Skip to main content

Download and monitor Divvy bikeshare data

Project description

Divvy Data

MIT Travis PyPI

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.

Divvy Data Animation

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

divvy-data-0.1.2.tar.gz (5.2 kB view hashes)

Uploaded source

Built Distribution

divvy_data-0.1.2-py3-none-any.whl (6.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page