Plotting bug fixes and new features

doc/source/v0.8.1.txt

@@ -0,0 +1,27 @@
+.. _whatsnew_0801:
+
+v.0.8.1 (July 23, 2012)
+---------------------------
+
+This release includes a few new features and addresses over a dozen bugs in
+0.8.0, most notably NA friendly string processing functionality and a series of
+new plot types and options.
+
+New features
+~~~~~~~~~~~~
+
+  - Add string processing methods accesible via Series.str (GH620_)
+  - Add option to disable adjustment in EWMA (GH1584_)
+  - Radviz plot (GH1566_)
+  - Per column styles and secondary y-axis plotting (GH1559_)
+  - New datetime converters millisecond plotting  (GH1599_)
+
+Performance improvements
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+  - Improved implementation of rolling min and max
+  - Set logic performance for primitives
+  - Significant datetime parsing performance improvments
+
+.. _GH561: https://github.com/pydata/pandas/issues/561
+.. _GH50: https://github.com/pydata/pandas/issues/50

doc/source/visualization.rst

@@ -120,6 +120,31 @@ To plot data on a secondary y-axis, use the ``secondary_y`` keyword:
    df.B.plot(secondary_y=True, style='g')
 
 
+Selective Plotting on Secondary Y-axis
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+To plot some columns in a DataFrame, give the column names to the `secondary_y`
+keyword:
+
+.. ipython:: python
+
+   plt.figure()
+
+   @savefig frame_plot_secondary_y.png width=4.5in
+   df.plot(secondary_y=['A', 'B'])
+
+Note that the columns plotted on the secondary y-axis is automatically marked
+with "(right)" in the legend. To turn off the automatic marking, use the
+`mark_right=False` keyword:
+
+.. ipython:: python
+
+   plt.figure()
+
+   @savefig frame_plot_secondary_y.png width=4.5in
+   df.plot(secondary_y=['A', 'B'], mark_right=False)
+
+
 Targeting different subplots
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~