In [42]:
#%matplotlib inline

from pandas import Series, DataFrame
import pandas as pd
import numpy as np
import csv
import matplotlib as plt

In [43]:
c_names = ['vID', 'frID', 'tFr','Timestamp', 'localX', 'localY', 'globalX','globalY', 'vLenght', 'vWidth', 'vType', 
           'veloc','accel', 'line', 'pred', 'foll', 'spac', 'headway', 'dateTime']

In [44]:
data = pd.read_table('D:\\zzzLola\\PhD\\DataSet\\US101\\test\\portion1Set2DT.txt', sep='\t', header=None, names=c_names)

In [45]:
data[:50]


Out[45]:
vID frID tFr Timestamp localX localY globalX globalY vLenght vWidth vType veloc accel line pred foll spac headway dateTime
0 2 13 437 1118846980200 16.467 35.381 6451137.641 1873344.962 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
1 2 14 437 1118846980300 16.447 39.381 6451140.329 1873342.000 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
2 2 15 437 1118846980400 16.426 43.381 6451143.018 1873339.038 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
3 2 16 437 1118846980500 16.405 47.380 6451145.706 1873336.077 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
4 2 17 437 1118846980600 16.385 51.381 6451148.395 1873333.115 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
5 2 18 437 1118846980700 16.364 55.381 6451151.084 1873330.153 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
6 2 19 437 1118846980800 16.344 59.381 6451153.772 1873327.192 14.5 4.9 2 40.00 0.00 2 0 0 0 0 2005-06-15 14:49:40
7 2 20 437 1118846980900 16.323 63.379 6451156.461 1873324.230 14.5 4.9 2 40.02 0.25 2 0 0 0 0 2005-06-15 14:49:40
8 2 21 437 1118846981000 16.303 67.383 6451159.149 1873321.268 14.5 4.9 2 40.03 0.13 2 0 0 0 0 2005-06-15 14:49:41
9 2 22 437 1118846981100 16.282 71.398 6451161.838 1873318.307 14.5 4.9 2 39.93 -1.63 2 0 13 0 0 2005-06-15 14:49:41
10 2 23 437 1118846981200 16.262 75.401 6451164.546 1873315.323 14.5 4.9 2 39.61 -4.54 2 0 13 0 0 2005-06-15 14:49:41
11 2 24 437 1118846981300 16.254 79.349 6451167.199 1873312.382 14.5 4.9 2 39.14 -5.73 2 0 13 0 0 2005-06-15 14:49:41
12 2 25 437 1118846981400 16.221 83.233 6451169.802 1873309.533 14.5 4.9 2 38.61 -5.15 2 0 13 0 0 2005-06-15 14:49:41
13 2 26 437 1118846981500 16.201 87.043 6451172.358 1873306.719 14.5 4.9 2 38.28 -1.61 2 0 13 0 0 2005-06-15 14:49:41
14 2 27 437 1118846981600 16.169 90.829 6451174.961 1873303.870 14.5 4.9 2 38.42 3.73 2 0 13 0 0 2005-06-15 14:49:41
15 2 28 437 1118846981700 16.204 94.683 6451177.613 1873300.929 14.5 4.9 2 38.78 4.86 2 0 13 0 0 2005-06-15 14:49:41
16 2 29 437 1118846981800 16.252 98.611 6451180.342 1873297.924 14.5 4.9 2 38.92 0.00 2 0 13 0 0 2005-06-15 14:49:41
17 2 30 437 1118846981900 16.339 102.560 6451182.980 1873294.961 14.5 4.9 2 38.54 -8.59 2 0 13 0 0 2005-06-15 14:49:41
18 2 31 437 1118846982000 16.400 106.385 6451185.537 1873292.122 14.5 4.9 2 37.51 -11.20 2 0 13 0 0 2005-06-15 14:49:42
19 2 32 437 1118846982100 16.430 110.079 6451188.021 1873289.408 14.5 4.9 2 36.34 -10.86 2 0 13 0 0 2005-06-15 14:49:42
20 2 33 437 1118846982200 16.435 113.628 6451190.424 1873286.817 14.5 4.9 2 35.50 -6.20 2 0 13 0 0 2005-06-15 14:49:42
21 2 34 437 1118846982300 16.478 117.118 6451192.757 1873284.247 14.5 4.9 2 35.08 -1.89 2 0 13 0 0 2005-06-15 14:49:42
22 2 35 437 1118846982400 16.520 120.600 6451195.109 1873281.656 14.5 4.9 2 34.96 0.18 2 0 13 0 0 2005-06-15 14:49:42
23 2 36 437 1118846982500 16.562 124.096 6451197.462 1873279.065 14.5 4.9 2 34.98 0.25 2 0 13 0 0 2005-06-15 14:49:42
24 2 37 437 1118846982600 16.605 127.597 6451199.814 1873276.473 14.5 4.9 2 35.00 0.04 2 0 13 0 0 2005-06-15 14:49:42
25 2 38 437 1118846982700 16.647 131.099 6451202.167 1873273.882 14.5 4.9 2 34.99 -0.20 2 0 13 0 0 2005-06-15 14:49:42
26 2 39 437 1118846982800 16.691 134.595 6451204.519 1873271.290 14.5 4.9 2 34.98 -0.02 2 0 13 0 0 2005-06-15 14:49:42
27 2 40 437 1118846982900 16.727 138.081 6451206.879 1873268.700 14.5 4.9 2 35.10 1.95 2 0 13 0 0 2005-06-15 14:49:42
28 2 41 437 1118846983000 16.796 141.578 6451209.191 1873266.113 14.5 4.9 2 35.49 5.55 2 0 13 0 0 2005-06-15 14:49:43
29 2 42 437 1118846983100 16.795 145.131 6451211.610 1873263.514 14.5 4.9 2 36.20 8.99 2 0 13 0 0 2005-06-15 14:49:43
30 2 43 437 1118846983200 16.724 148.784 6451214.156 1873260.882 14.5 4.9 2 37.15 10.44 2 0 13 0 0 2005-06-15 14:49:43
31 2 44 437 1118846983300 16.588 152.559 6451216.824 1873258.213 14.5 4.9 2 38.12 9.30 2 0 13 0 0 2005-06-15 14:49:43
32 2 45 437 1118846983400 16.376 156.449 6451219.616 1873255.522 14.5 4.9 2 38.76 4.36 2 0 13 0 0 2005-06-15 14:49:43
33 2 46 437 1118846983500 16.064 160.379 6451222.548 1873252.829 14.5 4.9 2 38.95 -0.73 2 0 13 0 0 2005-06-15 14:49:43
34 2 47 437 1118846983600 15.763 164.277 6451225.462 1873250.139 14.5 4.9 2 38.95 -1.15 2 0 13 0 0 2005-06-15 14:49:43
35 2 48 437 1118846983700 15.471 168.150 6451228.376 1873247.450 14.5 4.9 2 38.99 1.90 2 0 13 0 0 2005-06-15 14:49:43
36 2 49 437 1118846983800 15.226 172.044 6451231.290 1873244.760 14.5 4.9 2 39.18 3.47 2 0 13 0 0 2005-06-15 14:49:43
37 2 50 437 1118846983900 14.979 176.000 6451234.204 1873242.071 14.5 4.9 2 39.34 0.02 2 0 13 0 0 2005-06-15 14:49:43
38 2 51 437 1118846984000 14.720 179.959 6451237.144 1873239.374 14.5 4.9 2 39.20 -3.52 2 0 13 0 0 2005-06-15 14:49:44
39 2 52 437 1118846984100 14.508 183.862 6451239.988 1873236.708 14.5 4.9 2 38.89 -3.28 2 0 13 0 0 2005-06-15 14:49:44
40 2 53 437 1118846984200 14.331 187.716 6451242.770 1873234.057 14.5 4.9 2 38.73 -0.33 2 0 13 0 0 2005-06-15 14:49:44
41 2 54 437 1118846984300 14.240 191.561 6451245.501 1873231.336 14.5 4.9 2 38.88 3.49 2 0 13 0 0 2005-06-15 14:49:44
42 2 55 437 1118846984400 14.309 195.455 6451248.125 1873228.494 14.5 4.9 2 39.28 5.00 2 0 13 0 0 2005-06-15 14:49:44
43 2 56 437 1118846984500 14.428 199.414 6451250.788 1873225.539 14.5 4.9 2 39.68 3.76 2 0 13 0 0 2005-06-15 14:49:44
44 2 57 437 1118846984600 14.540 203.417 6451253.489 1873222.554 14.5 4.9 2 39.94 1.29 2 0 13 0 0 2005-06-15 14:49:44
45 2 58 437 1118846984700 14.646 207.430 6451256.177 1873219.592 14.5 4.9 2 40.02 -0.22 2 0 13 0 0 2005-06-15 14:49:44
46 2 59 437 1118846984800 14.751 211.431 6451258.866 1873216.630 14.5 4.9 2 40.00 -0.21 2 0 13 0 0 2005-06-15 14:49:44
47 2 60 437 1118846984900 14.856 215.428 6451261.554 1873213.669 14.5 4.9 2 39.99 0.00 2 0 13 0 0 2005-06-15 14:49:44
48 2 61 437 1118846985000 14.962 219.427 6451264.243 1873210.707 14.5 4.9 2 39.99 0.00 2 0 13 0 0 2005-06-15 14:49:45
49 2 62 437 1118846985100 15.067 223.462 6451266.932 1873207.745 14.5 4.9 2 39.65 -5.35 2 0 13 0 0 2005-06-15 14:49:45

In [46]:
v_ts = DataFrame(data, columns=['vID', 'Timestamp'])

In [47]:
v_dt = DataFrame(data, columns=['vID', 'dateTime'])

In [48]:
v_ts[:10]


Out[48]:
vID Timestamp
0 2 1118846980200
1 2 1118846980300
2 2 1118846980400
3 2 1118846980500
4 2 1118846980600
5 2 1118846980700
6 2 1118846980800
7 2 1118846980900
8 2 1118846981000
9 2 1118846981100

In [49]:
v_dt[:10]


Out[49]:
vID dateTime
0 2 2005-06-15 14:49:40
1 2 2005-06-15 14:49:40
2 2 2005-06-15 14:49:40
3 2 2005-06-15 14:49:40
4 2 2005-06-15 14:49:40
5 2 2005-06-15 14:49:40
6 2 2005-06-15 14:49:40
7 2 2005-06-15 14:49:40
8 2 2005-06-15 14:49:41
9 2 2005-06-15 14:49:41

In [50]:
v_ts_gr = v_ts.groupby(['Timestamp']).size()
v_ts_gr


Out[50]:
Timestamp
1118846979700    1
1118846979800    1
1118846979900    1
1118846980000    1
1118846980100    1
1118846980200    2
1118846980300    2
1118846980400    2
1118846980500    2
1118846980600    2
1118846980700    2
1118846980800    2
1118846980900    2
1118846981000    2
1118846981100    2
1118846981200    2
1118846981300    2
1118846981400    2
1118846981500    2
1118846981600    2
1118846981700    2
1118846981800    2
1118846981900    2
1118846982000    2
1118846982100    2
1118846982200    2
1118846982300    2
1118846982400    2
1118846982500    2
1118846982600    2
                ..
1118847025700    2
1118847025800    2
1118847025900    2
1118847026000    2
1118847026100    2
1118847026200    2
1118847026300    2
1118847026400    2
1118847026500    2
1118847026600    2
1118847026700    2
1118847026800    1
1118847026900    1
1118847027000    1
1118847027100    1
1118847027200    1
1118847027300    1
1118847027400    1
1118847027500    1
1118847027600    1
1118847027700    1
1118847027800    1
1118847027900    1
1118847028000    1
1118847028100    1
1118847028200    1
1118847028300    1
1118847028400    1
1118847028500    1
1118847028600    1
dtype: int64

In [51]:
v_ts_gr.max()


Out[51]:
4

In [52]:
v_ts_gr.min()


Out[52]:
1

In [53]:
v_dt_gr = v_dt.groupby(['dateTime']).size()
v_dt_gr


Out[53]:
dateTime
2005-06-15 14:49:39     3
2005-06-15 14:49:40    18
2005-06-15 14:49:41    20
2005-06-15 14:49:42    20
2005-06-15 14:49:43    20
2005-06-15 14:49:44    20
2005-06-15 14:49:45    20
2005-06-15 14:49:46    20
2005-06-15 14:49:47    20
2005-06-15 14:49:48    20
2005-06-15 14:49:49    20
2005-06-15 14:49:50    20
2005-06-15 14:49:51    23
2005-06-15 14:49:52    30
2005-06-15 14:49:53    40
2005-06-15 14:49:54    40
2005-06-15 14:49:55    40
2005-06-15 14:49:56    40
2005-06-15 14:49:57    40
2005-06-15 14:49:58    40
2005-06-15 14:49:59    40
2005-06-15 14:50:00    40
2005-06-15 14:50:01    40
2005-06-15 14:50:02    40
2005-06-15 14:50:03    40
2005-06-15 14:50:04    40
2005-06-15 14:50:05    40
2005-06-15 14:50:06    40
2005-06-15 14:50:07    40
2005-06-15 14:50:08    40
2005-06-15 14:50:09    40
2005-06-15 14:50:10    40
2005-06-15 14:50:11    40
2005-06-15 14:50:12    40
2005-06-15 14:50:13    40
2005-06-15 14:50:14    40
2005-06-15 14:50:15    40
2005-06-15 14:50:16    40
2005-06-15 14:50:17    40
2005-06-15 14:50:18    40
2005-06-15 14:50:19    40
2005-06-15 14:50:20    40
2005-06-15 14:50:21    40
2005-06-15 14:50:22    40
2005-06-15 14:50:23    39
2005-06-15 14:50:24    29
2005-06-15 14:50:25    20
2005-06-15 14:50:26    18
2005-06-15 14:50:27    10
2005-06-15 14:50:28     7
dtype: int64

In [54]:
v_dt_gr.max()


Out[54]:
40

In [55]:
v_dt_gr.min()


Out[55]:
3

In [56]:
data_mean = data.groupby(['vID', 'dateTime']).mean()

In [57]:
data_mean #Mean values for the data grouped by vID and dateTime


Out[57]:
frID tFr Timestamp localX localY globalX globalY vLenght vWidth vType veloc accel line pred foll spac headway
vID dateTime
2 2005-06-15 14:49:40 16.5 437 1.118847e+12 16.395125 49.380625 6451147.050750 1873334.595875 14.5 4.9 2 40.002500 0.031250 2.0 0.0 0.0 0.000 0.000
2005-06-15 14:49:41 25.5 437 1.118847e+12 16.248700 85.049000 6451171.078800 1873308.121600 14.5 4.9 2 39.026000 -1.853000 2.0 0.0 11.7 0.000 0.000
2005-06-15 14:49:42 35.5 437 1.118847e+12 16.549500 122.327800 6451196.268900 1873280.366000 14.5 4.9 2 35.444000 -2.795000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:43 45.5 437 1.118847e+12 16.078200 158.535100 6451221.327700 1873254.149300 14.5 4.9 2 38.113000 4.215000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:44 55.5 437 1.118847e+12 14.532900 197.567300 6451249.440200 1873226.795300 14.5 4.9 2 39.461000 0.598000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:45 65.5 437 1.118847e+12 15.562200 237.208600 6451276.553600 1873197.369400 14.5 4.9 2 39.882000 0.205000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:46 75.5 437 1.118847e+12 16.657900 278.598900 6451305.625800 1873167.561400 14.5 4.9 2 43.238000 3.943000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:47 85.5 437 1.118847e+12 16.130900 322.998400 6451337.918800 1873137.082800 14.5 4.9 2 44.858000 -0.376000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:48 95.5 437 1.118847e+12 16.430600 367.761600 6451370.431600 1873105.807000 14.5 4.9 2 45.404000 2.916000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:49 105.5 437 1.118847e+12 17.410300 413.588400 6451403.488500 1873073.998600 14.5 4.9 2 45.283000 -1.972000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:50 115.5 437 1.118847e+12 18.355500 458.081900 6451435.566900 1873043.150300 14.5 4.9 2 42.870000 -4.140000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:51 125.5 437 1.118847e+12 17.591300 499.134600 6451466.487100 1873015.865700 14.5 4.9 2 39.434000 -4.553000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:52 135.5 437 1.118847e+12 17.668100 535.880900 6451493.863000 1872991.230200 14.5 4.9 2 35.005000 0.267000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:53 145.5 437 1.118847e+12 18.431600 571.199700 6451519.682800 1872967.114800 14.5 4.9 2 35.510000 -0.446000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:54 155.5 437 1.118847e+12 18.072300 607.279700 6451546.814900 1872943.332100 14.5 4.9 2 37.734000 4.918000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:55 165.5 437 1.118847e+12 17.601300 646.529900 6451576.569800 1872917.526900 14.5 4.9 2 39.891000 0.670000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:56 175.5 437 1.118847e+12 17.327600 687.665400 6451607.682900 1872890.569600 14.5 4.9 2 43.209000 4.440000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:57 185.5 437 1.118847e+12 17.056600 732.249800 6451641.366700 1872861.358500 14.5 4.9 2 45.000000 0.000000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:58 195.5 437 1.118847e+12 16.456900 777.691900 6451675.894900 1872831.836900 14.5 4.9 2 47.360000 6.275000 2.0 0.0 13.0 0.000 0.000
2005-06-15 14:49:59 205.5 437 1.118847e+12 12.999600 827.392800 6451715.504000 1872801.608200 14.5 4.9 2 49.574000 -4.008000 1.6 0.0 11.8 0.000 0.000
2005-06-15 14:50:00 215.5 437 1.118847e+12 11.227900 876.678400 6451753.675600 1872770.389600 14.5 4.9 2 50.124000 1.663000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:01 225.5 437 1.118847e+12 11.653000 926.757400 6451791.118300 1872737.034000 14.5 4.9 2 50.024000 1.104000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:02 235.5 437 1.118847e+12 11.286600 978.255700 6451830.213800 1872703.530700 14.5 4.9 2 53.912000 6.474000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:03 245.5 437 1.118847e+12 10.747200 1034.549600 6451873.033300 1872666.971500 14.5 4.9 2 57.466000 0.426000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:04 255.5 437 1.118847e+12 10.852600 1092.173700 6451916.415900 1872629.039300 14.5 4.9 2 57.238000 -3.704000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:05 265.5 437 1.118847e+12 10.917100 1147.714700 6451958.253000 1872592.503000 14.5 4.9 2 53.398000 -5.018000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:06 275.5 437 1.118847e+12 9.421900 1198.508000 6451997.439200 1872560.216400 14.5 4.9 2 49.199000 -1.014000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:07 285.5 437 1.118847e+12 7.389700 1246.675700 6452035.007800 1872529.999700 14.5 4.9 2 47.242000 -0.035000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:08 295.5 437 1.118847e+12 6.532700 1292.783100 6452070.273700 1872500.239700 14.5 4.9 2 43.434000 -4.889000 1.0 0.0 10.0 0.000 0.000
2005-06-15 14:50:09 305.5 437 1.118847e+12 7.086300 1334.235300 6452101.140700 1872472.575300 14.5 4.9 2 40.679000 -1.014000 1.0 0.0 10.0 0.000 0.000
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
6 2005-06-15 14:49:59 205.5 357 1.118847e+12 60.513200 777.939700 6451647.011100 1872798.569800 14.0 4.9 2 44.811000 -4.032000 6.0 0.0 10.8 0.000 0.000
2005-06-15 14:50:00 215.5 357 1.118847e+12 58.874100 821.153600 6451680.516600 1872771.288000 14.0 4.9 2 41.970000 -1.509000 6.0 0.0 18.0 0.000 0.000
2005-06-15 14:50:01 225.5 357 1.118847e+12 57.563100 862.637900 6451712.530000 1872744.872800 14.0 4.9 2 41.707000 1.206000 5.5 2.0 16.0 27.492 0.661
2005-06-15 14:50:02 235.5 357 1.118847e+12 56.480500 903.853500 6451744.306900 1872718.384400 14.0 4.9 2 40.061000 -1.939000 5.0 4.0 14.0 54.721 1.367
2005-06-15 14:50:03 245.5 357 1.118847e+12 55.872400 943.986400 6451775.113500 1872692.352600 14.0 4.9 2 41.150000 1.830000 5.0 4.0 14.0 56.747 1.381
2005-06-15 14:50:04 255.5 357 1.118847e+12 55.715400 985.958300 6451806.879000 1872664.945800 14.0 4.9 2 42.401000 -0.024000 5.0 4.0 14.0 55.683 1.313
2005-06-15 14:50:05 265.5 357 1.118847e+12 55.637200 1028.288200 6451838.825100 1872637.237100 14.0 4.9 2 42.047000 -0.855000 5.0 4.0 14.0 54.945 1.308
2005-06-15 14:50:06 275.5 357 1.118847e+12 55.248700 1069.928900 6451870.478300 1872610.178000 14.0 4.9 2 41.295000 -0.583000 5.0 4.0 14.0 57.046 1.380
2005-06-15 14:50:07 285.5 357 1.118847e+12 54.545200 1111.026700 6451901.928700 1872583.713300 14.0 4.9 2 41.423000 2.062000 5.0 4.0 14.0 60.047 1.449
2005-06-15 14:50:08 295.5 357 1.118847e+12 54.876400 1153.791000 6451933.917100 1872555.400300 14.0 4.9 2 43.778000 -0.235000 5.0 4.0 14.0 59.052 1.350
2005-06-15 14:50:09 305.5 357 1.118847e+12 54.569000 1196.751600 6451966.367100 1872527.416200 14.0 4.9 2 42.155000 0.572000 5.0 4.0 14.0 60.828 1.442
2005-06-15 14:50:10 315.5 357 1.118847e+12 54.747300 1240.391200 6451999.070600 1872498.523400 14.0 4.9 2 45.431000 3.154000 5.0 4.0 14.0 62.434 1.376
2005-06-15 14:50:11 325.5 357 1.118847e+12 55.769200 1286.133500 6452032.807100 1872467.603700 14.0 4.9 2 45.293000 -2.087000 5.0 4.0 14.0 62.630 1.384
2005-06-15 14:50:12 335.5 357 1.118847e+12 55.889600 1330.994600 6452066.657600 1872437.888100 14.0 4.9 2 44.902000 0.632000 5.0 4.0 14.0 64.403 1.433
2005-06-15 14:50:13 345.5 357 1.118847e+12 56.038600 1375.986300 6452100.505100 1872408.238700 14.0 4.9 2 45.042000 0.586000 5.0 4.0 14.0 66.039 1.468
2005-06-15 14:50:14 355.5 357 1.118847e+12 56.309800 1422.056000 6452134.949700 1872377.870500 14.0 4.9 2 48.007000 4.407000 5.0 4.0 14.0 67.357 1.405
2005-06-15 14:50:15 365.5 357 1.118847e+12 56.590300 1471.490000 6452171.797400 1872345.135700 14.0 4.9 2 49.465000 -2.606000 5.0 4.0 14.0 65.482 1.324
2005-06-15 14:50:16 375.5 357 1.118847e+12 55.896100 1519.680400 6452208.437900 1872313.835700 14.0 4.9 2 47.163000 -0.904000 5.0 4.0 14.0 65.844 1.397
2005-06-15 14:50:17 385.5 357 1.118847e+12 55.658900 1567.237500 6452244.675200 1872282.472800 14.0 4.9 2 48.566000 2.585000 5.0 4.0 14.0 66.604 1.370
2005-06-15 14:50:18 395.5 357 1.118847e+12 55.151300 1616.241500 6452282.068200 1872250.729600 14.0 4.9 2 49.060000 0.694000 5.0 4.0 14.0 68.158 1.390
2005-06-15 14:50:19 405.5 357 1.118847e+12 54.399400 1665.899000 6452319.387700 1872219.059000 14.0 4.9 2 49.930000 1.253000 5.0 4.0 14.0 67.749 1.357
2005-06-15 14:50:20 415.5 357 1.118847e+12 53.987300 1715.876600 6452357.065800 1872185.975100 14.0 4.9 2 49.773000 -0.221000 5.0 4.0 14.0 68.493 1.378
2005-06-15 14:50:21 425.5 357 1.118847e+12 54.792600 1765.726300 6452394.768300 1872152.202300 14.0 4.9 2 50.669000 1.756000 5.0 4.0 14.0 72.646 1.435
2005-06-15 14:50:22 435.5 357 1.118847e+12 55.325800 1817.404600 6452433.272900 1872118.231400 14.0 4.9 2 53.269000 2.632000 5.0 4.0 14.0 77.489 1.456
2005-06-15 14:50:23 445.5 357 1.118847e+12 55.419000 1872.069200 6452474.516100 1872082.188200 14.0 4.9 2 55.457000 1.730000 5.0 4.0 14.0 77.553 1.397
2005-06-15 14:50:24 455.5 357 1.118847e+12 56.863900 1928.320000 6452516.763900 1872044.113300 14.0 4.9 2 56.300000 -1.801000 5.0 4.0 14.0 75.212 1.336
2005-06-15 14:50:25 465.5 357 1.118847e+12 56.953100 1983.358600 6452559.296300 1872008.186900 14.0 4.9 2 55.266000 1.124000 5.0 4.0 14.0 74.823 1.356
2005-06-15 14:50:26 475.5 357 1.118847e+12 58.597600 2040.118800 6452602.654000 1871970.617000 14.0 4.9 2 56.359000 -2.856000 5.0 3.2 14.0 58.260 1.024
2005-06-15 14:50:27 485.5 357 1.118847e+12 58.766600 2095.723300 6452646.343000 1871935.321900 14.0 4.9 2 56.380000 3.739000 5.0 0.0 14.0 0.000 0.000
2005-06-15 14:50:28 494.0 357 1.118847e+12 58.119143 2144.347000 6452685.030286 1871905.380000 14.0 4.9 2 57.262857 -3.014286 5.0 0.0 14.0 0.000 0.000

162 rows × 17 columns


In [58]:
num_v = data.groupby(['vID']).size()

In [59]:
num_v #foe vID how many times it appears


Out[59]:
vID
2    437
4    351
5    452
6    357
dtype: int64

In [60]:
num_v.count() #num of different vehicles


Out[60]:
4

In [61]:
data.describe()


Out[61]:
vID frID tFr Timestamp localX localY globalX globalY vLenght vWidth vType veloc accel line pred foll spac headway
count 1597.000000 1597.000000 1597.000000 1.597000e+03 1597.000000 1597.000000 1597.000000 1597.000000 1597.000000 1597.000000 1597 1597.000000 1597.000000 1597.000000 1597.000000 1597.000000 1597.000000 1597.000000
mean 4.182843 267.204133 404.460238 1.118847e+12 40.166214 1114.140043 6451915.031800 1872594.324443 15.425485 5.749092 2 46.853181 0.427790 3.865373 0.706324 9.244208 11.302549 0.241935
std 1.496573 123.996664 45.413270 1.239967e+04 18.506289 559.918912 419.122022 372.802068 1.209852 1.351837 0 7.709628 4.989681 1.647519 1.525733 3.987194 24.613803 0.523286
min 2.000000 8.000000 351.000000 1.118847e+12 6.263000 35.381000 6451122.815000 1871894.687000 14.000000 4.900000 2 32.640000 -11.200000 1.000000 0.000000 0.000000 0.000000 0.000000
25% 2.000000 172.000000 357.000000 1.118847e+12 17.813000 664.639000 6451572.038000 1872291.603000 14.500000 4.900000 2 40.710000 -1.460000 2.000000 0.000000 6.000000 0.000000 0.000000
50% 5.000000 272.000000 437.000000 1.118847e+12 42.818000 1102.629000 6451903.487000 1872598.226000 16.000000 4.900000 2 45.000000 0.000000 4.000000 0.000000 8.000000 0.000000 0.000000
75% 5.000000 371.000000 452.000000 1.118847e+12 54.753000 1572.348000 6452258.323000 1872883.465000 17.000000 7.900000 2 51.360000 2.660000 5.000000 0.000000 13.000000 0.000000 0.000000
max 6.000000 497.000000 452.000000 1.118847e+12 71.498000 2161.090000 6452704.608000 1873344.962000 17.000000 7.900000 2 70.030000 11.200000 7.000000 4.000000 18.000000 78.580000 1.500000

In [ ]: