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<li><a class="reference internal" href="#">API Changes</a><ul>
<li><a class="reference internal" href="#changes-in-1-4-x">Changes in 1.4.x</a><ul>
<li><a class="reference internal" href="#code-changes">Code changes</a></li>
<li><a class="reference internal" href="#code-removal">Code removal</a></li>
</ul>
</li>
<li><a class="reference internal" href="#changes-in-1-3-x">Changes in 1.3.x</a><ul>
<li><a class="reference internal" href="#changes-in-1-3-1">Changes in 1.3.1</a></li>
<li><a class="reference internal" href="#id1">Code removal</a></li>
<li><a class="reference internal" href="#code-deprecation">Code deprecation</a></li>
<li><a class="reference internal" href="#id2">Code changes</a></li>
<li><a class="reference internal" href="#configuration-and-rcparams">Configuration and rcParams</a></li>
</ul>
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<li><a class="reference internal" href="#changes-in-1-2-x">Changes in 1.2.x</a></li>
<li><a class="reference internal" href="#changes-in-1-1-x">Changes in 1.1.x</a></li>
<li><a class="reference internal" href="#changes-beyond-0-99-x">Changes beyond 0.99.x</a></li>
<li><a class="reference internal" href="#changes-in-0-99">Changes in 0.99</a></li>
<li><a class="reference internal" href="#changes-for-0-98-x">Changes for 0.98.x</a></li>
<li><a class="reference internal" href="#changes-for-0-98-1">Changes for 0.98.1</a></li>
<li><a class="reference internal" href="#changes-for-0-98-0">Changes for 0.98.0</a><ul>
<li><a class="reference internal" href="#notes-about-the-transforms-refactoring">Notes about the transforms refactoring</a><ul>
<li><a class="reference internal" href="#matplotlib-transforms"><tt class="docutils literal"><span class="pre">matplotlib.transforms</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-axes"><tt class="docutils literal"><span class="pre">matplotlib.axes</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-artist"><tt class="docutils literal"><span class="pre">matplotlib.artist</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-collections"><tt class="docutils literal"><span class="pre">matplotlib.collections</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-colors"><tt class="docutils literal"><span class="pre">matplotlib.colors</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-contour"><tt class="docutils literal"><span class="pre">matplotlib.contour</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-figure"><tt class="docutils literal"><span class="pre">matplotlib.figure</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-patches"><tt class="docutils literal"><span class="pre">matplotlib.patches</span></tt></a></li>
<li><a class="reference internal" href="#matplotlib-backend-bases"><tt class="docutils literal"><span class="pre">matplotlib.backend_bases</span></tt></a><ul>
<li><a class="reference internal" href="#rendererbase"><tt class="docutils literal"><span class="pre">RendererBase</span></tt></a></li>
</ul>
</li>
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<li><a class="reference internal" href="#changes-for-0-91-2">Changes for 0.91.2</a></li>
<li><a class="reference internal" href="#changes-for-0-91-1">Changes for 0.91.1</a></li>
<li><a class="reference internal" href="#changes-for-0-91-0">Changes for 0.91.0</a></li>
<li><a class="reference internal" href="#changes-for-0-90-1">Changes for 0.90.1</a></li>
<li><a class="reference internal" href="#changes-for-0-90-0">Changes for 0.90.0</a></li>
<li><a class="reference internal" href="#changes-for-0-87-7">Changes for 0.87.7</a></li>
<li><a class="reference internal" href="#changes-for-0-86">Changes for 0.86</a></li>
<li><a class="reference internal" href="#changes-for-0-85">Changes for 0.85</a></li>
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<li><a class="reference internal" href="#changes-for-0-63">Changes for 0.63</a></li>
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<li><a class="reference internal" href="#changes-for-0-60">Changes for 0.60</a></li>
<li><a class="reference internal" href="#changes-for-0-54-3">Changes for 0.54.3</a></li>
<li><a class="reference internal" href="#changes-for-0-54">Changes for 0.54</a><ul>
<li><a class="reference internal" href="#matlab-interface">MATLAB interface</a><ul>
<li><a class="reference internal" href="#dpi">dpi</a></li>
<li><a class="reference internal" href="#pcolor-and-scatter">pcolor and scatter</a></li>
<li><a class="reference internal" href="#mathtext-spacing">mathtext spacing</a></li>
</ul>
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<li><a class="reference internal" href="#object-interface-application-programmers">Object interface - Application programmers</a><ul>
<li><a class="reference internal" href="#autoscaling">Autoscaling</a></li>
<li><a class="reference internal" href="#axes-creation">Axes creation</a></li>
<li><a class="reference internal" href="#artist-methods">Artist methods</a></li>
<li><a class="reference internal" href="#bounding-boxes">Bounding boxes</a></li>
<li><a class="reference internal" href="#object-constructors">Object constructors</a></li>
<li><a class="reference internal" href="#transformations">Transformations</a></li>
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<li><a class="reference internal" href="#changes-for-0-50">Changes for 0.50</a></li>
<li><a class="reference internal" href="#changes-for-0-42">Changes for 0.42</a></li>
<li><a class="reference internal" href="#changes-for-0-40">Changes for 0.40</a></li>
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<div class="section" id="api-changes">
<h1>API Changes<a class="headerlink" href="#api-changes" title="Permalink to this headline">¶</a></h1>
<p>This chapter is a log of changes to matplotlib that affect the
outward-facing API. If updating matplotlib breaks your scripts, this
list may help describe what changes may be necessary in your code or
help figure out possible sources of the changes you are experiencing.</p>
<p>For new features that were added to matplotlib, please see
<a class="reference internal" href="../users/whats_new.html#whats-new"><em>What’s new in matplotlib</em></a>.</p>
<div class="section" id="changes-in-1-4-x">
<h2>Changes in 1.4.x<a class="headerlink" href="#changes-in-1-4-x" title="Permalink to this headline">¶</a></h2>
<div class="section" id="code-changes">
<h3>Code changes<a class="headerlink" href="#code-changes" title="Permalink to this headline">¶</a></h3>
<ul>
<li><p class="first">A major refactoring of the axes module was made. The axes module has been
split into smaller modules:</p>
<blockquote>
<div><ul class="simple">
<li>the <tt class="xref py py-obj docutils literal"><span class="pre">_base</span></tt> module, which contains a new private _AxesBase class. This
class contains all methods except plotting and labelling methods.</li>
<li>the <tt class="xref py py-obj docutils literal"><span class="pre">axes</span></tt> module, which contains the Axes class. This class inherits
from _AxesBase, and contains all plotting and labelling methods.</li>
<li>the <tt class="xref py py-obj docutils literal"><span class="pre">_subplot</span></tt> module, with all the classes concerning subplotting.</li>
</ul>
</div></blockquote>
</li>
</ul>
<p>There are a couple of things that do not exists in the <tt class="xref py py-obj docutils literal"><span class="pre">axes</span></tt> module’s
namespace anymore. If you use them, you need to import them from their
original location:</p>
<blockquote>
<div><ul class="simple">
<li>math -> <tt class="xref py py-obj docutils literal"><span class="pre">import</span> <span class="pre">math</span></tt></li>
<li>ma -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">numpy</span> <span class="pre">import</span> <span class="pre">ma</span></tt></li>
<li>cbook -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">cbook</span></tt></li>
<li>docstring -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">docstring</span></tt></li>
<li>is_sequence_of_strings -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib.cbook</span> <span class="pre">import</span> <span class="pre">is_sequence_of_strings</span></tt></li>
<li>is_string_like -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib.cbook</span> <span class="pre">import</span> <span class="pre">is_string_like</span></tt></li>
<li>iterable -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib.cbook</span> <span class="pre">import</span> <span class="pre">iterable</span></tt></li>
<li>itertools -> <tt class="xref py py-obj docutils literal"><span class="pre">import</span> <span class="pre">itertools</span></tt></li>
<li>martist -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">artist</span> <span class="pre">as</span> <span class="pre">martist</span></tt></li>
<li>matplotlib -> <tt class="xref py py-obj docutils literal"><span class="pre">import</span> <span class="pre">matplotlib</span></tt></li>
<li>mcoll -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">collections</span> <span class="pre">as</span> <span class="pre">mcoll</span></tt></li>
<li>mcolors -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">colors</span> <span class="pre">as</span> <span class="pre">mcolors</span></tt></li>
<li>mcontour -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">contour</span> <span class="pre">as</span> <span class="pre">mcontour</span></tt></li>
<li>mpatches -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">patches</span> <span class="pre">as</span> <span class="pre">mpatches</span></tt></li>
<li>mpath -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">path</span> <span class="pre">as</span> <span class="pre">mpath</span></tt></li>
<li>mquiver -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">quiver</span> <span class="pre">as</span> <span class="pre">mquiver</span></tt></li>
<li>mstack -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">stack</span> <span class="pre">as</span> <span class="pre">mstack</span></tt></li>
<li>mstream -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">stream</span> <span class="pre">as</span> <span class="pre">mstream</span></tt></li>
<li>mtable -> <tt class="xref py py-obj docutils literal"><span class="pre">from</span> <span class="pre">matplotlib</span> <span class="pre">import</span> <span class="pre">table</span> <span class="pre">as</span> <span class="pre">mtable</span></tt></li>
</ul>
</div></blockquote>
<ul>
<li><p class="first">As part of the refactoring to enable Qt5 support, the module
<tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.backends.qt4_compat</span></tt> was renamed to
<tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.qt_compat</span></tt>. <tt class="xref py py-obj docutils literal"><span class="pre">qt4_compat</span></tt> is deprecated in 1.4 and
will be removed in 1.5.</p>
</li>
<li><p class="first">The <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.errorbar" title="matplotlib.pyplot.errorbar"><tt class="xref py py-func docutils literal"><span class="pre">errorbar()</span></tt></a> method has been changed such that
the upper and lower limits (<em>lolims</em>, <em>uplims</em>, <em>xlolims</em>, <em>xuplims</em>) now
point in the correct direction.</p>
</li>
<li><p class="first">The <em>fmt</em> kwarg for <tt class="xref py py-func docutils literal"><span class="pre">plot()</span></tt> defaults.</p>
</li>
<li><p class="first">A bug has been fixed in the path effects rendering of fonts, which now means
that the font size is consistent with non-path effect fonts. See
<a class="reference external" href="https://github.com/matplotlib/matplotlib/issues/2889">https://github.com/matplotlib/matplotlib/issues/2889</a> for more detail.</p>
</li>
<li><p class="first">The Sphinx extensions <tt class="xref py py-obj docutils literal"><span class="pre">ipython_directive</span></tt> and
<tt class="xref py py-obj docutils literal"><span class="pre">ipython_console_highlighting</span></tt> have been moved to the IPython
project itself. While they remain in matplotlib for this release,
they have been deprecated. Update your extensions in <tt class="xref py py-obj docutils literal"><span class="pre">conf.py</span></tt> to
point to <tt class="xref py py-obj docutils literal"><span class="pre">IPython.sphinxext.ipython_directive</span></tt> instead of
<tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.sphinxext.ipython_directive</span></tt>.</p>
</li>
<li><p class="first">In <a class="reference internal" href="finance_api.html#module-matplotlib.finance" title="matplotlib.finance"><tt class="xref py py-obj docutils literal"><span class="pre">finance</span></tt></a>, almost all functions have been deprecated
and replaced with a pair of functions name <tt class="xref py py-obj docutils literal"><span class="pre">*_ochl</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">*_ohlc</span></tt>.
The former is the ‘open-close-high-low’ order of quotes used
previously in this module, and the latter is the
‘open-high-low-close’ order that is standard in finance.</p>
</li>
<li><p class="first">For consistency the <tt class="docutils literal"><span class="pre">face_alpha</span></tt> keyword to
<a class="reference internal" href="patheffects_api.html#matplotlib.patheffects.SimplePatchShadow" title="matplotlib.patheffects.SimplePatchShadow"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.patheffects.SimplePatchShadow</span></tt></a> has been deprecated in
favour of the <tt class="docutils literal"><span class="pre">alpha</span></tt> keyword. Similarly, the keyword <tt class="docutils literal"><span class="pre">offset_xy</span></tt> is now
named <tt class="docutils literal"><span class="pre">offset</span></tt> across all <tt class="xref py py-class docutils literal"><span class="pre">_Base`</span></tt> has
been renamed to <a class="reference internal" href="patheffects_api.html#matplotlib.patheffects.AbstractPathEffect" title="matplotlib.patheffects.AbstractPathEffect"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.patheffects.AbstractPathEffect</span></tt></a>.
<tt class="docutils literal"><span class="pre">matplotlib.patheffect.ProxyRenderer</span></tt> has been renamed to
<a class="reference internal" href="patheffects_api.html#matplotlib.patheffects.PathEffectRenderer" title="matplotlib.patheffects.PathEffectRenderer"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.patheffects.PathEffectRenderer</span></tt></a> and is now a full
RendererBase subclass.</p>
</li>
<li><p class="first">The artist used to draw the outline of a <tt class="xref py py-obj docutils literal"><span class="pre">colorbar</span></tt> has been changed
from a <a class="reference internal" href="lines_api.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.lines.Line2D</span></tt></a> to <a class="reference internal" href="patches_api.html#matplotlib.patches.Polygon" title="matplotlib.patches.Polygon"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.patches.Polygon</span></tt></a>,
thus <tt class="xref py py-obj docutils literal"><span class="pre">colorbar.ColorbarBase.outline</span></tt> is now a
<a class="reference internal" href="patches_api.html#matplotlib.patches.Polygon" title="matplotlib.patches.Polygon"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.patches.Polygon</span></tt></a> object.</p>
</li>
<li><p class="first">The legend handler interface has changed from a callable, to any object
which implements the <tt class="docutils literal"><span class="pre">legend_artists</span></tt> method (a deprecation phase will
see this interface be maintained for v1.4). See
<a class="reference internal" href="../users/legend_guide.html#plotting-guide-legend"><em>Legend guide</em></a> for further details. Further legend changes
include:</p>
<blockquote>
<div><ul class="simple">
<li><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.axes.Axes._get_legend_handles()</span></tt> now returns a generator
of handles, rather than a list.</li>
<li>The <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.legend" title="matplotlib.pyplot.legend"><tt class="xref py py-func docutils literal"><span class="pre">legend()</span></tt></a> function’s “loc” positional
argument has been deprecated. Use the “loc” keyword instead.</li>
</ul>
</div></blockquote>
</li>
<li><p class="first">The rcParams <tt class="xref py py-obj docutils literal"><span class="pre">savefig.transparent</span></tt> has been added to control
default transparency when saving figures.</p>
</li>
<li><p class="first">Slightly refactored the <tt class="xref py py-obj docutils literal"><span class="pre">Annotation</span></tt> family. The text location in
<tt class="xref py py-obj docutils literal"><span class="pre">Annotation</span></tt> is now handled entirely handled by the underlying <tt class="xref py py-obj docutils literal"><span class="pre">Text</span></tt>
object so <tt class="xref py py-obj docutils literal"><span class="pre">set_position</span></tt> works as expected. The attributes <tt class="xref py py-obj docutils literal"><span class="pre">xytext</span></tt> and
<tt class="xref py py-obj docutils literal"><span class="pre">textcoords</span></tt> have been deprecated in favor of <tt class="xref py py-obj docutils literal"><span class="pre">xyann</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">anncoords</span></tt> so
that <tt class="xref py py-obj docutils literal"><span class="pre">Annotation</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">AnnotaionBbox</span></tt> can share a common sensibly named
api for getting/setting the location of the text or box.</p>
<blockquote>
<div><ul class="simple">
<li><tt class="xref py py-obj docutils literal"><span class="pre">xyann</span></tt> -> set the location of the annotation</li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">xy</span></tt> -> set where the arrow points to</li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">anncoords</span></tt> -> set the units of the annotation location</li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">xycoords</span></tt> -> set the units of the point location</li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">set_position()</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">Annotation</span></tt> only set location of annotation</li>
</ul>
</div></blockquote>
</li>
<li><p class="first"><a class="reference internal" href="mlab_api.html#matplotlib.mlab.specgram" title="matplotlib.mlab.specgram"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.specgram</span></tt></a>, <a class="reference internal" href="mlab_api.html#matplotlib.mlab.psd" title="matplotlib.mlab.psd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.psd</span></tt></a>, <a class="reference internal" href="mlab_api.html#matplotlib.mlab.csd" title="matplotlib.mlab.csd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.csd</span></tt></a>,
<a class="reference internal" href="mlab_api.html#matplotlib.mlab.cohere" title="matplotlib.mlab.cohere"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.cohere</span></tt></a>, <a class="reference internal" href="mlab_api.html#matplotlib.mlab.cohere_pairs" title="matplotlib.mlab.cohere_pairs"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.cohere_pairs</span></tt></a>,
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.specgram" title="matplotlib.pyplot.specgram"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.specgram</span></tt></a>, <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.psd" title="matplotlib.pyplot.psd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.psd</span></tt></a>,
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.csd" title="matplotlib.pyplot.csd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.csd</span></tt></a>, and <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.cohere" title="matplotlib.pyplot.cohere"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.cohere</span></tt></a> now raise
ValueError where they previously raised AssertionError.</p>
</li>
<li><p class="first">For <a class="reference internal" href="mlab_api.html#matplotlib.mlab.psd" title="matplotlib.mlab.psd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.psd</span></tt></a>, <a class="reference internal" href="mlab_api.html#matplotlib.mlab.csd" title="matplotlib.mlab.csd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.csd</span></tt></a>,
<a class="reference internal" href="mlab_api.html#matplotlib.mlab.cohere" title="matplotlib.mlab.cohere"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.cohere</span></tt></a>, <a class="reference internal" href="mlab_api.html#matplotlib.mlab.cohere_pairs" title="matplotlib.mlab.cohere_pairs"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.mlab.cohere_pairs</span></tt></a>,
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.specgram" title="matplotlib.pyplot.specgram"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.specgram</span></tt></a>, <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.psd" title="matplotlib.pyplot.psd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.psd</span></tt></a>,
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.csd" title="matplotlib.pyplot.csd"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.csd</span></tt></a>, and <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.cohere" title="matplotlib.pyplot.cohere"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.pyplot.cohere</span></tt></a>, in cases
where a shape (n, 1) array is returned, this is now converted to a (n, )
array. Previously, (n, m) arrays were averaged to an (n, ) array, but
(n, 1) arrays were returend unchanged. This change makes the dimensions
consistent in both cases.</p>
</li>
<li><p class="first">Added the rcParam <tt class="xref py py-obj docutils literal"><span class="pre">axes.fromatter.useoffset</span></tt> to control the default value
of <tt class="xref py py-obj docutils literal"><span class="pre">useOffset</span></tt> in <tt class="xref py py-obj docutils literal"><span class="pre">ticker.ScalarFormatter</span></tt></p>
</li>
<li><p class="first">Added <tt class="xref py py-obj docutils literal"><span class="pre">Formatter</span></tt> sub-class <tt class="xref py py-obj docutils literal"><span class="pre">StrMethodFormatter</span></tt> which
does the exact same thing as <tt class="xref py py-obj docutils literal"><span class="pre">FormatStrFormatter</span></tt>, but for new-style
formatting strings.</p>
</li>
<li><p class="first">Deprecated <tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.testing.image_util</span></tt> and the only function within,
<tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.testing.image_util.autocontrast</span></tt>. These will be removed
completely in v1.5.0.</p>
</li>
<li><p class="first">The <tt class="docutils literal"><span class="pre">fmt</span></tt> argument of <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.plot_date" title="matplotlib.axes.Axes.plot_date"><tt class="xref py py-meth docutils literal"><span class="pre">plot_date()</span></tt></a> has been
changed from <tt class="docutils literal"><span class="pre">bo</span></tt> to just <tt class="docutils literal"><span class="pre">o</span></tt>, so color cycling can happen by default.</p>
</li>
<li><p class="first">Removed the class <tt class="xref py py-obj docutils literal"><span class="pre">FigureManagerQTAgg</span></tt> and deprecated <tt class="xref py py-obj docutils literal"><span class="pre">NavigationToolbar2QTAgg</span></tt>
which will be removed in 1.5.</p>
</li>
<li><p class="first">Removed formerly public (non-prefixed) attributes <tt class="xref py py-obj docutils literal"><span class="pre">rect</span></tt> and
<tt class="xref py py-obj docutils literal"><span class="pre">drawRect</span></tt> from <tt class="xref py py-obj docutils literal"><span class="pre">FigureCanvasQTAgg</span></tt>; they were always an
implementation detail of the (preserved) <tt class="xref py py-obj docutils literal"><span class="pre">drawRectangle()</span></tt> function.</p>
</li>
<li><p class="first">The function signatures of <tt class="xref py py-obj docutils literal"><span class="pre">tight_bbox.adjust_bbox</span></tt> and
<tt class="xref py py-obj docutils literal"><span class="pre">tight_bbox.process_figure_for_rasterizing</span></tt> have been changed. A new
<tt class="xref py py-obj docutils literal"><span class="pre">fixed_dpi</span></tt> parameter allows for overriding the <tt class="xref py py-obj docutils literal"><span class="pre">figure.dpi</span></tt> setting
instead of trying to deduce the intended behaviour from the file format.</p>
</li>
<li><p class="first">Added support for horizontal/vertical axes padding to
<tt class="xref py py-obj docutils literal"><span class="pre">mpl_toolkits.axes_grid1.ImageGrid</span></tt> — argument <tt class="docutils literal"><span class="pre">axes_pad</span></tt> can now be
tuple-like if separate axis padding is required.
The original behavior is preserved.</p>
</li>
<li><p class="first">Added support for skewed transforms to <a class="reference internal" href="../devel/transformations.html#matplotlib.transforms.Affine2D" title="matplotlib.transforms.Affine2D"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.transforms.Affine2D</span></tt></a>,
which can be created using the <tt class="xref py py-obj docutils literal"><span class="pre">skew</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">skew_deg</span></tt> methods.</p>
</li>
<li><p class="first">Added clockwise parameter to control sectors direction in <tt class="xref py py-obj docutils literal"><span class="pre">axes.pie</span></tt></p>
</li>
<li><p class="first">In <a class="reference internal" href="lines_api.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.lines.Line2D</span></tt></a> the <tt class="xref py py-obj docutils literal"><span class="pre">markevery</span></tt> functionality has been extended.
Previously an integer start-index and stride-length could be specified using
either a two-element-list or a two-element-tuple. Now this can only be done
using a two-element-tuple. If a two-element-list is used then it will be
treated as numpy fancy indexing and only the two markers corresponding to the
given indexes will be shown.</p>
</li>
<li><p class="first">removed prop kwarg from <tt class="xref py py-obj docutils literal"><span class="pre">mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar</span></tt>
call. It was passed through to the base-class <tt class="xref py py-obj docutils literal"><span class="pre">__init__</span></tt> and is only used for
setting padding. Now <tt class="xref py py-obj docutils literal"><span class="pre">fontproperties</span></tt> (which is what is really used to set
the font properties of <tt class="xref py py-obj docutils literal"><span class="pre">AnchoredSizeBar</span></tt>) is passed through in place of <tt class="xref py py-obj docutils literal"><span class="pre">prop</span></tt>.
If <tt class="xref py py-obj docutils literal"><span class="pre">fontpropreties</span></tt> is not passed in, but <tt class="xref py py-obj docutils literal"><span class="pre">prop</span></tt> is, then <tt class="xref py py-obj docutils literal"><span class="pre">prop</span></tt> is used inplace
of <tt class="xref py py-obj docutils literal"><span class="pre">fontpropreties</span></tt>. If both are passed in, <tt class="xref py py-obj docutils literal"><span class="pre">prop</span></tt> is silently ignored.</p>
</li>
<li><p class="first">The use of the index 0 in <tt class="xref py py-obj docutils literal"><span class="pre">plt.subplot</span></tt> and related commands is
deprecated. Due to a lack of validation calling <tt class="xref py py-obj docutils literal"><span class="pre">plt.subplots(2,</span> <span class="pre">2,</span>
<span class="pre">0)</span></tt> does not raise an exception, but puts an axes in the _last_
position. This is due to the indexing in subplot being 1-based (to
mirror MATLAB) so before indexing into the <tt class="xref py py-obj docutils literal"><span class="pre">GridSpec</span></tt> object used to
determine where the axes should go, 1 is subtracted off. Passing in
0 results in passing -1 to <tt class="xref py py-obj docutils literal"><span class="pre">GridSpec</span></tt> which results in getting the
last position back. Even though this behavior is clearly wrong and
not intended, we are going through a deprecation cycle in an
abundance of caution that any users are exploiting this ‘feature’.
The use of 0 as an index will raise a warning in 1.4 and an
exception in 1.5.</p>
</li>
<li><p class="first">Clipping is now off by default on offset boxes.</p>
</li>
<li><p class="first">matplotlib now uses a less-aggressive call to <tt class="docutils literal"><span class="pre">gc.collect(1)</span></tt> when
closing figures to avoid major delays with large numbers of user objects
in memory.</p>
</li>
<li><p class="first">The default clip value of <em>all</em> pie artists now defaults to <tt class="docutils literal"><span class="pre">False</span></tt>.</p>
</li>
</ul>
</div>
<div class="section" id="code-removal">
<h3>Code removal<a class="headerlink" href="#code-removal" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>Removed <tt class="docutils literal"><span class="pre">mlab.levypdf</span></tt>. The code raised a numpy error (and has for
a long time) and was not the standard form of the Levy distribution.
<tt class="docutils literal"><span class="pre">scipy.stats.levy</span></tt> should be used instead</li>
</ul>
</div>
</div>
<div class="section" id="changes-in-1-3-x">
<span id="changes-in-1-3"></span><h2>Changes in 1.3.x<a class="headerlink" href="#changes-in-1-3-x" title="Permalink to this headline">¶</a></h2>
<div class="section" id="changes-in-1-3-1">
<h3>Changes in 1.3.1<a class="headerlink" href="#changes-in-1-3-1" title="Permalink to this headline">¶</a></h3>
<p>It is rare that we make an API change in a bugfix release, however,
for 1.3.1 since 1.3.0 the following change was made:</p>
<ul class="simple">
<li><tt class="xref py py-obj docutils literal"><span class="pre">text.Text.cached</span></tt> (used to cache font objects) has been made into a
private variable. Among the obvious encapsulation benefit, this
removes this confusing-looking member from the documentation.</li>
<li>The method <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist"><tt class="xref py py-meth docutils literal"><span class="pre">hist()</span></tt></a> now always returns bin
occupancies as an array of type <tt class="xref py py-obj docutils literal"><span class="pre">float</span></tt>. Previously, it was sometimes
an array of type <tt class="xref py py-obj docutils literal"><span class="pre">int</span></tt>, depending on the call.</li>
</ul>
</div>
<div class="section" id="id1">
<h3>Code removal<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h3>
<ul>
<li><p class="first">The following items that were deprecated in version 1.2 or earlier
have now been removed completely.</p>
<blockquote>
<div><ul>
<li><p class="first">The Qt 3.x backends (<tt class="xref py py-obj docutils literal"><span class="pre">qt</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">qtagg</span></tt>) have been removed in
favor of the Qt 4.x backends (<tt class="xref py py-obj docutils literal"><span class="pre">qt4</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">qt4agg</span></tt>).</p>
</li>
<li><p class="first">The FltkAgg and Emf backends have been removed.</p>
</li>
<li><p class="first">The <tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.nxutils</span></tt> module has been removed. Use the
functionality on <a class="reference internal" href="path_api.html#matplotlib.path.Path.contains_point" title="matplotlib.path.Path.contains_point"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.path.Path.contains_point</span></tt></a> and
friends instead.</p>
</li>
<li><p class="first">Instead of <tt class="xref py py-obj docutils literal"><span class="pre">axes.Axes.get_frame</span></tt>, use <tt class="xref py py-obj docutils literal"><span class="pre">axes.Axes.patch</span></tt>.</p>
</li>
<li><p class="first">The following <tt class="xref py py-obj docutils literal"><span class="pre">kwargs</span></tt> to the <tt class="xref py py-obj docutils literal"><span class="pre">legend</span></tt> function have been
renamed:</p>
<ul class="simple">
<li><tt class="xref py py-obj docutils literal"><span class="pre">pad</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">borderpad</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">labelsep</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">labelspacing</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">handlelen</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">handlelength</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">handletextsep</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">handletextpad</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">axespad</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">borderaxespad</span></tt></li>
</ul>
<p>Related to this, the following rcParams have been removed:</p>
<ul class="simple">
<li><tt class="xref py py-obj docutils literal"><span class="pre">legend.pad</span></tt>, <tt class="xref py py-obj docutils literal"><span class="pre">legend.labelsep</span></tt>, <tt class="xref py py-obj docutils literal"><span class="pre">legend.handlelen</span></tt>,
<tt class="xref py py-obj docutils literal"><span class="pre">legend.handletextsep</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">legend.axespad</span></tt></li>
</ul>
</li>
<li><p class="first">For the <tt class="xref py py-obj docutils literal"><span class="pre">hist</span></tt> function, instead of <tt class="xref py py-obj docutils literal"><span class="pre">width</span></tt>, use <tt class="xref py py-obj docutils literal"><span class="pre">rwidth</span></tt>
(relative width).</p>
</li>
<li><p class="first">On <tt class="xref py py-obj docutils literal"><span class="pre">patches.Circle</span></tt>, the <tt class="xref py py-obj docutils literal"><span class="pre">resolution</span></tt> kwarg has been removed.
For a circle made up of line segments, use
<tt class="xref py py-obj docutils literal"><span class="pre">patches.CirclePolygon</span></tt>.</p>
</li>
<li><p class="first">The printing functions in the Wx backend have been removed due
to the burden of keeping them up-to-date.</p>
</li>
<li><p class="first"><tt class="xref py py-obj docutils literal"><span class="pre">mlab.liaupunov</span></tt> has been removed.</p>
</li>
<li><p class="first"><tt class="xref py py-obj docutils literal"><span class="pre">mlab.save</span></tt>, <tt class="xref py py-obj docutils literal"><span class="pre">mlab.load</span></tt>, <tt class="xref py py-obj docutils literal"><span class="pre">pylab.save</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">pylab.load</span></tt> have
been removed. We recommend using <tt class="xref py py-obj docutils literal"><span class="pre">numpy.savetxt</span></tt> and
<tt class="xref py py-obj docutils literal"><span class="pre">numpy.loadtxt</span></tt> instead.</p>
</li>
<li><p class="first"><tt class="xref py py-obj docutils literal"><span class="pre">widgets.HorizontalSpanSelector</span></tt> has been removed. Use
<tt class="xref py py-obj docutils literal"><span class="pre">widgets.SpanSelector</span></tt> instead.</p>
</li>
</ul>
</div></blockquote>
</li>
</ul>
</div>
<div class="section" id="code-deprecation">
<h3>Code deprecation<a class="headerlink" href="#code-deprecation" title="Permalink to this headline">¶</a></h3>
<ul>
<li><p class="first">The CocoaAgg backend has been deprecated, with the possibility for
deletion or resurrection in a future release.</p>
</li>
<li><p class="first">The top-level functions in <a class="reference internal" href="path_api.html#module-matplotlib.path" title="matplotlib.path"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.path</span></tt></a> that are implemented in
C++ were never meant to be public. Instead, users should use the
Pythonic wrappers for them in the <tt class="xref py py-obj docutils literal"><span class="pre">path.Path</span></tt> and
<tt class="xref py py-obj docutils literal"><span class="pre">collections.Collection</span></tt> classes. Use the following mapping to update
your code:</p>
<blockquote>
<div><ul class="simple">
<li><tt class="xref py py-obj docutils literal"><span class="pre">point_in_path</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.contains_point</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">get_path_extents</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.get_extents</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">point_in_path_collection</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">collection.Collection.contains</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">path_in_path</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.contains_path</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">path_intersects_path</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.intersects_path</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">convert_path_to_polygons</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.to_polygons</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">cleanup_path</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.cleaned</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">points_in_path</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.contains_points</span></tt></li>
<li><tt class="xref py py-obj docutils literal"><span class="pre">clip_path_to_rect</span></tt> -> <tt class="xref py py-obj docutils literal"><span class="pre">path.Path.clip_to_bbox</span></tt></li>
</ul>
</div></blockquote>
</li>
<li><p class="first"><a class="reference internal" href="colors_api.html#matplotlib.colors.normalize" title="matplotlib.colors.normalize"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.colors.normalize</span></tt></a> and <a class="reference internal" href="colors_api.html#matplotlib.colors.no_norm" title="matplotlib.colors.no_norm"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.colors.no_norm</span></tt></a> have
been deprecated in favour of <a class="reference internal" href="colors_api.html#matplotlib.colors.Normalize" title="matplotlib.colors.Normalize"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.colors.Normalize</span></tt></a> and
<a class="reference internal" href="colors_api.html#matplotlib.colors.NoNorm" title="matplotlib.colors.NoNorm"><tt class="xref py py-obj docutils literal"><span class="pre">matplotlib.colors.NoNorm</span></tt></a> respectively.</p>
</li>
<li><p class="first">The <tt class="xref py py-obj docutils literal"><span class="pre">ScalarMappable</span></tt> class’ <tt class="xref py py-obj docutils literal"><span class="pre">set_colorbar</span></tt> is now
deprecated. Instead, the
<a class="reference internal" href="cm_api.html#matplotlib.cm.ScalarMappable.colorbar" title="matplotlib.cm.ScalarMappable.colorbar"><tt class="xref py py-attr docutils literal"><span class="pre">matplotlib.cm.ScalarMappable.colorbar</span></tt></a> attribute should be
used. In previous matplotlib versions this attribute was an
undocumented tuple of <tt class="docutils literal"><span class="pre">(colorbar_instance,</span> <span class="pre">colorbar_axes)</span></tt> but is
now just <tt class="docutils literal"><span class="pre">colorbar_instance</span></tt>. To get the colorbar axes it is
possible to just use the
<a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.ColorbarBase.ax" title="matplotlib.colorbar.ColorbarBase.ax"><tt class="xref py py-attr docutils literal"><span class="pre">ax</span></tt></a> attribute on a colorbar
instance.</p>
</li>
<li><p class="first">The <tt class="xref py py-obj docutils literal"><span class="pre">mpl</span></tt> module is now deprecated. Those who relied on this
module should transition to simply using <tt class="docutils literal"><span class="pre">import</span> <span class="pre">matplotlib</span> <span class="pre">as</span> <span class="pre">mpl</span></tt>.</p>
</li>
</ul>
</div>
<div class="section" id="id2">
<h3>Code changes<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h3>
<ul>
<li><p class="first"><a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><tt class="xref py py-class docutils literal"><span class="pre">Patch</span></tt></a> now fully supports using RGBA values for
its <tt class="docutils literal"><span class="pre">facecolor</span></tt> and <tt class="docutils literal"><span class="pre">edgecolor</span></tt> attributes, which enables faces and
edges to have different alpha values. If the
<a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><tt class="xref py py-class docutils literal"><span class="pre">Patch</span></tt></a> object’s <tt class="docutils literal"><span class="pre">alpha</span></tt> attribute is set to
anything other than <tt class="docutils literal"><span class="pre">None</span></tt>, that value will override any alpha-channel
value in both the face and edge colors. Previously, if
<a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><tt class="xref py py-class docutils literal"><span class="pre">Patch</span></tt></a> had <tt class="docutils literal"><span class="pre">alpha=None</span></tt>, the alpha component
of <tt class="docutils literal"><span class="pre">edgecolor</span></tt> would be applied to both the edge and face.</p>
</li>
<li><p class="first">The optional <tt class="docutils literal"><span class="pre">isRGB</span></tt> argument to
<a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.GraphicsContextBase.set_foreground" title="matplotlib.backend_bases.GraphicsContextBase.set_foreground"><tt class="xref py py-meth docutils literal"><span class="pre">set_foreground()</span></tt></a> (and
the other GraphicsContext classes that descend from it) has been renamed to
<tt class="docutils literal"><span class="pre">isRGBA</span></tt>, and should now only be set to <tt class="docutils literal"><span class="pre">True</span></tt> if the <tt class="docutils literal"><span class="pre">fg</span></tt> color
argument is known to be an RGBA tuple.</p>
</li>
<li><p class="first">For <a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><tt class="xref py py-class docutils literal"><span class="pre">Patch</span></tt></a>, the <tt class="docutils literal"><span class="pre">capstyle</span></tt> used is now
<tt class="docutils literal"><span class="pre">butt</span></tt>, to be consistent with the default for most other objects, and to
avoid problems with non-solid <tt class="docutils literal"><span class="pre">linestyle</span></tt> appearing solid when using a
large <tt class="docutils literal"><span class="pre">linewidth</span></tt>. Previously, <a class="reference internal" href="patches_api.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><tt class="xref py py-class docutils literal"><span class="pre">Patch</span></tt></a> used
<tt class="docutils literal"><span class="pre">capstyle='projecting'</span></tt>.</p>
</li>
<li><p class="first"><tt class="xref py py-obj docutils literal"><span class="pre">Path</span></tt> objects can now be marked as <tt class="xref py py-obj docutils literal"><span class="pre">readonly</span></tt> by passing
<tt class="xref py py-obj docutils literal"><span class="pre">readonly=True</span></tt> to its constructor. The built-in path singletons,
obtained through <tt class="xref py py-obj docutils literal"><span class="pre">Path.unit*</span></tt> class methods return readonly paths.
If you have code that modified these, you will need to make a
deepcopy first, using either:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="kn">import</span> <span class="nn">copy</span>
<span class="n">path</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">Path</span><span class="o">.</span><span class="n">unit_circle</span><span class="p">())</span>
<span class="c"># or</span>
<span class="n">path</span> <span class="o">=</span> <span class="n">Path</span><span class="o">.</span><span class="n">unit_circle</span><span class="p">()</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">()</span>
</pre></div>
</div>
<p>Deep copying a <tt class="xref py py-obj docutils literal"><span class="pre">Path</span></tt> always creates an editable (i.e. non-readonly)
<tt class="xref py py-obj docutils literal"><span class="pre">Path</span></tt>.</p>
</li>
<li><p class="first">The list at <tt class="docutils literal"><span class="pre">Path.NUM_VERTICES</span></tt> was replaced by a dictionary mapping
Path codes to the number of expected vertices at
<a class="reference internal" href="path_api.html#matplotlib.path.Path.NUM_VERTICES_FOR_CODE" title="matplotlib.path.Path.NUM_VERTICES_FOR_CODE"><tt class="xref py py-attr docutils literal"><span class="pre">NUM_VERTICES_FOR_CODE</span></tt></a>.</p>
</li>
<li><p class="first">To support XKCD style plots, the <a class="reference internal" href="path_api.html#matplotlib.path.cleanup_path" title="matplotlib.path.cleanup_path"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.path.cleanup_path()</span></tt></a>
method’s signature was updated to require a sketch argument. Users of
<a class="reference internal" href="path_api.html#matplotlib.path.cleanup_path" title="matplotlib.path.cleanup_path"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.path.cleanup_path()</span></tt></a> are encouraged to use the new
<a class="reference internal" href="path_api.html#matplotlib.path.Path.cleaned" title="matplotlib.path.Path.cleaned"><tt class="xref py py-meth docutils literal"><span class="pre">cleaned()</span></tt></a> Path method.</p>
</li>
<li><p class="first">Data limits on a plot now start from a state of having “null”
limits, rather than limits in the range (0, 1). This has an effect
on artists that only control limits in one direction, such as
<tt class="xref py py-obj docutils literal"><span class="pre">axvline</span></tt> and <tt class="xref py py-obj docutils literal"><span class="pre">axhline</span></tt>, since their limits will not longer also
include the range (0, 1). This fixes some problems where the
computed limits would be dependent on the order in which artists
were added to the axes.</p>
</li>
<li><p class="first">Fixed a bug in setting the position for the right/top spine with data
position type. Previously, it would draw the right or top spine at
+1 data offset.</p>
</li>
<li><p class="first">In <a class="reference internal" href="patches_api.html#matplotlib.patches.FancyArrow" title="matplotlib.patches.FancyArrow"><tt class="xref py py-class docutils literal"><span class="pre">FancyArrow</span></tt></a>, the default arrow head
width, <tt class="docutils literal"><span class="pre">head_width</span></tt>, has been made larger to produce a visible
arrow head. The new value of this kwarg is <tt class="docutils literal"><span class="pre">head_width</span> <span class="pre">=</span> <span class="pre">20</span> <span class="pre">*</span>
<span class="pre">width</span></tt>.</p>
</li>
<li><p class="first">It is now possible to provide <tt class="docutils literal"><span class="pre">number</span> <span class="pre">of</span> <span class="pre">levels</span> <span class="pre">+</span> <span class="pre">1</span></tt> colors in the case of
<tt class="xref py py-obj docutils literal"><span class="pre">extend='both'</span></tt> for contourf (or just <tt class="docutils literal"><span class="pre">number</span> <span class="pre">of</span> <span class="pre">levels</span></tt> colors for an
extend value <tt class="docutils literal"><span class="pre">min</span></tt> or <tt class="docutils literal"><span class="pre">max</span></tt>) such that the resulting colormap’s
<tt class="docutils literal"><span class="pre">set_under</span></tt> and <tt class="docutils literal"><span class="pre">set_over</span></tt> are defined appropriately. Any other number
of colors will continue to behave as before (if more colors are provided
than levels, the colors will be unused). A similar change has been applied
to contour, where <tt class="docutils literal"><span class="pre">extend='both'</span></tt> would expect <tt class="docutils literal"><span class="pre">number</span> <span class="pre">of</span> <span class="pre">levels</span> <span class="pre">+</span> <span class="pre">2</span></tt>
colors.</p>
</li>
<li><p class="first">A new keyword <em>extendrect</em> in <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><tt class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></tt></a> and
<a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><tt class="xref py py-class docutils literal"><span class="pre">ColorbarBase</span></tt></a> allows one to control the shape
of colorbar extensions.</p>
</li>
<li><p class="first">The extension of <a class="reference internal" href="widgets_api.html#matplotlib.widgets.MultiCursor" title="matplotlib.widgets.MultiCursor"><tt class="xref py py-class docutils literal"><span class="pre">MultiCursor</span></tt></a> to both vertical
(default) and/or horizontal cursor implied that <tt class="docutils literal"><span class="pre">self.line</span></tt> is replaced
by <tt class="docutils literal"><span class="pre">self.vline</span></tt> for vertical cursors lines and <tt class="docutils literal"><span class="pre">self.hline</span></tt> is added
for the horizontal cursors lines.</p>
</li>
<li><p class="first">On POSIX platforms, the <a class="reference internal" href="cbook_api.html#matplotlib.cbook.report_memory" title="matplotlib.cbook.report_memory"><tt class="xref py py-func docutils literal"><span class="pre">report_memory()</span></tt></a> function
raises <tt class="xref py py-class docutils literal"><span class="pre">NotImplementedError</span></tt> instead of <tt class="xref py py-class docutils literal"><span class="pre">OSError</span></tt> if the
<strong class="command">ps</strong> command cannot be run.</p>
</li>
<li><p class="first">The <tt class="xref py py-func docutils literal"><span class="pre">matplotlib.cbook.check_output()</span></tt> function has been moved to
<tt class="xref py py-func docutils literal"><span class="pre">matplotlib.compat.subprocess()</span></tt>.</p>
</li>
</ul>
</div>
<div class="section" id="configuration-and-rcparams">
<h3>Configuration and rcParams<a class="headerlink" href="#configuration-and-rcparams" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>On Linux, the user-specific <tt class="xref py py-obj docutils literal"><span class="pre">matplotlibrc</span></tt> configuration file is now
located in <tt class="xref py py-obj docutils literal"><span class="pre">config/matplotlib/matplotlibrc</span></tt> to conform to the
<a class="reference external" href="http://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html">XDG Base Directory Specification</a>.</li>
<li>The <tt class="xref py py-obj docutils literal"><span class="pre">font.*</span></tt> rcParams now affect only text objects created after the
rcParam has been set, and will not retroactively affect already
existing text objects. This brings their behavior in line with most
other rcParams.</li>
<li>Removed call of <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.grid" title="matplotlib.axes.Axes.grid"><tt class="xref py py-meth docutils literal"><span class="pre">grid()</span></tt></a> in
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.plotfile" title="matplotlib.pyplot.plotfile"><tt class="xref py py-meth docutils literal"><span class="pre">plotfile()</span></tt></a>. To draw the axes grid, set the
<tt class="docutils literal"><span class="pre">axes.grid</span></tt> rcParam to <em>True</em>, or explicitly call
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.grid" title="matplotlib.axes.Axes.grid"><tt class="xref py py-meth docutils literal"><span class="pre">grid()</span></tt></a>.</li>
</ul>
</div>
</div>
<div class="section" id="changes-in-1-2-x">
<h2>Changes in 1.2.x<a class="headerlink" href="#changes-in-1-2-x" title="Permalink to this headline">¶</a></h2>
<ul>
<li><p class="first">The <tt class="docutils literal"><span class="pre">classic</span></tt> option of the rc parameter <tt class="docutils literal"><span class="pre">toolbar</span></tt> is deprecated
and will be removed in the next release.</p>
</li>
<li><p class="first">The <tt class="xref py py-meth docutils literal"><span class="pre">isvector()</span></tt> method has been removed since it
is no longer functional.</p>
</li>
<li><p class="first">The <tt class="xref py py-obj docutils literal"><span class="pre">rasterization_zorder</span></tt> property on <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-obj docutils literal"><span class="pre">Axes</span></tt></a> a
zorder below which artists are rasterized. This has defaulted to
-30000.0, but it now defaults to <tt class="xref py py-obj docutils literal"><span class="pre">None</span></tt>, meaning no artists will be
rasterized. In order to rasterize artists below a given zorder
value, <tt class="xref py py-obj docutils literal"><span class="pre">set_rasterization_zorder</span></tt> must be explicitly called.</p>
</li>
<li><p class="first">In <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.scatter" title="matplotlib.axes.Axes.scatter"><tt class="xref py py-meth docutils literal"><span class="pre">scatter()</span></tt></a>, and <tt class="xref py py-obj docutils literal"><span class="pre">scatter</span></tt>,
when specifying a marker using a tuple, the angle is now specified
in degrees, not radians.</p>
</li>
<li><p class="first">Using <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.twinx" title="matplotlib.axes.Axes.twinx"><tt class="xref py py-meth docutils literal"><span class="pre">twinx()</span></tt></a> or
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.twiny" title="matplotlib.axes.Axes.twiny"><tt class="xref py py-meth docutils literal"><span class="pre">twiny()</span></tt></a> no longer overrides the current locaters
and formatters on the axes.</p>
</li>
<li><p class="first">In <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.contourf" title="matplotlib.axes.Axes.contourf"><tt class="xref py py-meth docutils literal"><span class="pre">contourf()</span></tt></a>, the handling of the <em>extend</em>
kwarg has changed. Formerly, the extended ranges were mapped
after to 0, 1 after being normed, so that they always corresponded
to the extreme values of the colormap. Now they are mapped
outside this range so that they correspond to the special
colormap values determined by the
<a class="reference internal" href="colors_api.html#matplotlib.colors.Colormap.set_under" title="matplotlib.colors.Colormap.set_under"><tt class="xref py py-meth docutils literal"><span class="pre">set_under()</span></tt></a> and
<a class="reference internal" href="colors_api.html#matplotlib.colors.Colormap.set_over" title="matplotlib.colors.Colormap.set_over"><tt class="xref py py-meth docutils literal"><span class="pre">set_over()</span></tt></a> methods, which
default to the colormap end points.</p>
</li>
<li><p class="first">The new rc parameter <tt class="docutils literal"><span class="pre">savefig.format</span></tt> replaces <tt class="docutils literal"><span class="pre">cairo.format</span></tt> and
<tt class="docutils literal"><span class="pre">savefig.extension</span></tt>, and sets the default file format used by
<a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.savefig" title="matplotlib.figure.Figure.savefig"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.figure.Figure.savefig()</span></tt></a>.</p>
</li>
<li><p class="first">In <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pie" title="matplotlib.pyplot.pie"><tt class="xref py py-meth docutils literal"><span class="pre">pie()</span></tt></a> and <tt class="xref py py-meth docutils literal"><span class="pre">pie()</span></tt>, one can
now set the radius of the pie; setting the <em>radius</em> to ‘None’ (the default
value), will result in a pie with a radius of 1 as before.</p>
</li>
<li><p class="first">Use of <tt class="xref py py-func docutils literal"><span class="pre">projection_factory()</span></tt> is now deprecated
in favour of axes class identification using
<a class="reference internal" href="../devel/add_new_projection.html#matplotlib.projections.process_projection_requirements" title="matplotlib.projections.process_projection_requirements"><tt class="xref py py-func docutils literal"><span class="pre">process_projection_requirements()</span></tt></a> followed by
direct axes class invocation (at the time of writing, functions which do this
are: <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><tt class="xref py py-meth docutils literal"><span class="pre">add_axes()</span></tt></a>,
<a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot"><tt class="xref py py-meth docutils literal"><span class="pre">add_subplot()</span></tt></a> and
<a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.gca" title="matplotlib.figure.Figure.gca"><tt class="xref py py-meth docutils literal"><span class="pre">gca()</span></tt></a>). Therefore:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">key</span> <span class="o">=</span> <span class="n">figure</span><span class="o">.</span><span class="n">_make_key</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">ispolar</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s">'polar'</span><span class="p">,</span> <span class="bp">False</span><span class="p">)</span>
<span class="n">projection</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s">'projection'</span><span class="p">,</span> <span class="bp">None</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ispolar</span><span class="p">:</span>
<span class="k">if</span> <span class="n">projection</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span> <span class="ow">and</span> <span class="n">projection</span> <span class="o">!=</span> <span class="s">'polar'</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s">'polar and projection args are inconsistent'</span><span class="p">)</span>
<span class="n">projection</span> <span class="o">=</span> <span class="s">'polar'</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">projection_factory</span><span class="p">(</span><span class="n">projection</span><span class="p">,</span> <span class="bp">self</span><span class="p">,</span> <span class="n">rect</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">key</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_make_key</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="c"># is now</span>
<span class="n">projection_class</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">,</span> <span class="n">key</span> <span class="o">=</span> \
<span class="n">process_projection_requirements</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">projection_class</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">rect</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
</pre></div>
</div>
<p>This change means that third party objects can expose themselves as
matplotlib axes by providing a <tt class="docutils literal"><span class="pre">_as_mpl_axes</span></tt> method. See
<a class="reference internal" href="../devel/add_new_projection.html#adding-new-scales"><em>Adding new scales and projections to matplotlib</em></a> for more detail.</p>
</li>
<li><p class="first">A new keyword <em>extendfrac</em> in <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><tt class="xref py py-meth docutils literal"><span class="pre">colorbar()</span></tt></a> and
<a class="reference internal" href="colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><tt class="xref py py-class docutils literal"><span class="pre">ColorbarBase</span></tt></a> allows one to control the size of
the triangular minimum and maximum extensions on colorbars.</p>
</li>
<li><p class="first">A new keyword <em>capthick</em> in <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.errorbar" title="matplotlib.pyplot.errorbar"><tt class="xref py py-meth docutils literal"><span class="pre">errorbar()</span></tt></a> has been
added as an intuitive alias to the <em>markeredgewidth</em> and <em>mew</em> keyword
arguments, which indirectly controlled the thickness of the caps on
the errorbars. For backwards compatibility, specifying either of the
original keyword arguments will override any value provided by
<em>capthick</em>.</p>
</li>
<li><p class="first">Transform subclassing behaviour is now subtly changed. If your transform
implements a non-affine transformation, then it should override the
<tt class="docutils literal"><span class="pre">transform_non_affine</span></tt> method, rather than the generic <tt class="docutils literal"><span class="pre">transform</span></tt> method.
Previously transforms would define <tt class="docutils literal"><span class="pre">transform</span></tt> and then copy the
method into <tt class="docutils literal"><span class="pre">transform_non_affine</span></tt>:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="k">class</span> <span class="nc">MyTransform</span><span class="p">(</span><span class="n">mtrans</span><span class="o">.</span><span class="n">Transform</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xy</span><span class="p">):</span>
<span class="o">...</span>
<span class="n">transform_non_affine</span> <span class="o">=</span> <span class="n">transform</span>
</pre></div>
</div>
<p>This approach will no longer function correctly and should be changed to:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="k">class</span> <span class="nc">MyTransform</span><span class="p">(</span><span class="n">mtrans</span><span class="o">.</span><span class="n">Transform</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">transform_non_affine</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">xy</span><span class="p">):</span>
<span class="o">...</span>
</pre></div>
</div>
</li>
<li><p class="first">Artists no longer have <tt class="docutils literal"><span class="pre">x_isdata</span></tt> or <tt class="docutils literal"><span class="pre">y_isdata</span></tt> attributes; instead
any artist’s transform can be interrogated with
<tt class="docutils literal"><span class="pre">artist_instance.get_transform().contains_branch(ax.transData)</span></tt></p>
</li>
<li><p class="first">Lines added to an axes now take into account their transform when updating the
data and view limits. This means transforms can now be used as a pre-transform.
For instance:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.transforms</span> <span class="kn">as</span> <span class="nn">mtrans</span>
<span class="gp">>>> </span><span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
<span class="gp">>>> </span><span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span> <span class="n">transform</span><span class="o">=</span><span class="n">mtrans</span><span class="o">.</span><span class="n">Affine2D</span><span class="p">()</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span> <span class="o">+</span> <span class="n">ax</span><span class="o">.</span><span class="n">transData</span><span class="p">)</span>
<span class="gp">>>> </span><span class="k">print</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">viewLim</span><span class="p">)</span>
<span class="go">Bbox('array([[ 0., 0.],\n [ 90., 90.]])')</span>
</pre></div>
</div>
</li>
<li><p class="first">One can now easily get a transform which goes from one transform’s coordinate
system to another, in an optimized way, using the new subtract method on a
transform. For instance, to go from data coordinates to axes coordinates:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="gp">>>> </span><span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
<span class="gp">>>> </span><span class="n">data2ax</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">transData</span> <span class="o">-</span> <span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span>
<span class="gp">>>> </span><span class="k">print</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">transData</span><span class="o">.</span><span class="n">depth</span><span class="p">,</span> <span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="o">.</span><span class="n">depth</span><span class="p">)</span>
<span class="go">3, 1</span>
<span class="gp">>>> </span><span class="k">print</span><span class="p">(</span><span class="n">data2ax</span><span class="o">.</span><span class="n">depth</span><span class="p">)</span>
<span class="go">2</span>
</pre></div>
</div>
<p>for versions before 1.2 this could only be achieved in a sub-optimal way,
using <tt class="docutils literal"><span class="pre">ax.transData</span> <span class="pre">+</span> <span class="pre">ax.transAxes.inverted()</span></tt> (depth is a new concept,
but had it existed it would return 4 for this example).</p>
</li>
<li><p class="first"><tt class="docutils literal"><span class="pre">twinx</span></tt> and <tt class="docutils literal"><span class="pre">twiny</span></tt> now returns an instance of SubplotBase if
parent axes is an instance of SubplotBase.</p>
</li>
<li><p class="first">All Qt3-based backends are now deprecated due to the lack of py3k bindings.
Qt and QtAgg backends will continue to work in v1.2.x for py2.6
and py2.7. It is anticipated that the Qt3 support will be completely
removed for the next release.</p>
</li>
<li><p class="first"><a class="reference internal" href="colors_api.html#matplotlib.colors.ColorConverter" title="matplotlib.colors.ColorConverter"><tt class="xref py py-class docutils literal"><span class="pre">ColorConverter</span></tt></a>,
<a class="reference internal" href="colors_api.html#matplotlib.colors.Colormap" title="matplotlib.colors.Colormap"><tt class="xref py py-class docutils literal"><span class="pre">Colormap</span></tt></a> and
<a class="reference internal" href="colors_api.html#matplotlib.colors.Normalize" title="matplotlib.colors.Normalize"><tt class="xref py py-class docutils literal"><span class="pre">Normalize</span></tt></a> now subclasses <tt class="docutils literal"><span class="pre">object</span></tt></p>
</li>
<li><p class="first">ContourSet instances no longer have a <tt class="docutils literal"><span class="pre">transform</span></tt> attribute. Instead,
access the transform with the <tt class="docutils literal"><span class="pre">get_transform</span></tt> method.</p>
</li>
</ul>
</div>
<div class="section" id="changes-in-1-1-x">
<h2>Changes in 1.1.x<a class="headerlink" href="#changes-in-1-1-x" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>Added new <a class="reference internal" href="sankey_api.html#matplotlib.sankey.Sankey" title="matplotlib.sankey.Sankey"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.sankey.Sankey</span></tt></a> for generating Sankey diagrams.</li>
<li>In <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imshow" title="matplotlib.pyplot.imshow"><tt class="xref py py-meth docutils literal"><span class="pre">imshow()</span></tt></a>, setting <em>interpolation</em> to ‘nearest’
will now always mean that the nearest-neighbor interpolation is performed.
If you want the no-op interpolation to be performed, choose ‘none’.</li>
<li>There were errors in how the tri-functions were handling input parameters
that had to be fixed. If your tri-plots are not working correctly anymore,
or you were working around apparent mistakes, please see issue #203 in the
github tracker. When in doubt, use kwargs.</li>
<li>The ‘symlog’ scale had some bad behavior in previous versions. This has now
been fixed and users should now be able to use it without frustrations.
The fixes did result in some minor changes in appearance for some users who
may have been depending on the bad behavior.</li>
<li>There is now a common set of markers for all plotting functions. Previously,
some markers existed only for <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter"><tt class="xref py py-meth docutils literal"><span class="pre">scatter()</span></tt></a> or just for
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.plot" title="matplotlib.pyplot.plot"><tt class="xref py py-meth docutils literal"><span class="pre">plot()</span></tt></a>. This is now no longer the case. This merge
did result in a conflict. The string ‘d’ now means “thin diamond” while
‘D’ will mean “regular diamond”.</li>
</ul>
</div>
<div class="section" id="changes-beyond-0-99-x">
<h2>Changes beyond 0.99.x<a class="headerlink" href="#changes-beyond-0-99-x" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>The default behavior of <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_xlim" title="matplotlib.axes.Axes.set_xlim"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.set_xlim()</span></tt></a>,
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.set_ylim" title="matplotlib.axes.Axes.set_ylim"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.set_ylim()</span></tt></a>, and
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.axis" title="matplotlib.axes.Axes.axis"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.axis()</span></tt></a>, and their corresponding
pyplot functions, has been changed: when view limits are
set explicitly with one of these methods, autoscaling is turned
off for the matching axis. A new <em>auto</em> kwarg is available to
control this behavior. The limit kwargs have been renamed to
<em>left</em> and <em>right</em> instead of <em>xmin</em> and <em>xmax</em>, and <em>bottom</em>
and <em>top</em> instead of <em>ymin</em> and <em>ymax</em>. The old names may still
be used, however.</li>
<li>There are five new Axes methods with corresponding pyplot
functions to facilitate autoscaling, tick location, and tick
label formatting, and the general appearance of ticks and
tick labels:<ul>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.autoscale" title="matplotlib.axes.Axes.autoscale"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.autoscale()</span></tt></a> turns autoscaling
on or off, and applies it.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.margins" title="matplotlib.axes.Axes.margins"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.margins()</span></tt></a> sets margins used to
autoscale the <tt class="xref py py-attr docutils literal"><span class="pre">matplotlib.axes.Axes.viewLim</span></tt> based on
the <tt class="xref py py-attr docutils literal"><span class="pre">matplotlib.axes.Axes.dataLim</span></tt>.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.locator_params" title="matplotlib.axes.Axes.locator_params"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.locator_params()</span></tt></a> allows one to
adjust axes locator parameters such as <em>nbins</em>.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.ticklabel_format" title="matplotlib.axes.Axes.ticklabel_format"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.ticklabel_format()</span></tt></a> is a convenience
method for controlling the <a class="reference internal" href="ticker_api.html#matplotlib.ticker.ScalarFormatter" title="matplotlib.ticker.ScalarFormatter"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.ticker.ScalarFormatter</span></tt></a>
that is used by default with linear axes.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.tick_params" title="matplotlib.axes.Axes.tick_params"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.tick_params()</span></tt></a> controls direction, size,
visibility, and color of ticks and their labels.</li>
</ul>
</li>
<li>The <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.bar" title="matplotlib.axes.Axes.bar"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.bar()</span></tt></a> method accepts a <em>error_kw</em>
kwarg; it is a dictionary of kwargs to be passed to the
errorbar function.</li>
<li>The <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.hist()</span></tt></a> <em>color</em> kwarg now accepts
a sequence of color specs to match a sequence of datasets.</li>
<li>The <a class="reference internal" href="collections_api.html#matplotlib.collections.EllipseCollection" title="matplotlib.collections.EllipseCollection"><tt class="xref py py-class docutils literal"><span class="pre">EllipseCollection</span></tt></a> has been
changed in two ways:<ul>
<li>There is a new <em>units</em> option, ‘xy’, that scales the ellipse with
the data units. This matches the :class:’~matplotlib.patches.Ellipse`
scaling.</li>
<li>The <em>height</em> and <em>width</em> kwargs have been changed to specify
the height and width, again for consistency with
<a class="reference internal" href="patches_api.html#matplotlib.patches.Ellipse" title="matplotlib.patches.Ellipse"><tt class="xref py py-class docutils literal"><span class="pre">Ellipse</span></tt></a>, and to better match
their names; previously they specified the half-height and
half-width.</li>
</ul>
</li>
<li>There is a new rc parameter <tt class="docutils literal"><span class="pre">axes.color_cycle</span></tt>, and the color
cycle is now independent of the rc parameter <tt class="docutils literal"><span class="pre">lines.color</span></tt>.
<tt class="xref py py-func docutils literal"><span class="pre">matplotlib.Axes.set_default_color_cycle()</span></tt> is deprecated.</li>
<li>You can now print several figures to one pdf file and modify the
document information dictionary of a pdf file. See the docstrings
of the class <a class="reference internal" href="backend_pdf_api.html#matplotlib.backends.backend_pdf.PdfPages" title="matplotlib.backends.backend_pdf.PdfPages"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.backends.backend_pdf.PdfPages</span></tt></a> for
more information.</li>
<li>Removed <a class="reference external" href="http://www.voidspace.org.uk/python/configobj.html">configobj</a> and <a class="reference external" href="http://code.enthought.com/projects/traits">enthought.traits</a> packages, which are only
required by the experimental traited config and are somewhat out of
date. If needed, install them independently.</li>
</ul>
<ul>
<li><p class="first">The new rc parameter <tt class="docutils literal"><span class="pre">savefig.extension</span></tt> sets the filename extension
that is used by <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure.savefig" title="matplotlib.figure.Figure.savefig"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.figure.Figure.savefig()</span></tt></a> if its <em>fname</em>
argument lacks an extension.</p>
</li>
<li><p class="first">In an effort to simplify the backend API, all clipping rectangles
and paths are now passed in using GraphicsContext objects, even
on collections and images. Therefore:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">draw_path_collection</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">master_transform</span><span class="p">,</span> <span class="n">cliprect</span><span class="p">,</span> <span class="n">clippath</span><span class="p">,</span>
<span class="n">clippath_trans</span><span class="p">,</span> <span class="n">paths</span><span class="p">,</span> <span class="n">all_transforms</span><span class="p">,</span> <span class="n">offsets</span><span class="p">,</span>
<span class="n">offsetTrans</span><span class="p">,</span> <span class="n">facecolors</span><span class="p">,</span> <span class="n">edgecolors</span><span class="p">,</span> <span class="n">linewidths</span><span class="p">,</span>
<span class="n">linestyles</span><span class="p">,</span> <span class="n">antialiaseds</span><span class="p">,</span> <span class="n">urls</span><span class="p">)</span>
<span class="c"># is now</span>
<span class="n">draw_path_collection</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gc</span><span class="p">,</span> <span class="n">master_transform</span><span class="p">,</span> <span class="n">paths</span><span class="p">,</span> <span class="n">all_transforms</span><span class="p">,</span>
<span class="n">offsets</span><span class="p">,</span> <span class="n">offsetTrans</span><span class="p">,</span> <span class="n">facecolors</span><span class="p">,</span> <span class="n">edgecolors</span><span class="p">,</span>
<span class="n">linewidths</span><span class="p">,</span> <span class="n">linestyles</span><span class="p">,</span> <span class="n">antialiaseds</span><span class="p">,</span> <span class="n">urls</span><span class="p">)</span>
<span class="n">draw_quad_mesh</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">master_transform</span><span class="p">,</span> <span class="n">cliprect</span><span class="p">,</span> <span class="n">clippath</span><span class="p">,</span>
<span class="n">clippath_trans</span><span class="p">,</span> <span class="n">meshWidth</span><span class="p">,</span> <span class="n">meshHeight</span><span class="p">,</span> <span class="n">coordinates</span><span class="p">,</span>
<span class="n">offsets</span><span class="p">,</span> <span class="n">offsetTrans</span><span class="p">,</span> <span class="n">facecolors</span><span class="p">,</span> <span class="n">antialiased</span><span class="p">,</span>
<span class="n">showedges</span><span class="p">)</span>
<span class="c"># is now</span>
<span class="n">draw_quad_mesh</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gc</span><span class="p">,</span> <span class="n">master_transform</span><span class="p">,</span> <span class="n">meshWidth</span><span class="p">,</span> <span class="n">meshHeight</span><span class="p">,</span>
<span class="n">coordinates</span><span class="p">,</span> <span class="n">offsets</span><span class="p">,</span> <span class="n">offsetTrans</span><span class="p">,</span> <span class="n">facecolors</span><span class="p">,</span>
<span class="n">antialiased</span><span class="p">,</span> <span class="n">showedges</span><span class="p">)</span>
<span class="n">draw_image</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">im</span><span class="p">,</span> <span class="n">bbox</span><span class="p">,</span> <span class="n">clippath</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">clippath_trans</span><span class="o">=</span><span class="bp">None</span><span class="p">)</span>
<span class="c"># is now</span>
<span class="n">draw_image</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gc</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">im</span><span class="p">)</span>
</pre></div>
</div>
</li>
<li><p class="first">There are four new Axes methods with corresponding pyplot
functions that deal with unstructured triangular grids:</p>
<ul class="simple">
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.tricontour" title="matplotlib.axes.Axes.tricontour"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.tricontour()</span></tt></a> draws contour lines
on a triangular grid.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.tricontourf" title="matplotlib.axes.Axes.tricontourf"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.tricontourf()</span></tt></a> draws filled contours
on a triangular grid.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.tripcolor" title="matplotlib.axes.Axes.tripcolor"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.tripcolor()</span></tt></a> draws a pseudocolor
plot on a triangular grid.</li>
<li><a class="reference internal" href="axes_api.html#matplotlib.axes.Axes.triplot" title="matplotlib.axes.Axes.triplot"><tt class="xref py py-meth docutils literal"><span class="pre">matplotlib.axes.Axes.triplot()</span></tt></a> draws a triangular grid
as lines and/or markers.</li>
</ul>
</li>
</ul>
</div>
<div class="section" id="changes-in-0-99">
<h2>Changes in 0.99<a class="headerlink" href="#changes-in-0-99" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>pylab no longer provides a load and save function. These are
available in matplotlib.mlab, or you can use numpy.loadtxt and
numpy.savetxt for text files, or np.save and np.load for binary
numpy arrays.</li>
<li>User-generated colormaps can now be added to the set recognized
by <a class="reference internal" href="cm_api.html#matplotlib.cm.get_cmap" title="matplotlib.cm.get_cmap"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.cm.get_cmap()</span></tt></a>. Colormaps can be made the
default and applied to the current image using
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.set_cmap" title="matplotlib.pyplot.set_cmap"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.pyplot.set_cmap()</span></tt></a>.</li>
<li>changed use_mrecords default to False in mlab.csv2rec since this is
partially broken</li>
<li>Axes instances no longer have a “frame” attribute. Instead, use the
new “spines” attribute. Spines is a dictionary where the keys are
the names of the spines (e.g., ‘left’,’right’ and so on) and the
values are the artists that draw the spines. For normal
(rectilinear) axes, these artists are Line2D instances. For other
axes (such as polar axes), these artists may be Patch instances.</li>
<li>Polar plots no longer accept a resolution kwarg. Instead, each Path
must specify its own number of interpolation steps. This is
unlikely to be a user-visible change – if interpolation of data is
required, that should be done before passing it to matplotlib.</li>
</ul>
</div>
<div class="section" id="changes-for-0-98-x">
<h2>Changes for 0.98.x<a class="headerlink" href="#changes-for-0-98-x" title="Permalink to this headline">¶</a></h2>
<ul>
<li><p class="first">psd(), csd(), and cohere() will now automatically wrap negative
frequency components to the beginning of the returned arrays.
This is much more sensible behavior and makes them consistent
with specgram(). The previous behavior was more of an oversight
than a design decision.</p>
</li>
<li><p class="first">Added new keyword parameters <em>nonposx</em>, <em>nonposy</em> to
<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.axes.Axes</span></tt></a> methods that set log scale
parameters. The default is still to mask out non-positive
values, but the kwargs accept ‘clip’, which causes non-positive
values to be replaced with a very small positive value.</p>
</li>
<li><p class="first">Added new <tt class="xref py py-func docutils literal"><span class="pre">matplotlib.pyplot.fignum_exists()</span></tt> and
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.get_fignums" title="matplotlib.pyplot.get_fignums"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.pyplot.get_fignums()</span></tt></a>; they merely expose
information that had been hidden in <tt class="xref py py-mod docutils literal"><span class="pre">matplotlib._pylab_helpers</span></tt>.</p>
</li>
<li><p class="first">Deprecated numerix package.</p>
</li>
<li><p class="first">Added new <a class="reference internal" href="image_api.html#matplotlib.image.imsave" title="matplotlib.image.imsave"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.image.imsave()</span></tt></a> and exposed it to the
<a class="reference internal" href="pyplot_api.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><tt class="xref py py-mod docutils literal"><span class="pre">matplotlib.pyplot</span></tt></a> interface.</p>
</li>
<li><p class="first">Remove support for pyExcelerator in exceltools – use xlwt
instead</p>