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Aug 21, 2012
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DOC: Add streamplot description to What's New page #1122

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73f2b0e
DOC: Add streamplot description to what's new.
tonysyu Aug 21, 2012
3acc9d2
DOC: Minor rendering fixes.
tonysyu Aug 21, 2012
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37 changes: 26 additions & 11 deletions doc/users/whats_new.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -82,28 +82,28 @@ minimum and maximum colorbar extensions.
Set default bounding box in matplotlibrc
------------------------------------------

Two new defaults are available in the matplotlibrc configuration file.
These are savefig.bbox, which can be set to 'standard' or 'tight,' and
savefig.pad_inches, which controls the bounding box padding.
Two new defaults are available in the matplotlibrc configuration file:
``savefig.bbox``, which can be set to 'standard' or 'tight', and
``savefig.pad_inches``, which controls the bounding box padding.


New Boxplot Functionality
-------------------------

Users can now incorporate their own methods for computing the median and its
confidence intervals into the boxplot method. For every column of data passed
to boxplot, the user can specify an accompanying median and confidence
interval.
:meth: `matplotlib.axes.boxplot`
.. plot:: examples/pylab_examples/boxplot_demo3.py
confidence intervals into the :meth:`~matplotlib.axes.boxplot` method. For
every column of data passed to boxplot, the user can specify an accompanying
median and confidence interval.

.. plot:: mpl_examples/pylab_examples/boxplot_demo3.py


New RC parameter functionality
------------------------------

Matthew Emmett added a function and a context manager to help manage
RC parameters: :func:`~matplotlib.rc_file` and
:class:`~matplotlib.rc_context`. To load RC paramters from a file::
Matthew Emmett added a function and a context manager to help manage RC
parameters: :func:`~matplotlib.rc_file` and :class:`~matplotlib.rc_context`.
To load RC parameters from a file::

>>> mpl.rc_file('mpl.rc')

Expand All @@ -113,6 +113,21 @@ To temporarily use RC parameters::
>>> ...


Streamplot
----------

Tom Flannaghan and Tony Yu have added a new
:meth:`~matplotlib.pyplot.streamplot` function to plot the streamlines of
a vector field. This has been a long-requested feature and complements the
existing :meth:`~matplotlib.pyplot.quiver` function for plotting vector fields.
In addition to simply plotting the streamlines of the vector field,
:meth:`~matplotlib.pyplot.streamplot` allows users to map the colors and/or
line widths of the streamlines to a separate parameter, such as the speed or
local intensity of the vector field.

.. plot:: mpl_examples/pylab_examples/streamplot_demo.py


.. _whats-new-1-1:

new in matplotlib-1.1
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