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link the info on scikits.timeseries #2203

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10 changes: 10 additions & 0 deletions doc/source/related.rst
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Expand Up @@ -45,3 +45,13 @@ customizable by the user (so 5-minutely data is easier to do with pandas for
example).

We are aiming to merge these libraries together in the near future.

Progress:

- It has a collection of moving window statistics implemented in
`Bottleneck <http://pandas.pydata.org/developers.html#development-roadmap>`__
- `Outstanding issues <https://github.com/pydata/pandas/issues?labels=timeseries&milestone=&page=1&state=open>`__

Summarising, Pandas offers superior functionality due to its combination with the :py:class:`pandas.DataFrame`.

An introduction for former users of :mod:`scikits.timeseries` is provided in the :ref:`migration guide <ref-scikits-migration>`.