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.

Files for divvy-data, version 0.1.2
Filename, size File type Python version Upload date Hashes
Filename, size divvy_data-0.1.2-py3-none-any.whl (6.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size divvy-data-0.1.2.tar.gz (5.2 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page