From 36662ed9afffec57bc3ed0c79bccd3126d933fde Mon Sep 17 00:00:00 2001 From: itsGarrin Date: Sun, 5 Nov 2023 19:28:17 -0500 Subject: ZESTY AHHHHHHHHHH --- ZestySalesman.ipynb | 208 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 208 insertions(+) create mode 100644 ZestySalesman.ipynb (limited to 'ZestySalesman.ipynb') diff --git a/ZestySalesman.ipynb b/ZestySalesman.ipynb new file mode 100644 index 0000000..fb03d13 --- /dev/null +++ b/ZestySalesman.ipynb @@ -0,0 +1,208 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 62, + "id": "initial_id", + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:14.565659Z", + "start_time": "2023-11-06T00:26:14.551906Z" + } + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import requests\n", + "import folium" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "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", + "coordinate_string = '-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;-71.0851891,42.3500031;-71.1123834,42.3360385;-71.2273649,42.3145041;-71.0834061,42.341987;-71.0992038,42.3306454;-71.0990577,42.3381442;-71.0949218,42.3419564;-71.0942861,42.3413301;-71.0908104,42.329969;-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;-71.3598149,42.3140229;-71.1126695,42.3836229;-71.119149,42.3884;-71.0872846,42.2961434;-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;-71.0945712,42.3253252;-71.1122037,42.4008442'\n", + "coordinates = requests.get('http://acetyl.net:5000/trip/v1/bike/' + northeastern_coordinate + coordinate_string)\n", + "\n", + "coordinates = coordinates.json()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.268775Z", + "start_time": "2023-11-06T00:26:14.558083Z" + } + }, + "id": "aa618161182b5b07" + }, + { + "cell_type": "code", + "execution_count": 64, + "outputs": [], + "source": [ + "# Create a dataframe from the JSON\n", + "df = pd.DataFrame(coordinates['waypoints'])" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.278022Z", + "start_time": "2023-11-06T00:26:15.269158Z" + } + }, + "id": "32c485788eedd94" + }, + { + "cell_type": "code", + "execution_count": 65, + "outputs": [], + "source": [ + "# Separate the location column into lon and lat columns\n", + "df['lat'] = df['location'].apply(lambda x: x[0])\n", + "df['lon'] = df['location'].apply(lambda x: x[1])\n", + "\n", + "df['waypoint_index'] = df['waypoint_index'].astype(int)\n", + "\n", + "# Map out the waypoints in order of the waypoint index\n", + "df = df.sort_values(by=['waypoint_index'])" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.284313Z", + "start_time": "2023-11-06T00:26:15.275568Z" + } + }, + "id": "535ab02638d20cb2" + }, + { + "cell_type": "code", + "execution_count": 66, + "outputs": [ + { + "data": { + "text/plain": " waypoint_index trips_index \\\n0 0 0 \n14 1 0 \n60 2 0 \n46 3 0 \n16 4 0 \n.. ... ... \n61 59 0 \n15 60 0 \n19 61 0 \n31 62 0 \n62 63 0 \n\n hint distance \\\n0 DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA... 0.236958 \n14 lhgDgIkYA4BkAAAAIgEAAFoBAAAaAAAAJyAzQWNrAEI8Ax... 7.134933 \n60 tg0igLoNIoAOAAAAAAAAADwAAADtAQAA8CrBQAAAAACcrM... 17.496916 \n46 k4chgBiIIYAKAAAAFwAAAPQDAAB_AgAAHn2aP-biHUBi6e... 36.240351 \n16 rLwhgLG8IYAEAAAABQAAADAAAABsAAAA1X8CQHGb7D9Kz6... 24.054372 \n.. ... ... \n61 g38hgI1_IYBOAAAAfwAAAAAAAAAAAAAAZ4ECQsbEUkIAAA... 12.789906 \n15 cX8hgJF_IYA1AAAAMAAAAGcAAABOAAAATyWxQQ77nUEHMC... 22.776295 \n19 5tYhgJHXIYAIAAAArQAAADwAAABCAQAAaRlbQD16mUGpAc... 17.374491 \n31 WhEngAASJ4BcAAAAdwAAAHoBAAAFAAAAI3gkQQlZRUJLNi... 13.907079 \n62 s9QhgLbUIYAwAAAAkAAAAAAAAAAAAAAA2XmpQNgrgEEAAA... 4.111715 \n\n name location lat lon \n0 Northeastern (Inbound) [-71.090331, 42.339762] -71.090331 42.339762 \n14 [-71.083465, 42.34194] -71.083465 42.341940 \n60 Public Alley 901 [-71.089677, 42.346361] -71.089677 42.346361 \n46 [-71.093834, 42.339096] -71.093834 42.339096 \n16 [-71.099284, 42.338007] -71.099284 42.338007 \n.. ... ... ... ... \n61 Tremont Street [-71.098267, 42.332009] -71.098267 42.332009 \n15 Alleghany Street [-71.099348, 42.33047] -71.099348 42.330470 \n19 Dudley Street [-71.090904, 42.329829] -71.090904 42.329829 \n31 Blue Hill Avenue [-71.087449, 42.296172] -71.087449 42.296172 \n62 [-71.09454, 42.325354] -71.094540 42.325354 \n\n[64 rows x 8 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
waypoint_indextrips_indexhintdistancenamelocationlatlon
000DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...0.236958Northeastern (Inbound)[-71.090331, 42.339762]-71.09033142.339762
1410lhgDgIkYA4BkAAAAIgEAAFoBAAAaAAAAJyAzQWNrAEI8Ax...7.134933[-71.083465, 42.34194]-71.08346542.341940
6020tg0igLoNIoAOAAAAAAAAADwAAADtAQAA8CrBQAAAAACcrM...17.496916Public Alley 901[-71.089677, 42.346361]-71.08967742.346361
4630k4chgBiIIYAKAAAAFwAAAPQDAAB_AgAAHn2aP-biHUBi6e...36.240351[-71.093834, 42.339096]-71.09383442.339096
1640rLwhgLG8IYAEAAAABQAAADAAAABsAAAA1X8CQHGb7D9Kz6...24.054372[-71.099284, 42.338007]-71.09928442.338007
...........................
61590g38hgI1_IYBOAAAAfwAAAAAAAAAAAAAAZ4ECQsbEUkIAAA...12.789906Tremont Street[-71.098267, 42.332009]-71.09826742.332009
15600cX8hgJF_IYA1AAAAMAAAAGcAAABOAAAATyWxQQ77nUEHMC...22.776295Alleghany Street[-71.099348, 42.33047]-71.09934842.330470
196105tYhgJHXIYAIAAAArQAAADwAAABCAQAAaRlbQD16mUGpAc...17.374491Dudley Street[-71.090904, 42.329829]-71.09090442.329829
31620WhEngAASJ4BcAAAAdwAAAHoBAAAFAAAAI3gkQQlZRUJLNi...13.907079Blue Hill Avenue[-71.087449, 42.296172]-71.08744942.296172
62630s9QhgLbUIYAwAAAAkAAAAAAAAAAAAAAA2XmpQNgrgEEAAA...4.111715[-71.09454, 42.325354]-71.09454042.325354
\n

64 rows × 8 columns

\n
" + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.297169Z", + "start_time": "2023-11-06T00:26:15.287354Z" + } + }, + "id": "49dba1f17ca8337e" + }, + { + "cell_type": "code", + "execution_count": 67, + "outputs": [ + { + "data": { + "text/plain": "", + "text/html": "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + }, + "execution_count": 67, + "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 a marker for each waypoint and connect with a line as the salesman would travel\n", + "for i in range(len(df)):\n", + " folium.Marker([df.iloc[i]['lon'], df.iloc[i]['lat']], popup=df.iloc[i]['name']).add_to(m)\n", + " if i < len(df) - 1:\n", + " folium.PolyLine([[df.iloc[i]['lon'], df.iloc[i]['lat']], [df.iloc[i + 1]['lon'], df.iloc[i + 1]['lat']]],\n", + " color=\"red\", weight=2.5, opacity=1).add_to(m)\n", + "\n", + "# Display the map\n", + "m" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.360267Z", + "start_time": "2023-11-06T00:26:15.298760Z" + } + }, + "id": "80fd847da2833913" + }, + { + "cell_type": "code", + "execution_count": 68, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The trip will take 10.198055555555555 hours\n" + ] + } + ], + "source": [ + "trip_hrs = int(coordinates['trips'][0]['duration'])/3600\n", + "print(\"The trip will take {} hours\".format(trip_hrs))" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.360383Z", + "start_time": "2023-11-06T00:26:15.353591Z" + } + }, + "id": "a3ec09dfb5cbb5b3" + }, + { + "cell_type": "code", + "execution_count": 68, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-11-06T00:26:15.360410Z", + "start_time": "2023-11-06T00:26:15.355568Z" + } + }, + "id": "be94c3708a1bd250" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} -- cgit v1.2.3