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Divvy Data

MIT Travis PyPI View on YouTube

About

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.

Set up

pip install divvy-data

Usage

Historical 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
)

Live Data

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)]

Data Usage Limitations

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.

About

Python API and analysis of Chicago's bikeshare

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