Google Location History utilities
Project description
spots 
Google Location History utilities
Installation
$ pip install spots
Usage
Load location history json as pandas DataFrame
from spots import LocationHistory locdf = LocationHistory.from_json("your-location-history-file.json") locdf.head() # accuracy activity lat lon timestamp # confidence timestamp type #0 24 100 2014-01-05 09:47:07.808 UNKNOWN -23.340981 -46.579202 2014-01-05 09:47:07.808 #1 24 100 2014-01-05 09:47:54.558 TILTING -23.123471 -46.631244 2014-01-05 09:48:21.891 #2 24 100 2014-01-05 09:49:21.461 UNKNOWN -23.456211 -46.640234 2014-01-05 09:49:21.461 #3 24 100 2014-01-05 09:50:21.470 UNKNOWN -23.464231 -46.604355 2014-01-05 09:50:21.470 #4 25 100 2014-01-05 09:51:21.623 UNKNOWN -23.490080 -46.709021 2014-01-05 09:51:21.623
Calculate stay points for your trajectory
The StayPointDetection class implements the same interface used by sklearn clustering
algorithms.
from spots import StayPointDetection import numpy as np spd = StayPointDetection(distance=0.05, time=np.timedelta(15, 'm')) staypoints = spd.fit_predict(X=locdf[['lat', 'lon']].values, timestamp=locdf.timestamp) locdf.loc[:, "staypoint_id"] = staypoints
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