DOC: Visualization reorganization

doc/source/ecosystem.rst

@@ -18,23 +18,40 @@ tools in the PyData space.
 We'd like to make it easier for users to find these project, if you know of other
 substantial projects that you feel should be on this list, please let us know.
 
+.. _ecosystem.stats:
+
+Statistics and Machine Learning
+-------------------------------
+
 `Statsmodels <http://statsmodels.sourceforge.net>`__
-----------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Statsmodels is the prominent python "statistics and econometrics library" and it has
 a long-standing special relationship with pandas. Statsmodels provides powerful statistics,
 econometrics, analysis and modeling functionality that is out of pandas' scope.
 Statsmodels leverages pandas objects as the underlying data container for computation.
 
+`sklearn-pandas <https://github.com/paulgb/sklearn-pandas>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Use pandas DataFrames in your scikit-learn ML pipeline.
+
+
+
+.. _ecosystem.visualization:
+
+Visualization
+-------------
+
 `Vincent <https://github.com/wrobstory/vincent>`__
---------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 The `Vincent <https://github.com/wrobstory/vincent>`__ project leverages `Vega <https://github.com/trifacta/vega>`__
 (that in turn, leverages `d3 <http://d3js.org/>`__) to create plots . It has great support
 for pandas data objects.
 
 `yhat/ggplot <https://github.com/yhat/ggplot>`__
-------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Hadley Wickham's `ggplot2 <http://ggplot2.org/>`__ is a foundational exploratory visualization package for the R language.
 Based on `"The Grammer of Graphics" <http://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
@@ -44,27 +61,32 @@ but a faithful implementation for python users has long been missing. Although s
 (as of Jan-2014), the `yhat/ggplot <https://github.com/yhat/ggplot>`__ project has been
 progressing quickly in that direction.
 
-
 `Seaborn <https://github.com/mwaskom/seaborn>`__
-------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Although pandas has quite a bit of "just plot it" functionality built-in, visualization and
 in particular statistical graphics is a vast field with a long tradition and lots of ground
 to cover. The `Seaborn <https://github.com/mwaskom/seaborn>`__ project builds on top of pandas
 and `matplotlib <http://matplotlib.org>`__ to provide easy plotting of data which extends to
 more advanced types of plots then those offered by pandas.
 
+`Bokeh <http://bokeh.pydata.org>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Bokeh is a Python interactive visualization library for large datasets that natively uses
+the latest web technologies. Its goal is to provide elegant, concise construction of novel
+graphics in the style of Protovis/D3, while delivering high-performance interactivity over
+large data to thin clients.
+
+.. _ecosystem.domain:
+
+Domain Specific
+---------------
 
 `Geopandas <https://github.com/kjordahl/geopandas>`__
------------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Geopandas extends pandas data objects to include geographic information which support
 geometric operations. If your work entails maps and geographical coordinates, and
 you love pandas, you should take a close look at Geopandas.
 
-`sklearn-pandas <https://github.com/paulgb/sklearn-pandas>`__
--------------------------------------------------------------
-
-Use pandas DataFrames in your scikit-learn ML pipeline.
-
-