Metadata-Version: 1.1
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
Description: # 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)
        ```
        
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
