In [1]:
%matplotlib inline
import osmnx as ox
import networkx as nx
ox.config(use_cache=True)
In [2]:
places = ["Manhattan, New York"]
G5 = ox.graph_from_place(places, clean_periphery=False, network_type='drive')
G5_projected = ox.project_graph(G5)
fig, ax = ox.plot_graph(G5_projected, fig_height=20, node_size=0)
In [5]:
fig, ax = ox.plot_graph(G5_projected, fig_height=20, node_size=10)
In [6]:
node_data = G5_projected.nodes(data=True)
In [7]:
origin_point = (40.7992369, -73.962876)
destination_point = (40.8013253, -73.9540275)
origin_node = ox.get_nearest_node(G5, origin_point)
destination_node = ox.get_nearest_node(G5, destination_point)
origin_node, destination_node
Out[7]:
(42421737, 42431203)
In [67]:
node_data[100]
Out[67]:
(42424098,
{'highway': 'traffic_signals',
'lat': 40.7612328,
'lon': -73.9639047,
'osmid': '42424098',
'ref': nan,
'x': 587451.60516934528,
'y': 4512768.4768141489})
In [71]:
import random
In [89]:
nx.shortest_path??
In [4]:
def edge_dist(road_type):
if road_type == "motorway":
return .5
elif road_type == "primary":
return .85
else:
return 1
In [5]:
G5_modified = G5_projected.copy()
for start, end, _, data in G5_modified.edges_iter(None, True, True):
new_weight = edge_dist(data['highway']) * data["length"]
data.update(new_weight=new_weight)
In [24]:
from collections import defaultdict
node_names = defaultdict(set)
i = 0
for edge, _, name in G5_modified.edges_iter(data='name'):
i+=1
# if i>100:break
if isinstance(name, str):
node_names[edge].add(name)
elif isinstance(name, list):
for n in name:
node_names[edge].add(n)
In [25]:
Out[25]:
4353
In [8]:
G5_modified.edges(data=True)
Out[8]:
[(42421728,
42432736,
{'highway': 'secondary',
'length': 86.00096978847245,
'name': 'Central Park West',
'new_weight': 86.00096978847245,
'oneway': False,
'osmid': 195743153}),
(42421728,
42435337,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113df2c390>,
'highway': 'secondary',
'length': 85.58245497046394,
'name': 'Central Park West',
'new_weight': 85.58245497046394,
'oneway': False,
'osmid': 195743153}),
(42421728,
42421731,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113df2a9b0>,
'highway': 'secondary',
'length': 137.861973054828,
'name': 'West 106th Street',
'new_weight': 137.861973054828,
'oneway': False,
'osmid': [420625565, 420625573, 5668966]}),
(42421731,
42437916,
{'highway': 'residential',
'length': 84.59593627749258,
'name': 'Manhattan Avenue',
'new_weight': 84.59593627749258,
'oneway': False,
'osmid': 5671485}),
(42421731,
42432737,
{'highway': 'residential',
'length': 86.4666229292277,
'name': 'Manhattan Avenue',
'new_weight': 86.4666229292277,
'oneway': False,
'osmid': 195743186}),
(42421731,
42421728,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddba0b8>,
'highway': 'secondary',
'length': 137.86197305494997,
'name': 'West 106th Street',
'new_weight': 137.86197305494997,
'oneway': False,
'osmid': [420625565, 5668966, 420625573]}),
(42421731,
42421737,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddba0f0>,
'highway': 'secondary',
'length': 135.14206299723287,
'name': 'West 106th Street',
'new_weight': 135.14206299723287,
'oneway': False,
'osmid': [195743201, 420625570, 420625566]}),
(42421737,
42437917,
{'highway': 'secondary',
'length': 85.25709517367771,
'name': 'Columbus Avenue',
'new_weight': 85.25709517367771,
'oneway': True,
'osmid': 420625563}),
(42421737,
42421741,
{'highway': 'secondary',
'length': 272.70869641249465,
'name': 'West 106th Street',
'new_weight': 272.70869641249465,
'oneway': False,
'osmid': 420625567}),
(42421737,
42421731,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbfbe0>,
'highway': 'secondary',
'length': 135.14206299712572,
'name': 'West 106th Street',
'new_weight': 135.14206299712572,
'oneway': False,
'osmid': [195743201, 420625570, 420625566]}),
(42421741,
42432756,
{'highway': 'primary',
'length': 85.91998626695027,
'name': 'Amsterdam Avenue',
'new_weight': 73.03198832690774,
'oneway': True,
'osmid': 196116970}),
(42421741,
42421737,
{'highway': 'secondary',
'length': 272.7086964124971,
'name': 'West 106th Street',
'new_weight': 272.7086964124971,
'oneway': False,
'osmid': 420625567}),
(42421741,
1061531654,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf748>,
'highway': 'secondary',
'length': 200.60237613129954,
'name': 'West 106th Street',
'new_weight': 200.60237613129954,
'oneway': False,
'osmid': [420625569, 196117060, 420625564]}),
(42421745,
42428751,
{'highway': 'primary',
'length': 95.67851339161167,
'name': 'Broadway',
'new_weight': 81.32673638286992,
'oneway': True,
'osmid': 196116982}),
(42421745,
42421749,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf470>,
'highway': 'secondary',
'length': 54.86469708092867,
'name': 'West 106th Street',
'new_weight': 54.86469708092867,
'oneway': False,
'osmid': [420625568, 68674963]}),
(42421745,
1061531654,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf668>,
'highway': 'secondary',
'length': 20.296846430163487,
'name': 'West 106th Street',
'new_weight': 20.296846430163487,
'oneway': False,
'osmid': 195743200}),
(42421749,
42421751,
{'highway': 'residential',
'length': 143.59744739661951,
'name': 'West 106th Street',
'new_weight': 143.59744739661951,
'oneway': False,
'osmid': 46563041}),
(42421749,
42431118,
{'highway': 'secondary',
'length': 87.21729589000302,
'name': 'West End Avenue',
'new_weight': 87.21729589000302,
'oneway': False,
'osmid': 195743221}),
(42421749,
42421745,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf860>,
'highway': 'secondary',
'length': 54.864697080831675,
'name': 'West 106th Street',
'new_weight': 54.864697080831675,
'oneway': False,
'osmid': [420625568, 68674963]}),
(42421751,
42421749,
{'highway': 'residential',
'length': 143.59744739644498,
'name': 'West 106th Street',
'new_weight': 143.59744739644498,
'oneway': False,
'osmid': 46563041}),
(42421751,
42432764,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf9e8>,
'highway': 'residential',
'length': 85.34206989970235,
'name': 'Riverside Drive',
'new_weight': 85.34206989970235,
'oneway': True,
'osmid': 46111610}),
(42421769,
42443347,
{'highway': 'secondary',
'length': 86.25926956686266,
'name': 'Columbus Avenue',
'new_weight': 86.25926956686266,
'oneway': True,
'osmid': 195743159}),
(42421772,
42421769,
{'highway': 'residential',
'length': 273.54540127871235,
'name': 'West 80th Street',
'new_weight': 273.54540127871235,
'oneway': True,
'osmid': 5668968}),
(42421772,
42442469,
{'highway': 'primary',
'length': 80.67020121370923,
'name': 'Amsterdam Avenue',
'new_weight': 68.56967103165285,
'oneway': True,
'osmid': 195743132}),
(42421775,
1061531525,
{'highway': 'residential',
'length': 17.100470387895353,
'name': 'West 80th Street',
'new_weight': 17.100470387895353,
'oneway': True,
'osmid': 5668968}),
(42421775,
42428653,
{'highway': 'primary',
'length': 86.23234577558999,
'name': 'Broadway',
'new_weight': 73.29749390925149,
'oneway': True,
'osmid': 404253364}),
(42421776,
42421775,
{'highway': 'residential',
'length': 105.58300693877472,
'name': 'West 80th Street',
'new_weight': 105.58300693877472,
'oneway': True,
'osmid': 5668968}),
(42421776,
42431024,
{'highway': 'secondary',
'length': 79.67257649894201,
'name': 'West End Ave.',
'new_weight': 79.67257649894201,
'oneway': False,
'osmid': 169381959}),
(42421776,
42431019,
{'highway': 'secondary',
'length': 86.38864962578941,
'name': 'West End Ave.',
'new_weight': 86.38864962578941,
'oneway': False,
'osmid': 169381959}),
(42421778,
42421776,
{'highway': 'residential',
'length': 128.54886909915143,
'name': 'West 80th Street',
'new_weight': 128.54886909915143,
'oneway': True,
'osmid': 5668968}),
(42421778,
42422592,
{'highway': 'secondary',
'length': 87.78261580081596,
'name': 'Riverside Drive',
'new_weight': 87.78261580081596,
'oneway': False,
'osmid': 46111607}),
(42421778,
42441587,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf9b0>,
'highway': 'secondary',
'length': 81.13656671954652,
'name': 'Riverside Drive',
'new_weight': 81.13656671954652,
'oneway': False,
'osmid': 46111607}),
(42421783,
1764387328,
{'highway': 'tertiary_link',
'length': 20.686800520346054,
'new_weight': 20.686800520346054,
'oneway': True,
'osmid': 5668973}),
(42421783,
1764387326,
{'highway': 'primary',
'lanes': '4',
'length': 38.576981905159656,
'name': 'Broadway',
'new_weight': 32.79043461938571,
'oneway': False,
'osmid': 223486858,
'ref': 'US 9'}),
(42421783,
1764387321,
{'highway': 'primary',
'lanes': '4',
'length': 42.45945379553242,
'name': 'Broadway',
'new_weight': 36.09053572620255,
'oneway': False,
'osmid': 223486858,
'ref': 'US 9'}),
(42421783,
42427782,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf908>,
'highway': 'residential',
'length': 250.30961664962751,
'maxspeed': '30 mph',
'name': 'Bennett Avenue',
'new_weight': 250.30961664962751,
'oneway': True,
'osmid': [104984000, 5672430]}),
(42421785,
42443520,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbfa20>,
'highway': 'residential',
'length': 201.239008532534,
'name': 'Bogardus Place',
'new_weight': 201.239008532534,
'oneway': False,
'osmid': 5671285}),
(42421785,
42421786,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf828>,
'highway': 'tertiary',
'length': 239.81068409520284,
'name': 'Hillside Avenue',
'new_weight': 239.81068409520284,
'oneway': True,
'osmid': 164839571}),
(42421786,
42421791,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf940>,
'highway': 'tertiary',
'length': 127.62103442995036,
'name': 'Hillside Avenue',
'new_weight': 127.62103442995036,
'oneway': True,
'osmid': 164839571}),
(42421791,
42448930,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf978>,
'highway': 'residential',
'length': 90.64529385351153,
'name': 'Sickles Street',
'new_weight': 90.64529385351153,
'oneway': True,
'osmid': 5671645}),
(42421791,
1764400316,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf8d0>,
'highway': 'tertiary',
'length': 198.43218998080386,
'name': 'Hillside Avenue',
'new_weight': 198.43218998080386,
'oneway': True,
'osmid': 164839571}),
(42421794,
2093008357,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf898>,
'highway': 'primary',
'length': 16.12959076605596,
'name': 'Nagle Avenue',
'new_weight': 13.710152151147565,
'oneway': True,
'osmid': 164842044}),
(42421800,
42424851,
{'highway': 'secondary',
'length': 80.64828758461506,
'name': 'Central Park West',
'new_weight': 80.64828758461506,
'oneway': False,
'osmid': 46334665}),
(42421800,
42435308,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf7f0>,
'highway': 'secondary',
'length': 80.07248448521617,
'name': 'Central Park West',
'new_weight': 80.07248448521617,
'oneway': False,
'osmid': 46334665}),
(42421803,
42437300,
{'highway': 'secondary',
'lanes': '4',
'length': 80.09909385403918,
'name': 'Columbus Avenue',
'new_weight': 80.09909385403918,
'oneway': True,
'osmid': 421853639}),
(42421803,
42421800,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf780>,
'highway': 'residential',
'length': 271.0450592292301,
'name': 'West 84th Street',
'new_weight': 271.0450592292301,
'oneway': True,
'osmid': 5668977}),
(42421806,
42421803,
{'highway': 'residential',
'length': 273.42668113458114,
'name': 'West 84th Street',
'new_weight': 273.42668113458114,
'oneway': True,
'osmid': 5668977}),
(42421806,
42442475,
{'highway': 'primary',
'length': 81.15753704706576,
'name': 'Amsterdam Avenue',
'new_weight': 68.9839064900059,
'oneway': True,
'osmid': 195743133}),
(42421809,
1061531683,
{'highway': 'residential',
'length': 16.914950957423812,
'name': 'West 84th Street',
'new_weight': 16.914950957423812,
'oneway': True,
'osmid': 5668977}),
(42421809,
42428663,
{'highway': 'primary',
'length': 80.15760481982495,
'name': 'Broadway',
'new_weight': 68.13396409685122,
'oneway': True,
'osmid': 404253364}),
(42421810,
42421809,
{'highway': 'residential',
'length': 109.54892975641164,
'name': 'West 84th Street',
'new_weight': 109.54892975641164,
'oneway': True,
'osmid': 5668977}),
(42421810,
42431034,
{'highway': 'secondary',
'length': 80.0961252139505,
'name': 'West End Ave.',
'new_weight': 80.0961252139505,
'oneway': False,
'osmid': 169381959}),
(42421810,
42431030,
{'highway': 'secondary',
'length': 80.14747595318258,
'name': 'West End Ave.',
'new_weight': 80.14747595318258,
'oneway': False,
'osmid': 169381959}),
(42421820,
42421810,
{'highway': 'residential',
'length': 216.1044332211403,
'name': 'West 84th Street',
'new_weight': 216.1044332211403,
'oneway': True,
'osmid': 5668977}),
(42421820,
42437312,
{'highway': 'secondary',
'length': 88.29234182526716,
'name': 'Riverside Drive',
'new_weight': 88.29234182526716,
'oneway': False,
'osmid': 46111607}),
(42421820,
42441569,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf7b8>,
'highway': 'secondary',
'length': 85.12162093304637,
'name': 'Riverside Drive',
'new_weight': 85.12162093304637,
'oneway': False,
'osmid': 46111607}),
(42421828,
42430938,
{'highway': 'residential',
'length': 127.66939636337935,
'maxspeed': '30',
'name': 'East 10th Street',
'new_weight': 127.66939636337935,
'oneway': False,
'osmid': 194923763}),
(42421828,
42430942,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf3c8>,
'highway': 'residential',
'length': 101.47802590520783,
'maxspeed': '30',
'name': 'East 10th Street',
'new_weight': 101.47802590520783,
'oneway': False,
'osmid': 194923763}),
(42421852,
42442584,
{'highway': 'secondary',
'length': 97.00295508832852,
'name': 'Amsterdam Avenue',
'new_weight': 97.00295508832852,
'oneway': False,
'osmid': 309956784}),
(42421852,
561035342,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf5f8>,
'highway': 'residential',
'length': 269.1147093495222,
'name': 'La Salle Street',
'new_weight': 269.1147093495222,
'oneway': False,
'osmid': 5668986}),
(42421852,
42438928,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf198>,
'highway': 'secondary',
'length': 171.17067149010904,
'name': 'Amsterdam Avenue',
'new_weight': 171.17067149010904,
'oneway': False,
'osmid': 309956784}),
(42421857,
42421865,
{'highway': 'residential',
'length': 83.20521149237383,
'name': 'La Salle Street',
'new_weight': 83.20521149237383,
'oneway': False,
'osmid': 5668986}),
(42421857,
561035342,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf128>,
'highway': 'residential',
'length': 18.317300714256405,
'name': 'La Salle Street',
'new_weight': 18.317300714256405,
'oneway': False,
'osmid': 5668986}),
(42421857,
1506591534,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf160>,
'highway': 'primary',
'length': 247.82601817735915,
'name': 'Broadway',
'new_weight': 210.65211545075528,
'oneway': True,
'osmid': 195743140}),
(42421865,
42421857,
{'highway': 'residential',
'length': 83.20521149231261,
'name': 'La Salle Street',
'new_weight': 83.20521149231261,
'oneway': False,
'osmid': 5668986}),
(42421865,
42443181,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbfc88>,
'highway': 'residential',
'length': 169.2785137243924,
'name': 'Claremont Avenue',
'new_weight': 169.2785137243924,
'oneway': False,
'osmid': 444907552}),
(42421865,
1332860731,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddbf320>,
'highway': 'residential',
'length': 246.63639882810457,
'name': 'Claremont Avenue',
'new_weight': 246.63639882810457,
'oneway': False,
'osmid': 444907552}),
(42421877,
42437949,
{'highway': 'secondary',
'length': 75.44711664555773,
'name': '5th Avenue',
'new_weight': 75.44711664555773,
'oneway': True,
'osmid': 195743341}),
(42421877,
42421889,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddc6780>,
'highway': 'unclassified',
'length': 313.3612929439149,
'name': ['West 9th Street', 'Christopher Street'],
'new_weight': 313.3612929439149,
'oneway': True,
'osmid': [24264114, 5668989]}),
(42421889,
42432191,
{'highway': 'unclassified',
'length': 39.832027509950784,
'name': 'Christopher Street',
'new_weight': 39.832027509950784,
'oneway': True,
'osmid': 24264114}),
(42421889,
42430241,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddc6710>,
'highway': 'secondary',
'length': 82.6002325753233,
'name': '6th Avenue',
'new_weight': 82.6002325753233,
'oneway': True,
'osmid': 451905565}),
(42421941,
42421960,
{'highway': 'primary',
'length': 20.418287687672347,
'name': 'Water Street',
'new_weight': 17.355544534521496,
'oneway': False,
'osmid': 195743199}),
(42421941,
42454600,
{'highway': 'primary',
'length': 75.85739542178602,
'name': 'Water Street',
'new_weight': 64.47878610851812,
'oneway': False,
'osmid': 384178817}),
(42421946,
42421941,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddc68d0>,
'highway': 'residential',
'length': 59.0792875117573,
'name': 'Old Slip',
'new_weight': 59.0792875117573,
'oneway': True,
'osmid': 5668999}),
(42421951,
42421946,
{'highway': 'residential',
'length': 71.25800524328393,
'name': 'Old Slip',
'new_weight': 71.25800524328393,
'oneway': True,
'osmid': 5668999}),
(42421951,
42444223,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddc6898>,
'highway': 'primary',
'length': 78.19221729740877,
'name': 'South Street',
'new_weight': 66.46338470279746,
'oneway': False,
'osmid': 46154337}),
(42421951,
42421965,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113ddc6860>,
'highway': 'primary',
'length': 22.576027778212442,
'name': 'South Street',
'new_weight': 19.189623611480574,
'oneway': True,
'osmid': [440542774, 440542775]}),
(42421960,
42421941,
{'highway': 'primary',
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(42428674,
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(42428678,
42431039,
{'highway': 'residential',
'length': 127.33447544524986,
'name': 'West 87th Street',
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'oneway': True,
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(42428678,
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{'highway': 'primary',
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(42428682,
42428678,
{'highway': 'primary',
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'name': 'Broadway',
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'oneway': True,
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(42428682,
1061531810,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113dde7f28>,
'highway': 'residential',
'length': 17.08341320638747,
'name': 'West 88th Street',
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'oneway': True,
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(42428689,
42422006,
{'highway': 'primary',
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(42428689,
1061531682,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113dde7128>,
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'name': 'West 90th Street',
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(42428695,
42431067,
{'highway': 'residential',
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'name': 'West 91st Street',
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(42428695,
42428689,
{'highway': 'primary',
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(42428701,
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{'highway': 'primary',
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(42428701,
1061531736,
{'geometry': <shapely.geometry.linestring.LineString at 0x2113dde7160>,
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{'highway': 'residential',
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'oneway': True,
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...]
In [7]:
G5_modified.nodes(data=True)
Out[7]:
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{'highway': 'traffic_signals',
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{'highway': nan,
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{'highway': nan,
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{'highway': nan,
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': nan,
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{'highway': 'traffic_signals',
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{'highway': 'traffic_signals',
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{'highway': nan,
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{'highway': nan,
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{'highway': 'motorway_junction',
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'lat': 40.7134886,
'lon': -74.0048235,
'osmid': '42431602',
'ref': nan,
'x': 584057.88218795625,
'y': 4507428.5625000205}),
(42431611,
{'highway': 'traffic_signals',
'lat': 40.7149352,
'lon': -74.0079521,
'osmid': '42431611',
'ref': nan,
'x': 583791.8062513551,
'y': 4507586.1549358889}),
(42431614,
{'highway': 'traffic_signals',
'lat': 40.7155224,
'lon': -74.0092214,
'osmid': '42431614',
'ref': nan,
'x': 583683.85982979729,
'y': 4507650.1277425345}),
(42431617,
{'highway': 'traffic_signals',
'lat': 40.7162912,
'lon': -74.0109454,
'osmid': '42431617',
'ref': nan,
'x': 583537.28283248225,
'y': 4507733.8282773122}),
(42431626,
{'highway': 'traffic_signals',
'lat': 40.7171144,
'lon': -74.0127588,
'osmid': '42431626',
'ref': nan,
'x': 583383.09039439843,
'y': 4507823.4855391439}),
(42431629,
{'highway': nan,
'lat': 40.7176124,
'lon': -74.0138439,
'osmid': '42431629',
'ref': nan,
'x': 583290.81997182989,
'y': 4507877.7371083749}),
(42431630,
{'highway': nan,
'lat': 40.7177122,
'lon': -74.014069,
'osmid': '42431630',
'ref': nan,
'x': 583271.6833552483,
'y': 4507888.6020979704}),
(42431643,
{'highway': 'traffic_signals',
'lat': 40.826645,
'lon': -73.943059,
'osmid': '42431643',
'ref': nan,
'x': 589123.59077565768,
'y': 4520050.7600015197}),
(42431649,
{'highway': 'traffic_signals',
'lat': 40.767394,
'lon': -73.970728,
'osmid': '42431649',
'ref': nan,
'x': 586867.65208094963,
'y': 4513445.6387254773}),
(42431650,
{'highway': 'traffic_signals',
'lat': 40.7667187,
'lon': -73.969127,
'osmid': '42431650',
'ref': nan,
'x': 587003.65494966228,
'y': 4513372.2616890119}),
(42431652,
{'highway': 'traffic_signals',
'lat': 40.7659931,
'lon': -73.9674105,
'osmid': '42431652',
'ref': nan,
'x': 587149.47449799941,
'y': 4513293.418153258}),
(42431654,
{'highway': 'traffic_signals',
'lat': 40.7653573,
'lon': -73.9658998,
'osmid': '42431654',
'ref': nan,
'x': 587277.80992933956,
'y': 4513224.3411923135}),
(42431656,
{'highway': 'traffic_signals',
'lat': 40.7646823,
'lon': -73.9642995,
'osmid': '42431656',
'ref': nan,
'x': 587413.7615706299,
'y': 4513151.0041903937}),
(42431659,
{'highway': 'traffic_signals',
'lat': 40.7637382,
'lon': -73.9620616,
'osmid': '42431659',
'ref': nan,
'x': 587603.88458041346,
'y': 4513048.4339136612}),
(42431661,
{'highway': 'traffic_signals',
'lat': 40.7627399,
'lon': -73.9596951,
'osmid': '42431661',
'ref': nan,
'x': 587804.9386747299,
'y': 4512939.9805222051}),
(42431666,
{'highway': nan,
'lat': 40.8678058,
'lon': -73.9300052,
'osmid': '42431666',
'ref': nan,
'x': 590168.5184169556,
'y': 4524633.3533255048}),
(42431671,
{'highway': 'traffic_signals',
'lat': 40.769901,
'lon': -73.968904,
'osmid': '42431671',
'ref': nan,
'x': 587018.32425454364,
'y': 4513725.7426490299}),
(42431674,
{'highway': 'traffic_signals',
'lat': 40.7692257,
'lon': -73.9673032,
'osmid': '42431674',
'ref': nan,
'x': 587154.30677970184,
'y': 4513652.368206691}),
(42431677,
{'highway': 'traffic_signals',
'lat': 40.7684994,
'lon': -73.9655756,
'osmid': '42431677',
'ref': nan,
'x': 587301.06034214422,
'y': 4513573.4610050032}),
(42431678,
{'highway': 'traffic_signals',
'lat': 40.7678636,
'lon': -73.9640743,
'osmid': '42431678',
'ref': nan,
'x': 587428.59917076316,
'y': 4513504.3773277355}),
(42431680,
{'highway': 'traffic_signals',
'lat': 40.7671877,
'lon': -73.962472,
'osmid': '42431680',
'ref': nan,
'x': 587564.71733147721,
'y': 4513430.9452090068}),
(42431681,
{'highway': 'traffic_signals',
'lat': 40.7662424,
'lon': -73.9602312,
'osmid': '42431681',
'ref': nan,
'x': 587755.08184743742,
'y': 4513328.2485351814}),
(42431684,
{'highway': 'traffic_signals',
'lat': 40.765245,
'lon': -73.9578668,
'osmid': '42431684',
'ref': nan,
'x': 587955.9524094573,
'y': 4513219.8970882921}),
(42431773,
{'highway': 'traffic_signals',
'lat': 40.7303374,
'lon': -74.0024762,
'osmid': '42431773',
'ref': nan,
'x': 584234.90501483739,
'y': 4509301.1406054152}),
(42431777,
{'highway': nan,
'lat': 40.730913,
'lon': -74.002819,
'osmid': '42431777',
'ref': nan,
'x': 584205.23148337915,
'y': 4509364.7073032195}),
(42431785,
{'highway': nan,
'lat': 40.731465,
'lon': -74.003139,
'osmid': '42431785',
'ref': nan,
'x': 584177.51350687316,
'y': 4509425.676216743}),
(42431789,
{'highway': nan,
'lat': 40.7317464,
'lon': -74.00329,
'osmid': '42431789',
'ref': nan,
'x': 584164.40787000116,
'y': 4509456.7687764252}),
(42431793,
{'highway': 'traffic_signals',
'lat': 40.7322862,
'lon': -74.003601,
'osmid': '42431793',
'ref': nan,
'x': 584137.46590312535,
'y': 4509516.3921823027}),
(42431797,
{'highway': nan,
'lat': 40.732915,
'lon': -74.003976,
'osmid': '42431797',
'ref': nan,
'x': 584105.00797550927,
'y': 4509585.8339828104}),
(42431802,
{'highway': 'traffic_signals',
'lat': 40.7333629,
'lon': -74.0042443,
'osmid': '42431802',
'ref': nan,
'x': 584081.78827003122,
'y': 4509635.2969649825}),
(42431804,
{'highway': 'traffic_signals',
'lat': 40.73401,
'lon': -74.004561,
'osmid': '42431804',
'ref': nan,
'x': 584054.23120570893,
'y': 4509706.8262475487}),
(42431805,
{'highway': 'traffic_signals',
'lat': 40.73466,
'lon': -74.004748,
'osmid': '42431805',
'ref': nan,
'x': 584037.62284442713,
'y': 4509778.8016980439}),
(42431812,
{'highway': 'traffic_signals',
'lat': 40.735304,
'lon': -74.004932,
'osmid': '42431812',
'ref': nan,
'x': 584021.27564602229,
'y': 4509850.1140186796}),
(42431814,
{'highway': 'traffic_signals',
'lat': 40.735961,
'lon': -74.005126,
'osmid': '42431814',
'ref': nan,
'x': 584004.06800140417,
'y': 4509922.8598993625}),
(42431822,
{'highway': nan,
'lat': 40.736611,
'lon': -74.005314,
'osmid': '42431822',
'ref': nan,
'x': 583987.37609648425,
'y': 4509994.8345148265}),
(42431844,
{'highway': 'traffic_signals',
'lat': 40.7368919,
'lon': -74.0055186,
'osmid': '42431844',
'ref': nan,
'x': 583969.74698658171,
'y': 4510025.8206368443}),
(42431868,
{'highway': 'traffic_signals',
'lat': 40.7049909,
'lon': -74.0115503,
'osmid': '42431868',
'ref': nan,
'x': 583500.3074313337,
'y': 4506478.8474668888}),
(42431875,
{'highway': nan,
'lat': 40.704249,
'lon': -74.011569,
'osmid': '42431875',
'ref': nan,
'x': 583499.65435189113,
'y': 4506396.4741278281}),
(42431877,
{'highway': 'traffic_signals',
'lat': 40.7040261,
'lon': -74.011576,
'osmid': '42431877',
'ref': nan,
'x': 583499.34140550182,
'y': 4506371.7241749251}),
(42431889,
{'highway': 'traffic_signals',
'lat': 40.7035187,
'lon': -74.0115825,
'osmid': '42431889',
'ref': nan,
'x': 583499.42602695432,
'y': 4506315.3934148494}),
(42431898,
{'highway': 'traffic_signals',
'lat': 40.702959,
'lon': -74.011505,
'osmid': '42431898',
'ref': nan,
'x': 583506.67226258421,
'y': 4506253.3368776236}),
(42431902,
{'highway': nan,
'lat': 40.7017938,
'lon': -74.0111561,
'osmid': '42431902',
'ref': nan,
'x': 583537.6031855864,
'y': 4506124.3241140861}),
(42431990,
{'highway': nan,
'lat': 40.7127307,
'lon': -73.9979934,
'osmid': '42431990',
'ref': nan,
'x': 584635.75730227656,
'y': 4507350.9899032963}),
(42431992,
{'highway': 'traffic_signals',
'lat': 40.7119727,
'lon': -73.9977747,
'osmid': '42431992',
'ref': nan,
'x': 584655.1904829212,
'y': 4507267.0577427931}),
(42432000,
{'highway': 'traffic_signals',
'lat': 40.7131986,
'lon': -73.9838848,
'osmid': '42432000',
'ref': nan,
'x': 585826.8759544543,
'y': 4507416.6210148884}),
(42432002,
{'highway': nan,
'lat': 40.7113265,
'lon': -73.9836093,
'osmid': '42432002',
'ref': nan,
'x': 585852.55144373665,
'y': 4507209.0748643093}),
(42432054,
{'highway': 'traffic_signals',
'lat': 40.722181,
'lon': -73.990914,
'osmid': '42432054',
'ref': nan,
'x': 585221.68363973952,
'y': 4508406.8818684146}),
(42432057,
{'highway': 'traffic_signals',
'lat': 40.721677,
'lon': -73.98923,
'osmid': '42432057',
'ref': nan,
'x': 585364.5509221995,
'y': 4508352.5701368526}),
(42432060,
{'highway': 'traffic_signals',
'lat': 40.7215997,
'lon': -73.9889981,
'osmid': '42432060',
'ref': nan,
'x': 585384.23512538965,
'y': 4508344.2147733485}),
(42432063,
{'highway': nan,
'lat': 40.7214549,
'lon': -73.9885198,
'osmid': '42432063',
'ref': nan,
'x': 585424.81575828209,
'y': 4508328.6061724145}),
(42432066,
{'highway': 'traffic_signals',
'lat': 40.7212285,
'lon': -73.9877697,
'osmid': '42432066',
'ref': nan,
'x': 585488.45632466488,
'y': 4508304.2042055968}),
(42432068,
{'highway': 'traffic_signals',
'lat': 40.7209813,
'lon': -73.9869509,
'osmid': '42432068',
'ref': nan,
'x': 585557.92616363661,
'y': 4508277.5607709102}),
(42432071,
{'highway': 'traffic_signals',
'lat': 40.7207426,
'lon': -73.98616,
'osmid': '42432071',
'ref': nan,
'x': 585625.0292580839,
'y': 4508251.8343330882}),
(42432073,
{'highway': 'traffic_signals',
'lat': 40.7204887,
'lon': -73.985319,
'osmid': '42432073',
'ref': nan,
'x': 585696.38366198156,
'y': 4508224.4700832246}),
(42432075,
{'highway': 'traffic_signals',
'lat': 40.720233,
'lon': -73.984472,
'osmid': '42432075',
'ref': nan,
'x': 585768.24766637303,
'y': 4508196.9125606623}),
(42432078,
{'highway': 'traffic_signals',
'lat': 40.7197271,
'lon': -73.982796,
'osmid': '42432078',
'ref': nan,
'x': 585910.44999146706,
'y': 4508142.3925106227}),
(42432082,
{'highway': nan,
'lat': 40.7228282,
'lon': -73.9931527,
'osmid': '42432082',
'ref': nan,
'x': 585031.78905693174,
'y': 4508476.5552045181}),
(42432083,
{'highway': 'traffic_signals',
'lat': 40.7224121,
'lon': -73.9916434,
'osmid': '42432083',
'ref': nan,
'x': 585159.78711547912,
'y': 4508431.8279066859}),
(42432085,
{'highway': 'traffic_signals',
'lat': 40.71907,
'lon': -73.99336,
'osmid': '42432085',
'ref': nan,
'x': 585019.06372288254,
'y': 4508059.1691662585}),
(42432091,
{'highway': nan,
'lat': 40.716394,
'lon': -73.984536,
'osmid': '42432091',
'ref': nan,
'x': 585767.76987674693,
'y': 4507770.6954063978}),
(42432094,
{'highway': nan,
'lat': 40.716899,
'lon': -73.9862,
'osmid': '42432094',
'ref': nan,
'x': 585626.57635888853,
'y': 4507825.1300485078}),
(42432095,
{'highway': nan,
'lat': 40.717157,
'lon': -73.98704,
'osmid': '42432095',
'ref': nan,
'x': 585555.29766023881,
'y': 4507852.9511099868}),
(42432097,
{'highway': 'traffic_signals',
'lat': 40.717409,
'lon': -73.987879,
'osmid': '42432097',
'ref': nan,
'x': 585484.11164807505,
'y': 4507880.1077827243}),
(42432099,
{'highway': 'traffic_signals',
'lat': 40.71765,
'lon': -73.988671,
'osmid': '42432099',
'ref': nan,
'x': 585416.90991747007,
'y': 4507906.089770454}),
(42432102,
{'highway': nan,
'lat': 40.7178944,
'lon': -73.9894779,
'osmid': '42432102',
'ref': nan,
'x': 585348.44585759891,
'y': 4507932.4353027483}),
(42432103,
{'highway': nan,
'lat': 40.7181237,
'lon': -73.9902319,
'osmid': '42432103',
'ref': nan,
'x': 585284.46954445611,
'y': 4507957.1566308774}),
(42432105,
{'highway': 'traffic_signals',
'lat': 40.718269,
'lon': -73.990716,
'osmid': '42432105',
'ref': nan,
'x': 585243.39671697118,
'y': 4507972.8158910125}),
(42432108,
{'highway': 'traffic_signals',
'lat': 40.718348,
'lon': -73.990974,
'osmid': '42432108',
'ref': nan,
'x': 585221.50512620457,
'y': 4507981.335019622}),
(42432111,
{'highway': 'traffic_signals',
'lat': 40.718851,
'lon': -73.992621,
'osmid': '42432111',
'ref': nan,
'x': 585081.75821010279,
'y': 4508035.5744085694}),
(42432127,
{'highway': 'traffic_signals',
'lat': 40.724055,
'lon': -74.00438,
'osmid': '42432127',
'ref': nan,
'x': 584082.04564032436,
'y': 4508601.9270609068}),
(42432135,
{'highway': 'traffic_signals',
'lat': 40.723682,
'lon': -74.003635,
'osmid': '42432135',
'ref': nan,
'x': 584145.43310474115,
'y': 4508561.2351997988}),
(42432142,
{'highway': 'traffic_signals',
'lat': 40.723308,
'lon': -74.002982,
'osmid': '42432142',
'ref': nan,
'x': 584201.05274659896,
'y': 4508520.3446447253}),
(42432148,
{'highway': 'traffic_signals',
'lat': 40.72293,
'lon': -74.002174,
'osmid': '42432148',
'ref': nan,
'x': 584269.76852079399,
'y': 4508479.1592082419}),
(42432152,
{'highway': 'traffic_signals',
'lat': 40.722556,
'lon': -74.001403,
'osmid': '42432152',
'ref': nan,
'x': 584335.35517672694,
'y': 4508438.3828908028}),
(42432156,
{'highway': 'traffic_signals',
'lat': 40.722183,
'lon': -74.000657,
'osmid': '42432156',
'ref': nan,
'x': 584398.82990703755,
'y': 4508397.6941234944}),
(42432161,
{'highway': 'traffic_signals',
'lat': 40.721421,
'lon': -73.999031,
'osmid': '42432161',
'ref': nan,
'x': 584537.11889792862,
'y': 4508314.6710768677}),
(42432165,
{'highway': 'traffic_signals',
'lat': 40.721063,
'lon': -73.998196,
'osmid': '42432165',
'ref': nan,
'x': 584608.09349598992,
'y': 4508275.7348560253}),
(42432171,
{'highway': nan,
'lat': 40.720705,
'lon': -73.997349,
'osmid': '42432171',
'ref': nan,
'x': 584680.08233925258,
'y': 4508236.8108765939}),
(42432174,
{'highway': 'traffic_signals',
'lat': 40.7204864,
'lon': -73.9968212,
'osmid': '42432174',
'ref': nan,
'x': 584724.93620385334,
'y': 4508213.0539042903}),
(42432178,
{'highway': 'traffic_signals',
'lat': 40.7201656,
'lon': -73.9960312,
'osmid': '42432178',
'ref': nan,
'x': 584792.06495826948,
'y': 4508178.2054535868}),
(42432181,
{'highway': 'traffic_signals',
'lat': 40.719867,
'lon': -73.99526,
'osmid': '42432181',
'ref': nan,
'x': 584857.57833728869,
'y': 4508145.8037838861}),
(42432184,
{'highway': 'traffic_signals',
'lat': 40.7194567,
'lon': -73.9943905,
'osmid': '42432184',
'ref': nan,
'x': 584931.53659613198,
'y': 4508101.0983062796}),
(42432191,
{'highway': 'traffic_signals',
'lat': 40.73407,
'lon': -73.999653,
'osmid': '42432191',
'ref': nan,
'x': 584468.59001204511,
'y': 4509718.1972408043}),
(42432194,
{'highway': 'traffic_signals',
'lat': 40.734688,
'lon': -73.999973,
'osmid': '42432194',
'ref': nan,
'x': 584440.78760035534,
'y': 4509786.4916719198}),
(42432199,
{'highway': 'traffic_signals',
'lat': 40.735307,
'lon': -74.000356,
'osmid': '42432199',
'ref': nan,
'x': 584407.66475749062,
'y': 4509854.8366392786}),
(42432201,
{'highway': nan,
'lat': 40.735926,
'lon': -74.000722,
'osmid': '42432201',
'ref': nan,
'x': 584375.97795488127,
'y': 4509923.198091384}),
(42432205,
{'highway': nan,
'lat': 40.737168,
'lon': -74.001463,
'osmid': '42432205',
'ref': nan,
'x': 584311.84106030245,
'y': 4510060.3567808587}),
(42432208,
{'highway': 'traffic_signals',
'lat': 40.7376586,
'lon': -74.0017606,
'osmid': '42432208',
'ref': nan,
'x': 584286.0934465928,
'y': 4510114.5310147498}),
...]
In [ ]:
origin_node, destination_node = 3300, 3836
origin_node, destination_node = 915, 3545
origin_node, destination_node = 811, 3693
origin_node, destination_node = 91, 3038
origin_node, destination_node = 2342, 2563
In [177]:
random1 = random.randint(0, 4000)
random2 = random.randint(0, 4000)
print(random1, random2)
# random1, random2 = 2342, 2563
origin_node = node_data[random1][0]
destination_node = node_data[random2][0]
# find the shortest path between origin and destination nodes
route = nx.shortest_path(G5_modified, origin_node, destination_node, weight='length')
fig, ax = ox.plot_graph_route(G5_modified,
route,
origin_point=origin_point,
destination_point=destination_point,
fig_height=10,
node_size=1)
route = nx.shortest_path(G5_projected, origin_node, destination_node, weight='new_weight')
fig, ax = ox.plot_graph_route(G5_projected,
route,
origin_point=origin_point,
destination_point=destination_point,
fig_height=10,
node_size=1)
2847 3246
In [12]:
import pandas as pd
In [12]:
data = pd.read_csv("C:/Users/Sanchez/Desktop/green_tripdata_2016-01.csv",
usecols=['Trip_distance',
'Pickup_longitude',
'Pickup_latitude',
'Dropoff_longitude',
'Dropoff_latitude'])
data.head(10)
Out[12]:
Pickup_longitude
Pickup_latitude
Dropoff_longitude
Dropoff_latitude
Trip_distance
0
-73.928642
40.680611
-73.924278
40.698044
1.46
1
-73.952675
40.723175
-73.923920
40.761379
3.56
2
-73.971611
40.676105
-74.013161
40.646072
3.79
3
-73.989502
40.669579
-74.000648
40.689034
3.01
4
-73.964729
40.682854
-73.940720
40.663013
2.55
5
-73.891144
40.746456
-73.867744
40.742111
1.37
6
-73.896675
40.746197
-73.886192
40.745689
0.57
7
-73.953354
40.803558
-73.949150
40.794121
1.01
8
-73.994064
40.702816
-73.971573
40.679726
2.46
9
-73.914131
40.756641
-73.917549
40.739658
1.61
In [13]:
data = pd.read_csv("C:/Users/Sanchez/Desktop/yellow_tripdata_2016-01.csv", nrows=100)#,
# usecols=['Trip_distance',
# 'Pickup_longitude',
# 'Pickup_latitude',
# 'Dropoff_longitude',
# 'Dropoff_latitude'])
data.head(10)
Out[13]:
VendorID
tpep_pickup_datetime
tpep_dropoff_datetime
passenger_count
trip_distance
pickup_longitude
pickup_latitude
RatecodeID
store_and_fwd_flag
dropoff_longitude
dropoff_latitude
payment_type
fare_amount
extra
mta_tax
tip_amount
tolls_amount
improvement_surcharge
total_amount
0
2
2016-01-01 00:00:00
2016-01-01 00:00:00
2
1.10
-73.990372
40.734695
1
N
-73.981842
40.732407
2
7.5
0.5
0.5
0.0
0.0
0.3
8.8
1
2
2016-01-01 00:00:00
2016-01-01 00:00:00
5
4.90
-73.980782
40.729912
1
N
-73.944473
40.716679
1
18.0
0.5
0.5
0.0
0.0
0.3
19.3
2
2
2016-01-01 00:00:00
2016-01-01 00:00:00
1
10.54
-73.984550
40.679565
1
N
-73.950272
40.788925
1
33.0
0.5
0.5
0.0
0.0
0.3
34.3
3
2
2016-01-01 00:00:00
2016-01-01 00:00:00
1
4.75
-73.993469
40.718990
1
N
-73.962242
40.657333
2
16.5
0.0
0.5
0.0
0.0
0.3
17.3
4
2
2016-01-01 00:00:00
2016-01-01 00:00:00
3
1.76
-73.960625
40.781330
1
N
-73.977264
40.758514
2
8.0
0.0
0.5
0.0
0.0
0.3
8.8
5
2
2016-01-01 00:00:00
2016-01-01 00:18:30
2
5.52
-73.980118
40.743050
1
N
-73.913490
40.763142
2
19.0
0.5
0.5
0.0
0.0
0.3
20.3
6
2
2016-01-01 00:00:00
2016-01-01 00:26:45
2
7.45
-73.994057
40.719990
1
N
-73.966362
40.789871
2
26.0
0.5
0.5
0.0
0.0
0.3
27.3
7
1
2016-01-01 00:00:01
2016-01-01 00:11:55
1
1.20
-73.979424
40.744614
1
N
-73.992035
40.753944
2
9.0
0.5
0.5
0.0
0.0
0.3
10.3
8
1
2016-01-01 00:00:02
2016-01-01 00:11:14
1
6.00
-73.947151
40.791046
1
N
-73.920769
40.865578
2
18.0
0.5
0.5
0.0
0.0
0.3
19.3
9
2
2016-01-01 00:00:02
2016-01-01 00:11:08
1
3.21
-73.998344
40.723896
1
N
-73.995850
40.688400
2
11.5
0.5
0.5
0.0
0.0
0.3
12.8
In [14]:
one_trip = data.loc[41, :]
print(one_trip)
origin_point = one_trip.Pickup_latitude, one_trip.Pickup_longitude
destination_point = one_trip.Dropoff_latitude, one_trip.Dropoff_longitude
origin_node = ox.get_nearest_node(G5, origin_point)
destination_node = ox.get_nearest_node(G5, destination_point)
print(origin_node, destination_node)
# find the shortest path between origin and destination nodes
route = nx.shortest_path(G5, origin_node, destination_node, weight='length')
VendorID 1
tpep_pickup_datetime 2016-01-01 00:00:21
tpep_dropoff_datetime 2016-01-01 00:17:30
passenger_count 1
trip_distance 0.7
pickup_longitude -73.8941
pickup_latitude 40.6366
RatecodeID 1
store_and_fwd_flag Y
dropoff_longitude -73.8925
dropoff_latitude 40.6348
payment_type 2
fare_amount 11
extra 0.5
mta_tax 0.5
tip_amount 0
tolls_amount 0
improvement_surcharge 0.3
total_amount 12.3
Name: 41, dtype: object
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-14-e8413fc8541d> in <module>()
1 one_trip = data.loc[41, :]
2 print(one_trip)
----> 3 origin_point = one_trip.Pickup_latitude, one_trip.Pickup_longitude
4 destination_point = one_trip.Dropoff_latitude, one_trip.Dropoff_longitude
5 origin_node = ox.get_nearest_node(G5, origin_point)
C:\Users\Sanchez\Anaconda3\envs\OSMNX\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
2742 if name in self._info_axis:
2743 return self[name]
-> 2744 return object.__getattribute__(self, name)
2745
2746 def __setattr__(self, name, value):
AttributeError: 'Series' object has no attribute 'Pickup_latitude'
In [23]:
data = pd.DataFrame([d[2] for d in G5.edges(data=True)])#.highway.value_counts()
In [34]:
pd.Series([v for v in data.highway.values if isinstance(v, str)]).value_counts()
Out[34]:
residential 3186
secondary 3019
primary 1688
unclassified 654
tertiary 514
motorway_link 267
motorway 142
trunk 122
primary_link 25
secondary_link 22
tertiary_link 12
trunk_link 9
living_street 2
dtype: int64
In [166]:
street_types = ['motorway']
# street_types = ['residential']
# street_types = ['primary', 'motorway_link', "motorway"]
ec = ['r' if data['highway'] in street_types else 'b' for u, v, key, data in G5_modified.edges(keys=True, data=True)]
fig, ax = ox.plot_graph(G5_modified, fig_height=20, node_size=10, edge_color=ec)
In [ ]:
cache = {}
cache[(G5.nodes()[2], G5.nodes()[6])] = intersections_passed_through(G5, G5.nodes()[2], G5.nodes()[6])
%timeit cache[(G5.nodes()[2], G5.nodes()[6])]
In [ ]:
ms_per_route = .134
total_routes = 1000000000000
cores = 64 # Use multiprocessing
total_machines = 50
total_hours_without_cache = ms_per_route*total_routes/1000/60/cores/total_machines/60
total_hours_without_cache
In [ ]:
11.6*50*.70
It would probably cost about $4000 all said and done. That means we should just take a sample of the data.
Because all we care about is relative counts of the number of times a taxi passes through an intersection, we can make a rough estimate of how many samples we will need.
In [ ]:
intersections = 4000
intersections_per_trip = 10
min_counts_in_intersection = 100
percent_counts_in_min_intersection = 1/intersections * .001
total_intersection_counts = min_counts_in_intersection/percent_counts_in_min_intersection
trips_to_process = total_intersection_counts/intersections_per_trip
trips_to_process
In [ ]:
ms_per_route = 6
total_routes = 40000000
cores = 128 # Use multiprocessing
total_machines = 1
total_hours_without_cache = ms_per_route*total_routes/1000/60/cores/total_machines/60
total_hours_without_cache
This would cost $1.50 and would probably get us the results we need.
This shows that a cache would be great if we had to process the full dataset, but with the smaller dataset, it won't make a large enough impact for it to be worth making a full precomputed cache. Instead, we will just memoize the results.
In [ ]:
%%timeit
m = {}
intersections_passed_through(G5, G5.nodes()[2], G5.nodes()[6], m)
In [ ]:
%%timeit
intersections_passed_through(G5, G5.nodes()[2], G5.nodes()[6], m)
In [ ]:
In [211]:
m = {}
In [10]:
from scipy import spatial
from collections import defaultdict
def intersections_passed_through(G, start, stop, m):
path = m.get((start, stop), None)
if path:
return path
if start == stop:
return []
path = nx.shortest_path(G, start, stop, weight='new_weight')
if len(path) <= 2:
return []
m[(start, stop)] = path
return path
def count_intersection_crosses(green_trip_data, G, GP, m):
"""
green_trip_data: file path to green taxi trip data
G: Graph of Manhattan
m: cache
"""
i = 0
intersection_counts = defaultdict(int)
node_data = GP.nodes(data=True)
node_points = [(d["lat"], d["lon"]) for _, d in node_data]
kdtree = spatial.KDTree(node_points, leafsize=1)
with open(green_trip_data) as trip_data:
for trip in trip_data:
i+=1
if i>5000000:break
t = trip.split(",")[5:9]
try:
t = [float(lat_long) for lat_long in t]
start, stop = (t[1], t[0]), (t[3], t[2])
start_node = node_data[kdtree.query(start)[1]][0]
stop_node = node_data[kdtree.query(stop)[1]][0]
route = intersections_passed_through(G, start_node, stop_node, m)
for p in route:
intersection_counts[p] += 1
except (ValueError, IndexError, nx.NetworkXNoPath):
pass
return intersection_counts
def count_intersection_crosses_yellow(yellow_trip_data, G, GP, m):
"""
green_trip_data: file path to green taxi trip data
G: Graph of Manhattan
m: cache
"""
i = 0
intersection_counts = defaultdict(int)
node_data = GP.nodes(data=True)
node_points = [(d["lat"], d["lon"]) for _, d in node_data]
kdtree = spatial.KDTree(node_points, leafsize=1)
with open(yellow_trip_data) as trip_data:
for trip in trip_data:
i+=1
# if i>50:break
t = trip.split(",")[5:11]
try:
start, stop = (float(t[1]), float(t[0])), (float(t[5]), float(t[4]))
start_node = node_data[kdtree.query(start)[1]][0]
stop_node = node_data[kdtree.query(stop)[1]][0]
route = intersections_passed_through(G, start_node, stop_node, m)
for p in route:
intersection_counts[p] += 1
except (ValueError, IndexError, nx.NetworkXNoPath):
pass
return intersection_counts
In [ ]:
%%time
intersection_counts = count_intersection_crosses("C:/Users/Sanchez/Desktop/green_tripdata_2016-01.csv", G5, G5_projected, m)
In [214]:
%%time
intersection_counts = count_intersection_crosses_yellow("C:/Users/Sanchez/Desktop/yellow_tripdata_2016-01.csv", G5, G5_modified, m)
Wall time: 7h 12min 13s
In [215]:
intersection_counts
Out[215]:
defaultdict(int,
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...})
In [220]:
max_val = max(intersection_counts.values())
colors = [str(round(1-(val/max_val)**.9, 2)) for key, val in intersection_counts.items()]
colors[:10]
Out[220]:
['0.66', '0.59', '0.9', '0.81', '0.79', '0.83', '0.92', '0.91', '0.97', '0.88']
In [221]:
fig, ax = ox.plot_graph(G5_modified, fig_height=25, node_size=15, node_color=colors, edge_color=".1", edge_alpha=.1, save=True)
In [46]:
import pickle
In [219]:
pickle.dump(intersection_counts, open("intersection_counts_yellow_updated.pkl", "wb"))
In [ ]:
data = pickle.load(open("intersection_counts.pkl", "rb"))
In [ ]:
import json
In [ ]:
!wc -l C:/Users/Sanchez/Desktop/green_tripdata_2016-01.csv
In [ ]:
%load_ext line_profiler
In [ ]:
%lprun -f count_intersection_crosses count_intersection_crosses("C:/Users/Sanchez/Desktop/green_tripdata_2016-01.csv", G5, G5_projected, m)
In [13]:
node_data = G5_modified.nodes(data=True)
node_points = [(d["lat"], d["lon"]) for _, d in node_data]
kdtree = spatial.KDTree(node_points, leafsize=1)
accident_data = pd.read_csv("C:/Users/Sanchez/Desktop/NYPD_Motor_Vehicle_Collisions.csv")
accidents = accident_data[accident_data.BOROUGH == "MANHATTAN"]
dates = accidents.DATE.apply(lambda x: x[-4:])
accidents["YEAR"] = dates
accidents.YEAR.value_counts()
C:\Users\Sanchez\Anaconda3\envs\OSMNX\lib\site-packages\ipykernel\__main__.py:8: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
Out[13]:
2015 42497
2013 41577
2014 41247
2016 36728
2012 20716
2017 4708
Name: YEAR, dtype: int64
In [14]:
accidents
Out[14]:
DATE
TIME
BOROUGH
ZIP CODE
LATITUDE
LONGITUDE
LOCATION
ON STREET NAME
CROSS STREET NAME
OFF STREET NAME
...
CONTRIBUTING FACTOR VEHICLE 3
CONTRIBUTING FACTOR VEHICLE 4
CONTRIBUTING FACTOR VEHICLE 5
UNIQUE KEY
VEHICLE TYPE CODE 1
VEHICLE TYPE CODE 2
VEHICLE TYPE CODE 3
VEHICLE TYPE CODE 4
VEHICLE TYPE CODE 5
YEAR
7
07/28/2016
9:38
MANHATTAN
10032.0
40.832766
-73.945824
(40.8327659, -73.9458242)
WEST 155 STREET
BROADWAY
NaN
...
NaN
NaN
NaN
3489979
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2016
15
02/09/2017
8:30
MANHATTAN
10033.0
40.851273
-73.939540
(40.851273, -73.93954)
NaN
NaN
827 WEST 181 STREET
...
Unspecified
NaN
NaN
3613221
SPORT UTILITY / STATION WAGON
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
2017
20
07/27/2016
10:45
MANHATTAN
10036.0
40.758665
-73.987204
(40.7586648, -73.9872039)
NaN
NaN
236 WEST 45 STREET
...
NaN
NaN
NaN
3489191
SMALL COM VEH(4 TIRES)
OTHER
NaN
NaN
NaN
2016
30
07/27/2016
11:00
MANHATTAN
10010.0
40.739523
-73.986850
(40.7395228, -73.9868503)
PARK AVENUE SOUTH
EAST 22 STREET
NaN
...
NaN
NaN
NaN
3489169
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2016
31
05/08/2016
13:35
MANHATTAN
10024.0
40.782630
-73.974983
(40.7826298, -73.9749835)
COLUMBUS AVENUE
WEST 80 STREET
NaN
...
NaN
NaN
NaN
3437482
NaN
NaN
NaN
NaN
NaN
2016
38
02/09/2017
9:26
MANHATTAN
10018.0
40.755867
-73.998215
(40.755867, -73.998215)
WEST 36 STREET
10 AVENUE
NaN
...
NaN
NaN
NaN
3613829
TAXI
PASSENGER VEHICLE
NaN
NaN
NaN
2017
42
07/27/2016
11:07
MANHATTAN
10011.0
NaN
NaN
NaN
7 AVENUE
WEST 16 STREET
NaN
...
NaN
NaN
NaN
3491425
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2016
43
07/27/2016
11:07
MANHATTAN
10025.0
NaN
NaN
NaN
NaN
NaN
216 WEST 102 STREET
...
NaN
NaN
NaN
3491079
PASSENGER VEHICLE
OTHER
NaN
NaN
NaN
2016
45
02/09/2017
9:50
MANHATTAN
10003.0
40.733290
-73.987190
(40.73329, -73.98719)
EAST 14 STREET
3 AVENUE
NaN
...
NaN
NaN
NaN
3613779
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2017
52
07/27/2016
11:50
MANHATTAN
10028.0
40.775292
-73.953626
(40.775292, -73.9536264)
2 AVENUE
EAST 82 STREET
NaN
...
NaN
NaN
NaN
3489252
SMALL COM VEH(4 TIRES)
PASSENGER VEHICLE
NaN
NaN
NaN
2016
67
02/08/2017
10:30
MANHATTAN
10004.0
NaN
NaN
NaN
NaN
NaN
2 west street
...
NaN
NaN
NaN
3612469
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2017
73
07/27/2016
13:19
MANHATTAN
10030.0
40.819335
-73.937659
(40.8193346, -73.9376591)
NaN
NaN
106 WEST 143 STREET
...
NaN
NaN
NaN
3489305
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2016
74
07/27/2016
13:30
MANHATTAN
10018.0
40.748341
-73.984643
(40.7483415, -73.9846434)
NaN
NaN
350 5 AVENUE
...
NaN
NaN
NaN
3489195
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2016
77
07/27/2016
13:36
MANHATTAN
10012.0
40.728890
-73.998257
(40.7288904, -73.9982573)
NaN
NaN
552 LAGUARDIA PLACE
...
NaN
NaN
NaN
3489158
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2016
82
11/15/2016
0:11
MANHATTAN
10039.0
40.824654
-73.938308
(40.8246542, -73.9383081)
NaN
NaN
231 WEST 149 STREET
...
NaN
NaN
NaN
3561585
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2016
92
02/08/2017
11:18
MANHATTAN
10017.0
40.749825
-73.972206
(40.749825, -73.972206)
EAST 42 STREET
2 AVENUE
NaN
...
NaN
NaN
NaN
3612178
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2017
98
07/27/2016
14:15
MANHATTAN
10010.0
40.741351
-73.991213
(40.7413513, -73.9912128)
NaN
NaN
30 WEST 22 STREET
...
NaN
NaN
NaN
3489171
SMALL COM VEH(4 TIRES)
PASSENGER VEHICLE
NaN
NaN
NaN
2016
104
02/08/2017
11:30
MANHATTAN
10010.0
40.738003
-73.983240
(40.738003, -73.98324)
NaN
NaN
205 EAST 22 STREET
...
NaN
NaN
NaN
3612554
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
NaN
2017
106
02/08/2017
12:00
MANHATTAN
10019.0
40.763657
-73.973470
(40.763657, -73.97347)
WEST 58 STREET
5 AVENUE
NaN
...
NaN
NaN
NaN
3612387
TAXI
PASSENGER VEHICLE
NaN
NaN
NaN
2017
113
01/02/2016
23:27
MANHATTAN
10036.0
40.760405
-73.987474
(40.760405, -73.9874743)
WEST 47 STREET
8 AVENUE
NaN
...
NaN
NaN
NaN
3364564
OTHER
PASSENGER VEHICLE
NaN
NaN
NaN
2016
115
02/08/2017
12:00
MANHATTAN
10036.0
40.758217
-73.989070
(40.758217, -73.98907)
NaN
NaN
688 8 AVENUE
...
NaN
NaN
NaN
3612361
VAN
TAXI
NaN
NaN
NaN
2017
120
02/08/2017
12:30
MANHATTAN
10017.0
40.752598
-73.967020
(40.752598, -73.96702)
1 AVENUE
EAST 48 STREET
NaN
...
NaN
NaN
NaN
3612121
PASSENGER VEHICLE
TAXI
NaN
NaN
NaN
2017
128
02/08/2017
14:00
MANHATTAN
10033.0
40.847412
-73.933310
(40.847412, -73.93331)
AUDUBON AVENUE
WEST 179 STREET
NaN
...
NaN
NaN
NaN
3611922
SPORT UTILITY / STATION WAGON
PASSENGER VEHICLE
NaN
NaN
NaN
2017
146
02/08/2017
16:00
MANHATTAN
10004.0
40.706657
-74.015915
(40.706657, -74.015915)
WEST STREET
MORRIS STREET
NaN
...
NaN
NaN
NaN
3613654
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2017
147
02/08/2017
16:00
MANHATTAN
10025.0
40.794052
-73.970375
(40.794052, -73.970375)
AMSTERDAM AVENUE
WEST 96 STREET
NaN
...
NaN
NaN
NaN
3613020
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2017
157
02/08/2017
16:50
MANHATTAN
10029.0
40.792576
-73.937930
(40.792576, -73.93793)
NaN
NaN
2141 1 AVENUE
...
NaN
NaN
NaN
3612476
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2017
165
07/27/2016
17:00
MANHATTAN
10025.0
40.804168
-73.966700
(40.8041684, -73.9667001)
BROADWAY
WEST 110 STREET
NaN
...
NaN
NaN
NaN
3489289
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2016
168
07/27/2016
17:07
MANHATTAN
10009.0
NaN
NaN
NaN
AVENUE B
EAST 3 STREET
NaN
...
NaN
NaN
NaN
3498442
SMALL COM VEH(4 TIRES)
PASSENGER VEHICLE
NaN
NaN
NaN
2016
174
11/14/2016
16:11
MANHATTAN
10001.0
40.755781
-74.001985
(40.7557807, -74.0019852)
11 AVENUE
WEST 34 STREET
NaN
...
NaN
NaN
NaN
3561504
SPORT UTILITY / STATION WAGON
TAXI
NaN
NaN
NaN
2016
175
11/14/2016
16:11
MANHATTAN
10002.0
40.718556
-73.988200
(40.7185558, -73.9882)
DELANCEY STREET
ESSEX STREET
NaN
...
NaN
NaN
NaN
3562164
SPORT UTILITY / STATION WAGON
PASSENGER VEHICLE
NaN
NaN
NaN
2016
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
989639
06/01/2015
19:02
MANHATTAN
10023.0
40.770571
-73.982140
(40.7705708, -73.98214)
WEST 62 STREET
BROADWAY
NaN
...
NaN
NaN
NaN
3232111
VAN
NaN
NaN
NaN
NaN
2015
989640
06/01/2015
19:20
MANHATTAN
10009.0
40.725287
-73.977978
(40.7252872, -73.9779779)
EAST 9 STREET
AVENUE C
NaN
...
NaN
NaN
NaN
3231378
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2015
989653
05/30/2015
9:15
MANHATTAN
10016.0
40.746078
-73.974936
(40.7460781, -73.9749359)
EAST 36 STREET
2 AVENUE
NaN
...
NaN
NaN
NaN
3230767
LIVERY VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2015
989664
05/28/2015
9:30
MANHATTAN
10013.0
40.724403
-74.006039
(40.7244026, -74.0060394)
BROOME STREET
VARICK STREET
NaN
...
NaN
NaN
NaN
3228724
PASSENGER VEHICLE
LIVERY VEHICLE
NaN
NaN
NaN
2015
989671
05/25/2015
11:07
MANHATTAN
10031.0
40.824769
-73.954119
(40.8247687, -73.9541194)
NaN
NaN
640 RIVERSIDE DRIVE
...
NaN
NaN
NaN
3227449
PASSENGER VEHICLE
UNKNOWN
NaN
NaN
NaN
2015
989672
05/25/2015
1:55
MANHATTAN
10039.0
40.831402
-73.935649
(40.831402, -73.9356495)
NaN
NaN
2999 8 AVENUE
...
NaN
NaN
NaN
3227008
AMBULANCE
NaN
NaN
NaN
NaN
2015
989676
05/24/2015
10:33
MANHATTAN
10003.0
40.738488
-73.989950
(40.7384884, -73.9899502)
EAST 19 STREET
BROADWAY
NaN
...
NaN
NaN
NaN
3226464
UNKNOWN
UNKNOWN
NaN
NaN
NaN
2015
989695
05/20/2015
8:09
MANHATTAN
10034.0
40.864463
-73.918943
(40.8644625, -73.9189434)
10 AVENUE
WEST 207 STREET
NaN
...
NaN
NaN
NaN
3224235
SPORT UTILITY / STATION WAGON
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
2015
989701
05/18/2015
9:05
MANHATTAN
10005.0
40.707755
-74.011704
(40.7077552, -74.0117043)
BROADWAY
WALL STREET
NaN
...
NaN
NaN
NaN
3222743
LIVERY VEHICLE
BICYCLE
NaN
NaN
NaN
2015
989719
05/14/2015
20:30
MANHATTAN
10016.0
40.750960
-73.982723
(40.7509597, -73.9827227)
WEST 38 STREET
5 AVENUE
NaN
...
NaN
NaN
NaN
3220963
TAXI
BUS
NaN
NaN
NaN
2015
989720
05/14/2015
8:57
MANHATTAN
10024.0
40.785294
-73.969335
(40.7852936, -73.9693348)
CENTRAL PARK WEST
WEST 86 STREET
NaN
...
Unspecified
NaN
NaN
3220383
SPORT UTILITY / STATION WAGON
SPORT UTILITY / STATION WAGON
SPORT UTILITY / STATION WAGON
NaN
NaN
2015
989731
05/12/2015
14:50
MANHATTAN
10035.0
40.796681
-73.934914
(40.7966809, -73.9349137)
EAST 117 STREET
1 AVENUE
NaN
...
NaN
NaN
NaN
3218970
BUS
BUS
NaN
NaN
NaN
2015
989814
02/19/2013
17:00
MANHATTAN
10065.0
40.767184
-73.962469
(40.7671845, -73.9624695)
EAST 68 STREET
3 AVENUE
NaN
...
NaN
NaN
NaN
47598
PASSENGER VEHICLE
UNKNOWN
NaN
NaN
NaN
2013
989901
01/08/2013
9:50
MANHATTAN
10011.0
40.739861
-73.995017
(40.7398611, -73.9950165)
WEST 18 STREET
6 AVENUE
NaN
...
NaN
NaN
NaN
22989
TAXI
PASSENGER VEHICLE
NaN
NaN
NaN
2013
989912
01/03/2013
15:05
MANHATTAN
10009.0
40.730442
-73.980339
(40.7304423, -73.9803395)
EAST 14 STREET
AVENUE A
NaN
...
NaN
NaN
NaN
22955
PASSENGER VEHICLE
TAXI
NaN
NaN
NaN
2013
989947
12/18/2012
10:55
MANHATTAN
10019.0
40.766145
-73.997235
(40.7661449, -73.9972347)
WEST 49 STREET
WEST SIDE HIGHWAY
NaN
...
NaN
NaN
NaN
39710
VAN
SMALL COM VEH(4 TIRES)
NaN
NaN
NaN
2012
989948
12/18/2012
10:55
MANHATTAN
10024.0
40.787686
-73.975014
(40.7876856, -73.9750141)
WEST 86 STREET
AMSTERDAM AVENUE
NaN
...
NaN
NaN
NaN
58148
PICK-UP TRUCK
NaN
NaN
NaN
NaN
2012
989960
12/12/2012
15:25
MANHATTAN
10025.0
40.805453
-73.965764
(40.8054526, -73.9657639)
BROADWAY
WEST 112 STREET
NaN
...
NaN
NaN
NaN
62532
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2012
990004
11/16/2012
15:35
MANHATTAN
10021.0
40.769120
-73.955039
(40.7691197, -73.9550386)
EAST 74 STREET
1 AVENUE
NaN
...
NaN
NaN
NaN
46486
PICK-UP TRUCK
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
2012
990027
11/01/2012
17:08
MANHATTAN
10013.0
40.720629
-74.005209
(40.7206286, -74.0052093)
LISPENARD STREET
WEST BROADWAY
NaN
...
NaN
NaN
NaN
1129
TAXI
BICYCLE
NaN
NaN
NaN
2012
990055
09/29/2012
7:00
MANHATTAN
10013.0
40.716731
-74.002078
(40.7167311, -74.0020778)
LAFAYETTE STREET
FRANKLIN STREET
NaN
...
NaN
NaN
NaN
5960
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
2012
990080
09/14/2012
16:40
MANHATTAN
10024.0
40.790615
-73.979863
(40.7906152, -73.9798631)
RIVERSIDE DRIVE
WEST 87 STREET
NaN
...
NaN
NaN
NaN
57821
MOTORCYCLE
VAN
NaN
NaN
NaN
2012
990081
09/14/2012
16:45
MANHATTAN
10029.0
40.794755
-73.942348
(40.7947553, -73.9423483)
EAST 111 STREET
3 AVENUE
NaN
...
NaN
NaN
NaN
55773
BUS
PASSENGER VEHICLE
NaN
NaN
NaN
2012
990082
09/14/2012
16:50
MANHATTAN
10037.0
40.820437
-73.936227
(40.8204372, -73.9362273)
WEST 145 STREET
LENOX AVENUE
NaN
...
NaN
NaN
NaN
66591
BICYCLE
UNKNOWN
NaN
NaN
NaN
2012
990089
09/11/2012
1:00
MANHATTAN
10036.0
40.754841
-73.984119
(40.7548409, -73.9841185)
WEST 42 STREET
AVENUE OF THE AMERICAS
NaN
...
NaN
NaN
NaN
26761
TAXI
UNKNOWN
NaN
NaN
NaN
2012
990090
09/11/2012
1:05
MANHATTAN
10010.0
40.740167
-73.984259
(40.7401675, -73.9842592)
LEXINGTON AVENUE
EAST 24 STREET
NaN
...
NaN
NaN
NaN
22187
TAXI
PASSENGER VEHICLE
NaN
NaN
NaN
2012
990126
08/24/2012
21:27
MANHATTAN
10027.0
40.810897
-73.946922
(40.8108965, -73.9469221)
WEST 128 STREET
7 AVENUE
NaN
...
NaN
NaN
NaN
66527
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
NaN
2012
990150
08/09/2012
18:05
MANHATTAN
10001.0
40.754491
-74.006739
(40.7544905, -74.0067388)
WEST 30 STREET
WEST SIDE HIGHWAY
NaN
...
NaN
NaN
NaN
16881
PASSENGER VEHICLE
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
2012
990192
07/29/2012
16:40
MANHATTAN
10013.0
40.719904
-74.002601
(40.7199041, -74.002601)
CANAL STREET
MERCER STREET
NaN
...
NaN
NaN
NaN
296
PASSENGER VEHICLE
LARGE COM VEH(6 OR MORE TIRES)
NaN
NaN
NaN
2012
990261
07/01/2012
4:44
MANHATTAN
10001.0
40.746659
-73.990068
(40.7466595, -73.9900681)
6 AVENUE
WEST 29 STREET
NaN
...
NaN
NaN
NaN
26084
SPORT UTILITY / STATION WAGON
NaN
NaN
NaN
NaN
2012
187473 rows × 30 columns
In [298]:
for year in range(2013, 2017):
yr = str(year)
year_mask = accidents.YEAR == yr
accidents_yr = accidents[year_mask].LOCATION[~accidents.LOCATION.isnull()].values
accident_tuple = [eval(accident) for accident in accidents_yr]
print(len(accident_tuple))
accident_locations = defaultdict(int)
for coordinates in accident_tuple:
dist, loc = kdtree.query(coordinates)
if dist < .0025:
accident_locations[loc] += 1
print(len(accident_locations.values()))
pickle.dump(accident_locations, open("accident_counts_%s.pkl" % yr, "wb"))
41577
3136
41247
3170
42497
3229
30442
3421
In [299]:
ls
Volume in drive C has no label.
Volume Serial Number is CA0D-62CA
Directory of C:\Users\Sanchez\Desktop\dangerous-intersections\traffic-density
04/11/2017 07:23 PM <DIR> .
04/11/2017 07:23 PM <DIR> ..
04/02/2017 02:21 PM <DIR> .ipynb_checkpoints
03/07/2017 09:28 PM 112,401 accident_counts.pkl
04/11/2017 07:23 PM 90,361 accident_counts_2013.pkl
04/11/2017 07:23 PM 91,347 accident_counts_2014.pkl
04/11/2017 07:23 PM 93,058 accident_counts_2015.pkl
04/11/2017 07:23 PM 98,626 accident_counts_2016.pkl
03/05/2017 11:20 PM <DIR> cache
04/11/2017 07:23 PM 2,038,080 Demo of road networks.ipynb
03/05/2017 08:47 PM <DIR> docs
04/02/2017 02:21 PM 190,740 Exploratory notebook.ipynb
04/02/2017 05:13 PM <DIR> images
03/07/2017 09:34 PM 1 intersection_counts.json
03/06/2017 02:44 AM 36,999 intersection_counts.pkl
03/07/2017 10:52 AM 44,448 intersection_counts_yellow.pkl
04/03/2017 12:35 AM 46,620 intersection_counts_yellow_updated.pkl
03/07/2017 09:36 PM 832,888 nodes_to_coordinates.pkl
03/05/2017 08:47 PM 1,744,290 NYC Intersection Data Exploration 2.ipynb
03/05/2017 08:47 PM <DIR> sample_data
13 File(s) 5,419,859 bytes
7 Dir(s) 79,374,073,856 bytes free
In [26]:
intersection_data = G5_projected.nodes(data=True)
node_names
In [35]:
temp = set(["cat", "dog"])
In [39]:
def to_intersection(s):
t = sorted(list(s))
return " & ".join(t[:2])
to_intersection(temp)
Out[39]:
'cat & dog'
In [44]:
for node_id, data in intersection_data:
names = node_names.get(node_id, set())
data["intersection_name"] = to_intersection(names)
In [47]:
pickle.dump(intersection_data, open("nodes_to_coordinates.pkl", "wb"))
Content source: JasonSanchez/dangerous-intersections
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