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|
{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:16.767323Z",
"start_time": "2023-11-06T01:23:16.761053Z"
}
},
"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,
"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'"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:16.774149Z",
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}
},
"id": "aa618161182b5b07"
},
{
"cell_type": "code",
"execution_count": 12,
"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)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:18.694403Z",
"start_time": "2023-11-06T01:23:16.768656Z"
}
},
"id": "32c485788eedd94"
},
{
"cell_type": "code",
"execution_count": 13,
"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)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:18.698699Z",
"start_time": "2023-11-06T01:23:18.696008Z"
}
},
"id": "49dba1f17ca8337e"
},
{
"cell_type": "code",
"execution_count": 14,
"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": "<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>waypoint_index</th>\n <th>trips_index</th>\n <th>hint</th>\n <th>distance</th>\n <th>name</th>\n <th>location</th>\n <th>lat</th>\n <th>lon</th>\n <th>route</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>0</td>\n <td>0</td>\n <td>DoUhgBeFIYCcAAAAJgAAAAAAAAARAAAAm0CKQdkZiEAAAA...</td>\n <td>0.236958</td>\n <td>Northeastern (Inbound)</td>\n <td>[-71.090331, 42.339762]</td>\n <td>-71.090331</td>\n <td>42.339762</td>\n <td>2</td>\n </tr>\n <tr>\n <th>17</th>\n <td>1</td>\n <td>0</td>\n <td>5tYhgJHXIYAIAAAArQAAADwAAABCAQAAaRlbQD16mUGpAc...</td>\n <td>17.374491</td>\n <td>Dudley Street</td>\n <td>[-71.090904, 42.329829]</td>\n <td>-71.090904</td>\n <td>42.329829</td>\n <td>2</td>\n </tr>\n <tr>\n <th>22</th>\n <td>2</td>\n <td>0</td>\n <td>XAAigHIAIoBKAAAASwAAAFUAAABDAQAARGUEQURlBEG2ZR...</td>\n <td>11.054154</td>\n <td></td>\n <td>[-71.071196, 42.34085]</td>\n <td>-71.071196</td>\n <td>42.340850</td>\n <td>2</td>\n </tr>\n <tr>\n <th>73</th>\n <td>3</td>\n <td>0</td>\n <td>CdQhgB0OA4AYAAAAHgAAADkAAAAAAAAALdMlQdSMQ0Fd0r...</td>\n <td>10.970598</td>\n <td></td>\n <td>[-71.066844, 42.327134]</td>\n <td>-71.066844</td>\n <td>42.327134</td>\n <td>2</td>\n </tr>\n <tr>\n <th>11</th>\n <td>4</td>\n <td>0</td>\n <td>43YhgPN2IYA1AAAAJAAAAAAAAAA5AAAAEha0QWgpbEEAAA...</td>\n <td>18.896385</td>\n <td>Lucy Street</td>\n <td>[-71.06221, 42.324934]</td>\n <td>-71.062210</td>\n <td>42.324934</td>\n <td>2</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>3</th>\n <td>70</td>\n <td>0</td>\n <td>jt4hgJLeIYA7AAAALQAAAAAAAAAAAAAA4gPGQasVlUEAAA...</td>\n <td>4.709088</td>\n <td></td>\n <td>[-71.075414, 42.356537]</td>\n <td>-71.075414</td>\n <td>42.356537</td>\n <td>2</td>\n </tr>\n <tr>\n <th>12</th>\n <td>71</td>\n <td>0</td>\n <td>0OEhgPvhIYADAAAABgAAAA8AAAA0AAAA2lq-PipQFD-Y-N...</td>\n <td>2.009578</td>\n <td></td>\n <td>[-71.085166, 42.349997]</td>\n <td>-71.085166</td>\n <td>42.349997</td>\n <td>2</td>\n </tr>\n <tr>\n <th>9</th>\n <td>72</td>\n <td>0</td>\n <td>m8shgJ7LIYAOAAAAXgEAAAAAAAAAAAAAOFW-QDE5G0IAAA...</td>\n <td>1.716409</td>\n <td>Piedmont Street</td>\n <td>[-71.067854, 42.349993]</td>\n <td>-71.067854</td>\n <td>42.349993</td>\n <td>2</td>\n </tr>\n <tr>\n <th>8</th>\n <td>73</td>\n <td>0</td>\n <td>YQ0DgBTPIYDvAAAAdAAAAAAAAAAAAAAAsgLVQbMxTUEAAA...</td>\n <td>4.830022</td>\n <td></td>\n <td>[-71.072038, 42.348915]</td>\n <td>-71.072038</td>\n <td>42.348915</td>\n <td>2</td>\n </tr>\n <tr>\n <th>14</th>\n <td>74</td>\n <td>0</td>\n <td>lhgDgIkYA4BkAAAAIgEAAFoBAAAaAAAAJyAzQWNrAEI8Ax...</td>\n <td>7.134933</td>\n <td></td>\n <td>[-71.083465, 42.34194]</td>\n <td>-71.083465</td>\n <td>42.341940</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n<p>75 rows × 9 columns</p>\n</div>"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(df2)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:18.708601Z",
"start_time": "2023-11-06T01:23:18.705324Z"
}
},
"id": "f231d9a35358988c"
},
{
"cell_type": "code",
"execution_count": 15,
"outputs": [
{
"data": {
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"text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"<!DOCTYPE html>\n<html>\n<head>\n \n <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n \n <script>\n L_NO_TOUCH = false;\n L_DISABLE_3D = false;\n </script>\n \n <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n <script src="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js"></script>\n <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>\n <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js"></script>\n <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n <link rel="stylesheet" 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<div class="folium-map" id="map_aeeac5a1da4c82f72a6ebc2ad6ef0a4f" ></div>\n \n</body>\n<script>\n \n \n var map_aeeac5a1da4c82f72a6ebc2ad6ef0a4f = L.map(\n "map_aeeac5a1da4c82f72a6ebc2ad6ef0a4f",\n {\n center: [42.35001216666666, -71.08118491666666],\n crs: L.CRS.EPSG3857,\n zoom: 11,\n zoomControl: true,\n preferCanvas: false,\n }\n );\n\n \n\n \n \n var tile_layer_08dc74215528cd704be20c65b57a115c = L.tileLayer(\n "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n ).addTo(map_aeeac5a1da4c82f72a6ebc2ad6ef0a4f);\n \n \n var poly_line_47b67187819704b042ea970e5214ffbc = L.polyline(\n 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},
"execution_count": 15,
"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(m)\n",
"\n",
"# Display the map\n",
"m"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:18.781393Z",
"start_time": "2023-11-06T01:23:18.709803Z"
}
},
"id": "80fd847da2833913"
},
{
"cell_type": "code",
"execution_count": 16,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The trip will take 6.789722222222222 hours\n",
"The trip will take 9.955833333333333 hours\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))"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:20.448487Z",
"start_time": "2023-11-06T01:23:18.761079Z"
}
},
"id": "a3ec09dfb5cbb5b3"
},
{
"cell_type": "code",
"execution_count": 17,
"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"
]
}
],
"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)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:20.460791Z",
"start_time": "2023-11-06T01:23:20.456599Z"
}
},
"id": "21fef07e5b2a03a0"
},
{
"cell_type": "code",
"execution_count": 18,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-06T01:23:20.460900Z",
"start_time": "2023-11-06T01:23:20.458522Z"
}
},
"id": "eafe5678c44e94fd"
}
],
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"display_name": "Python 3",
"language": "python",
"name": "python3"
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"file_extension": ".py",
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|
