Metadata-Version: 2.0
Name: groupbytime
Version: 0.3
Summary: Convenience functions for grouping datetimes in pandas
Home-page: https://github.com/daviskirk/groupbytime
Author: Davis Kirkendall
Author-email: davis.e.kirkendall@gmail.com
License: MIT
Keywords: pandas groupby datetime timestamp
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: pandas
Provides-Extra: test
Requires-Dist: pytest; extra == 'test'

# groupby

Convenience functions for grouping datetimes in [pandas](http://www.github.com/pydata/pandas).

## Requirements

* [numpy](http://www.github.com/numpy/numpy)
* [pandas](http://www.github.com/pydata/pandas)

## Examples
```python
import groupbytime
import matplotlib.pyplot as plt
grouped = groupbytime.groupby_times(df, 'weekly')
weekly_mean = grouped.mean()

# plotting timedeltas doesn't really work in pandas so this helps
import matplotlib.pyplot as plt
grouped.plot_timedelta(weekly_mean)
```


