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DOC: fix headers to avoid warnings
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doc/source/ecosystem.rst

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@@ -19,22 +19,22 @@ We'd like to make it easier for users to find these project, if you know of othe
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substantial projects that you feel should be on this list, please let us know.
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`Statsmodels <http://statsmodels.sourceforge.net>`__
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Statsmodels is the prominent python "statistics and econometrics library" and it has
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a long-standing special relationship with pandas. Statsmodels provides powerful statistics,
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econometrics, analysis and modeling functionality that is out of pandas' scope.
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Statsmodels leverages pandas objects as the underlying data container for computation.
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`Vincent <https://github.com/wrobstory/vincent>`__
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The `Vincent <https://github.com/wrobstory/vincent>`__ project leverages `Vega <https://github.com/trifacta/vega>`__
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(that in turn, leverages `d3 <http://d3js.org/>`__) to create plots . It has great support
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for pandas data objects.
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`yhat/ggplot <https://github.com/yhat/ggplot>`__
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Hadley Wickham's `ggplot2 <http://ggplot2.org/>`__ is a foundational exploratory visualization package for the R language.
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Based on `"The Grammer of Graphics" <http://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
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`Seaborn <https://github.com/mwaskom/seaborn>`__
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Although pandas has quite a bit of "just plot it" functionality built-in, visualization and
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in particular statistical graphics is a vast field with a long tradition and lots of ground
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`Geopandas <https://github.com/kjordahl/geopandas>`__
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Geopandas extends pandas data objects to include geographic information which support
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geometric operations. If your work entails maps and geographical coordinates, and

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