Create JSON" + ], + "metadata": { + "collapsed": false + }, + "id": "19afb4f687b37383" + }, + { + "cell_type": "code", + "execution_count": 48, + "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)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:16.725390Z", + "start_time": "2023-11-07T01:22:16.722334Z" + } + }, + "id": "e886e061f86a2118" + }, + { + "cell_type": "code", + "execution_count": 49, + "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)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:19.351381Z", + "start_time": "2023-11-07T01:22:17.034813Z" + } + }, + "id": "23e4682fe9e30631" + }, + { + "cell_type": "code", + "execution_count": 50, + "outputs": [], + "source": [ + "# Add columns for the route number\n", + "df1['route'] = 1\n", + "df2['route'] = 2\n", + "df3['route'] = 3\n", + "\n", + "# Concatenate the three dataframes\n", + "df = pd.concat([df1, df2, df3], ignore_index=True)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:19.360710Z", + "start_time": "2023-11-07T01:22:19.355746Z" + } + }, + "id": "c3a5c5d6f3ac46c0" + }, + { + "cell_type": "code", + "execution_count": 51, + "outputs": [ + { + "data": { + "text/plain": " waypoint_index trips_index \\\n0 0 0 \n1 1 0 \n2 2 0 \n3 3 0 \n4 4 0 \n.. ... ... \n170 29 0 \n171 30 0 \n172 31 0 \n173 32 0 \n174 33 0 \n\n hint distance \\\n0 t4YsgAGHLIAAAAAAVQEAAAAAAAAwAAAAAAAAAHV0F0IAAA... 19.432511 \n1 e1kugJlZLoBmAAAA6QAAAAAAAAAAAAAAZ6M2QSewzkEAAA... 4.756158 \n2 tFkugHVaLoAOAAAAAAAAABgAAAAAAAAAwMG2QAAAAAB6ii... 4.525535 \n3 sJAugLOQLoBuAQAAlAEAAAAAAAAAAAAAHFcjQvEZM0IAAA... 7.844897 \n4 VREtgNlJBIBCAAAAYAAAAAAAAAARAAAAOOzeQU7vHkIAAA... 22.681980 \n.. ... ... \n170 gLshgIS7IYAAAAAAPAAAAAAAAAAAAAAAAAAAAPGU1UAAAA... 10.782119 \n171 e38hgIUAA4C6AgAAGQAAAAAAAAAAAAAA_DybQoNdJUEAAA... 6.310267 \n172 cX8hgJF_IYA1AAAAMAAAAGcAAABOAAAATyWxQQ77nUEHMC... 22.776295 \n173 s9QhgLbUIYAwAAAAkAAAAAAAAAAAAAAA2XmpQNgrgEEAAA... 4.111715 \n174 DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA... 0.236958 \n\n name location lat lon \\\n0 [-71.054865, 42.364361] -71.054865 42.364361 \n1 [-71.060933, 42.376178] -71.060933 42.376178 \n2 [-71.060753, 42.376391] -71.060753 42.376391 \n3 [-71.060948, 42.380436] -71.060948 42.380436 \n4 Factory Street [-71.061206, 42.398809] -71.061206 42.398809 \n.. ... ... ... ... \n170 [-71.10963, 42.336448] -71.109630 42.336448 \n171 Carmel Street [-71.100092, 42.332401] -71.100092 42.332401 \n172 Alleghany Street [-71.099348, 42.33047] -71.099348 42.330470 \n173 [-71.09454, 42.325354] -71.094540 42.325354 \n174 Northeastern (Inbound) [-71.090331, 42.339762] -71.090331 42.339762 \n\n route \n0 1 \n1 1 \n2 1 \n3 1 \n4 1 \n.. ... \n170 3 \n171 3 \n172 3 \n173 3 \n174 3 \n\n[175 rows x 9 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
waypoint_indextrips_indexhintdistancenamelocationlatlonroute
000t4YsgAGHLIAAAAAAVQEAAAAAAAAwAAAAAAAAAHV0F0IAAA...19.432511[-71.054865, 42.364361]-71.05486542.3643611
110e1kugJlZLoBmAAAA6QAAAAAAAAAAAAAAZ6M2QSewzkEAAA...4.756158[-71.060933, 42.376178]-71.06093342.3761781
220tFkugHVaLoAOAAAAAAAAABgAAAAAAAAAwMG2QAAAAAB6ii...4.525535[-71.060753, 42.376391]-71.06075342.3763911
330sJAugLOQLoBuAQAAlAEAAAAAAAAAAAAAHFcjQvEZM0IAAA...7.844897[-71.060948, 42.380436]-71.06094842.3804361
440VREtgNlJBIBCAAAAYAAAAAAAAAARAAAAOOzeQU7vHkIAAA...22.681980Factory Street[-71.061206, 42.398809]-71.06120642.3988091
..............................
170290gLshgIS7IYAAAAAAPAAAAAAAAAAAAAAAAAAAAPGU1UAAAA...10.782119[-71.10963, 42.336448]-71.10963042.3364483
171300e38hgIUAA4C6AgAAGQAAAAAAAAAAAAAA_DybQoNdJUEAAA...6.310267Carmel Street[-71.100092, 42.332401]-71.10009242.3324013
172310cX8hgJF_IYA1AAAAMAAAAGcAAABOAAAATyWxQQ77nUEHMC...22.776295Alleghany Street[-71.099348, 42.33047]-71.09934842.3304703
173320s9QhgLbUIYAwAAAAkAAAAAAAAAAAAAAA2XmpQNgrgEEAAA...4.111715[-71.09454, 42.325354]-71.09454042.3253543
174330DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...0.236958Northeastern (Inbound)[-71.090331, 42.339762]-71.09033142.3397623
\n

175 rows × 9 columns

\n
" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(df)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:19.375055Z", + "start_time": "2023-11-07T01:22:19.364517Z" + } + }, + "id": "17a8cc8fed5450a6" + }, + { + "cell_type": "markdown", + "source": [ + "## Map" + ], + "metadata": { + "collapsed": false + }, + "id": "b20a57aa09792c39" + }, + { + "cell_type": "code", + "execution_count": 52, + "outputs": [ + { + "data": { + "text/plain": "", + "text/html": "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + }, + "execution_count": 52, + "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" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:20.246243Z", + "start_time": "2023-11-07T01:22:20.167900Z" + } + }, + "id": "702adaec008a6ec8" + }, + { + "cell_type": "markdown", + "source": [ + "## Results" + ], + "metadata": { + "collapsed": false + }, + "id": "a947e49e27c734e9" + }, + { + "cell_type": "code", + "execution_count": 53, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Route 1 has 57 waypoints\n", + "Route 2 has 80 waypoints\n", + "Route 3 has 32 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))" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:21.994911Z", + "start_time": "2023-11-07T01:22:21.992304Z" + } + }, + "id": "4106acf2adad01d7" + }, + { + "cell_type": "code", + "execution_count": 54, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The trip will take 9.175 hours\n", + "The trip will take 9.341111111111111 hours\n", + "The trip will take 9.398333333333333 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))" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-07T01:22:25.544575Z", + "start_time": "2023-11-07T01:22:23.206069Z" + } + }, + "id": "c58106faf0fc7f4e" + }, + { + "cell_type": "code", + "execution_count": 46, "outputs": [], "source": [], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-11-07T00:08:24.471189Z", - "start_time": "2023-11-07T00:08:24.460431Z" + "end_time": "2023-11-07T01:18:42.067793Z", + "start_time": "2023-11-07T01:18:42.056069Z" } }, - "id": "eafe5678c44e94fd" + "id": "a2f10e3152b95a69" } ], "metadata": { -- cgit v1.2.3