In [1]:

    

import os,sys,inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0,parentdir) 
import loadOSCdata
import pandas as pd
import numpy as np
import geopandas as gpd
import matplotlib.pyplot as plt
%matplotlib inline


    

In [2]:

    

data = loadOSCdata.downloadData(OSCid=367385, X = True, Y = True, Z = True, output = 'csv', outputFile = 'data.csv')
data.head()


    

    
Out[2]:






  

    

      

      
timestamp
      
point_id
      
v_value
      
geometry_raw
      
image_url
      
image_lab
      
trip_id
    
  
  

    

      
792
      
2017-05-26 17:15:57.918
      
0.0
      
0.761113
      
POINT (-73.93671009000001 40.704303425)
      
http://storage4.openstreetcam.org/files/photo/...
      
NaN
      
367385
    
    

      
3462
      
2017-05-26 17:16:13.945
      
1.0
      
8.750670
      
POINT (-73.936764505 40.70428552)
      
http://storage4.openstreetcam.org/files/photo/...
      
NaN
      
367385
    
    

      
5727
      
2017-05-26 17:16:30.904
      
2.0
      
25.468589
      
POINT (-73.93671463999999 40.704234995)
      
http://storage4.openstreetcam.org/files/photo/...
      
NaN
      
367385
    
    

      
6128
      
2017-05-26 17:16:34.900
      
3.0
      
27.397556
      
POINT (-73.93687019000001 40.704219665)
      
http://storage4.openstreetcam.org/files/photo/...
      
NaN
      
367385
    
    

      
6434
      
2017-05-26 17:16:37.900
      
4.0
      
36.878148
      
POINT (-73.937003105 40.70423295000001)
      
http://storage4.openstreetcam.org/files/photo/...
      
NaN
      
367385
    
  

In [ ]: