{ "info": { "author": "Chris Luedtke", "author_email": "chrisluedtke@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "
\n\n## About\n\nDivvy Data is a package to access historical and live Chicago bikeshare data.\n\nI used this data to blog about [Chicago biking and data visualization](https://chrisluedtke.github.io/divvy-data.html). See my analysis notebook on [nbviewer](https://nbviewer.jupyter.org/github/chrisluedtke/divvy-data-analysis/blob/master/notebook.ipynb).\n\n\n\n## Set up\n```\npip install divvy-data\n```\n\n## Usage\n### Historical Data\n```python\nimport divvydata\n\n# gather historical data over all years\nrides, stations = divvydata.get_historical_data(\n years=[str(yr) for yr in range(2013,2019)],\n rides=True,\n stations=True\n)\n```\n\n### Live Data\n```python\nimport divvydata\n\nsf = divvydata.StationsFeed()\ndf = sf.monitor_event_history(runtime_sec=60) # also saves to sf.event_history attribute\n\n# filter to stations that received interactions\ndf = df.loc[df['id'].duplicated(keep=False)]\n```\n\n### Data Usage Limitations\n\nThis package does not host or directly provide data, except as cited in analysis notebooks. 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