In [1]:
# Make all plots inline.
%matplotlib inline
# Import dependencies
import folium
import numpy as np
import pandas as pd
import pickle
from matplotlib import pyplot as plt
from IPython.core.display import display
In [2]:
# Load accident data.
accident_data = pd.read_csv('./data/NYPD_Motor_Vehicle_Collisions_sampled.csv')
In [3]:
accident_data.head()
Out[3]:
DATE
TIME
BOROUGH
ZIP CODE
LATITUDE
LONGITUDE
LOCATION
ON STREET NAME
CROSS STREET NAME
OFF STREET NAME
...
CONTRIBUTING FACTOR VEHICLE 2
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
0
06/18/2016
5:20
BRONX
10456.0
40.824067
-73.908710
(40.8240665, -73.9087095)
EAST 163 STREET
3 AVENUE
NaN
...
Unspecified
NaN
NaN
NaN
3463614
PASSENGER VEHICLE
NaN
NaN
NaN
NaN
1
06/18/2016
7:10
BRONX
10472.0
40.826916
-73.872030
(40.8269163, -73.8720302)
METCALF AVENUE
WATSON AVENUE
NaN
...
Unspecified
NaN
NaN
NaN
3464214
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
2
06/18/2016
7:20
NaN
NaN
40.701455
-73.989620
(40.7014547, -73.9896203)
NaN
NaN
NaN
...
Unspecified
NaN
NaN
NaN
3463782
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
3
06/18/2016
7:30
NaN
NaN
NaN
NaN
NaN
47 STREET
NaN
NaN
...
Unspecified
NaN
NaN
NaN
3465413
PASSENGER VEHICLE
OTHER
NaN
NaN
NaN
4
06/18/2016
7:45
QUEENS
11422.0
40.665256
-73.735334
(40.665256, -73.7353338)
SOUTH CONDUIT AVENUE
FRANCIS LEWIS BOULEVARD
NaN
...
Unspecified
NaN
NaN
NaN
3463318
PASSENGER VEHICLE
PASSENGER VEHICLE
NaN
NaN
NaN
5 rows × 29 columns
In [4]:
accident_data.describe()
Out[4]:
ZIP CODE
LATITUDE
LONGITUDE
NUMBER OF PERSONS INJURED
NUMBER OF PERSONS KILLED
NUMBER OF PEDESTRIANS INJURED
NUMBER OF PEDESTRIANS KILLED
NUMBER OF CYCLIST INJURED
NUMBER OF CYCLIST KILLED
NUMBER OF MOTORIST INJURED
NUMBER OF MOTORIST KILLED
UNIQUE KEY
count
6395.000000
6687.000000
6687.000000
10000.000000
10000.000000
10000.000000
10000.000000
10000.000000
10000.0
10000.000000
10000.000000
1.000000e+04
mean
10846.141048
40.723501
-73.917075
0.253500
0.000900
0.057600
0.000600
0.013900
0.0
0.206300
0.000400
3.554134e+06
std
554.570810
0.079065
0.086132
0.625361
0.029988
0.260939
0.024489
0.131562
0.0
0.702417
0.024493
1.272283e+05
min
10000.000000
40.504925
-74.247136
0.000000
0.000000
0.000000
0.000000
0.000000
0.0
0.000000
0.000000
1.259120e+05
25%
10309.000000
40.667784
-73.974463
0.000000
0.000000
0.000000
0.000000
0.000000
0.0
0.000000
0.000000
3.525040e+06
50%
11207.000000
40.721536
-73.926085
0.000000
0.000000
0.000000
0.000000
0.000000
0.0
0.000000
0.000000
3.586995e+06
75%
11238.000000
40.767516
-73.861872
0.000000
0.000000
0.000000
0.000000
0.000000
0.0
0.000000
0.000000
3.605235e+06
max
11697.000000
40.912295
-73.700597
12.000000
1.000000
6.000000
1.000000
3.000000
0.0
14.000000
2.000000
3.612908e+06
In [5]:
# Num rows in data.
print(accident_data.count())
DATE 10000
TIME 10000
BOROUGH 6396
ZIP CODE 6395
LATITUDE 6687
LONGITUDE 6687
LOCATION 6687
ON STREET NAME 6610
CROSS STREET NAME 5197
OFF STREET NAME 2174
NUMBER OF PERSONS INJURED 10000
NUMBER OF PERSONS KILLED 10000
NUMBER OF PEDESTRIANS INJURED 10000
NUMBER OF PEDESTRIANS KILLED 10000
NUMBER OF CYCLIST INJURED 10000
NUMBER OF CYCLIST KILLED 10000
NUMBER OF MOTORIST INJURED 10000
NUMBER OF MOTORIST KILLED 10000
CONTRIBUTING FACTOR VEHICLE 1 9950
CONTRIBUTING FACTOR VEHICLE 2 8320
CONTRIBUTING FACTOR VEHICLE 3 700
CONTRIBUTING FACTOR VEHICLE 4 196
CONTRIBUTING FACTOR VEHICLE 5 40
UNIQUE KEY 10000
VEHICLE TYPE CODE 1 9779
VEHICLE TYPE CODE 2 7002
VEHICLE TYPE CODE 3 623
VEHICLE TYPE CODE 4 173
VEHICLE TYPE CODE 5 34
dtype: int64
In [39]:
# Map data.
# Starting coordinates to load map view.
NYC_coordinates = (40.7142700, -74.0059700)
# Create Map object.
map = folium.Map(location=NYC_coordinates,
zoom_start=12)
# Creating different tile layers
cycle_tile = folium.TileLayer(tiles = 'http://b.tile.opencyclemap.org/cycle/{z}/{x}/{y}.png', attr='Attributed').add_to(map)
cycle_tile.layer_name = 'Cycling Route Map'
# Create a feature group for controlling multiple aspects
col_group = folium.FeatureGroup(name='Collisions').add_to(map)
injury_group = folium.FeatureGroup(name='Injuries').add_to(map)
# Plot accidents.
# Limit number of points to plot for testing.
MAX_RECORDS = 1000
collision_cluster = folium.MarkerCluster().add_to(col_group)
for row in accident_data[0:MAX_RECORDS].iterrows():
# Only plot point if lat/long is available.
if (not np.isnan(row[1]['LATITUDE']) and not np.isnan(row[1]['LONGITUDE'])):
accident_metadata = """
<ul>
<li><strong>On street</strong>: {0}</li>
<li><strong>Cross street</strong>: {1}</li>
<li><strong>Reason</strong>: {2}</li>
</ul>""".format(
str(row[1]['ON STREET NAME']), str(row[1]['CROSS STREET NAME']),
str(row[1]['CONTRIBUTING FACTOR VEHICLE 1']))
iframe = folium.element.IFrame(html=accident_metadata, width=250, height=100)
popup = folium.Popup(iframe, max_width=2650)
folium.Marker(
location = [row[1]['LATITUDE'], row[1]['LONGITUDE']],
icon = folium.Icon(color='red', icon='asterisk'),
popup=popup).add_to(collision_cluster)
# Create new cluster group for cyclist injuries
bike_cluster = folium.MarkerCluster().add_to(injury_group)
for row in accident_data[0:MAX_RECORDS].iterrows():
# Only plot point if lat/long is available.
if (not np.isnan(row[1]['LATITUDE']) and not np.isnan(row[1]['LONGITUDE']) and row[1]['NUMBER OF CYCLIST INJURED'] >= 1 or row[1]['NUMBER OF CYCLIST KILLED'] >= 1):
accident_metadata = """
<ul>
<li><strong>On street</strong>: {0}</li>
<li><strong>Cross street</strong>: {1}</li>
<li><strong>Cyclists Injured</strong>: {2}</li>
<li><strong>Cyclists Killed</strong>: {3}</li>
</ul>""".format(
str(row[1]['ON STREET NAME']), str(row[1]['CROSS STREET NAME']),
str(row[1]['NUMBER OF CYCLIST INJURED']), str(row[1]['NUMBER OF CYCLIST KILLED']))
iframe = folium.element.IFrame(html=accident_metadata, width=250, height=100)
popup = folium.Popup(iframe, max_width=2650)
folium.Marker(
location = [row[1]['LATITUDE'], row[1]['LONGITUDE']],
icon = folium.Icon(color='blue', icon='asterisk'),
popup=popup).add_to(bike_cluster)
# Create new cluster group for pedestrian injuries
ped_cluster = folium.MarkerCluster().add_to(injury_group)
for row in accident_data[0:MAX_RECORDS].iterrows():
# Only plot point if lat/long is available.
if (not np.isnan(row[1]['LATITUDE']) and not np.isnan(row[1]['LONGITUDE']) and row[1]['NUMBER OF PEDESTRIANS INJURED'] >= 1 or row[1]['NUMBER OF PEDESTRIANS KILLED'] >= 1):
accident_metadata = """
<ul>
<li><strong>On street</strong>: {0}</li>
<li><strong>Cross street</strong>: {1}</li>
<li><strong>Pedestrians Injured</strong>: {2}</li>
<li><strong>Pedestrians Killed</strong>: {3}</li>
</ul>""".format(
str(row[1]['ON STREET NAME']), str(row[1]['CROSS STREET NAME']),
str(row[1]['NUMBER OF PEDESTRIANS INJURED']), str(row[1]['NUMBER OF PEDESTRIANS KILLED']))
iframe = folium.element.IFrame(html=accident_metadata, width=250, height=100)
popup = folium.Popup(iframe, max_width=2650)
folium.Marker(
location = [row[1]['LATITUDE'], row[1]['LONGITUDE']],
icon = folium.Icon(color='green', icon='asterisk'),
popup=popup).add_to(ped_cluster)
# Create new cluster group for automobile injuries
auto_cluster = folium.MarkerCluster().add_to(injury_group)
for row in accident_data[0:MAX_RECORDS].iterrows():
# Only plot point if lat/long is available.
if (not np.isnan(row[1]['LATITUDE']) and not np.isnan(row[1]['LONGITUDE']) and row[1]['NUMBER OF MOTORIST INJURED'] >= 1 or row[1]['NUMBER OF MOTORIST KILLED'] >= 1):
accident_metadata = """
<ul>
<li><strong>On street</strong>: {0}</li>
<li><strong>Cross street</strong>: {1}</li>
<li><strong>Motorists Injured</strong>: {2}</li>
<li><strong>Motorists Killed</strong>: {3}</li>
</ul>""".format(
str(row[1]['ON STREET NAME']), str(row[1]['CROSS STREET NAME']),
str(row[1]['NUMBER OF MOTORIST INJURED']), str(row[1]['NUMBER OF MOTORIST KILLED']))
iframe = folium.element.IFrame(html=accident_metadata, width=250, height=100)
popup = folium.Popup(iframe, max_width=2650)
folium.Marker(
location = [row[1]['LATITUDE'], row[1]['LONGITUDE']],
icon = folium.Icon(color='red', icon='asterisk'),
popup=popup).add_to(auto_cluster)
# layer names for items separately
# collision_cluster.layer_name = 'Collisions'
# bike_cluster.layer_name = 'Cyclist Injuries'
# ped_cluster.layer_name = 'Pedestrian Injuries'
folium.LayerControl().add_to(map)
map
Out[39]:
<folium.map.LayerControl at 0x11ff43a20>
In [194]:
data2 = np.array(data)
np.mean(data2[:,2])
Out[194]:
0.025723311791993848
In [ ]:
# Save html version of map.
map.save('accidents_map.html')
In [7]:
# Load pickle files containing aggregate data.
import pickle
agg_accident_data = pickle.load(open("./data/accident_counts.pkl", "rb"))
agg_traffic_data = pickle.load(open("./data/intersection_counts_yellow.pkl", "rb"))
nodes_to_coord_data = pickle.load(open("./data/nodes_to_coordinates.pkl", "rb"))
In [8]:
# Get sizes of data sets.
print(len(agg_accident_data))
print(len(agg_traffic_data))
print(len(nodes_to_coord_data))
3894
4471
4483
In [13]:
# Print accident dataset.
print(str(agg_accident_data))
defaultdict(<class 'int'>, {0: 21, 1: 19, 2: 58, 3: 34, 5: 16, 7: 37, 8: 50, 10: 23, 11: 10, 12: 37, 13: 21, 14: 16, 15: 12, 16: 23, 17: 44, 18: 50, 19: 31, 21: 30, 22: 23, 23: 11, 24: 70, 26: 7, 27: 46, 28: 62, 30: 18, 31: 15, 32: 23, 33: 1, 34: 50, 35: 3, 36: 35, 37: 44, 38: 42, 39: 27, 40: 47, 41: 38, 43: 13, 44: 13, 45: 152, 46: 7, 47: 38, 48: 42, 49: 28, 50: 18, 51: 28, 53: 2, 54: 2, 55: 3, 56: 39, 57: 14, 58: 87, 59: 127, 60: 7, 61: 27, 62: 1, 63: 65, 64: 5, 66: 140, 67: 65, 69: 389, 70: 40, 71: 76, 72: 32, 73: 35, 74: 134, 75: 1, 77: 1, 78: 83, 79: 35, 80: 25, 81: 2, 82: 1, 84: 27, 85: 100, 86: 13, 88: 161, 90: 7, 91: 18, 93: 44, 95: 199, 96: 51, 97: 105, 98: 20, 99: 561, 100: 269, 101: 5, 102: 32, 103: 3, 104: 313, 106: 55, 107: 20, 111: 1, 112: 2, 113: 71, 114: 69, 115: 93, 117: 23, 119: 19, 120: 19, 121: 499, 122: 52, 125: 40, 126: 57, 127: 39, 128: 38, 129: 58, 130: 27, 131: 78, 133: 72, 134: 120, 135: 13, 136: 47, 137: 2, 138: 11, 140: 32, 141: 94, 142: 79, 143: 6, 144: 50, 145: 2, 146: 34, 148: 44, 149: 106, 151: 2, 152: 11, 154: 32, 156: 31, 157: 2, 161: 57, 164: 1, 165: 43, 166: 2, 168: 1, 169: 13, 171: 4, 172: 16, 173: 84, 174: 27, 176: 41, 177: 2, 179: 10, 180: 71, 182: 23, 183: 30, 184: 28, 185: 29, 186: 37, 187: 156, 188: 105, 189: 28, 190: 32, 191: 21, 192: 36, 193: 28, 194: 15, 195: 11, 196: 28, 197: 32, 198: 21, 199: 70, 200: 19, 201: 8, 202: 32, 203: 31, 204: 19, 205: 39, 206: 6, 207: 6, 208: 5, 209: 3, 210: 23, 212: 2, 213: 53, 214: 45, 215: 19, 216: 43, 217: 187, 218: 19, 219: 21, 220: 47, 221: 77, 222: 57, 223: 15, 224: 42, 226: 25, 227: 26, 228: 106, 229: 58, 230: 95, 231: 67, 232: 89, 233: 36, 234: 55, 235: 76, 236: 18, 237: 14, 238: 98, 239: 64, 240: 64, 241: 54, 242: 89, 243: 136, 244: 103, 245: 2, 246: 23, 247: 13, 248: 13, 249: 30, 250: 13, 251: 13, 252: 20, 253: 33, 254: 17, 255: 11, 256: 174, 257: 26, 258: 7, 259: 38, 260: 11, 261: 52, 262: 3, 263: 53, 264: 56, 265: 134, 266: 117, 267: 112, 268: 69, 269: 179, 270: 37, 271: 76, 272: 22, 273: 1, 274: 10, 275: 16, 276: 32, 277: 29, 278: 96, 279: 33, 280: 48, 281: 96, 282: 20, 283: 18, 284: 21, 285: 9, 286: 7, 287: 13, 288: 2, 289: 176, 290: 8, 291: 184, 292: 273, 293: 261, 294: 60, 295: 39, 296: 51, 297: 65, 298: 131, 299: 32, 300: 113, 301: 130, 302: 138, 303: 83, 304: 53, 305: 51, 306: 61, 307: 43, 308: 46, 309: 78, 310: 43, 311: 42, 312: 43, 313: 44, 314: 33, 315: 38, 316: 54, 317: 40, 318: 31, 319: 37, 320: 51, 321: 47, 322: 47, 323: 27, 324: 53, 326: 8, 327: 15, 328: 57, 329: 49, 330: 47, 331: 14, 332: 76, 333: 16, 334: 18, 335: 7, 336: 47, 337: 16, 338: 10, 339: 35, 340: 37, 341: 47, 342: 28, 343: 27, 344: 62, 345: 26, 346: 51, 347: 6, 348: 25, 349: 47, 350: 67, 351: 58, 352: 28, 353: 58, 354: 48, 355: 67, 356: 44, 357: 39, 358: 35, 359: 57, 360: 49, 361: 37, 362: 112, 363: 248, 364: 144, 365: 101, 366: 63, 367: 84, 368: 61, 369: 64, 370: 48, 371: 73, 372: 58, 373: 61, 374: 123, 375: 74, 376: 1, 377: 72, 378: 59, 379: 14, 380: 1, 381: 14, 382: 45, 383: 19, 384: 14, 385: 47, 386: 91, 387: 54, 388: 60, 389: 18, 390: 71, 391: 48, 392: 47, 393: 52, 394: 64, 395: 14, 396: 379, 397: 19, 398: 74, 399: 88, 400: 124, 401: 106, 402: 2, 403: 19, 404: 36, 405: 31, 406: 19, 407: 24, 408: 26, 409: 52, 410: 44, 411: 30, 412: 39, 413: 57, 414: 59, 415: 107, 416: 18, 417: 70, 419: 3, 420: 1, 421: 6, 422: 106, 423: 83, 424: 2, 425: 2, 426: 3, 428: 70, 429: 4, 431: 3, 432: 1, 434: 1, 438: 1, 439: 3, 443: 1, 450: 2, 451: 1, 452: 1, 454: 1, 455: 1, 456: 3, 461: 1, 462: 2, 463: 1, 465: 1, 467: 47, 468: 2, 469: 1, 470: 8, 475: 32, 476: 1, 477: 2, 479: 2, 480: 5, 481: 1, 482: 1, 483: 1, 485: 1, 486: 3, 487: 2, 490: 1, 491: 1, 495: 1, 497: 1, 498: 2, 501: 2, 503: 5, 504: 58, 505: 44, 506: 40, 507: 42, 508: 33, 509: 47, 510: 34, 511: 64, 512: 1, 513: 6, 514: 142, 515: 78, 516: 89, 517: 31, 518: 33, 519: 72, 520: 20, 521: 33, 522: 60, 523: 27, 524: 31, 525: 41, 526: 47, 527: 28, 528: 29, 529: 30, 530: 19, 531: 129, 532: 51, 533: 54, 534: 105, 535: 146, 536: 53, 537: 33, 538: 25, 539: 28, 541: 20, 542: 1, 543: 30, 544: 55, 545: 1, 546: 113, 547: 116, 548: 147, 549: 88, 550: 1, 551: 14, 552: 13, 553: 20, 554: 13, 555: 82, 556: 88, 557: 50, 558: 24, 559: 27, 560: 5, 561: 34, 562: 55, 563: 22, 564: 17, 565: 17, 566: 30, 567: 4, 568: 18, 569: 18, 570: 5, 571: 6, 572: 66, 573: 53, 574: 7, 575: 35, 576: 44, 577: 21, 579: 71, 580: 32, 581: 39, 582: 210, 585: 1, 586: 8, 587: 19, 588: 49, 589: 29, 590: 32, 591: 40, 593: 21, 594: 26, 595: 88, 596: 123, 597: 66, 598: 69, 599: 58, 600: 50, 601: 76, 602: 26, 603: 31, 605: 34, 606: 54, 607: 88, 608: 84, 609: 9, 610: 14, 611: 4, 612: 9, 613: 19, 614: 11, 615: 9, 616: 42, 617: 14, 618: 28, 619: 19, 620: 19, 621: 15, 622: 15, 624: 295, 625: 2, 627: 235, 628: 6, 629: 169, 630: 290, 631: 128, 632: 4, 633: 1, 635: 4, 636: 2, 637: 11, 638: 24, 639: 1, 640: 4, 641: 13, 642: 13, 643: 4, 644: 37, 645: 29, 646: 5, 647: 29, 648: 69, 649: 55, 650: 1, 651: 44, 652: 59, 653: 92, 654: 18, 655: 128, 656: 8, 657: 14, 658: 36, 659: 40, 660: 58, 661: 69, 662: 137, 663: 305, 664: 116, 665: 19, 666: 52, 667: 38, 668: 20, 670: 4, 671: 94, 672: 82, 673: 74, 674: 135, 675: 40, 676: 19, 677: 40, 679: 39, 680: 50, 681: 90, 682: 60, 683: 16, 684: 69, 685: 40, 686: 39, 687: 64, 688: 19, 689: 6, 690: 5, 691: 165, 692: 1, 693: 8, 694: 19, 695: 27, 696: 41, 697: 17, 698: 20, 699: 54, 700: 104, 701: 29, 702: 71, 703: 91, 704: 73, 705: 61, 706: 109, 707: 277, 708: 57, 709: 80, 710: 85, 711: 120, 712: 172, 713: 101, 714: 274, 715: 126, 716: 140, 717: 139, 718: 153, 719: 123, 720: 145, 721: 162, 722: 120, 723: 229, 724: 132, 725: 152, 726: 171, 727: 135, 728: 169, 729: 127, 730: 80, 731: 348, 732: 133, 733: 159, 734: 170, 735: 112, 736: 145, 737: 147, 738: 144, 739: 136, 740: 155, 741: 140, 742: 179, 743: 181, 744: 131, 745: 163, 746: 319, 747: 138, 748: 201, 749: 1, 750: 35, 752: 63, 753: 46, 754: 81, 755: 74, 756: 9, 759: 12, 760: 34, 761: 29, 764: 34, 765: 72, 766: 36, 767: 38, 768: 79, 769: 49, 770: 179, 771: 19, 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4212: 37, 4213: 30, 4214: 25, 4215: 39, 4216: 22, 4217: 52, 4219: 38, 4220: 15, 4222: 19, 4223: 13, 4224: 1, 4230: 1, 4233: 1, 4236: 16, 4237: 3, 4240: 184, 4241: 33, 4242: 29, 4243: 49, 4244: 83, 4247: 15, 4248: 13, 4251: 1, 4252: 1, 4253: 1, 4254: 4, 4255: 5, 4256: 6, 4258: 43, 4259: 9, 4260: 38, 4261: 9, 4263: 55, 4264: 4, 4265: 42, 4266: 4, 4267: 5, 4268: 45, 4269: 50, 4270: 46, 4271: 6, 4272: 7, 4273: 4, 4274: 13, 4275: 2, 4276: 7, 4277: 1, 4278: 36, 4279: 42, 4280: 2, 4281: 3, 4282: 52, 4283: 83, 4284: 1, 4285: 73, 4286: 13, 4290: 23, 4292: 1, 4293: 4, 4296: 1, 4298: 92, 4299: 2, 4300: 1, 4302: 5, 4303: 84, 4304: 14, 4305: 7, 4306: 22, 4307: 34, 4308: 19, 4309: 1, 4310: 8, 4311: 1, 4312: 200, 4315: 13, 4316: 27, 4319: 93, 4320: 31, 4321: 19, 4323: 1, 4324: 269, 4325: 1, 4328: 68, 4329: 49, 4330: 17, 4331: 77, 4333: 78, 4334: 79, 4335: 198, 4337: 1, 4339: 75, 4341: 20, 4342: 11, 4343: 19, 4347: 1, 4348: 6, 4351: 167, 4353: 7, 4355: 6, 4357: 38, 4359: 58, 4360: 40, 4362: 346, 4363: 2, 4364: 27, 4365: 44, 4367: 58, 4368: 69, 4369: 5, 4370: 13, 4371: 39, 4372: 1, 4373: 1, 4374: 42, 4376: 27, 4377: 95, 4378: 5, 4379: 7, 4380: 3, 4381: 2, 4382: 3, 4384: 20, 4386: 6, 4387: 5, 4388: 1, 4393: 48, 4394: 22, 4395: 34, 4399: 4, 4401: 41, 4404: 8, 4406: 7, 4408: 32, 4411: 384, 4413: 2, 4414: 18, 4418: 64, 4419: 1, 4420: 127, 4422: 181, 4423: 4, 4424: 5, 4426: 160, 4427: 337, 4428: 212, 4430: 120, 4433: 6, 4434: 1, 4437: 2, 4439: 48, 4441: 71, 4442: 102, 4445: 1, 4446: 49, 4447: 3, 4448: 8, 4449: 61, 4450: 66, 4451: 83, 4452: 47, 4453: 91, 4454: 112, 4455: 63, 4456: 49, 4457: 63, 4458: 126, 4459: 68, 4460: 99, 4461: 74, 4462: 196, 4463: 74, 4464: 91, 4465: 59, 4466: 128, 4467: 1, 4468: 62, 4469: 1, 4470: 50, 4471: 39, 4472: 73, 4473: 10, 4478: 2, 4482: 43})
In [10]:
print(agg_traffic_data)
defaultdict(<class 'int'>, {42459137: 321667, 1773060099: 75696, 373268484: 82193, 42426374: 18676, 1773060097: 77976, 42445484: 25331, 60929249: 171, 42442764: 254, 42452598: 21488, 278609934: 157252, 42435928: 970, 42442770: 148, 42442755: 501, 42430468: 12180, 1773076509: 56068, 1773076511: 66388, 1773076513: 165125, 1773076514: 72073, 42444123: 38073, 42442788: 37545, 4163940359: 2221, 42459180: 24357, 3574612293: 562, 42430231: 272204, 42439392: 133177, 370892861: 288718, 42433205: 87, 42422283: 160733, 42451018: 209503, 42435415: 208, 246890579: 22344, 42442836: 78657, 42442766: 213, 42442838: 110454, 370922852: 29412, 42442842: 168890, 42442843: 122925, 42442848: 144540, 42442850: 128780, 42442851: 185950, 42429960: 24099, 42442857: 171316, 4149936235: 18914, 42438674: 97994, 42442862: 159884, 561035355: 54631, 4149936245: 801, 42442870: 167307, 42427846: 80, 42442877: 185102, 42442881: 186644, 274342021: 15574, 42445505: 35012, 274342024: 15667, 42442889: 237881, 42442891: 210288, 42442895: 184720, 42442898: 186354, 42442902: 214554, 42437316: 228, 42442906: 194537, 42442910: 195210, 42442913: 200024, 42434722: 121, 42442918: 265147, 42435953: 4520, 42439905: 534, 42437319: 2391, 42454240: 786, 42434589: 24, 42447399: 6687, 42442931: 296783, 42442933: 290078, 42451126: 86651, 42442935: 289343, 42442937: 397240, 42442939: 214311, 1764647101: 8358, 1764647103: 1867, 1764647104: 10315, 42442947: 212321, 1764647108: 1840, 42442949: 378481, 42442952: 215874, 42442955: 209775, 1061531682: 115665, 42442959: 164644, 42442960: 174025, 42442961: 140171, 42442963: 201595, 42422053: 31159, 595314041: 9, 42434780: 13, 596776314: 5541, 42446885: 5108, 1506902240: 35394, 42442977: 189765, 42446604: 197, 42442983: 177718, 42431868: 2384, 274336609: 17, 42427773: 68, 42434800: 269277, 60928040: 83, 42434807: 232139, 42443000: 167941, 246923513: 18336, 42434810: 274378, 42453717: 10200, 42443009: 166046, 42455083: 37826, 42434821: 95267, 42440065: 887, 42434827: 17194, 42443020: 155697, 3786728737: 183, 4375208206: 15884, 42434832: 31282, 42434833: 199, 42443027: 164373, 42443029: 119768, 42434839: 30032, 42443032: 98762, 60925316: 99, 42434842: 32311, 4616536348: 155970, 42434845: 170952, 4616536351: 168096, 4616536352: 158096, 42443042: 67459, 42449627: 1719, 42443044: 72589, 1632878885: 1584, 42443046: 56797, 42434855: 2457, 42443048: 57224, 42426665: 341, 1773076778: 60189, 486859051: 23, 42443052: 31693, 42443054: 51933, 4685462237: 119284, 42443056: 92471, 42440072: 631, 42443058: 22525, 42443061: 22068, 42426678: 3212, 42434871: 18150, 42443066: 16980, 42443068: 17328, 42443072: 14662, 2141035232: 128, 42440075: 200, 42443077: 15600, 42443078: 13079, 42431877: 10784, 42443081: 10004, 42443085: 11103, 42434894: 23789, 42434895: 8555, 42443088: 6886, 42434898: 22939, 42443092: 17810, 42443096: 4942, 42434905: 91625, 42443099: 4893, 42440376: 993, 42434910: 189388, 42434912: 19635, 42443105: 3775, 1061531707: 259074, 42431889: 52167, 42443116: 5023, 42443118: 3382, 42443119: 3213, 100522728: 131053, 1632878962: 2495, 42443127: 95076, 42426747: 13507, 588546891: 20821, 42434946: 293148, 42434948: 270390, 42448278: 7893, 42434951: 98379, 42449644: 977, 42434954: 158390, 246579597: 21760, 42434959: 285161, 1632878994: 169446, 3630219668: 2516, 42434965: 257370, 42434969: 7581, 42434974: 290141, 279152444: 31, 3904954787: 518, 3904954788: 249138, 3904954791: 383, 42451370: 7947, 247120300: 10662, 42443181: 1758, 4235734223: 26735, 42427805: 194532, 42434992: 2069, 42426804: 453, 595703198: 8147, 373780553: 24, 42435002: 463, 42459579: 12, 2567558468: 35, 42433269: 5909, 42426816: 15625, 2481877067: 5611, 42445558: 155401, 60921163: 10, 595314036: 1489, 42427290: 18625, 486867405: 36654, 1506599377: 59459, 1506599378: 62960, 42440104: 513, 42454893: 16, 60925991: 259, 1061531727: 103946, 247120348: 489, 278642478: 140, 4443775464: 292152, 4443775465: 339404, 42430546: 3563, 42426865: 122823, 42459636: 141, 42426875: 62676, 60924412: 2, 61240933: 41, 42443263: 64660, 42443264: 44513, 486867459: 44507, 42443268: 54984, 42430550: 103742, 42439286: 94552, 2837768961: 197, 42456492: 3994, 1989931095: 68, 42443280: 102570, 42443296: 378051, 42443298: 95040, 1825841700: 545820, 246579753: 51216, 42446941: 174928, 42443313: 80201, 42422366: 247, 42443320: 359704, 486867513: 53937, 42443326: 101768, 42436021: 2268, 2141026495: 3669, 42443329: 93213, 42443332: 94072, 42443336: 119871, 42443341: 83216, 1825841742: 282637, 1825841743: 545798, 42443344: 87970, 42436024: 62625, 42443346: 84238, 42443347: 86269, 370893396: 152949, 42443349: 62770, 42438160: 1617, 373850916: 2356, 42426968: 548, 42443353: 101591, 1825841754: 225669, 42426971: 1353, 486867548: 34758, 595703226: 18341, 371188320: 74204, 42443363: 56697, 592405093: 705, 42443366: 47592, 42445585: 4968, 370705004: 17559, 42443373: 57435, 42448317: 293440, 595245843: 7801, 592405108: 14805, 42443381: 74536, 42443388: 70686, 42435197: 32, 42435198: 1798, 42427009: 4246, 1773121033: 236526, 42435207: 4589, 42427016: 942, 42451593: 100457, 42443403: 50484, 358447541: 16749, 42450089: 348, 42443406: 26786, 371337227: 3246, 761293090: 505, 42451604: 30796, 42443413: 35375, 42435222: 29581, 1775176473: 132661, 2499757469: 56288, 42432161: 19328, 42427036: 5408, 42435230: 3228, 42435231: 9013, 42443426: 18814, 42436832: 114, 42435237: 169214, 1764405361: 741, 42435240: 2023, 42459820: 8853, 1764405362: 754, 2481865390: 100373, 42435250: 181175, 1764405363: 1033, 42435253: 184430, 42435257: 189650, 42435261: 237125, 246858431: 75253, 42435264: 221606, 42435265: 146112, 42435266: 136569, 246858435: 94064, 42435269: 135774, 42435272: 135062, 42435275: 186311, 42451660: 107741, 246858445: 51776, 42427086: 17486, 246858448: 77621, 246858449: 45282, 42435283: 150621, 42451674: 402573, 42429981: 191487, 42443486: 66, 42435295: 150699, 42443488: 23, 42446971: 234666, 541467364: 36036, 42435301: 147727, 42427112: 14767, 42427115: 14505, 42435308: 199578, 42440146: 7244, 42435310: 276688, 42451695: 87756, 42435312: 185565, 42427122: 14245, 42435316: 163561, 42435317: 156265, 42427126: 13981, 42435319: 145504, 42427128: 13783, 42443513: 106643, 42435323: 138678, 42427133: 13833, 60925728: 14, 42435328: 129761, 42443522: 30870, 42435331: 95635, 42443524: 164, 42435333: 91821, 42435335: 90842, 42435336: 89273, 42435337: 87473, 42427146: 8996, 42436055: 24989, 42443532: 167194, 42435341: 86164, 42427150: 8164, 42435343: 85188, 42427152: 11518, 42432165: 26631, 42435346: 76528, 42427156: 11098, 42427159: 10998, 42451736: 280, 42434105: 1403, 2141026551: 9816, 42429231: 398, 42427164: 10884, 42443549: 12919, 42435359: 25326, 42451744: 227368, 1764405364: 20, 42435362: 10167, 42443556: 322987, 42425758: 515, 42445617: 18112, 42443561: 184933, 42451754: 217898, 42438791: 201725, 595338029: 95, 1506591534: 16087, 596788016: 172701, 42427185: 7821, 42443570: 11305, 42435380: 4406, 589927902: 187, 42451766: 72716, 42429236: 272, 42435387: 5593, 42435388: 30120, 42451773: 67524, 42443582: 699, 42435392: 22334, 1764746049: 1, 588546882: 18362, 42430603: 63588, 42435396: 16383, 42435398: 10532, 42427873: 107, 42435400: 172875, 42451787: 175878, 42427212: 2992, 42427216: 1412, 42435412: 2043, 42438798: 120996, 42437433: 161080, 42446991: 192076, 42435420: 216347, 42443613: 200608, 42435422: 276152, 42443615: 79852, 42443618: 320863, 595245883: 253, 42427236: 7362, 42443621: 177, 42429244: 321, 42427242: 13879, 42435435: 8125, 42446994: 162898, 42427249: 5576, 42427251: 107079, 42440079: 2652, 1762221470: 1344, 42427881: 1592, 42427256: 24494, 42435451: 22748, 42435456: 8493, 42444267: 570, 42424531: 1413, 42443658: 2328, 42446999: 153578, 1538237325: 27474, 42435470: 29071, 42435472: 20974, 42427281: 17564, 42443666: 4040, 60926787: 11, 42431666: 222, 42435477: 23129, 42443671: 144741, 61269398: 9, 42443674: 143460, 42443676: 81778, 42443677: 25142, 246858654: 24800, 673008453: 12309, 42443680: 442353, 42454538: 1237, 42435491: 82497, 42427300: 35591, 427845226: 20123, 42435497: 136178, 42435499: 174797, 42427311: 18631, 42435504: 117471, 42427891: 1154, 42427316: 42568, 42435509: 148589, 42427319: 23422, 42435514: 284661, 42447007: 135885, 42427324: 44266, 42435518: 181828, 42427327: 34848, 62915521: 16049, 42435522: 143749, 4602414021: 180220, 42427335: 161041, 42427337: 18805, 62915531: 16780, 42427340: 74583, 42435534: 56086, 62915536: 17754, 42427345: 19723, 42427346: 19015, 42435541: 19821, 371196888: 8941, 42451932: 48, 62915549: 23109, 42427358: 52567, 42435553: 18621, 42435556: 18606, 42445649: 333133, 42427369: 140538, 42427371: 300555, 371188750: 1684, 42427374: 210507, 42436093: 41943, 42427381: 259330, 42438825: 2295, 42453177: 16824, 42435578: 90486, 427841023: 6339, 42435581: 103639, 42427390: 95948, 42435583: 90361, 42427393: 28245, 42435596: 320673, 42432002: 4185, 42435598: 247700, 42435599: 255316, 42451987: 13094, 42427412: 9914, 42443799: 3290, 42435610: 250706, 42443804: 155581, 42427423: 329680, 42435618: 261814, 42443811: 180267, 42452006: 47328, 42435624: 308725, 42443817: 16382, 42443818: 28844, 42443819: 15131, 42435629: 260568, 42452015: 180233, 42435632: 257990, 42435633: 281379, 42443826: 447, 371337241: 534, 2141002590: 114, 486876216: 1, 3579426871: 1794, 42435642: 356623, 42435644: 367001, 42435645: 337528, 42435646: 368283, 42433539: 40114, 1905863520: 14365, 42435650: 390147, 42443844: 10653, 42430646: 73259, 42435654: 359630, 42441569: 10481, 42452040: 73652, 42435657: 386047, 42435660: 408058, 42435663: 397845, 42452048: 27011, 42435668: 384616, 42427477: 150966, 374475605: 315, 42435671: 397679, 42452056: 21294, 42435675: 364184, 42435677: 380169, 61271527: 52, 42435680: 371319, 595481001: 1081, 42452067: 167772, 42435684: 385847, 42427494: 21491, 42435687: 349456, 42452076: 109489, 42427504: 3954, 42447419: 295, 42427507: 9461, 42452084: 119874, 42435702: 341645, 42435705: 328457, 246580346: 44717, 42442943: 215013, 42435710: 331659, 42427519: 692, 42435714: 339868, 42427523: 269, 42435716: 362152, 42448406: 2353, 42452107: 48433, 42449656: 299, 42427538: 688, 42452117: 16082, 42435736: 33500, 42442948: 216983, 42433542: 41006, 42427030: 5654, 427841050: 829, 42435743: 31132, 42435746: 30051, 486868138: 3431, 1061531847: 113774, 42453183: 125615, 42443950: 241162, 589927965: 427, 42435761: 28796, 42441587: 13439, 42435766: 23933, 42452365: 159772, 60925113: 16, 42443965: 173598, 42435775: 22840, 3786728642: 3, 496707000: 5816, 42443975: 118140, 42435785: 20858, 42429452: 1533, 42442957: 185376, 42435794: 15079, 4142105811: 3276, 4142105812: 19883, 4142105813: 22332, 42428634: 146765, 246909446: 1659, 42435802: 14206, 42435803: 13143, 246580444: 48287, 42435805: 16393, 4142105822: 50694, 42435807: 11329, 4618691808: 95665, 42430271: 386230, 42435810: 11136, 3275488123: 58, 4288677093: 258130, 3786728678: 4000, 3786728679: 3714, 42433404: 62298, 42435825: 12487, 246580466: 47283, 1272562931: 16339, 4562863353: 2722, 42444028: 339, 42435837: 8892, 42427649: 112, 42435844: 8782, 42435850: 7395, 42444043: 389817, 42435852: 7077, 4321748237: 168256, 4321748238: 142792, 42435856: 6918, 42444049: 229811, 42435858: 6523, 42444051: 395569, 42435860: 5453, 42448430: 2593, 42435863: 4923, 42435865: 4751, 42444060: 1028, 42435869: 4368, 42437755: 23553, 42435873: 3746, 42435876: 4259, 42444069: 1415, 427841073: 541, 42435880: 3246, 42435881: 2102, 3786876205: 23008, 42447069: 149152, 42444081: 523, 3786876211: 5764, 42435894: 2030, 42435898: 1954, 3846772721: 41, 42445620: 1684, 42435904: 413, 42444097: 1928, 42452290: 20309, 42435910: 7423, 42438255: 471, 42444108: 25148, 42435920: 1462, 42435921: 12732, 42435922: 3119, 42430691: 52887, 42444116: 26753, 42435925: 1275, 42452310: 21378, 42427735: 5975, 42428926: 8731, 42452314: 26297, 42435931: 140924, 42427742: 14387, 42427744: 27308, 42444129: 40846, 42427747: 362, 42435940: 12551, 42430694: 54240, 42427750: 176, 42435943: 568, 589927996: 146, 42452330: 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383, 42432897: 61391, 42446571: 193243, 4680481156: 14391, 4680481158: 1216, 42432905: 59461, 42441099: 3790, 42432908: 78746, 42441104: 3747, 42432917: 65271, 246913431: 8165, 42449308: 196173, 42432926: 65609, 42432928: 66125, 42432929: 66293, 42449314: 287748, 42432931: 52210, 42432932: 52333, 42432933: 51429, 42432936: 51819, 486867534: 35994, 42432085: 54148, 42429541: 1470, 42432949: 49587, 42432950: 49823, 589298105: 75087, 42432954: 47868, 42432955: 47966, 42432956: 48022, 42432957: 48240, 42432960: 48408, 42432961: 51479, 42432963: 51412, 42432966: 48637, 42432967: 48466, 42432970: 48135, 588593611: 27618, 42432974: 46025, 42432975: 45658, 42441169: 2754, 42432980: 45018, 42424789: 25430, 42432983: 44559, 42432985: 45169, 42432990: 44268, 42435360: 12428, 42432992: 42881, 42436724: 1848, 42432994: 42084, 42432999: 40044, 589927878: 241, 42449390: 1162, 302095403: 18, 42422530: 2139, 42433011: 36895, 42441204: 78, 42433014: 43438, 42453417: 80672, 42433017: 3139, 42433020: 40539, 1763608189: 763, 42433024: 40185, 589298178: 2017, 42433027: 39950, 42449413: 25166, 42433030: 37278, 42437472: 14209, 42433035: 36842, 42449422: 19618, 42433041: 2986, 4168209028: 357, 42424851: 180676, 42433044: 3910, 427842069: 6594, 42433046: 3638, 42424864: 3592, 42433057: 3486, 42433058: 3387, 42427483: 98983, 42433060: 3295, 42433062: 3182, 42433064: 2991, 42433066: 2735, 42455694: 291052, 42433068: 2475, 42433069: 2395, 42436181: 20115, 42441263: 6920, 42433072: 2201, 42433075: 2101, 42433077: 2006, 486849242: 2, 42433080: 1911, 42457660: 39131, 42449333: 114705, 42441283: 510, 42424758: 217, 42439728: 229, 42433097: 1771, 42424679: 635, 42433107: 1623, 42424761: 275, 42433115: 1525, 427842140: 3385, 42428858: 12511, 42424932: 1580, 3734911590: 7398, 588455698: 171067, 42449341: 72288, 42433138: 1194, 42422035: 575, 42428863: 17097, 42433151: 1166, 42457728: 33933, 593926788: 218, 42449345: 25095, 42433161: 66945, 1764424330: 334, 42433163: 104192, 42433165: 69870, 42449550: 148819, 1764424337: 919, 42433173: 62915, 60928608: 270, 42446617: 1309, 1764424345: 271, 1764424347: 213, 1764424349: 272, 42449570: 23865, 1764424355: 978, 2824895141: 12014, 42441382: 1008, 42440004: 235950, 42428144: 275, 42449580: 36168, 42449582: 10139, 42435891: 2195, 42449589: 38707, 42453349: 209, 42449593: 24133, 42457788: 91650, 42449597: 122191, 42449600: 115884, 42433218: 22105, 42437067: 38683, 595436274: 17, 1769708232: 469, 42449007: 164241, 1769708236: 364, 42449613: 80213, 272194254: 21227, 42433231: 1512, 42446825: 27794, 42433237: 1536, 42452008: 38085, 42437005: 3130, 1733614298: 77001, 42433243: 22428, 42457821: 51662, 42449631: 1608, 4685462240: 113542, 42449634: 1531, 42435707: 332021, 42433252: 67969, 42449637: 1418, 42449639: 1199, 42433256: 6175, 42449641: 1029, 246890279: 46506, 42433260: 14313, 42433261: 46349, 42433264: 24940, 42422056: 42535, 100522741: 135091, 42449654: 514, 42433272: 8019, 42433275: 14719, 42433278: 1983, 42425088: 283, 42433281: 91666, 42433282: 14592, 278608643: 38744, 42433286: 26804, 587987721: 11272, 42433292: 11242, 42433295: 10708, 2383895312: 124, 42433298: 82926, 42449683: 100479, 42449685: 274449, 42433302: 2003, 42432097: 211, 42449689: 45454, 42449691: 90279, 42437082: 6948, 42439813: 152502, 595245859: 6830, 595245860: 90, 1996323622: 219203, 42425127: 15403, 42437084: 63803, 247085867: 14965, 42433324: 1426, 42441521: 4334, 42433330: 8353, 42441526: 4779, 42433339: 5519, 596776074: 84905, 42434357: 35047, 595245889: 33, 42433346: 70, 42427531: 380, 42457925: 128473, 42430263: 296835, 278608718: 24832, 42456205: 31041, 42442552: 76470, 390519635: 247530, 42457940: 127237, 596776078: 201747, 587812665: 207, 4557495130: 97256, 42441564: 10172, 595245918: 6434, 1506445797: 5802, 595245920: 8696, 42433377: 3708, 42442555: 57915, 42425188: 211, 595245925: 7486, 42433385: 3694, 42441191: 2724, 42437071: 2407, 3275488110: 737, 596776083: 89204, 3275488116: 2595, 42442559: 57944, 3584752508: 80676, 254342293: 148, 42433408: 57374, 42449801: 218, 593886226: 281, 42449804: 256, 42433421: 815, 42433422: 977, 42425232: 147613, 42443928: 38403, 246889362: 52114, 596776089: 187608, 589298584: 1771, 42449817: 71980, 42425242: 277, 42428912: 11416, 1919595912: 39225, 42449828: 3379, 42449833: 17183, 42438471: 5015, 42428914: 9506, 42449840: 11390, 3772840882: 19564, 42449843: 169397, 42441654: 2228, 42434377: 85457, 42430282: 325560, 42428917: 9007, 42439840: 208361, 42441668: 1878, 42423101: 1301, 42441670: 2339, 589929417: 62361, 42437111: 1321, 42431650: 181253, 42449874: 49503, 42437559: 39097, 42437113: 55318, 60927823: 2118, 42437114: 144890, 42449886: 194641, 42441695: 578, 42434384: 7439, 42449890: 236377, 42449893: 229912, 374463462: 12, 60927825: 2078, 42441704: 183, 42433513: 1373, 587933855: 58, 42442578: 26171, 1764387325: 30982, 42445310: 109959, 42448674: 481, 42449918: 224935, 42458112: 23329, 42433537: 45577, 42435755: 29227, 42425348: 548, 42449926: 225478, 42433543: 38899, 42449928: 296400, 42433545: 43655, 42433547: 27491, 42449932: 301743, 42433549: 17368, 42433550: 15950, 42433551: 16529, 42433553: 14273, 42433554: 153478, 42433555: 5358, 42433557: 11215, 42449942: 269335, 593886231: 904, 42449945: 512456, 42449947: 393002, 42449948: 394605, 42433565: 101309, 42433567: 116396, 42433569: 11700, 42449954: 398086, 587812699: 137, 42449956: 219214, 42433573: 42102, 42433574: 29064, 42427196: 4535, 42449961: 213041, 42433578: 48327, 42449963: 244663, 593886252: 148, 42438785: 261896, 42441774: 403, 42442589: 16990, 42428833: 20209, 42449971: 244576, 42449979: 259315, 1815133244: 133298, 42449982: 261687, 254342115: 20, 42449985: 279654, 427850819: 1261, 42433604: 274348, 42449991: 230510, 42425417: 1368, 42457476: 226074, 42433611: 424694, 42441805: 2943, 42439864: 1403, 42433620: 369861, 4202908174: 42869, 427850840: 878, 42433625: 163761, 587988061: 2741, 42441823: 2913, 374472690: 1268, 42450025: 295721, 42438503: 288612, 42433644: 100877, 3702296507: 304, 42450030: 230780, 589298803: 21525, 42450037: 180081, 371337175: 3854, 42450044: 184814, 42438506: 112582, 42450048: 85983, 2499827795: 1240, 42450052: 27231, 370924677: 74279, 42450055: 23005, 42450057: 22728, 42428951: 5251, 42425484: 2522, 42450061: 19303, 42446701: 262402, 42450066: 19959, 42450071: 17415, 589100228: 60172, 371211418: 22, 42458267: 32793, 4420411218: 212, 1764400286: 1139, 42435861: 7282, 1764400288: 23706, 42430320: 382630, 60917021: 321, 42450083: 5796, 1764400292: 702, 42436202: 16539, 42441895: 3621, 1764400297: 30401, 1764400298: 1330, 42441899: 2730, 1764400300: 30340, 1764400302: 1335, 42441903: 1929, 42433712: 19521, 1764400306: 5220, 42433715: 11157, 1807940789: 197, 1764400310: 28930, 42441913: 1885, 4081416473: 82587, 3639382768: 68270, 1764400318: 5247, 42438295: 647, 589520065: 893, 1773055862: 2, 42441926: 8952, 42458313: 13132, 42433743: 52357, 60918583: 102, 4597668028: 206732, 42441942: 7869, 42430329: 294727, 278608420: 5658, 42441947: 2285, 42458333: 129829, 42441950: 1699, 42428965: 2591, 42441952: 1355, 42441953: 987, 42425570: 114472, 1241742563: 121990, 42441956: 4171, 42441254: 4664, 42458342: 24514, 1692450029: 199177, 42442621: 9626, 593984752: 739, 42452026: 74274, 61275380: 12408, 42433781: 992, 42457209: 837, 3786728660: 1015, 42433789: 2369, 765367023: 29, 42433797: 11858, 42438529: 141798, 42433800: 1015, 42453548: 15023, 358448394: 151811, 595295501: 6566, 4679523598: 26179, 42428973: 2752, 42438531: 166488, 42439897: 1163, 42442628: 7963, 42428975: 1999, 42433821: 5425, 42433822: 36161, 4629486879: 4388, 1241742627: 127180, 42433834: 10525, 595254571: 2131, 4597668031: 265875, 42446728: 2866, 4618691806: 34557, 595352889: 123, 595352897: 2179, 42458435: 17, 42450080: 7160, 595352904: 4819, 42442058: 3007, 595352907: 15, 42437177: 23701, 42433881: 3519, 42430352: 306918, 42450275: 388, 42435814: 11272, 42442750: 536, 595352935: 1517, 587934268: 754, 42444461: 180767, 42450290: 249, 42443574: 1052, 42425718: 2, 42442107: 19789, 246857084: 53220, 42442645: 6231, 42433927: 134497, 42445757: 45504, 42442123: 2597, 42428994: 51888, 60929261: 1986, 42442128: 2786, 42425747: 842, 42450325: 36061, 1241742743: 80617, 486864450: 3, 370924955: 6790, 42428640: 126909, 42442142: 3957, 42454214: 136, 42446849: 24982, 42450341: 127602, 374463910: 215, 42453575: 21613, 42442158: 80684, 4347534767: 303778, 4347534768: 116414, 595729841: 7850, 42443534: 154490, 42442164: 80679, 607911351: 235, 3099327930: 2514, 3099327931: 1557, 595729852: 208, 595729853: 1289, 4347534783: 202916, 3099327937: 2734, 3099327940: 1355, 42459041: 24086, 3099327944: 1791, 3099327945: 1556, 2504882466: 1384, 3099327948: 1449, 2821304137: 110809, 3099327951: 1296, 61275600: 7876, 61275601: 18540, 42430371: 275670, 42429006: 47263, 42453792: 67, 42439929: 254, 3099327961: 1269, 3099327962: 3838, 3099327964: 18364, 3099327965: 3274, 3099327966: 5100, 3099327968: 2637, 3099327970: 1730, 42433212: 1010, 3099327972: 2474, 3099327974: 41789, 248708583: 7953, 3099327976: 1115, 1251958257: 8725, 1692433907: 156323, 42442230: 16691, 1692433911: 81634, 42450426: 197215, 1692433916: 197372, 1692433918: 83626, 1692433919: 210513, 1692433920: 77915, 42450434: 120517, 1692433924: 60608, 42442247: 51517, 1692433928: 141843, 42424757: 966, 1692433932: 101476, 42442255: 34531, 1692433938: 148979, 1692433939: 68041, 1692433940: 129453, 1692433941: 101789, 1692433942: 80342, 4332563033: 28680, 42434072: 252411, 42434074: 310408, 42440916: 2272, 42450460: 27844, 42442269: 26620, 42427768: 109, 42442273: 77844, 42447126: 130300, 42442276: 83472, 42434085: 227624, 402480678: 42308, 42434087: 396337, 4158807592: 154237, 205019740: 11802, 42434090: 216966, 42434092: 24628, 42442286: 24437, 42442288: 12548, 42434097: 10112, 42434098: 20030, 42442291: 48672, 42434101: 774, 42442294: 70915, 42422258: 3043, 42434110: 5764, 42434111: 2674, 42434113: 10199, 42446036: 149084, 42434117: 2975, 42453601: 60892, 42434122: 8139, 42446775: 11204, 42448141: 1464, 42434129: 1454, 42434131: 1043, 3099327952: 8163, 42434134: 2472, 1669480023: 2826, 42425945: 121, 42434140: 395327, 42430394: 493595, 42434142: 205405, 42445413: 244239, 42434145: 84348, 42425955: 24150, 42434148: 46905, 42425959: 195, 42458728: 1454, 42453607: 29277, 42434156: 190655, 42434158: 57328, 42434160: 93215, 42434161: 7219, 246890098: 46485, 42439955: 419581, 42434165: 31602, 3831856758: 178424, 4597668042: 185725, 42434169: 49873, 4708064890: 24722, 42434172: 183852, 42453354: 820, 42434175: 44059, 370897467: 282, 2141002593: 262, 42434179: 127306, 42429242: 205, 42444055: 21664, 42458766: 89083, 42442384: 519, 1544809889: 5647, 42434196: 231677, 42434197: 23670, 42436716: 77040, 42434201: 207014, 4477147271: 36, 42434205: 82936, 1538237248: 5767, 42423579: 466, 2099150501: 9368, 42434215: 57655, 42442410: 86898, 3099327955: 2386, 42442415: 100068, 42442417: 78960, 42434226: 19329, 205020852: 76736, 42442422: 90324, 42442697: 2575, 42434233: 184105, 42424823: 175, 42434237: 3195, 42442432: 315501, 42439968: 342404, 4332563027: 62092, 272195270: 156908, 272195271: 128322, 272195272: 34393, 42434249: 6213, 42450634: 77218, 42434251: 5026, 272195276: 13056, 42442445: 127744, 42424218: 10758, 1061531597: 219647, 42450641: 77177, 42442451: 132801, 42434262: 9790, 42434264: 1160, 42442459: 134319, 42434268: 128329, 42434270: 205827, 42442463: 138607, 42442469: 124157, 42434279: 143412, 42426089: 18143, 3099327957: 3540, 42442475: 96683, 42434285: 82113, 42442480: 130752, 1773084402: 169081, 42450675: 60704, 1773084405: 188487, 1773084407: 146032, 1773084410: 120797, 42442492: 77494, 42450688: 31560, 42434306: 432, 42434308: 3534, 42442502: 81276, 42434314: 1041, 60928695: 2, 42441951: 1319, 42431789: 95543, 588455697: 26854, 42442514: 70441, 588455700: 1162, 588455701: 141665, 1544809872: 379, 42426135: 1009, 42426138: 185, 42442528: 101613, 42434338: 655, 42434340: 7290, 42442534: 109929, 42434343: 3830, 42457735: 33007, 42442542: 83138, 42434352: 123682, 593854257: 12912, 42434354: 19625, 42434355: 28788, 42442549: 67431, 42434358: 16412, 4616503095: 221933, 42434360: 30500, 42434361: 3120, 588455738: 1196, 371225085: 180349, 42426172: 3075, 42442557: 58395, 588455742: 73887, 588455743: 168502, 42442561: 59337, 42434370: 166, 42434372: 292, 42442565: 54908, 42442567: 37657, 42442569: 44199, 42442571: 37252, 42442722: 1582, 42434382: 22879, 42442575: 30644, 42458960: 68333, 42434385: 19326, 42434386: 14554, 42434389: 182828, 42444954: 157995, 42442584: 32207, 42442586: 17649, 42431802: 127929, 278609760: 25084, 42436390: 48557, 42442596: 16787, 42431804: 120635, 42434410: 3756, 42434412: 59518, 42434413: 23381, 42442609: 12121, 42434418: 21303, 42434420: 22390, 42442613: 11540, 2499802997: 37189, 42442618: 9881, 42434427: 20304, 42434428: 8313, 42434429: 7967, 42450814: 90765, 591454081: 37213, 42434434: 96776, 42450820: 112097, 589298326: 180, 3786728724: 162, 42434439: 82391, 42442635: 7017, 42442638: 6640, 42442733: 1021, 42431044: 73922, 42442642: 6443, 1533280147: 2832, 4478001045: 41237, 42431812: 107964, 42442651: 6368, 42442656: 6683, 42434465: 6282, 42431992: 20508, 42442659: 5560, 596776132: 88583, 42442664: 7405, 370914027: 1249, 62915514: 19361, 1061531634: 179561, 589928030: 7910, 42442671: 43875, 588455857: 27068, 588455858: 401, 1205714869: 254, 1205714871: 56, 42442684: 40272, 3884569931: 172896, 278609863: 24832, 42435916: 7823, 42442702: 2235, 42442703: 2210, 42442710: 2091, 42459098: 195329, 60921167: 9, 42442717: 1970, 1205714910: 171, 42453669: 1695, 42433229: 137215, 42442723: 1410, 42442728: 1187, 42424334: 69, 42459114: 292378, 42437287: 193937, 279151954: 11009, 42442734: 898, 42449576: 48712, 42442738: 833, 42435923: 2536, 42442741: 712, 42445481: 20002, 42442745: 606, 1506445821: 9927, 373268478: 3332, 42434559: 119})
In [11]:
print(nodes_to_coord_data)
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(42421751, {'y': 4517317.6214588294, 'lon': -73.970054, 'x': 586879.07380520157, 'osmid': '42421751', 'ref': nan, 'highway': nan, 'lat': 40.8022682}), (42421769, {'y': 4515132.8774666963, 'lon': -73.9749879, 'x': 586488.35834397585, 'osmid': '42421769', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7826312}), (42421772, {'y': 4515262.9375207862, 'lon': -73.9778254, 'x': 586247.38394269417, 'osmid': '42421772', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.783828}), (42421775, {'y': 4515343.4788722955, 'lon': -73.9795827, 'x': 586098.14984667348, 'osmid': '42421775', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7845691}), (42421776, {'y': 4515393.6899548359, 'lon': -73.9806779, 'x': 586005.14436290669, 'osmid': '42421776', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7850311}), (42421778, {'y': 4515454.8139766185, 'lon': -73.9820114, 'x': 585891.90409287298, 'osmid': '42421778', 'ref': nan, 'highway': nan, 'lat': 40.7855935}), (42421783, {'y': 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-74.0030836, 'x': 584186.76765973645, 'osmid': '4321677346', 'ref': nan, 'highway': nan, 'lat': 40.7278344}), (4321748237, {'y': 4509091.4574252022, 'lon': -74.0027912, 'x': 584210.68277651723, 'osmid': '4321748237', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7284512}), (4321748238, {'y': 4509081.362615725, 'lon': -74.0028304, 'x': 584207.48664489517, 'osmid': '4321748238', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7283606}), (4332563027, {'y': 4514018.7746545551, 'lon': -73.9769772, 'x': 586333.47352808807, 'osmid': '4332563027', 'ref': nan, 'highway': nan, 'lat': 40.7726126}), (4332563033, {'y': 4513990.5627772277, 'lon': -73.9767678, 'x': 586351.47666144196, 'osmid': '4332563033', 'ref': nan, 'highway': nan, 'lat': 40.7723566}), (4347534767, {'y': 4513130.0772403972, 'lon': -73.9736247, 'x': 586626.83290563861, 'osmid': '4347534767', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7645771}), (4347534768, {'y': 4513191.2902911603, 'lon': -73.9730592, 'x': 586673.85235418915, 'osmid': '4347534768', 'ref': nan, 'highway': nan, 'lat': 40.7651235}), (4347534783, {'y': 4513166.7582635386, 'lon': -73.972553, 'x': 586716.86947782291, 'osmid': '4347534783', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.764898}), (4347550065, {'y': 4513530.9464241127, 'lon': -73.9814928, 'x': 585958.00554013043, 'osmid': '4347550065', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.768258}), (4347550071, {'y': 4513505.7987531042, 'lon': -73.9814067, 'x': 585965.56510336301, 'osmid': '4347550071', 'ref': nan, 'highway': nan, 'lat': 40.7680307}), (4347550074, {'y': 4513469.3915765947, 'lon': -73.9810182, 'x': 585998.78087787237, 'osmid': '4347550074', 'ref': nan, 'highway': nan, 'lat': 40.7676993}), (4375208206, {'y': 4507583.8470492782, 'lon': -73.982426, 'x': 585948.17555062624, 'osmid': '4375208206', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7146922}), (4420411218, {'y': 4516872.9778000331, 'lon': -73.9664643, 'x': 587187.16428988357, 'osmid': '4420411218', 'ref': nan, 'highway': nan, 'lat': 40.7982306}), (4443775464, {'y': 4511454.5747713037, 'lon': -73.9952961, 'x': 584816.66325393133, 'osmid': '4443775464', 'ref': nan, 'highway': nan, 'lat': 40.7496742}), (4443775465, {'y': 4511523.7685915018, 'lon': -73.9948451, 'x': 584853.94959771982, 'osmid': '4443775465', 'ref': nan, 'highway': nan, 'lat': 40.7502936}), (4461990857, {'y': 4511529.4081972977, 'lon': -73.9911201, 'x': 585168.39106245642, 'osmid': '4461990857', 'ref': nan, 'highway': nan, 'lat': 40.7503119}), (4477147269, {'y': 4507696.4156749658, 'lon': -73.9948695, 'x': 584895.70696125284, 'osmid': '4477147269', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7158153}), (4477147270, {'y': 4507703.7096622651, 'lon': -73.9950294, 'x': 584882.11598712113, 'osmid': '4477147270', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7158824}), (4477147271, {'y': 4507690.2456610501, 'lon': -73.9953614, 'x': 584854.22441682301, 'osmid': '4477147271', 'ref': nan, 'highway': nan, 'lat': 40.715764}), (4478001045, {'y': 4508450.4774462814, 'lon': -73.9870975, 'x': 585543.54860163131, 'osmid': '4478001045', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7225403}), (4487582555, {'y': 4507195.1451833779, 'lon': -73.9896446, 'x': 585342.84591381939, 'osmid': '4487582555', 'ref': nan, 'highway': nan, 'lat': 40.711254}), (4487582556, {'y': 4507351.7050991002, 'lon': -73.9898655, 'x': 585322.38360751502, 'osmid': '4487582556', 'ref': nan, 'highway': nan, 'lat': 40.7126663}), (4487582557, {'y': 4507275.7586611705, 'lon': -73.9897583, 'x': 585332.31326952367, 'osmid': '4487582557', 'ref': nan, 'highway': nan, 'lat': 40.7119812}), (4491359481, {'y': 4512081.2994773509, 'lon': -73.9950091, 'x': 584833.71832434752, 'osmid': '4491359481', 'ref': nan, 'highway': nan, 'lat': 40.7553175}), (4491359483, {'y': 4512134.2817672081, 'lon': -73.9945744, 'x': 584869.81076184125, 'osmid': '4491359483', 'ref': nan, 'highway': nan, 'lat': 40.755791}), (4506716195, {'y': 4507716.7951776618, 'lon': -73.9954452, 'x': 584846.84175643127, 'osmid': '4506716195', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7160039}), (4515465264, {'y': 4520468.4334114892, 'lon': -73.9401576, 'x': 589363.23122649244, 'osmid': '4515465264', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.8303809}), (4557482266, {'y': 4513473.731855371, 'lon': -73.9816187, 'x': 585948.04260449845, 'osmid': '4557482266', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7677437}), (4557495130, {'y': 4514193.8753783489, 'lon': -73.9811168, 'x': 585982.04387467762, 'osmid': '4557495130', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7742266}), (4557517549, {'y': 4511654.9381558923, 'lon': -73.997716, 'x': 584610.05837474111, 'osmid': '4557517549', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7515002}), (4557517550, {'y': 4510558.006324403, 'lon': -74.0049194, 'x': 584014.31556673639, 'osmid': '4557517550', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7416809}), (4557517552, {'y': 4510607.6763436897, 'lon': -74.0045542, 'x': 584044.59044022532, 'osmid': '4557517552', 'ref': nan, 'highway': nan, 'lat': 40.7421252}), (4557517554, {'y': 4510481.0486675939, 'lon': -74.0054494, 'x': 583970.43334743578, 'osmid': '4557517554', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7409922}), (4557517555, {'y': 4510399.483835103, 'lon': -74.005864, 'x': 583936.3471526854, 'osmid': '4557517555', 'ref': nan, 'highway': nan, 'lat': 40.740261}), (4557539295, {'y': 4508489.6232913993, 'lon': -73.9887918, 'x': 585399.98637704796, 'osmid': '4557539295', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7229078}), (4562863353, {'y': 4513765.4450881006, 'lon': -73.9494518, 'x': 588659.75838434359, 'osmid': '4562863353', 'ref': nan, 'highway': nan, 'lat': 40.7700832}), (4597668020, {'y': 4511040.4299074318, 'lon': -73.9823187, 'x': 585917.1751895909, 'osmid': '4597668020', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7458297}), (4597668026, {'y': 4510072.5380578926, 'lon': -73.9886195, 'x': 585396.30625240423, 'osmid': '4597668026', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7371659}), (4597668028, {'y': 4510203.7672581309, 'lon': -73.9877674, 'x': 585466.75119394658, 'osmid': '4597668028', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7383406}), (4597668029, {'y': 4510486.2185034063, 'lon': -73.9859284, 'x': 585618.78543297434, 'osmid': '4597668029', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7408689}), (4597668030, {'y': 4510762.6431179559, 'lon': -73.9841259, 'x': 585767.79547746934, 'osmid': '4597668030', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7433432}), (4597668031, {'y': 4510693.7790001901, 'lon': -73.9845756, 'x': 585730.61934246682, 'osmid': '4597668031', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7427268}), (4597668032, {'y': 4510624.5275382679, 'lon': -73.9850243, 'x': 585693.53141991189, 'osmid': '4597668032', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7421069}), (4597668033, {'y': 4510900.5583320912, 'lon': -73.9832289, 'x': 585841.94080439454, 'osmid': '4597668033', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7445777}), (4597668035, {'y': 4509872.380071003, 'lon': -73.9899797, 'x': 585283.74304361106, 'osmid': '4597668035', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7353747}), (4597668036, {'y': 4510006.7683960004, 'lon': -73.9890626, 'x': 585359.64475901448, 'osmid': '4597668036', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7365773}), (4597668038, {'y': 4510137.9070401797, 'lon': -73.9882005, 'x': 585430.93652102584, 'osmid': '4597668038', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7377511}), (4597668039, {'y': 4510267.9811545173, 'lon': -73.9873494, 'x': 585501.30907573551, 'osmid': '4597668039', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7389154}), (4597668040, {'y': 4510337.6900029853, 'lon': -73.9868973, 'x': 585538.68250262574, 'osmid': '4597668040', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7395394}), (4597668041, {'y': 4510412.7181889191, 'lon': -73.9864091, 'x': 585579.04222375376, 'osmid': '4597668041', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.740211}), (4597668042, {'y': 4510554.6358306473, 'lon': -73.9854809, 'x': 585655.7830903345, 'osmid': '4597668042', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7414813}), (4597668043, {'y': 4510831.8391909199, 'lon': -73.9836775, 'x': 585804.85728951613, 'osmid': '4597668043', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7439626}), (4597668044, {'y': 4510969.8348653037, 'lon': -73.9827781, 'x': 585879.20291810599, 'osmid': '4597668044', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7451978}), (4602414021, {'y': 4508567.606912652, 'lon': -74.0061172, 'x': 583935.70313348423, 'osmid': '4602414021', 'ref': nan, 'highway': nan, 'lat': 40.7237608}), (4616503095, {'y': 4512578.4423404569, 'lon': -73.9679563, 'x': 587111.81211547414, 'osmid': '4616503095', 'ref': nan, 'highway': nan, 'lat': 40.7595572}), (4616536348, {'y': 4508641.1860928796, 'lon': -74.006055, 'x': 583940.12397552992, 'osmid': '4616536348', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7244231}), (4616536351, {'y': 4508782.0902489433, 'lon': -74.0058541, 'x': 583955.49745766493, 'osmid': '4616536351', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7256907}), (4616536352, {'y': 4508709.4522490548, 'lon': -74.0059652, 'x': 583946.93601877918, 'osmid': '4616536352', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7250373}), (4618691806, {'y': 4509530.3766690372, 'lon': -74.003395, 'x': 584154.70462459628, 'osmid': '4618691806', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7324104}), (4618691808, {'y': 4509504.5071683312, 'lon': -74.0035391, 'x': 584142.82847665902, 'osmid': '4618691808', 'ref': nan, 'highway': nan, 'lat': 40.7321786}), (4625583181, {'y': 4507499.8434571344, 'lon': -74.0034172, 'x': 584175.87402900308, 'osmid': '4625583181', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.7141186}), (4629486879, {'y': 4508536.6237286804, 'lon': -74.0077224, 'x': 583800.47101497988, 'osmid': '4629486879', 'ref': nan, 'highway': nan, 'lat': 40.7234955}), (4679523598, {'y': 4509667.8300192012, 'lon': -74.0026261, 'x': 584218.07947808551, 'osmid': '4679523598', 'ref': nan, 'highway': 'traffic_signals', 'lat': 40.733642}), (4680481156, {'y': 4506975.4295998225, 'lon': -74.0051183, 'x': 584038.11078376882, 'osmid': '4680481156', 'ref': nan, 'highway': 'stop', 'lat': 40.7094091}), (4680481158, {'y': 4506935.7209729571, 'lon': -74.005561, 'x': 584001.15990116878, 'osmid': '4680481158', 'ref': nan, 'highway': nan, 'lat': 40.7090552}), (4685453634, {'y': 4510232.6248011757, 'lon': -74.005416, 'x': 583976.0683553461, 'osmid': '4685453634', 'ref': nan, 'highway': nan, 'lat': 40.738754}), (4685453636, {'y': 4510098.9677375928, 'lon': -74.0056066, 'x': 583961.48703038297, 'osmid': '4685453636', 'ref': nan, 'highway': nan, 'lat': 40.7375516}), (4685462237, {'y': 4510265.0330149913, 'lon': -74.0054685, 'x': 583971.26781208918, 'osmid': '4685462237', 'ref': nan, 'highway': nan, 'lat': 40.7390464}), (4685462240, {'y': 4510131.9232358141, 'lon': -74.0056556, 'x': 583956.97585109877, 'osmid': '4685462240', 'ref': nan, 'highway': nan, 'lat': 40.7378489}), (4708064890, {'y': 4517717.4958519423, 'lon': -73.9544228, 'x': 588193.05160206161, 'osmid': '4708064890', 'ref': nan, 'highway': nan, 'lat': 40.8057298})]
In [12]:
nodes_to_coord_data[0]
Out[12]:
(42421728,
{'highway': 'traffic_signals',
'lat': 40.7980472,
'lon': -73.96004,
'osmid': '42421728',
'ref': nan,
'x': 587729.35665455484,
'y': 4516859.0270689027})
In [4]:
# Compute histogram of accident counts.
accident_numbers_list = list(agg_accident_data.values())
print(min(accident_numbers_list))
print(max(accident_numbers_list))
plt.xlim(min(accident_numbers_list), max(accident_numbers_list))
plt.hist(accident_numbers_list)
plt.show()
1
668
In [6]:
# Compute histogram of traffic counts.
traffic_numbers_list = list(agg_traffic_data.values())
print(min(traffic_numbers_list))
print(max(traffic_numbers_list))
plt.xlim(min(traffic_numbers_list), max(traffic_numbers_list))
plt.hist(traffic_numbers_list)
plt.show()
0
667966
In [11]:
# Compute scores.
scores = []
for k, num_accidents in agg_accident_data.items():
if (num_accidents > 0):
node = nodes_to_coord_data[k]
node_id = node[0]
# Get amount of traffic at that node.
traffic = agg_traffic_data[node_id]
# There are some weird cases where traffic is 0 but accidents is > 0.
# For now, we update traffic to equal the num_accidents.
# Maybe this assumption should be revisited?
if (traffic < num_accidents):
traffic = num_accidents
# Calculate intersection score.
score = num_accidents/traffic
scores.append(score)
# Compute histogram of scores.
print(min(scores))
print(max(scores))
plt.xlim(min(scores), max(scores))
plt.hist(scores)
plt.show()
# Compute histogram of scores after filtering out high scores.
filtered_scores = [x for x in scores if x < 0.01]
plt.xlim(min(filtered_scores), max(filtered_scores))
plt.hist(filtered_scores)
plt.show()
2.904325702701604e-06
1.0
In [22]:
# Map data.
# Change this to false if you want to generate the full dataset.
sampleData = True
sampleSize = 100
# Starting coordinates to load map view.
NYC_coordinates = (40.7142700, -74.0059700)
# Create Map object.
agg_map = folium.Map(location=NYC_coordinates,
zoom_start=12)
# Plot data.
marker_cluster = folium.MarkerCluster().add_to(agg_map)
for k, num_accidents in agg_accident_data.items():
if (sampleData and k > sampleSize):
break;
if (num_accidents > 0):
# Get lat/long of node.
node = nodes_to_coord_data[k]
node_id = node[0]
lat = node[1]['lat']
lon = node[1]['lon']
# Get amount of traffic at that node.
traffic = agg_traffic_data[node_id]
# There are some weird cases where traffic is less than the num accidents.
# For now, we update traffic to equal the num_accidents.
# Maybe this assumption should be revisited?
if (traffic < num_accidents):
traffic = num_accidents
# Calculate intersection score.
score = num_accidents/traffic
# Plot point.
node_metadata = """
<ul>
<li><strong>Num accidents</strong>: {0}</li>
<li><strong>Traffic</strong>: {1}</li>
<li><strong>Score</strong>: {2}</li>
</ul>""".format(
str(num_accidents), str(traffic), str(score))
iframe = folium.element.IFrame(html=node_metadata, width=250, height=100)
popup = folium.Popup(iframe, max_width=2650)
score_color = "red"
if (score > 0.001 and score < 0.01):
score_color = "blue"
if (score <= 0.001):
score_color = "green"
folium.Marker(
location = [lat, lon],
icon = folium.Icon(color=score_color, icon='asterisk'),
popup=popup).add_to(marker_cluster)
# Only print the map in the notebook if sampling is on.
# Otherwise, it will crash your notebook.
# If not sampling the data, run the method in the next section
# to write out the generated html file and open that to see the results.
if (sampleData):
display(agg_map)
In [15]:
# Save html version of map.
agg_map.save('agg_accidents_map.html')
In [212]:
# Starting heatmap coordinates.
NYC_coordinates = (40.74, -73.98)
# Create New Map object for heatmap.
# In the future, would just create new layer for heatmap
heat_map = folium.Map(location=NYC_coordinates,
zoom_start=13)
# Import HeatMap plugin
from folium.plugins import HeatMap
sampleData = True
sampleSize = 5000
# Iterating through accident_data to return list of lat, lon and accident score (5000 samples)
data = []
for k, num_accidents in agg_accident_data.items():
if (sampleData and k > sampleSize):
break;
else:
# Get lat/long of node.
node = nodes_to_coord_data[k]
node_id = node[0]
lat = node[1]['lat']
lon = node[1]['lon']
# Get amount of traffic at that node.
traffic = agg_traffic_data[node_id]
# There are some weird cases where traffic is less than the num accidents.
# For now, we update traffic to equal the num_accidents.
# Maybe this assumption should be revisited?
if (traffic < num_accidents):
traffic = num_accidents
# Calculate intersection score.
score = num_accidents/traffic
row = [lat, lon, score]
data.append(row)
# Can adjust radius and max_val to change the heatmap concentrations
HeatMap(data = data, radius = 15, max_val=0.2).add_to(heat_map)
heat_map
Out[212]:
In [213]:
# Save html version of heatmap.
heat_map.save('acc_score_heatmap.html')
In [ ]:
Content source: JasonSanchez/dangerous-intersections
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