Divvy Data is a package to access historical and live Chicago bikeshare data.
I used this data to blog about Chicago biking and data visualization. See my analysis notebook on nbviewer.
pip install divvy-data
import divvydata
# gather historical data over all years
rides, stations = divvydata.get_historical_data(
years=[str(yr) for yr in range(2013,2019)],
rides=True,
stations=True
)
import divvydata
sf = divvydata.StationsFeed()
df = sf.monitor_event_history(runtime_sec=60) # also saves to sf.event_history attribute
# filter to stations that received interactions
df = df.loc[df['id'].duplicated(keep=False)]
This package does not host or directly provide data, except as cited in analysis notebooks. When using Divvy data, follow Divvy's Data License Agreement.