{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction: Plotting Bus Stops as Connected Graphs\n", "\n", "Using real-world data for learning graphs. The most effective way to learn is to apply a topic to actual data!" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# import geopandas as gpd\n", "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['.ipynb_checkpoints',\n", " 'Bus Stop Shelters',\n", " 'Bus_Stop_Shelter.csv',\n", " 'Chapter2-Graphs.ipynb',\n", " 'Chapter3-SmallWorldGraphs.ipynb',\n", " 'Graphing Bus Stops.ipynb',\n", " 'gtfs',\n", " 'routes_bk_bus_may2016.shp',\n", " 'routes_bk_bus_may2016.shx']" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os; os.listdir('.')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 3428 entries, 0 to 3427\n", "Data columns (total 18 columns):\n", "CounDist 3428 non-null int64\n", "BoroCD 3428 non-null int64\n", "AssemDist 3428 non-null int64\n", "the_geom 3428 non-null object\n", "CongDist 3428 non-null int64\n", "StSenDist 3428 non-null int64\n", "SHELTER_ID 3428 non-null object\n", "LOCATION 3428 non-null object\n", "AT_BETWEEN 3428 non-null object\n", "LONGITUDE 3428 non-null float64\n", "LATITUDE 3428 non-null float64\n", "AssetID 3428 non-null int64\n", "BoroCode 3428 non-null int64\n", "BoroName 3428 non-null object\n", "Street 3424 non-null object\n", "SegmentID 3424 non-null float64\n", "PhysicalID 3428 non-null int64\n", "NODEID 3428 non-null int64\n", "dtypes: float64(3), int64(9), object(6)\n", "memory usage: 482.1+ KB\n" ] } ], "source": [ "bus_stops = pd.read_csv('Bus_Stop_Shelter.csv')\n", "bus_stops.info()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "px.scatter(bus_stops, 'LONGITUDE', 'LATITUDE')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "import geopandas as gpd\n", "\n", "gdf = gpd.read_file('Bus Stop Shelters/geo_export_513a402e-f182-4e3d-8b3c-554c8832cd37.shp')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ], "text/plain": [ " geometry\n", "0 (LINESTRING (977832.7128473927 174446.67253289...\n", "1 LINESTRING (999030.4704292536 169521.382392126...\n", "2 (LINESTRING (994862.7787852731 177886.76567876...\n", "3 LINESTRING (1011842.844818904 185860.749724113...\n", "4 LINESTRING (1018405.33170186 177109.3672240779..." ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bus_routes = gpd.read_file('routes_bk_bus_may2016.shp')\n", "bus_routes.head()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "bus_routes.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Working with gtfs data\n", "\n", "Let's try another approach. This time we will attempt to link together the stations on the same routes." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['agency.txt',\n", " 'calendar.txt',\n", " 'calendar_dates.txt',\n", " 'routes.txt',\n", " 'shapes.txt',\n", " 'stops.txt',\n", " 'stop_times.txt',\n", " 'trips.txt']" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os; os.listdir('gtfs')" ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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route_idagency_idroute_short_nameroute_long_nameroute_descroute_typeroute_urlroute_colorroute_text_color
85QM7MTABCQM7Fresh Meadows - DowntownVia 188Th St / Union Turnpike3http://web.mta.info/busco/schedules/qm007cur.pdf00933CFFFFFF
86QM8MTABCQM8Glen Oaks - DowntownVia Little Neck Pkwy / H H Expwy / 73 Av3http://web.mta.info/busco/schedules/qm007cur.pdf00933CFFFFFF
87Q52+MTABCQ52-SBSElmhurst - ArverneVia Woodhaven Blvd / Cross Bay Blvd3http://web.mta.info/busco/schedules/q052scur.pdfFAA61AFFFFFF
88Q53+MTABCQ53-SBSWoodside - Rockaway ParkVia Broadway /Queens Blvd / Woodhaven Blvd / C...3http://web.mta.info/busco/schedules/q052scur.pdfFAA61AFFFFFF
89Q70+MTABCQ70-SBSLaGuardia LinkWoodside LIRR, Jackson Heights E F M R 7 Subwa...3http://web.mta.info/busco/schedules/q070scur.pdfEE352EFFFFFF
\n", "
" ], "text/plain": [ " route_id agency_id route_short_name route_long_name \\\n", "85 QM7 MTABC QM7 Fresh Meadows - Downtown \n", "86 QM8 MTABC QM8 Glen Oaks - Downtown \n", "87 Q52+ MTABC Q52-SBS Elmhurst - Arverne \n", "88 Q53+ MTABC Q53-SBS Woodside - Rockaway Park \n", "89 Q70+ MTABC Q70-SBS LaGuardia Link \n", "\n", " route_desc route_type \\\n", "85 Via 188Th St / Union Turnpike 3 \n", "86 Via Little Neck Pkwy / H H Expwy / 73 Av 3 \n", "87 Via Woodhaven Blvd / Cross Bay Blvd 3 \n", "88 Via Broadway /Queens Blvd / Woodhaven Blvd / C... 3 \n", "89 Woodside LIRR, Jackson Heights E F M R 7 Subwa... 3 \n", "\n", " route_url route_color \\\n", "85 http://web.mta.info/busco/schedules/qm007cur.pdf 00933C \n", "86 http://web.mta.info/busco/schedules/qm007cur.pdf 00933C \n", "87 http://web.mta.info/busco/schedules/q052scur.pdf FAA61A \n", "88 http://web.mta.info/busco/schedules/q052scur.pdf FAA61A \n", "89 http://web.mta.info/busco/schedules/q070scur.pdf EE352E \n", "\n", " route_text_color \n", "85 FFFFFF \n", "86 FFFFFF \n", "87 FFFFFF \n", "88 FFFFFF \n", "89 FFFFFF " ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" } ], "source": [ "routes = pd.read_csv('gtfs/routes.txt')\n", "routes.tail()" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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stop_idstop_namestop_descstop_latstop_lon
3607985005S BROADWAY/NEW MAIN STS BROADWAY & NEW MAIN ST40.933637-73.897818
3608985006S BROADWAY/PROSPECT AVS BROADWAY & PROSPECT AV40.932045-73.899141
3609985007S BROADWAY/McLEAN AVS BROADWAY & McLEAN AV40.920549-73.896247
3610985008S BROADWAY/VARK STS BROADWAY & VARK ST40.928762-73.896532
3611985009S BROADWAY/RADFORD STS BROADWAY & RADFORD ST40.917289-73.896847
\n", "
" ], "text/plain": [ " stop_id stop_name stop_desc stop_lat \\\n", "3607 985005 S BROADWAY/NEW MAIN ST S BROADWAY & NEW MAIN ST 40.933637 \n", "3608 985006 S BROADWAY/PROSPECT AV S BROADWAY & PROSPECT AV 40.932045 \n", "3609 985007 S BROADWAY/McLEAN AV S BROADWAY & McLEAN AV 40.920549 \n", "3610 985008 S BROADWAY/VARK ST S BROADWAY & VARK ST 40.928762 \n", "3611 985009 S BROADWAY/RADFORD ST S BROADWAY & RADFORD ST 40.917289 \n", "\n", " stop_lon \n", "3607 -73.897818 \n", "3608 -73.899141 \n", "3609 -73.896247 \n", "3610 -73.896532 \n", "3611 -73.896847 " ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stops = pd.read_csv('gtfs/stops.txt')\n", "stops.tail()" ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [], "source": [ "from shapely import geometry\n", "\n", "stop_points = [geometry.Point(lon, lat) for lon, lat in zip(stops['stop_lon'], stops['stop_lat'])]\n", "stops['geometry'] = stop_points" ] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "import geopandas as gpd\n", "\n", "ax = gpd.GeoDataFrame(stops).plot(figsize=(12, 10))" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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stop_idstop_namestop_descstop_latstop_longeometry
0100025GRAND CONCOURSE/E 161 STGRAND CONCOURSE & E 161 ST40.826617-73.922643POINT (-73.92264300000001 40.826617)
1100027GRAND CONCOURSE/E 165 STGRAND CONCOURSE & E 165 ST40.831320-73.919940POINT (-73.91994 40.83132)
2100033GRAND CONCOURSE/MT EDEN AVGRAND CONCOURSE & MT EDEN AV40.843405-73.911639POINT (-73.91163900000001 40.843405)
3100039GRAND CONCOURSE/E BURNSIDE AVGRAND CONCOURSE & E BURNSIDE AV40.852124-73.903580POINT (-73.90358000000001 40.852124)
4100045GRAND CONCOURSE/E FORDHAM RDGRAND CONCOURSE & E FORDHAM RD40.862958-73.896434POINT (-73.896434 40.862958)
\n", "
" ], "text/plain": [ " stop_id stop_name stop_desc \\\n", "0 100025 GRAND CONCOURSE/E 161 ST GRAND CONCOURSE & E 161 ST \n", "1 100027 GRAND CONCOURSE/E 165 ST GRAND CONCOURSE & E 165 ST \n", "2 100033 GRAND CONCOURSE/MT EDEN AV GRAND CONCOURSE & MT EDEN AV \n", "3 100039 GRAND CONCOURSE/E BURNSIDE AV GRAND CONCOURSE & E BURNSIDE AV \n", "4 100045 GRAND CONCOURSE/E FORDHAM RD GRAND CONCOURSE & E FORDHAM RD \n", "\n", " stop_lat stop_lon geometry \n", "0 40.826617 -73.922643 POINT (-73.92264300000001 40.826617) \n", "1 40.831320 -73.919940 POINT (-73.91994 40.83132) \n", "2 40.843405 -73.911639 POINT (-73.91163900000001 40.843405) \n", "3 40.852124 -73.903580 POINT (-73.90358000000001 40.852124) \n", "4 40.862958 -73.896434 POINT (-73.896434 40.862958) " ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stops.head()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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route_idagency_idroute_short_nameroute_long_nameroute_descroute_typeroute_urlroute_colorroute_text_color
0Q06MTABCQ6Sutphin BoulevardVia Sutphin Blvd / Rockaway Blvd3http://web.mta.info/busco/schedules/q006cur.pdfB933ADFFFFFF
1Q07MTABCQ7Rockaway BoulevardVia Rockaway Blvd3http://web.mta.info/busco/schedules/q007cur.pdf6CBE45FFFFFF
2Q08MTABCQ8101St AvenueVia 101St Av3http://web.mta.info/busco/schedules/q008cur.pdfB933ADFFFFFF
3Q09MTABCQ9Lincoln StreetVia Van Wyck Expwy / 135Th St / Lincoln St3http://web.mta.info/busco/schedules/q009cur.pdfB933ADFFFFFF
4Q10MTABCQ10Kew Gardens - Jfk AirportVia Lefferts Blvd3http://web.mta.info/busco/schedules/q010cur.pdfFAA61AFFFFFF
\n", "
" ], "text/plain": [ " route_id agency_id route_short_name route_long_name \\\n", "0 Q06 MTABC Q6 Sutphin Boulevard \n", "1 Q07 MTABC Q7 Rockaway Boulevard \n", "2 Q08 MTABC Q8 101St Avenue \n", "3 Q09 MTABC Q9 Lincoln Street \n", "4 Q10 MTABC Q10 Kew Gardens - Jfk Airport \n", "\n", " route_desc route_type \\\n", "0 Via Sutphin Blvd / Rockaway Blvd 3 \n", "1 Via Rockaway Blvd 3 \n", "2 Via 101St Av 3 \n", "3 Via Van Wyck Expwy / 135Th St / Lincoln St 3 \n", "4 Via Lefferts Blvd 3 \n", "\n", " route_url route_color \\\n", "0 http://web.mta.info/busco/schedules/q006cur.pdf B933AD \n", "1 http://web.mta.info/busco/schedules/q007cur.pdf 6CBE45 \n", "2 http://web.mta.info/busco/schedules/q008cur.pdf B933AD \n", "3 http://web.mta.info/busco/schedules/q009cur.pdf B933AD \n", "4 http://web.mta.info/busco/schedules/q010cur.pdf FAA61A \n", "\n", " route_text_color \n", "0 FFFFFF \n", "1 FFFFFF \n", "2 FFFFFF \n", "3 FFFFFF \n", "4 FFFFFF " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "routes.head()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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route_idservice_idtrip_idtrip_headsigndirection_idblock_idshape_id
43626B103SCPB9-SC_B9-Weekday-10-SDon23564301-SCPB9-SC_B9-Weekday-10-SDonLIMITED CANARSIE - WILLIAMS AVE via AVENUE H v...04519010B1030139
43627B103SCPB9-SC_B9-Weekday-10-SDon23564304-SCPB9-SC_B9-Weekday-10-SDonLIMITED CANARSIE - WILLIAMS AVE via AVENUE H v...04519011B1030140
43628B103SCPB9-SC_B9-Weekday-10-SDon23564306-SCPB9-SC_B9-Weekday-10-SDonLIMITED CANARSIE - WILLIAMS AVE via AVENUE H v...04519011B1030140
43629B103SCPB9-SC_B9-Weekday-10-SDon23564307-SCPB9-SC_B9-Weekday-10-SDonLIMITED DOWNTOWN BKLYN - TILLARY ST via AVENUE...14519011B1030152
43630B103SCPB9-SC_B9-Weekday-10-SDon23564308-SCPB9-SC_B9-Weekday-10-SDonLIMITED CANARSIE - WILLIAMS AVE via AVENUE H v...04519011B1030139
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" ], "text/plain": [ " route_id service_id \\\n", "43626 B103 SCPB9-SC_B9-Weekday-10-SDon \n", "43627 B103 SCPB9-SC_B9-Weekday-10-SDon \n", "43628 B103 SCPB9-SC_B9-Weekday-10-SDon \n", "43629 B103 SCPB9-SC_B9-Weekday-10-SDon \n", "43630 B103 SCPB9-SC_B9-Weekday-10-SDon \n", "\n", " trip_id \\\n", "43626 23564301-SCPB9-SC_B9-Weekday-10-SDon \n", "43627 23564304-SCPB9-SC_B9-Weekday-10-SDon \n", "43628 23564306-SCPB9-SC_B9-Weekday-10-SDon \n", "43629 23564307-SCPB9-SC_B9-Weekday-10-SDon \n", "43630 23564308-SCPB9-SC_B9-Weekday-10-SDon \n", "\n", " trip_headsign direction_id \\\n", "43626 LIMITED CANARSIE - WILLIAMS AVE via AVENUE H v... 0 \n", "43627 LIMITED CANARSIE - WILLIAMS AVE via AVENUE H v... 0 \n", "43628 LIMITED CANARSIE - WILLIAMS AVE via AVENUE H v... 0 \n", "43629 LIMITED DOWNTOWN BKLYN - TILLARY ST via AVENUE... 1 \n", "43630 LIMITED CANARSIE - WILLIAMS AVE via AVENUE H v... 0 \n", "\n", " block_id shape_id \n", "43626 4519010 B1030139 \n", "43627 4519011 B1030140 \n", "43628 4519011 B1030140 \n", "43629 4519011 B1030152 \n", "43630 4519011 B1030139 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trips = pd.read_csv('gtfs/trips.txt')\n", "trips.tail()" ] }, { "cell_type": "code", "execution_count": 132, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trip_idarrival_timedeparture_timestop_idstop_sequencepickup_typedrop_off_type
023617854-BPPB9-BP_B9-Weekday-1000:00:0000:00:00551840100
123617854-BPPB9-BP_B9-Weekday-1000:00:2900:00:29551841200
223617854-BPPB9-BP_B9-Weekday-1000:01:0000:01:00551843300
323617854-BPPB9-BP_B9-Weekday-1000:01:2400:01:24551844400
423617854-BPPB9-BP_B9-Weekday-1000:01:5800:01:58551834500
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" ], "text/plain": [ " trip_id arrival_time departure_time stop_id \\\n", "0 23617854-BPPB9-BP_B9-Weekday-10 00:00:00 00:00:00 551840 \n", "1 23617854-BPPB9-BP_B9-Weekday-10 00:00:29 00:00:29 551841 \n", "2 23617854-BPPB9-BP_B9-Weekday-10 00:01:00 00:01:00 551843 \n", "3 23617854-BPPB9-BP_B9-Weekday-10 00:01:24 00:01:24 551844 \n", "4 23617854-BPPB9-BP_B9-Weekday-10 00:01:58 00:01:58 551834 \n", "\n", " stop_sequence pickup_type drop_off_type \n", "0 1 0 0 \n", "1 2 0 0 \n", "2 3 0 0 \n", "3 4 0 0 \n", "4 5 0 0 " ] }, "execution_count": 132, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tt = pd.read_csv('gtfs/stop_times.txt')\n", "tt.head()" ] }, { "cell_type": "code", "execution_count": 133, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trip_idarrival_timedeparture_timestop_idstop_sequencepickup_typedrop_off_typestop_namestop_descstop_latstop_longeometryroute_idservice_idtrip_headsigndirection_idblock_idshape_id
26724622602444-SCPA9-SC_A9-Saturday-1006:00:0006:00:0035001910156 DR / STRICKLAND AV56 DR & STRICKLAND AV40.608660-73.913789POINT (-73.91378900000001 40.60866)BM1SCPA9-SC_A9-Saturday-10MIDTOWN - 57 ST via CHURCH ST - via MADISON AV14342564BM10140
26724722602444-SCPA9-SC_A9-Saturday-1006:00:1306:00:1335001720156 DR / E 63 ST56 DR & E 63 ST40.607860-73.912909POINT (-73.912909 40.60786)BM1SCPA9-SC_A9-Saturday-10MIDTOWN - 57 ST via CHURCH ST - via MADISON AV14342564BM10140
26724822602444-SCPA9-SC_A9-Saturday-1006:00:4006:00:4035001830156 DR / E 66 ST56 DR & E 66 ST40.606229-73.911084POINT (-73.911084 40.606229)BM1SCPA9-SC_A9-Saturday-10MIDTOWN - 57 ST via CHURCH ST - via MADISON AV14342564BM10140
26724922602444-SCPA9-SC_A9-Saturday-1006:01:0306:01:03350090401E 66 ST / DAKOTA PLE 66 ST & DAKOTA PL40.607205-73.909075POINT (-73.909075 40.607205)BM1SCPA9-SC_A9-Saturday-10MIDTOWN - 57 ST via CHURCH ST - via MADISON AV14342564BM10140
26725022602444-SCPA9-SC_A9-Saturday-1006:01:3806:01:38350089501E 66 ST / BASSETT AVE 66 ST & BASSETT AV40.609603-73.907077POINT (-73.907077 40.609603)BM1SCPA9-SC_A9-Saturday-10MIDTOWN - 57 ST via CHURCH ST - via MADISON AV14342564BM10140
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" ], "text/plain": [ " trip_id arrival_time departure_time stop_id \\\n", "267246 22602444-SCPA9-SC_A9-Saturday-10 06:00:00 06:00:00 350019 \n", "267247 22602444-SCPA9-SC_A9-Saturday-10 06:00:13 06:00:13 350017 \n", "267248 22602444-SCPA9-SC_A9-Saturday-10 06:00:40 06:00:40 350018 \n", "267249 22602444-SCPA9-SC_A9-Saturday-10 06:01:03 06:01:03 350090 \n", "267250 22602444-SCPA9-SC_A9-Saturday-10 06:01:38 06:01:38 350089 \n", "\n", " stop_sequence pickup_type drop_off_type stop_name \\\n", "267246 1 0 1 56 DR / STRICKLAND AV \n", "267247 2 0 1 56 DR / E 63 ST \n", "267248 3 0 1 56 DR / E 66 ST \n", "267249 4 0 1 E 66 ST / DAKOTA PL \n", "267250 5 0 1 E 66 ST / BASSETT AV \n", "\n", " stop_desc stop_lat stop_lon \\\n", "267246 56 DR & STRICKLAND AV 40.608660 -73.913789 \n", "267247 56 DR & E 63 ST 40.607860 -73.912909 \n", "267248 56 DR & E 66 ST 40.606229 -73.911084 \n", "267249 E 66 ST & DAKOTA PL 40.607205 -73.909075 \n", "267250 E 66 ST & BASSETT AV 40.609603 -73.907077 \n", "\n", " geometry route_id service_id \\\n", "267246 POINT (-73.91378900000001 40.60866) BM1 SCPA9-SC_A9-Saturday-10 \n", "267247 POINT (-73.912909 40.60786) BM1 SCPA9-SC_A9-Saturday-10 \n", "267248 POINT (-73.911084 40.606229) BM1 SCPA9-SC_A9-Saturday-10 \n", "267249 POINT (-73.909075 40.607205) BM1 SCPA9-SC_A9-Saturday-10 \n", "267250 POINT (-73.907077 40.609603) BM1 SCPA9-SC_A9-Saturday-10 \n", "\n", " trip_headsign direction_id \\\n", "267246 MIDTOWN - 57 ST via CHURCH ST - via MADISON AV 1 \n", "267247 MIDTOWN - 57 ST via CHURCH ST - via MADISON AV 1 \n", "267248 MIDTOWN - 57 ST via CHURCH ST - via MADISON AV 1 \n", "267249 MIDTOWN - 57 ST via CHURCH ST - via MADISON AV 1 \n", "267250 MIDTOWN - 57 ST via CHURCH ST - via MADISON AV 1 \n", "\n", " block_id shape_id \n", "267246 4342564 BM10140 \n", "267247 4342564 BM10140 \n", "267248 4342564 BM10140 \n", "267249 4342564 BM10140 \n", "267250 4342564 BM10140 " ] }, "execution_count": 133, "metadata": {}, "output_type": "execute_result" } ], "source": [ "paths = tt.merge(stops, on='stop_id')\n", "paths = paths.merge(trips, on='trip_id')\n", "paths = paths.sort_values(['trip_id', 'stop_sequence'])\n", "paths.head()" ] }, { "cell_type": "code", "execution_count": 145, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trip_idarrival_timedeparture_timestop_idstop_sequencepickup_typedrop_off_typestop_namestop_descstop_latstop_longeometryroute_idservice_idtrip_headsigndirection_idblock_idshape_id
1223617854-BPPB9-BP_B9-Weekday-1000:05:3600:05:365518171300JEWEL AV/PARK DR EJEWEL AV & PARK DR E40.728112-73.831637POINT (-73.831637 40.728112)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
1323617854-BPPB9-BP_B9-Weekday-1000:07:2800:07:28551847140069 RD/112 ST69 RD & 112 ST40.725655-73.840949POINT (-73.84094899999999 40.725655)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
1423617854-BPPB9-BP_B9-Weekday-1000:07:5500:07:55551848150069 RD/110 ST69 RD & 110 ST40.725008-73.843170POINT (-73.84317 40.725008)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
1523617854-BPPB9-BP_B9-Weekday-1000:08:2200:08:225509571600108 ST/69 RD108 ST & 69 RD40.724161-73.845184POINT (-73.845184 40.724161)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
1623617854-BPPB9-BP_B9-Weekday-1000:09:0000:09:009820871700108 ST/QUEENS BL108 ST & QUEENS BL40.721815-73.843925POINT (-73.843925 40.721815)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
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" ], "text/plain": [ " trip_id arrival_time departure_time stop_id \\\n", "12 23617854-BPPB9-BP_B9-Weekday-10 00:05:36 00:05:36 551817 \n", "13 23617854-BPPB9-BP_B9-Weekday-10 00:07:28 00:07:28 551847 \n", "14 23617854-BPPB9-BP_B9-Weekday-10 00:07:55 00:07:55 551848 \n", "15 23617854-BPPB9-BP_B9-Weekday-10 00:08:22 00:08:22 550957 \n", "16 23617854-BPPB9-BP_B9-Weekday-10 00:09:00 00:09:00 982087 \n", "\n", " stop_sequence pickup_type drop_off_type stop_name \\\n", "12 13 0 0 JEWEL AV/PARK DR E \n", "13 14 0 0 69 RD/112 ST \n", "14 15 0 0 69 RD/110 ST \n", "15 16 0 0 108 ST/69 RD \n", "16 17 0 0 108 ST/QUEENS BL \n", "\n", " stop_desc stop_lat stop_lon \\\n", "12 JEWEL AV & PARK DR E 40.728112 -73.831637 \n", "13 69 RD & 112 ST 40.725655 -73.840949 \n", "14 69 RD & 110 ST 40.725008 -73.843170 \n", "15 108 ST & 69 RD 40.724161 -73.845184 \n", "16 108 ST & QUEENS BL 40.721815 -73.843925 \n", "\n", " geometry route_id service_id \\\n", "12 POINT (-73.831637 40.728112) Q64 BPPB9-BP_B9-Weekday-10 \n", "13 POINT (-73.84094899999999 40.725655) Q64 BPPB9-BP_B9-Weekday-10 \n", "14 POINT (-73.84317 40.725008) Q64 BPPB9-BP_B9-Weekday-10 \n", "15 POINT (-73.845184 40.724161) Q64 BPPB9-BP_B9-Weekday-10 \n", "16 POINT (-73.843925 40.721815) Q64 BPPB9-BP_B9-Weekday-10 \n", "\n", " trip_headsign direction_id block_id \\\n", "12 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "13 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "14 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "15 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "16 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "\n", " shape_id \n", "12 Q640095 \n", "13 Q640095 \n", "14 Q640095 \n", "15 Q640095 \n", "16 Q640095 " ] }, "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trip = paths[paths['trip_id'] == paths['trip_id'][0]]\n", "trip.tail()" ] }, { "cell_type": "code", "execution_count": 146, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 146, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(paths.groupby(['trip_id'])['route_id'].nunique() == 1).all()" ] }, { "cell_type": "code", "execution_count": 147, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['BM1', 'BM3', 'BM2', 'BM4', 'BM5', 'B100', 'B103', 'Q08', 'Q09',\n", " 'Q52+', 'Q60', 'Q06', 'Q10', 'Q07', 'Q40', 'Q37', 'Q41', 'Q11',\n", " 'Q35', 'Q21', 'Q22', 'QM15', 'QM18', 'QM17', 'QM16', 'Q23', 'Q19',\n", " 'QM36', 'QM35', 'QM32', 'QM42', 'QM40', 'QM31', 'QM5', 'QM1',\n", " 'Q65', 'Q25', 'Q66', 'QM6', 'QM11', 'Q38', 'QM3', 'QM7', 'QM8',\n", " 'QM12', 'QM10', 'QM2', 'QM20', 'BXM9', 'Q34', 'Q53+', 'Q101',\n", " 'Q33', 'Q104', 'Q18', 'Q29', 'Q39', 'Q47', 'Q49', 'Q67', 'Q69',\n", " 'Q72', 'Q100', 'Q70+', 'Q103', 'Q102', 'QM34', 'QM25', 'QM24',\n", " 'Q50', 'BX23', 'BXM10', 'BXM6', 'BXM7', 'BXM8', 'BXM2', 'BXM11',\n", " 'BXM18', 'BXM4', 'BXM3', 'BXM1', 'Q64', 'Q110', 'Q112', 'Q111',\n", " 'Q114', 'Q113', 'QM4', 'QM21', 'QM44'], dtype=object)" ] }, "execution_count": 147, "metadata": {}, "output_type": "execute_result" } ], "source": [ "paths['route_id'].unique()" ] }, { "cell_type": "code", "execution_count": 149, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trip_idarrival_timedeparture_timestop_idstop_sequencepickup_typedrop_off_typestop_namestop_descstop_latstop_longeometryroute_idservice_idtrip_headsigndirection_idblock_idshape_id
143085923564864-SCPB9-SC_B9-Saturday-1025:16:4125:16:413500882400E 66 ST / BASSETT AVE 66 ST & BASSETT AV40.609939-73.907128POINT (-73.907128 40.609939)B100SCPB9-SC_B9-Saturday-10MILL BASIN E. 66 ST04519132B1000099
143086023564864-SCPB9-SC_B9-Saturday-1025:17:2225:17:223500932500E 66 ST / MAYFAIR DR SE 66 ST & MAYFAIR DR S40.608084-73.908413POINT (-73.908413 40.60808400000001)B100SCPB9-SC_B9-Saturday-10MILL BASIN E. 66 ST04519132B1000099
143086123564864-SCPB9-SC_B9-Saturday-1025:18:1025:18:103500862600E 66 ST / 56 DRE 66 ST & 56 DR40.606298-73.910734POINT (-73.91073399999999 40.606298)B100SCPB9-SC_B9-Saturday-10MILL BASIN E. 66 ST04519132B1000099
143086223564864-SCPB9-SC_B9-Saturday-1025:19:0425:19:043501832700NATIONAL DR / E 66 STNATIONAL DR & E 66 ST40.604632-73.913419POINT (-73.91341899999999 40.604632)B100SCPB9-SC_B9-Saturday-10MILL BASIN E. 66 ST04519132B1000099
143088323564864-SCPB9-SC_B9-Saturday-1025:20:0025:20:009821782800NATIONAL DR / MILL AVNATIONAL DR & MILL AV40.606858-73.915899POINT (-73.915899 40.606858)B100SCPB9-SC_B9-Saturday-10MILL BASIN E. 66 ST04519132B1000099
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" ], "text/plain": [ " trip_id arrival_time departure_time \\\n", "1430859 23564864-SCPB9-SC_B9-Saturday-10 25:16:41 25:16:41 \n", "1430860 23564864-SCPB9-SC_B9-Saturday-10 25:17:22 25:17:22 \n", "1430861 23564864-SCPB9-SC_B9-Saturday-10 25:18:10 25:18:10 \n", "1430862 23564864-SCPB9-SC_B9-Saturday-10 25:19:04 25:19:04 \n", "1430883 23564864-SCPB9-SC_B9-Saturday-10 25:20:00 25:20:00 \n", "\n", " stop_id stop_sequence pickup_type drop_off_type \\\n", "1430859 350088 24 0 0 \n", "1430860 350093 25 0 0 \n", "1430861 350086 26 0 0 \n", "1430862 350183 27 0 0 \n", "1430883 982178 28 0 0 \n", "\n", " stop_name stop_desc stop_lat \\\n", "1430859 E 66 ST / BASSETT AV E 66 ST & BASSETT AV 40.609939 \n", "1430860 E 66 ST / MAYFAIR DR S E 66 ST & MAYFAIR DR S 40.608084 \n", "1430861 E 66 ST / 56 DR E 66 ST & 56 DR 40.606298 \n", "1430862 NATIONAL DR / E 66 ST NATIONAL DR & E 66 ST 40.604632 \n", "1430883 NATIONAL DR / MILL AV NATIONAL DR & MILL AV 40.606858 \n", "\n", " stop_lon geometry route_id \\\n", "1430859 -73.907128 POINT (-73.907128 40.609939) B100 \n", "1430860 -73.908413 POINT (-73.908413 40.60808400000001) B100 \n", "1430861 -73.910734 POINT (-73.91073399999999 40.606298) B100 \n", "1430862 -73.913419 POINT (-73.91341899999999 40.604632) B100 \n", "1430883 -73.915899 POINT (-73.915899 40.606858) B100 \n", "\n", " service_id trip_headsign direction_id block_id \\\n", "1430859 SCPB9-SC_B9-Saturday-10 MILL BASIN E. 66 ST 0 4519132 \n", "1430860 SCPB9-SC_B9-Saturday-10 MILL BASIN E. 66 ST 0 4519132 \n", "1430861 SCPB9-SC_B9-Saturday-10 MILL BASIN E. 66 ST 0 4519132 \n", "1430862 SCPB9-SC_B9-Saturday-10 MILL BASIN E. 66 ST 0 4519132 \n", "1430883 SCPB9-SC_B9-Saturday-10 MILL BASIN E. 66 ST 0 4519132 \n", "\n", " shape_id \n", "1430859 B1000099 \n", "1430860 B1000099 \n", "1430861 B1000099 \n", "1430862 B1000099 \n", "1430883 B1000099 " ] }, "execution_count": 149, "metadata": {}, "output_type": "execute_result" } ], "source": [ "b100 = paths[paths['route_id'] == 'B100']\n", "b100.tail()" ] }, { "cell_type": "code", "execution_count": 162, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0cbdb6eb84614b1ea713ee55826c08fd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=0, max=90), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "from tqdm import tqdm_notebook\n", "\n", "longest_trips = []\n", "\n", "for route, grouped in tqdm_notebook(paths.groupby('route_id')):\n", " trip_nums = grouped.groupby('trip_id')['trip_id'].count()\n", " longest_trips.append(dict(route=route, longest_trip=trip_nums.sort_values().index[-1]))" ] }, { "cell_type": "code", "execution_count": 182, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trip_idstop_idstop_nextstop_previoustravel_timearrival_timedeparture_timestop_sequencestop_namegeometrystop_lonstop_lat
135326022602546-SCPA9-SC_A9-Saturday-10350184350019.0NaNNaN2019-05-18 05:55:002019-05-18 05:55:001NATIONAL DR / MILL AVPOINT (-73.915935 40.606942)-73.91593540.606942
135325222602546-SCPA9-SC_A9-Saturday-10350019350017.0350184.01.0000002019-05-18 05:56:002019-05-18 05:56:00256 DR / STRICKLAND AVPOINT (-73.91378900000001 40.60866)-73.91378940.608660
135325322602546-SCPA9-SC_A9-Saturday-10350017350018.0350019.00.3166672019-05-18 05:56:192019-05-18 05:56:19356 DR / E 63 STPOINT (-73.912909 40.60786)-73.91290940.607860
135325422602546-SCPA9-SC_A9-Saturday-10350018350090.0350017.00.6666672019-05-18 05:56:592019-05-18 05:56:59456 DR / E 66 STPOINT (-73.911084 40.606229)-73.91108440.606229
135325522602546-SCPA9-SC_A9-Saturday-10350090350089.0350018.00.5833332019-05-18 05:57:342019-05-18 05:57:345E 66 ST / DAKOTA PLPOINT (-73.909075 40.607205)-73.90907540.607205
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" ], "text/plain": [ " trip_id stop_id stop_next stop_previous \\\n", "1353260 22602546-SCPA9-SC_A9-Saturday-10 350184 350019.0 NaN \n", "1353252 22602546-SCPA9-SC_A9-Saturday-10 350019 350017.0 350184.0 \n", "1353253 22602546-SCPA9-SC_A9-Saturday-10 350017 350018.0 350019.0 \n", "1353254 22602546-SCPA9-SC_A9-Saturday-10 350018 350090.0 350017.0 \n", "1353255 22602546-SCPA9-SC_A9-Saturday-10 350090 350089.0 350018.0 \n", "\n", " travel_time arrival_time departure_time stop_sequence \\\n", "1353260 NaN 2019-05-18 05:55:00 2019-05-18 05:55:00 1 \n", "1353252 1.000000 2019-05-18 05:56:00 2019-05-18 05:56:00 2 \n", "1353253 0.316667 2019-05-18 05:56:19 2019-05-18 05:56:19 3 \n", "1353254 0.666667 2019-05-18 05:56:59 2019-05-18 05:56:59 4 \n", "1353255 0.583333 2019-05-18 05:57:34 2019-05-18 05:57:34 5 \n", "\n", " stop_name geometry \\\n", "1353260 NATIONAL DR / MILL AV POINT (-73.915935 40.606942) \n", "1353252 56 DR / STRICKLAND AV POINT (-73.91378900000001 40.60866) \n", "1353253 56 DR / E 63 ST POINT (-73.912909 40.60786) \n", "1353254 56 DR / E 66 ST POINT (-73.911084 40.606229) \n", "1353255 E 66 ST / DAKOTA PL POINT (-73.909075 40.607205) \n", "\n", " stop_lon stop_lat \n", "1353260 -73.915935 40.606942 \n", "1353252 -73.913789 40.608660 \n", "1353253 -73.912909 40.607860 \n", "1353254 -73.911084 40.606229 \n", "1353255 -73.909075 40.607205 " ] }, "execution_count": 182, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def info_from_trip(trip):\n", " \"\"\"\n", " Extract info, nodes, positions, and travel times from a trip\n", " \n", " :param trip: dataframe of information from a single trip\n", " \n", " :return dict: a dictionary of information, nodes, positions, and edges\n", " \"\"\"\n", " trip = trip.copy()\n", " trip = trip.sort_values('stop_sequence')\n", " \n", " # Get the next stop and previous stop\n", " trip['stop_next'] = trip['stop_id'].shift(-1)\n", " trip['stop_previous'] = trip['stop_id'].shift(1)\n", " \n", " # Convert the times to datetimes for finding travel time\n", " trip['arrival_time'] = pd.to_datetime(trip['arrival_time'])\n", " trip['departure_time'] = pd.to_datetime(trip['departure_time'])\n", "\n", " # Calculate the travel time in minutes from the previous stop\n", " trip['travel_time'] = (trip['arrival_time'] - trip['departure_time'].shift(1)) / pd.Timedelta(minutes=1)\n", " \n", " # Subset to the columns to keep\n", " trip = trip[['trip_id', 'stop_id', 'stop_next', 'stop_previous', 'travel_time', \n", " 'arrival_time', 'departure_time', 'stop_sequence', 'stop_name', 'geometry', 'stop_lon', 'stop_lat']]\n", " \n", " # Nodes are the stops\n", " nodes = list(trip['stop_id'])\n", " \n", " # Labels are a mapping from stop id to stop name\n", " labels = {id: name for id, name in zip(trip['stop_id'], trip['stop_name'])}\n", " \n", " # Positions are a mapping from the stop to the longitude, latitude\n", " positions = {node: (lon, lat) for node, lon, lat in zip(trip['stop_id'], trip['stop_lon'], trip['stop_lat'])}\n", " \n", " # Edges in a dictionary mapping from previous stop to stop with travel time from previous stop to stop\n", " edges = {(previous, current): travel_time for previous, current, travel_time in zip(trip['stop_previous'], trip['stop_id'], trip['travel_time']) if \n", " not np.isnan(previous)}\n", " \n", " return dict(trip_info=trip, nodes=nodes, positions=positions, labels=labels, edges=edges)\n", "\n", "d = info_from_trip(paths[paths['trip_id'] == longest_trips[0]['longest_trip']])\n", "d['trip_info'].head()" ] }, { "cell_type": "code", "execution_count": 185, "metadata": {}, "outputs": [], "source": [ "G = nx.DiGraph()\n", "G.add_nodes_from(d['nodes'])\n", "G.add_edges_from(d['edges'])" ] }, { "cell_type": "code", "execution_count": 187, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{(350184.0, 350019): Text(-73.914862, 40.607800999999995, '1.0'),\n", " (350019.0, 350017): Text(-73.91334900000001, 40.60826, '0.31666666666666665'),\n", " 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" (350120.0, 350118): Text(-73.9242835, 40.6147055, '0.45'),\n", " (350118.0, 350127): Text(-73.926784, 40.614648, '0.7666666666666667'),\n", " (350127.0, 350111): Text(-73.92908399999999, 40.6141705, '0.55'),\n", " (350111.0, 350133): Text(-73.9305495, 40.6132135, '0.5166666666666667'),\n", " (350133.0,\n", " 350116): Text(-73.93196950000001, 40.6122915, '0.5166666666666667'),\n", " (350116.0, 350125): Text(-73.9337715, 40.6111225, '0.8'),\n", " (350125.0, 350113): Text(-73.935606, 40.6099385, '0.5333333333333333'),\n", " (350113.0,\n", " 350131): Text(-73.93707749999999, 40.6089965, '0.5333333333333333'),\n", " (350131.0, 350109): Text(-73.9385295, 40.608059, '0.5166666666666667'),\n", " (350109.0,\n", " 350129): Text(-73.9398325, 40.607200500000005, '0.43333333333333335'),\n", " (350129.0, 350217): Text(-73.9421505, 40.608372, '1.6'),\n", " (350217.0, 350158): Text(-73.946062, 40.609687, '1.0666666666666667'),\n", " (350158.0, 303920): Text(-73.9506555, 40.6092795, 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "nx.draw(G, pos=d['positions'], with_labels=True)\n", "nx.draw_networkx_edge_labels(G, pos=d['positions'], edge_labels=d['edges'])" ] }, { "cell_type": "code", "execution_count": 158, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "trip_id\n", "22604061-SCPA9-SC_A9-Weekday-10 30\n", "23563514-SCPB9-SC_B9-Weekday-10 30\n", "23563514-SCPB9-SC_B9-Weekday-10-SDon 30\n", "23563507-SCPB9-SC_B9-Weekday-10-SDon 30\n", "22602546-SCPA9-SC_A9-Saturday-10 30\n", "Name: trip_id, dtype: int64" ] }, "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trip_nums.sort_values().tail()" ] }, { "cell_type": "code", "execution_count": 151, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "trip_id\n", "22602546-SCPA9-SC_A9-Saturday-10 30\n", "22602547-SCPA9-SC_A9-Saturday-10 28\n", "22602548-SCPA9-SC_A9-Saturday-10 30\n", "22602549-SCPA9-SC_A9-Saturday-10 28\n", "22602550-SCPA9-SC_A9-Saturday-10 30\n", "22602551-SCPA9-SC_A9-Saturday-10 28\n", "22602552-SCPA9-SC_A9-Saturday-10 30\n", "22602553-SCPA9-SC_A9-Saturday-10 28\n", "22602554-SCPA9-SC_A9-Saturday-10 30\n", "22602555-SCPA9-SC_A9-Saturday-10 28\n", "22602556-SCPA9-SC_A9-Saturday-10 30\n", "22602557-SCPA9-SC_A9-Saturday-10 28\n", "22602558-SCPA9-SC_A9-Saturday-10 30\n", "22602559-SCPA9-SC_A9-Saturday-10 28\n", "22602560-SCPA9-SC_A9-Saturday-10 30\n", "22602561-SCPA9-SC_A9-Saturday-10 28\n", "22602562-SCPA9-SC_A9-Saturday-10 30\n", "22602563-SCPA9-SC_A9-Saturday-10 28\n", "22602564-SCPA9-SC_A9-Saturday-10 30\n", "22602565-SCPA9-SC_A9-Saturday-10 30\n", "22602566-SCPA9-SC_A9-Saturday-10 28\n", "22602567-SCPA9-SC_A9-Saturday-10 30\n", "22602568-SCPA9-SC_A9-Saturday-10 28\n", "22602569-SCPA9-SC_A9-Saturday-10 30\n", "22602570-SCPA9-SC_A9-Saturday-10 28\n", "22602571-SCPA9-SC_A9-Saturday-10 30\n", "22602572-SCPA9-SC_A9-Saturday-10 28\n", "22602573-SCPA9-SC_A9-Saturday-10 30\n", 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"23564857-SCPB9-SC_B9-Saturday-10 30\n", "23564858-SCPB9-SC_B9-Saturday-10 28\n", "23564859-SCPB9-SC_B9-Saturday-10 30\n", "23564860-SCPB9-SC_B9-Saturday-10 28\n", "23564861-SCPB9-SC_B9-Saturday-10 30\n", "23564862-SCPB9-SC_B9-Saturday-10 28\n", "23564863-SCPB9-SC_B9-Saturday-10 30\n", "23564864-SCPB9-SC_B9-Saturday-10 28\n", "Name: arrival_time, Length: 1228, dtype: int64" ] }, "execution_count": 151, "metadata": {}, "output_type": "execute_result" } ], "source": [ "b100.groupby('trip_id')['arrival_time'].count()" ] }, { "cell_type": "code", "execution_count": 148, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "route_id\n", "B100 35262\n", "B103 62324\n", "BM1 11332\n", "BM2 8783\n", "BM3 9745\n", "BM4 7018\n", "BM5 4124\n", "BX23 9872\n", "BXM1 4993\n", "BXM10 4959\n", "BXM11 3629\n", "BXM18 378\n", "BXM2 4389\n", "BXM3 3449\n", "BXM4 3069\n", "BXM6 1760\n", "BXM7 6127\n", "BXM8 4170\n", "BXM9 5487\n", "Q06 69584\n", "Q07 47326\n", "Q08 64242\n", "Q09 23684\n", "Q10 86744\n", "Q100 4595\n", "Q101 8364\n", "Q102 10064\n", "Q103 4745\n", "Q104 4399\n", "Q11 32560\n", " ... \n", "Q69 22781\n", "Q70+ 2653\n", "Q72 8015\n", "QM1 648\n", "QM10 616\n", "QM11 1128\n", "QM12 828\n", "QM15 7380\n", "QM16 1584\n", "QM17 1700\n", "QM18 1180\n", "QM2 5554\n", "QM20 3522\n", "QM21 672\n", "QM24 546\n", "QM25 476\n", "QM3 330\n", "QM31 372\n", "QM32 1032\n", "QM34 480\n", "QM35 1600\n", "QM36 432\n", "QM4 3180\n", "QM40 384\n", "QM42 480\n", "QM44 382\n", "QM5 9324\n", "QM6 4518\n", "QM7 1282\n", "QM8 1836\n", "Name: trip_id, Length: 90, dtype: int64" ] }, "execution_count": 148, "metadata": {}, "output_type": "execute_result" } ], "source": [ "paths.groupby('route_id')['trip_id'].count()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 17 entries, 0 to 16\n", "Data columns (total 18 columns):\n", "trip_id 17 non-null object\n", "arrival_time 17 non-null object\n", "departure_time 17 non-null object\n", "stop_id 17 non-null int64\n", "stop_sequence 17 non-null int64\n", "pickup_type 17 non-null int64\n", "drop_off_type 17 non-null int64\n", "stop_name 17 non-null object\n", "stop_desc 17 non-null object\n", "stop_lat 17 non-null float64\n", "stop_lon 17 non-null float64\n", "geometry 17 non-null object\n", "route_id 17 non-null object\n", "service_id 17 non-null object\n", "trip_headsign 17 non-null object\n", "direction_id 17 non-null int64\n", "block_id 17 non-null int64\n", "shape_id 17 non-null object\n", "dtypes: float64(2), int64(6), object(10)\n", "memory usage: 2.5+ KB\n" ] } ], "source": [ "single = paths[paths['trip_id'] == '23617854-BPPB9-BP_B9-Weekday-10']\n", "single.info()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \"\"\"Entry point for launching an IPython kernel.\n", "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \n" ] }, { "data": { "text/html": [ "
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123617854-BPPB9-BP_B9-Weekday-1000:00:2900:00:29551841200JEWEL AV/161 STJEWEL AV & 161 ST40.732107-73.808141POINT (-73.80814100000001 40.732107)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095551840.0551843.0
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" ], "text/plain": [ " trip_id arrival_time departure_time stop_id \\\n", "0 23617854-BPPB9-BP_B9-Weekday-10 00:00:00 00:00:00 551840 \n", "1 23617854-BPPB9-BP_B9-Weekday-10 00:00:29 00:00:29 551841 \n", "2 23617854-BPPB9-BP_B9-Weekday-10 00:01:00 00:01:00 551843 \n", "3 23617854-BPPB9-BP_B9-Weekday-10 00:01:24 00:01:24 551844 \n", "4 23617854-BPPB9-BP_B9-Weekday-10 00:01:58 00:01:58 551834 \n", "\n", " stop_sequence pickup_type drop_off_type stop_name \\\n", "0 1 0 0 JEWEL AV/164 ST \n", "1 2 0 0 JEWEL AV/161 ST \n", "2 3 0 0 JEWEL AV/PARSONS BL \n", "3 4 0 0 JEWEL AV/PARSONS BL \n", "4 5 0 0 JEWEL AV/KISSENA BL \n", "\n", " stop_desc stop_lat stop_lon \\\n", "0 JEWEL AV & 164 ST 40.731841 -73.805384 \n", "1 JEWEL AV & 161 ST 40.732107 -73.808141 \n", "2 JEWEL AV & PARSONS BL 40.732469 -73.811062 \n", "3 JEWEL AV & PARSONS BL 40.732236 -73.812835 \n", "4 JEWEL AV & KISSENA BL 40.732135 -73.815248 \n", "\n", " geometry route_id service_id \\\n", "0 POINT (-73.805384 40.731841) Q64 BPPB9-BP_B9-Weekday-10 \n", "1 POINT (-73.80814100000001 40.732107) Q64 BPPB9-BP_B9-Weekday-10 \n", "2 POINT (-73.81106199999999 40.732469) Q64 BPPB9-BP_B9-Weekday-10 \n", "3 POINT (-73.81283499999999 40.732236) Q64 BPPB9-BP_B9-Weekday-10 \n", "4 POINT (-73.815248 40.732135) Q64 BPPB9-BP_B9-Weekday-10 \n", "\n", " trip_headsign direction_id block_id \\\n", "0 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "1 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "2 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "3 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "4 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "\n", " shape_id stop_previous stop_next \n", "0 Q640095 NaN 551841.0 \n", "1 Q640095 551840.0 551843.0 \n", "2 Q640095 551841.0 551844.0 \n", "3 Q640095 551843.0 551834.0 \n", "4 Q640095 551844.0 551831.0 " ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "single['stop_previous'] = single['stop_id'].shift(1).copy()\n", "single['stop_next'] = single['stop_id'].shift(-1).copy()\n", "\n", "single.head()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(551840.0, 551841),\n", " (551841.0, 551843),\n", " (551843.0, 551844),\n", " (551844.0, 551834),\n", " (551834.0, 551831),\n", " (551831.0, 551829),\n", " (551829.0, 551827),\n", " (551827.0, 551825),\n", " (551825.0, 551823),\n", " (551823.0, 551821),\n", " (551821.0, 551819),\n", " (551819.0, 551817),\n", " (551817.0, 551847),\n", " (551847.0, 551848),\n", " (551848.0, 550957),\n", " (550957.0, 982087)]" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "edges = [(previous, current) for previous, current in zip(single['stop_previous'], single['stop_id'])]\n", "edges = [(e[0], e[1]) for e in edges if not np.isnan(e[0]) or np.isnan(e[1])]\n", "edges" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{551840: (-73.805384, 40.731840999999996),\n", " 551841: (-73.808141, 40.732107),\n", " 551843: (-73.81106199999999, 40.732469),\n", " 551844: (-73.81283499999999, 40.732236),\n", " 551834: (-73.815248, 40.732135),\n", " 551831: (-73.817786, 40.731808),\n", " 551829: (-73.81920699999999, 40.731390999999995),\n", " 551827: (-73.82174599999999, 40.730635),\n", " 551825: (-73.823774, 40.730024),\n", " 551823: (-73.82574, 40.729493),\n", " 551821: (-73.827823, 40.728893),\n", " 551819: (-73.829651, 40.728303000000004),\n", " 551817: (-73.831637, 40.728112),\n", " 551847: (-73.840949, 40.725654999999996),\n", " 551848: (-73.84317, 40.725008),\n", " 550957: (-73.845184, 40.724160999999995),\n", " 982087: (-73.843925, 40.721815)}" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nodes = list(single['stop_id'])\n", "labels = {id: name for id, name in zip(single['stop_id'], single['stop_name'])}\n", "positions = {node: (lon, lat) for node, lon, lat in zip(single['stop_id'], single['stop_lon'], single['stop_lat'])}\n", "positions" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{551840: 'JEWEL AV/164 ST',\n", " 551841: 'JEWEL AV/161 ST',\n", " 551843: 'JEWEL AV/PARSONS BL',\n", " 551844: 'JEWEL AV/PARSONS BL',\n", " 551834: 'JEWEL AV/KISSENA BL',\n", " 551831: 'JEWEL AV/152 ST',\n", " 551829: 'JEWEL AV/150 ST',\n", " 551827: 'JEWEL AV/147 ST',\n", " 551825: 'JEWEL AV/MAIN ST',\n", " 551823: 'JEWEL AV/140 ST',\n", " 551821: 'JEWEL AV/138 ST',\n", " 551819: 'JEWEL AV/136 ST',\n", " 551817: 'JEWEL AV/PARK DR E',\n", " 551847: '69 RD/112 ST',\n", " 551848: '69 RD/110 ST',\n", " 550957: '108 ST/69 RD',\n", " 982087: '108 ST/QUEENS BL'}" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "labels" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "import networkx as nx\n", "\n", "G = nx.Graph()\n", "G.add_nodes_from(positions)\n", "G.add_edges_from(edges)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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023617854-BPPB9-BP_B9-Weekday-1000:00:0000:00:00551840100JEWEL AV/164 STJEWEL AV & 164 ST40.731841-73.805384POINT (-73.805384 40.731841)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
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423617854-BPPB9-BP_B9-Weekday-1000:01:5800:01:58551834500JEWEL AV/KISSENA BLJEWEL AV & KISSENA BL40.732135-73.815248POINT (-73.815248 40.732135)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095
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" ], "text/plain": [ " trip_id arrival_time departure_time stop_id \\\n", "0 23617854-BPPB9-BP_B9-Weekday-10 00:00:00 00:00:00 551840 \n", "1 23617854-BPPB9-BP_B9-Weekday-10 00:00:29 00:00:29 551841 \n", "2 23617854-BPPB9-BP_B9-Weekday-10 00:01:00 00:01:00 551843 \n", "3 23617854-BPPB9-BP_B9-Weekday-10 00:01:24 00:01:24 551844 \n", "4 23617854-BPPB9-BP_B9-Weekday-10 00:01:58 00:01:58 551834 \n", "\n", " stop_sequence pickup_type drop_off_type stop_name \\\n", "0 1 0 0 JEWEL AV/164 ST \n", "1 2 0 0 JEWEL AV/161 ST \n", "2 3 0 0 JEWEL AV/PARSONS BL \n", "3 4 0 0 JEWEL AV/PARSONS BL \n", "4 5 0 0 JEWEL AV/KISSENA BL \n", "\n", " stop_desc stop_lat stop_lon \\\n", "0 JEWEL AV & 164 ST 40.731841 -73.805384 \n", "1 JEWEL AV & 161 ST 40.732107 -73.808141 \n", "2 JEWEL AV & PARSONS BL 40.732469 -73.811062 \n", "3 JEWEL AV & PARSONS BL 40.732236 -73.812835 \n", "4 JEWEL AV & KISSENA BL 40.732135 -73.815248 \n", "\n", " geometry route_id service_id \\\n", "0 POINT (-73.805384 40.731841) Q64 BPPB9-BP_B9-Weekday-10 \n", "1 POINT (-73.80814100000001 40.732107) Q64 BPPB9-BP_B9-Weekday-10 \n", "2 POINT (-73.81106199999999 40.732469) Q64 BPPB9-BP_B9-Weekday-10 \n", "3 POINT (-73.81283499999999 40.732236) Q64 BPPB9-BP_B9-Weekday-10 \n", "4 POINT (-73.815248 40.732135) Q64 BPPB9-BP_B9-Weekday-10 \n", "\n", " trip_headsign direction_id block_id \\\n", "0 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "1 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "2 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "3 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "4 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "\n", " shape_id \n", "0 Q640095 \n", "1 Q640095 \n", "2 Q640095 \n", "3 Q640095 \n", "4 Q640095 " ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "paths.head()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Timestamp('2019-05-17 00:00:00')" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.Timestamp('00:00:00')" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \"\"\"Entry point for launching an IPython kernel.\n", "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \n", "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " after removing the cwd from sys.path.\n" ] }, { "data": { "text/html": [ "
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trip_idarrival_timedeparture_timestop_idstop_sequencepickup_typedrop_off_typestop_namestop_descstop_latstop_longeometryroute_idservice_idtrip_headsigndirection_idblock_idshape_idtravel_time
023617854-BPPB9-BP_B9-Weekday-102019-05-17 00:00:002019-05-17 00:00:00551840100JEWEL AV/164 STJEWEL AV & 164 ST40.731841-73.805384POINT (-73.805384 40.731841)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q640095NaN
123617854-BPPB9-BP_B9-Weekday-102019-05-17 00:00:292019-05-17 00:00:29551841200JEWEL AV/161 STJEWEL AV & 161 ST40.732107-73.808141POINT (-73.80814100000001 40.732107)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q6400950.483333
223617854-BPPB9-BP_B9-Weekday-102019-05-17 00:01:002019-05-17 00:01:00551843300JEWEL AV/PARSONS BLJEWEL AV & PARSONS BL40.732469-73.811062POINT (-73.81106199999999 40.732469)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q6400950.516667
323617854-BPPB9-BP_B9-Weekday-102019-05-17 00:01:242019-05-17 00:01:24551844400JEWEL AV/PARSONS BLJEWEL AV & PARSONS BL40.732236-73.812835POINT (-73.81283499999999 40.732236)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q6400950.400000
423617854-BPPB9-BP_B9-Weekday-102019-05-17 00:01:582019-05-17 00:01:58551834500JEWEL AV/KISSENA BLJEWEL AV & KISSENA BL40.732135-73.815248POINT (-73.815248 40.732135)Q64BPPB9-BP_B9-Weekday-10FOREST HILLS 71 AV STA via JEWEL AV via 69 RD14528660Q6400950.566667
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" ], "text/plain": [ " trip_id arrival_time departure_time \\\n", "0 23617854-BPPB9-BP_B9-Weekday-10 2019-05-17 00:00:00 2019-05-17 00:00:00 \n", "1 23617854-BPPB9-BP_B9-Weekday-10 2019-05-17 00:00:29 2019-05-17 00:00:29 \n", "2 23617854-BPPB9-BP_B9-Weekday-10 2019-05-17 00:01:00 2019-05-17 00:01:00 \n", "3 23617854-BPPB9-BP_B9-Weekday-10 2019-05-17 00:01:24 2019-05-17 00:01:24 \n", "4 23617854-BPPB9-BP_B9-Weekday-10 2019-05-17 00:01:58 2019-05-17 00:01:58 \n", "\n", " stop_id stop_sequence pickup_type drop_off_type stop_name \\\n", "0 551840 1 0 0 JEWEL AV/164 ST \n", "1 551841 2 0 0 JEWEL AV/161 ST \n", "2 551843 3 0 0 JEWEL AV/PARSONS BL \n", "3 551844 4 0 0 JEWEL AV/PARSONS BL \n", "4 551834 5 0 0 JEWEL AV/KISSENA BL \n", "\n", " stop_desc stop_lat stop_lon \\\n", "0 JEWEL AV & 164 ST 40.731841 -73.805384 \n", "1 JEWEL AV & 161 ST 40.732107 -73.808141 \n", "2 JEWEL AV & PARSONS BL 40.732469 -73.811062 \n", "3 JEWEL AV & PARSONS BL 40.732236 -73.812835 \n", "4 JEWEL AV & KISSENA BL 40.732135 -73.815248 \n", "\n", " geometry route_id service_id \\\n", "0 POINT (-73.805384 40.731841) Q64 BPPB9-BP_B9-Weekday-10 \n", "1 POINT (-73.80814100000001 40.732107) Q64 BPPB9-BP_B9-Weekday-10 \n", "2 POINT (-73.81106199999999 40.732469) Q64 BPPB9-BP_B9-Weekday-10 \n", "3 POINT (-73.81283499999999 40.732236) Q64 BPPB9-BP_B9-Weekday-10 \n", "4 POINT (-73.815248 40.732135) Q64 BPPB9-BP_B9-Weekday-10 \n", "\n", " trip_headsign direction_id block_id \\\n", "0 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "1 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "2 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "3 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "4 FOREST HILLS 71 AV STA via JEWEL AV via 69 RD 1 4528660 \n", "\n", " shape_id travel_time \n", "0 Q640095 NaN \n", "1 Q640095 0.483333 \n", "2 Q640095 0.516667 \n", "3 Q640095 0.400000 \n", "4 Q640095 0.566667 " ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trip['arrival_time'] = pd.to_datetime(trip['arrival_time'])\n", "trip['departure_time'] = pd.to_datetime(trip['departure_time'])\n", "\n", "trip['travel_time'] = (trip['arrival_time'] - trip['departure_time'].shift(1)) / pd.Timedelta(minutes=1)\n", "trip.head()" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "edges = [{(previous, current): travel_time} for previous, current, travel_time in zip(trip['stop_previous'], trip['stop_id'], trip['travel_time'])]" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [], "source": [ "def graph_from_trip(trip):\n", " trip = trip.sort_values('stop_sequence')\n", " trip['stop_next'] = trip['stop_id'].shift(-1)\n", " trip['stop_previous'] = trip['stop_id'].shift(1)\n", " \n", " trip['arrival_time'] = pd.to_datetime(trip['arrival_time'])\n", " trip['departure_time'] = pd.to_datetime(trip['departure_time'])\n", "\n", " trip['travel_time'] = (trip['arrival_time'] - trip['departure_time'].shift(1)) / pd.Timedelta(minutes=1)\n", " \n", " nodes = list(trip['stop_id'])\n", " \n", " labels = {id: name for id, name in zip(trip['stop_id'], trip['stop_name'])}\n", " positions = {node: (lon, lat) for node, lon, lat in zip(trip['stop_id'], trip['stop_lon'], trip['stop_lat'])}\n", " \n", " edges = [(previous, current, travel_time) for previous, current, travel_time in zip(trip['stop_previous'], trip['stop_id'], trip['travel_time'])]\n", " edges = {(e[0], e[1]): e[2] for e in edges if not np.isnan(e[0]) or np.isnan(e[1])}\n", " \n", " G = nx.DiGraph()\n", " G.add_nodes_from(nodes)\n", " G.add_edges_from(edges)\n", " \n", " return G, positions, edges\n", "\n", "trip1, positions, edges = graph_from_trip(paths[paths['trip_id'] == paths['trip_id'][500]])" ] }, { "cell_type": "code", "execution_count": 86, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "nx.draw(trip1, positions, with_labels=True)\n", "_ = nx.draw_networkx_edge_labels(trip1, positions, edge_labels=edges)" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Q64'], dtype=object)" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "paths['route_id'].unique()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "nx.draw(trip1, pos=positions, withlabels=True, figsize=(20, 20), scale=5)\n", "_ = nx.draw_networkx_labels(G, pos=positions, labels=labels)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{551840: (-73.805384, 40.731840999999996),\n", " 551841: (-73.808141, 40.732107),\n", " 551843: (-73.81106199999999, 40.732469),\n", " 551844: (-73.81283499999999, 40.732236),\n", " 551834: (-73.815248, 40.732135),\n", " 551831: (-73.817786, 40.731808),\n", " 551829: (-73.81920699999999, 40.731390999999995),\n", " 551827: (-73.82174599999999, 40.730635),\n", " 551825: (-73.823774, 40.730024),\n", " 551823: (-73.82574, 40.729493),\n", " 551821: (-73.827823, 40.728893),\n", " 551819: (-73.829651, 40.728303000000004),\n", " 551817: (-73.831637, 40.728112),\n", " 551847: (-73.840949, 40.725654999999996),\n", " 551848: (-73.84317, 40.725008),\n", " 550957: (-73.845184, 40.724160999999995),\n", " 982087: (-73.843925, 40.721815)}" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "positions" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(551840, 551841),\n", " (551841, 551843),\n", " (551843, 551844),\n", " (551844, 551834),\n", " (551834, 551831),\n", " (551831, 551829),\n", " (551829, 551827),\n", " (551827, 551825),\n", " (551825, 551823),\n", " (551823, 551821),\n", " (551821, 551819),\n", " (551819, 551817),\n", " (551817, 551847),\n", " (551847, 551848),\n", " (551848, 550957),\n", " (550957, 982087)]" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(G.edges)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }