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timmiewesm
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link the info on scikits.timeseries
link to the FAQ, devel pages and issue list.
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doc/source/related.rst

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@@ -45,3 +45,13 @@ customizable by the user (so 5-minutely data is easier to do with pandas for
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example).
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We are aiming to merge these libraries together in the near future.
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Progress:
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- It has a collection of moving window statistics implemented in
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`Bottleneck <http://pandas.pydata.org/developers.html#development-roadmap>`__
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- `Outstanding issues <https://github.com/pydata/pandas/issues?labels=timeseries&milestone=&page=1&state=open>`__
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Summarising, Pandas offers superior functionality due to its combination with the :py:class:`pandas.DataFrame`.
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An introduction for former users of :mod:`scikits.timeseries` is provided in the :ref:`migration guide <ref-scikits-migration>`.

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