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<h1>API Changes in 1.2.x<a class="headerlink" href="#api-changes-in-1-2-x" title="Link to this heading">#</a></h1>
<ul>
<li><p>The <code class="docutils literal notranslate"><span class="pre">classic</span></code> option of the rc parameter <code class="docutils literal notranslate"><span class="pre">toolbar</span></code> is deprecated
and will be removed in the next release.</p></li>
<li><p>The <code class="docutils literal notranslate"><span class="pre">matplotlib.cbook.isvector</span></code> method has been removed since it
is no longer functional.</p></li>
<li><p>The <code class="docutils literal notranslate"><span class="pre">rasterization_zorder</span></code> property on <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes</span></code></a> sets a
zorder below which artists are rasterized. This has defaulted to
-30000.0, but it now defaults to <em>None</em>, meaning no artists will be
rasterized. In order to rasterize artists below a given zorder
value, <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.set_rasterization_zorder.html#matplotlib.axes.Axes.set_rasterization_zorder" title="matplotlib.axes.Axes.set_rasterization_zorder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_rasterization_zorder</span></code></a> must be explicitly called.</p></li>
<li><p>In <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.scatter.html#matplotlib.axes.Axes.scatter" title="matplotlib.axes.Axes.scatter"><code class="xref py py-meth docutils literal notranslate"><span class="pre">scatter()</span></code></a>, and <a class="reference internal" href="../_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter</span></code></a>,
when specifying a marker using a tuple, the angle is now specified
in degrees, not radians.</p></li>
<li><p>Using <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.twinx.html#matplotlib.axes.Axes.twinx" title="matplotlib.axes.Axes.twinx"><code class="xref py py-meth docutils literal notranslate"><span class="pre">twinx()</span></code></a> or
<a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.twiny.html#matplotlib.axes.Axes.twiny" title="matplotlib.axes.Axes.twiny"><code class="xref py py-meth docutils literal notranslate"><span class="pre">twiny()</span></code></a> no longer overrides the current locaters
and formatters on the axes.</p></li>
<li><p>In <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.contourf.html#matplotlib.axes.Axes.contourf" title="matplotlib.axes.Axes.contourf"><code class="xref py py-meth docutils literal notranslate"><span class="pre">contourf()</span></code></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="../_as_gen/matplotlib.colors.Colormap.html#matplotlib.colors.Colormap.set_under" title="matplotlib.colors.Colormap.set_under"><code class="xref py py-meth docutils literal notranslate"><span class="pre">set_under()</span></code></a> and
<a class="reference internal" href="../_as_gen/matplotlib.colors.Colormap.html#matplotlib.colors.Colormap.set_over" title="matplotlib.colors.Colormap.set_over"><code class="xref py py-meth docutils literal notranslate"><span class="pre">set_over()</span></code></a> methods, which
default to the colormap end points.</p></li>
<li><p>The new rc parameter <code class="docutils literal notranslate"><span class="pre">savefig.format</span></code> replaces <code class="docutils literal notranslate"><span class="pre">cairo.format</span></code> and
<code class="docutils literal notranslate"><span class="pre">savefig.extension</span></code>, and sets the default file format used by
<a class="reference internal" href="../_as_gen/matplotlib.figure.Figure.savefig.html#matplotlib.figure.Figure.savefig" title="matplotlib.figure.Figure.savefig"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.figure.Figure.savefig()</span></code></a>.</p></li>
<li><p>In <a class="reference internal" href="../_as_gen/matplotlib.pyplot.pie.html#matplotlib.pyplot.pie" title="matplotlib.pyplot.pie"><code class="xref py py-func docutils literal notranslate"><span class="pre">pyplot.pie()</span></code></a> and <a class="reference internal" href="../_as_gen/matplotlib.axes.Axes.pie.html#matplotlib.axes.Axes.pie" title="matplotlib.axes.Axes.pie"><code class="xref py py-meth docutils literal notranslate"><span class="pre">axes.Axes.pie()</span></code></a>, 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>Use of <code class="docutils literal notranslate"><span class="pre">matplotlib.projections.projection_factory</span></code> is now deprecated
in favour of axes class identification using
<code class="docutils literal notranslate"><span class="pre">matplotlib.projections.process_projection_requirements</span></code> followed by
direct axes class invocation (at the time of writing, functions which do this
are: <a class="reference internal" href="../_as_gen/matplotlib.figure.Figure.add_axes.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_axes()</span></code></a>,
<a class="reference internal" href="../_as_gen/matplotlib.figure.Figure.add_subplot.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_subplot()</span></code></a> and
<a class="reference internal" href="../_as_gen/matplotlib.figure.Figure.gca.html#matplotlib.figure.Figure.gca" title="matplotlib.figure.Figure.gca"><code class="xref py py-meth docutils literal notranslate"><span class="pre">gca()</span></code></a>). Therefore:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><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="s1">'polar'</span><span class="p">,</span> <span class="kc">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="s1">'projection'</span><span class="p">,</span> <span class="kc">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="kc">None</span> <span class="ow">and</span> <span class="n">projection</span> <span class="o">!=</span> <span class="s1">'polar'</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'polar and projection args are inconsistent'</span><span class="p">)</span>
<span class="n">projection</span> <span class="o">=</span> <span class="s1">'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="c1"># 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 <code class="docutils literal notranslate"><span class="pre">_as_mpl_axes</span></code> method. See
<a class="reference internal" href="../projections_api.html#module-matplotlib.projections" title="matplotlib.projections"><code class="xref py py-mod docutils literal notranslate"><span class="pre">matplotlib.projections</span></code></a> for more detail.</p>
</li>
<li><p>A new keyword <em>extendfrac</em> in <a class="reference internal" href="../_as_gen/matplotlib.pyplot.colorbar.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><code class="xref py py-meth docutils literal notranslate"><span class="pre">colorbar()</span></code></a> and
<a class="reference internal" href="../colorbar_api.html#matplotlib.colorbar.ColorbarBase" title="matplotlib.colorbar.ColorbarBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColorbarBase</span></code></a> allows one to control the size of
the triangular minimum and maximum extensions on colorbars.</p></li>
<li><p>A new keyword <em>capthick</em> in <a class="reference internal" href="../_as_gen/matplotlib.pyplot.errorbar.html#matplotlib.pyplot.errorbar" title="matplotlib.pyplot.errorbar"><code class="xref py py-meth docutils literal notranslate"><span class="pre">errorbar()</span></code></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>Transform subclassing behaviour is now subtly changed. If your transform
implements a non-affine transformation, then it should override the
<code class="docutils literal notranslate"><span class="pre">transform_non_affine</span></code> method, rather than the generic <code class="docutils literal notranslate"><span class="pre">transform</span></code> method.
Previously transforms would define <code class="docutils literal notranslate"><span class="pre">transform</span></code> and then copy the
method into <code class="docutils literal notranslate"><span class="pre">transform_non_affine</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </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="w"> </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-default notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </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="w"> </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>Artists no longer have <code class="docutils literal notranslate"><span class="pre">x_isdata</span></code> or <code class="docutils literal notranslate"><span class="pre">y_isdata</span></code> attributes; instead
any artist's transform can be interrogated with
<code class="docutils literal notranslate"><span class="pre">artist_instance.get_transform().contains_branch(ax.transData)</span></code></p></li>
<li><p>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-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
<span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.transforms</span><span class="w"> </span><span class="k">as</span><span class="w"> </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="nb">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>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-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </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="nb">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="nb">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 <code class="docutils literal notranslate"><span class="pre">ax.transData</span> <span class="pre">+</span> <span class="pre">ax.transAxes.inverted()</span></code> (depth is a new concept,
but had it existed it would return 4 for this example).</p>
</li>
<li><p><code class="docutils literal notranslate"><span class="pre">twinx</span></code> and <code class="docutils literal notranslate"><span class="pre">twiny</span></code> now returns an instance of SubplotBase if
parent axes is an instance of SubplotBase.</p></li>
<li><p>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><code class="docutils literal notranslate"><span class="pre">matplotlib.colors.ColorConverter</span></code>,
<a class="reference internal" href="../_as_gen/matplotlib.colors.Colormap.html#matplotlib.colors.Colormap" title="matplotlib.colors.Colormap"><code class="xref py py-class docutils literal notranslate"><span class="pre">Colormap</span></code></a> and
<a class="reference internal" href="../_as_gen/matplotlib.colors.Normalize.html#matplotlib.colors.Normalize" title="matplotlib.colors.Normalize"><code class="xref py py-class docutils literal notranslate"><span class="pre">Normalize</span></code></a> now subclasses <code class="docutils literal notranslate"><span class="pre">object</span></code></p></li>
<li><p>ContourSet instances no longer have a <code class="docutils literal notranslate"><span class="pre">transform</span></code> attribute. Instead,
access the transform with the <code class="docutils literal notranslate"><span class="pre">get_transform</span></code> method.</p></li>
</ul>
</section>
</article>
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