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<ul>
<li><a class="reference internal" href="#">Changes to the default style</a><ul>
<li><a class="reference internal" href="#colors-color-cycles-and-color-maps">Colors, color cycles, and color maps</a><ul>
<li><a class="reference internal" href="#colors-in-default-property-cycle">Colors in default property cycle</a></li>
<li><a class="reference internal" href="#colormap">Colormap</a></li>
<li><a class="reference internal" href="#interactive-figures">Interactive figures</a></li>
<li><a class="reference internal" href="#grid-lines">Grid lines</a></li>
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<li><a class="reference internal" href="#figure-size-font-size-and-screen-dpi">Figure size, font size, and screen dpi</a></li>
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<li><a class="reference internal" href="#scatter"><code class="docutils literal"><span class="pre">scatter</span></code></a></li>
<li><a class="reference internal" href="#plot"><code class="docutils literal"><span class="pre">plot</span></code></a></li>
<li><a class="reference internal" href="#errorbar"><code class="docutils literal"><span class="pre">errorbar</span></code></a></li>
<li><a class="reference internal" href="#boxplot"><code class="docutils literal"><span class="pre">boxplot</span></code></a></li>
<li><a class="reference internal" href="#fill-between-and-fill-betweenx"><code class="docutils literal"><span class="pre">fill_between</span></code> and <code class="docutils literal"><span class="pre">fill_betweenx</span></code></a></li>
<li><a class="reference internal" href="#patch-edges-and-color">Patch edges and color</a></li>
<li><a class="reference internal" href="#bar-and-barh"><code class="docutils literal"><span class="pre">bar</span></code> and <code class="docutils literal"><span class="pre">barh</span></code></a></li>
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<li><a class="reference internal" href="#ticks">Ticks</a><ul>
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<div class="section" id="changes-to-the-default-style">
<h1>Changes to the default style<a class="headerlink" href="#changes-to-the-default-style" title="Permalink to this headline">¶</a></h1>
<p>The most important changes in matplotlib 2.0 are the changes to the
default style.</p>
<p>While it is impossible to select the best default for all cases, these
are designed to work well in the most common cases.</p>
<p>A ‘classic’ style sheet is provided so reverting to the 1.x default
values is a single line of python</p>
<div class="code highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">'classic'</span><span class="p">)</span>
</pre></div>
</div>
<p>See <a class="reference internal" href="customizing.html#customizing-with-matplotlibrc-files"><span class="std std-ref">The matplotlibrc file</span></a> for details about how to
persistently and selectively revert many of these changes.</p>
<div class="contents local topic" id="table-of-contents">
<p class="topic-title first">Table of Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#colors-color-cycles-and-color-maps" id="id1">Colors, color cycles, and color maps</a><ul>
<li><a class="reference internal" href="#colors-in-default-property-cycle" id="id2">Colors in default property cycle</a></li>
<li><a class="reference internal" href="#colormap" id="id3">Colormap</a></li>
<li><a class="reference internal" href="#interactive-figures" id="id4">Interactive figures</a></li>
<li><a class="reference internal" href="#grid-lines" id="id5">Grid lines</a></li>
</ul>
</li>
<li><a class="reference internal" href="#figure-size-font-size-and-screen-dpi" id="id6">Figure size, font size, and screen dpi</a></li>
<li><a class="reference internal" href="#plotting-functions" id="id7">Plotting functions</a><ul>
<li><a class="reference internal" href="#scatter" id="id8"><code class="docutils literal"><span class="pre">scatter</span></code></a></li>
<li><a class="reference internal" href="#plot" id="id9"><code class="docutils literal"><span class="pre">plot</span></code></a></li>
<li><a class="reference internal" href="#errorbar" id="id10"><code class="docutils literal"><span class="pre">errorbar</span></code></a></li>
<li><a class="reference internal" href="#boxplot" id="id11"><code class="docutils literal"><span class="pre">boxplot</span></code></a></li>
<li><a class="reference internal" href="#fill-between-and-fill-betweenx" id="id12"><code class="docutils literal"><span class="pre">fill_between</span></code> and <code class="docutils literal"><span class="pre">fill_betweenx</span></code></a></li>
<li><a class="reference internal" href="#patch-edges-and-color" id="id13">Patch edges and color</a></li>
<li><a class="reference internal" href="#bar-and-barh" id="id14"><code class="docutils literal"><span class="pre">bar</span></code> and <code class="docutils literal"><span class="pre">barh</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#hatching" id="id15">Hatching</a></li>
<li><a class="reference internal" href="#fonts" id="id16">Fonts</a><ul>
<li><a class="reference internal" href="#normal-text" id="id17">Normal text</a></li>
<li><a class="reference internal" href="#math-text" id="id18">Math text</a></li>
</ul>
</li>
<li><a class="reference internal" href="#legends" id="id19">Legends</a></li>
<li><a class="reference internal" href="#image" id="id20">Image</a><ul>
<li><a class="reference internal" href="#interpolation" id="id21">Interpolation</a></li>
<li><a class="reference internal" href="#colormapping-pipeline" id="id22">Colormapping pipeline</a></li>
<li><a class="reference internal" href="#shading" id="id23">Shading</a></li>
</ul>
</li>
<li><a class="reference internal" href="#plot-layout" id="id24">Plot layout</a><ul>
<li><a class="reference internal" href="#auto-limits" id="id25">Auto limits</a></li>
<li><a class="reference internal" href="#z-order" id="id26">Z-order</a></li>
<li><a class="reference internal" href="#ticks" id="id27">Ticks</a></li>
<li><a class="reference internal" href="#tick-label-formatting" id="id28">Tick label formatting</a></li>
</ul>
</li>
<li><a class="reference internal" href="#mplot3d" id="id29">mplot3d</a></li>
</ul>
</div>
<div class="section" id="colors-color-cycles-and-color-maps">
<h2><a class="toc-backref" href="#id1">Colors, color cycles, and color maps</a><a class="headerlink" href="#colors-color-cycles-and-color-maps" title="Permalink to this headline">¶</a></h2>
<div class="section" id="colors-in-default-property-cycle">
<h3><a class="toc-backref" href="#id2">Colors in default property cycle</a><a class="headerlink" href="#colors-in-default-property-cycle" title="Permalink to this headline">¶</a></h3>
<p>The colors in the default property cycle have been changed from
<code class="docutils literal"><span class="pre">['b',</span> <span class="pre">'g',</span> <span class="pre">'r',</span> <span class="pre">'c',</span> <span class="pre">'m',</span> <span class="pre">'y',</span> <span class="pre">'k']</span></code> to the category10
color palette used by <a class="reference external" href="https://github.com/vega/vega/wiki/Scales#scale-range-literals">Vega</a> and
<a class="reference external" href="https://github.com/d3/d3-3.x-api-reference/blob/master/Ordinal-Scales.md#category10">d3</a>
originally developed at Tableau.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-1.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-1.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-1.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-1.png" src="../_images/dflt_style_changes-1.png" />
</div>
<p>In addition to changing the colors, an additional method to specify
colors was added. Previously, the default colors were the single
character short-hand notations for red, green, blue, cyan, magenta,
yellow, and black. This made them easy to type and usable in the
abbreviated style string in <code class="docutils literal"><span class="pre">plot</span></code>, however the new default colors
are only specified via hex values. To access these colors outside of
the property cycling the notation for colors <code class="docutils literal"><span class="pre">'CN'</span></code>, where <code class="docutils literal"><span class="pre">N</span></code>
takes values 0-9, was added to
denote the first 10 colors in <code class="docutils literal"><span class="pre">mpl.rcParams['axes.prop_cycle']</span></code> See
<a class="reference internal" href="colors.html#colors"><span class="std std-ref">Specifying Colors</span></a> for more details.</p>
<p>To restore the old color cycle use</p>
<div class="code highlight-default"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">cycler</span> <span class="k">import</span> <span class="n">cycler</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'axes.prop_cycle'</span><span class="p">]</span> <span class="o">=</span> <span class="n">cycler</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s1">'bgrcmyk'</span><span class="p">)</span>
</pre></div>
</div>
<p>or set</p>
<div class="code highlight-default"><div class="highlight"><pre><span></span><span class="n">axes</span><span class="o">.</span><span class="n">prop_cycle</span> <span class="p">:</span> <span class="n">cycler</span><span class="p">(</span><span class="s1">'color'</span><span class="p">,</span> <span class="s1">'bgrcmyk'</span><span class="p">)</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="colormap">
<h3><a class="toc-backref" href="#id3">Colormap</a><a class="headerlink" href="#colormap" title="Permalink to this headline">¶</a></h3>
<dl class="docutils">
<dt>The new default color map used by <a class="reference internal" href="../api/cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-obj docutils literal"><span class="pre">matplotlib.cm.ScalarMappable</span></code></a> instances is</dt>
<dd><code class="xref py py-obj docutils literal"><span class="pre">'viridis'</span></code> (aka <a class="reference external" href="https://bids.github.io/colormap/">option D</a>).</dd>
</dl>
<p>(<a class="reference external" href="../users/dflt_style_changes-2.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-2.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-2.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-2.png" src="../_images/dflt_style_changes-2.png" />
</div>
<p>For an introduction to color theory and how ‘viridis’ was generated
watch Nathaniel Smith and Stéfan van der Walt’s talk from SciPy2015.
See <a class="reference external" href="https://bids.github.io/colormap/">here for many more details</a>
about the other alternatives and the tools used to create the color
map. For details on all of the color maps available in matplotlib see
<a class="reference internal" href="colormaps.html#colormaps"><span class="std std-ref">Choosing Colormaps</span></a>.</p>
<iframe width="560" height="315" src="https://www.youtube.com/embed/xAoljeRJ3lU" frameborder="0" allowfullscreen></iframe><p>The previous default can be restored using</p>
<div class="code highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'image.cmap'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'jet'</span>
</pre></div>
</div>
<p>or setting</p>
<div class="code highlight-default"><div class="highlight"><pre><span></span><span class="n">image</span><span class="o">.</span><span class="n">cmap</span> <span class="p">:</span> <span class="s1">'jet'</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file; however this is strongly discouraged.</p>
</div>
<div class="section" id="interactive-figures">
<h3><a class="toc-backref" href="#id4">Interactive figures</a><a class="headerlink" href="#interactive-figures" title="Permalink to this headline">¶</a></h3>
<p>The default interactive figure background color has changed from grey
to white, which matches the default background color used when saving.</p>
<p>The previous defaults can be restored by</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'figure.facecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'0.75'</span>
</pre></div>
</div>
<p>or by setting</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">figure</span><span class="o">.</span><span class="n">facecolor</span> <span class="p">:</span> <span class="s1">'0.75'</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="grid-lines">
<h3><a class="toc-backref" href="#id5">Grid lines</a><a class="headerlink" href="#grid-lines" title="Permalink to this headline">¶</a></h3>
<p>The default style of grid lines was changed from black dashed lines to thicker
solid light grey lines.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-3.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-3.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-3.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-3.png" src="../_images/dflt_style_changes-3.png" />
</div>
<p>The previous default can be restored by using:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'grid.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'k'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'grid.linestyle'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">':'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'grid.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.5</span>
</pre></div>
</div>
<p>or by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">grid</span><span class="o">.</span><span class="n">color</span> <span class="p">:</span> <span class="n">k</span> <span class="c1"># grid color</span>
<span class="n">grid</span><span class="o">.</span><span class="n">linestyle</span> <span class="p">:</span> <span class="p">:</span> <span class="c1"># dotted</span>
<span class="n">grid</span><span class="o">.</span><span class="n">linewidth</span> <span class="p">:</span> <span class="mf">0.5</span> <span class="c1"># in points</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
</div>
<div class="section" id="figure-size-font-size-and-screen-dpi">
<h2><a class="toc-backref" href="#id6">Figure size, font size, and screen dpi</a><a class="headerlink" href="#figure-size-font-size-and-screen-dpi" title="Permalink to this headline">¶</a></h2>
<p>The default dpi used for on-screen display was changed from 80 dpi to
100 dpi, the same as the default dpi for saving files. Due to this
change, the on-screen display is now more what-you-see-is-what-you-get
for saved files. To keep the figure the same size in terms of pixels, in
order to maintain approximately the same size on the screen, the
default figure size was reduced from 8x6 inches to 6.4x4.8 inches. As
a consequence of this the default font sizes used for the title, tick
labels, and axes labels were reduced to maintain their size relative
to the overall size of the figure. By default the dpi of the saved
image is now the dpi of the <a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-obj docutils literal"><span class="pre">Figure</span></code></a> instance being
saved.</p>
<p>This will have consequences if you are trying to match text in a
figure directly with external text.</p>
<p>The previous defaults can be restored by</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'figure.figsize'</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mf">8.0</span><span class="p">,</span> <span class="mf">6.0</span><span class="p">]</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'figure.dpi'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">80</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'savefig.dpi'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">100</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'font.size'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">12</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.fontsize'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'large'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'figure.titlesize'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'medium'</span>
</pre></div>
</div>
<p>or by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">figure</span><span class="o">.</span><span class="n">figsize</span> <span class="p">:</span> <span class="p">[</span><span class="mf">8.0</span><span class="p">,</span> <span class="mf">6.0</span><span class="p">]</span>
<span class="n">figure</span><span class="o">.</span><span class="n">dpi</span> <span class="p">:</span> <span class="mi">80</span>
<span class="n">savefig</span><span class="o">.</span><span class="n">dpi</span> <span class="p">:</span> <span class="mi">100</span>
<span class="n">font</span><span class="o">.</span><span class="n">size</span> <span class="p">:</span> <span class="mf">12.0</span>
<span class="n">legend</span><span class="o">.</span><span class="n">fontsize</span> <span class="p">:</span> <span class="s1">'large'</span>
<span class="n">figure</span><span class="o">.</span><span class="n">titlesize</span> <span class="p">:</span> <span class="s1">'medium'</span>
</pre></div>
</div>
<p>In your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
<p>In addition, the <code class="docutils literal"><span class="pre">forward</span></code> kwarg to
<code class="xref py py-obj docutils literal"><span class="pre">set_size_inches</span></code> now defaults to <code class="xref py py-obj docutils literal"><span class="pre">True</span></code> to improve
the interactive experience. Backend canvases that adjust the size of
their bound <a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-obj docutils literal"><span class="pre">matplotlib.figure.Figure</span></code></a> must pass <code class="docutils literal"><span class="pre">forward=False</span></code> to
avoid circular behavior. This default is not configurable.</p>
</div>
<div class="section" id="plotting-functions">
<h2><a class="toc-backref" href="#id7">Plotting functions</a><a class="headerlink" href="#plotting-functions" title="Permalink to this headline">¶</a></h2>
<div class="section" id="scatter">
<h3><a class="toc-backref" href="#id8"><code class="docutils literal"><span class="pre">scatter</span></code></a><a class="headerlink" href="#scatter" title="Permalink to this headline">¶</a></h3>
<p>The following changes were made to the default behavior of
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.scatter.html#matplotlib.axes.Axes.scatter" title="matplotlib.axes.Axes.scatter"><code class="xref py py-obj docutils literal"><span class="pre">scatter</span></code></a></p>
<blockquote>
<div><ul class="simple">
<li>The default size of the elements in a scatter plot is now based on
the rcParam <code class="docutils literal"><span class="pre">lines.markersize</span></code> so it is consistent with <code class="docutils literal"><span class="pre">plot(X,</span>
<span class="pre">Y,</span> <span class="pre">'o')</span></code>. The old value was 20, and the new value is 36 (6^2).</li>
<li>scatter markers no longer have a black edge.</li>
<li>if the color of the markers is not specified it will follow the
property cycle, pulling from the ‘patches’ cycle on the <code class="docutils literal"><span class="pre">Axes</span></code>.</li>
</ul>
</div></blockquote>
<p>(<a class="reference external" href="../users/dflt_style_changes-4.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-4.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-4.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-4.png" src="../_images/dflt_style_changes-4.png" />
</div>
<p>The classic default behavior of <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.scatter.html#matplotlib.axes.Axes.scatter" title="matplotlib.axes.Axes.scatter"><code class="xref py py-obj docutils literal"><span class="pre">scatter</span></code></a> can
only be recovered through <code class="docutils literal"><span class="pre">mpl.style.use('classic')</span></code>. The marker size
can be recovered via</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParam</span><span class="p">[</span><span class="s1">'lines.markersize'</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">20</span><span class="p">)</span>
</pre></div>
</div>
<p>however, this will also affect the default marker size of
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-obj docutils literal"><span class="pre">plot</span></code></a>. To recover the classic behavior on
a per-call basis pass the following kwargs:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">classic_kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'s'</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span> <span class="s1">'edgecolors'</span><span class="p">:</span> <span class="s1">'k'</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">:</span> <span class="s1">'b'</span><span class="p">}</span>
</pre></div>
</div>
</div>
<div class="section" id="plot">
<h3><a class="toc-backref" href="#id9"><code class="docutils literal"><span class="pre">plot</span></code></a><a class="headerlink" href="#plot" title="Permalink to this headline">¶</a></h3>
<p>The following changes were made to the default behavior of
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-obj docutils literal"><span class="pre">plot</span></code></a></p>
<blockquote>
<div><ul class="simple">
<li>the default linewidth increased from 1 to 1.5</li>
<li>the dash patterns associated with <code class="docutils literal"><span class="pre">'--'</span></code>, <code class="docutils literal"><span class="pre">':'</span></code>, and <code class="docutils literal"><span class="pre">'-.'</span></code> have
changed</li>
<li>the dash patterns now scale with line width</li>
</ul>
</div></blockquote>
<p>(<a class="reference external" href="../users/dflt_style_changes-5.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-5.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-5.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-5.png" src="../_images/dflt_style_changes-5.png" />
</div>
<p>The previous defaults can be restored by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.dashed_pattern'</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">]</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.dashdot_pattern'</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.dotted_pattern'</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.scale_dashes'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
</pre></div>
</div>
<p>or by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">lines</span><span class="o">.</span><span class="n">linewidth</span> <span class="p">:</span> <span class="mf">1.0</span>
<span class="n">lines</span><span class="o">.</span><span class="n">dashed_pattern</span> <span class="p">:</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">6</span>
<span class="n">lines</span><span class="o">.</span><span class="n">dashdot_pattern</span> <span class="p">:</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">5</span>
<span class="n">lines</span><span class="o">.</span><span class="n">dotted_pattern</span> <span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span>
<span class="n">lines</span><span class="o">.</span><span class="n">scale_dashes</span><span class="p">:</span> <span class="kc">False</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="errorbar">
<h3><a class="toc-backref" href="#id10"><code class="docutils literal"><span class="pre">errorbar</span></code></a><a class="headerlink" href="#errorbar" title="Permalink to this headline">¶</a></h3>
<p>By default, caps on the ends of errorbars are not present.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-6.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-6.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-6.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-6.png" src="../_images/dflt_style_changes-6.png" />
</div>
<p>This also changes the return value of
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.errorbar.html#matplotlib.axes.Axes.errorbar" title="matplotlib.axes.Axes.errorbar"><code class="xref py py-meth docutils literal"><span class="pre">errorbar()</span></code></a> as the list of ‘caplines’ will
be empty by default.</p>
<p>The previous defaults can be restored by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'errorbar.capsize'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">3</span>
</pre></div>
</div>
<p>or by setting</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">errorbar</span><span class="o">.</span><span class="n">capsize</span> <span class="p">:</span> <span class="mi">3</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="boxplot">
<h3><a class="toc-backref" href="#id11"><code class="docutils literal"><span class="pre">boxplot</span></code></a><a class="headerlink" href="#boxplot" title="Permalink to this headline">¶</a></h3>
<p>Previously, boxplots were composed of a mish-mash of styles that were, for
better for worse, inherited from Matlab. Most of the elements were blue,
but the medians were red. The fliers (outliers) were black plus-symbols
(<code class="xref py py-obj docutils literal"><span class="pre">+</span></code>) and the whiskers were dashed lines, which created ambiguity if
the (solid and black) caps were not drawn.</p>
<p>For the new defaults, everything is black except for the median and mean
lines (if drawn), which are set to the first two elements of the current
color cycle. Also, the default flier markers are now hollow circles,
which maintain the ability of the plus-symbols to overlap without
obscuring data too much.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-7.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-7.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-7.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-7.png" src="../_images/dflt_style_changes-7.png" />
</div>
<p>The previous defaults can be restored by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.flierprops.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'k'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.flierprops.marker'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'+'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.flierprops.markerfacecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'none'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.flierprops.markeredgecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'k'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.boxprops.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'b'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.whiskerprops.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'b'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.whiskerprops.linestyle'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'--'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.medianprops.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'r'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'r'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.marker'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'^'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.markerfacecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'r'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.markeredgecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'k'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.markersize'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">6</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.linestyle'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'--'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'boxplot.meanprops.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span>
</pre></div>
</div>
<p>or by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">boxplot</span><span class="o">.</span><span class="n">flierprops</span><span class="o">.</span><span class="n">color</span><span class="p">:</span> <span class="s1">'k'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">flierprops</span><span class="o">.</span><span class="n">marker</span><span class="p">:</span> <span class="s1">'+'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">flierprops</span><span class="o">.</span><span class="n">markerfacecolor</span><span class="p">:</span> <span class="s1">'none'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">flierprops</span><span class="o">.</span><span class="n">markeredgecolor</span><span class="p">:</span> <span class="s1">'k'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">boxprops</span><span class="o">.</span><span class="n">color</span><span class="p">:</span> <span class="s1">'b'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">whiskerprops</span><span class="o">.</span><span class="n">color</span><span class="p">:</span> <span class="s1">'b'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">whiskerprops</span><span class="o">.</span><span class="n">linestyle</span><span class="p">:</span> <span class="s1">'--'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">medianprops</span><span class="o">.</span><span class="n">color</span><span class="p">:</span> <span class="s1">'r'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">color</span><span class="p">:</span> <span class="s1">'r'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">marker</span><span class="p">:</span> <span class="s1">'^'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">markerfacecolor</span><span class="p">:</span> <span class="s1">'r'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">markeredgecolor</span><span class="p">:</span> <span class="s1">'k'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">markersize</span><span class="p">:</span> <span class="mi">6</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">linestyle</span><span class="p">:</span> <span class="s1">'--'</span>
<span class="n">boxplot</span><span class="o">.</span><span class="n">meanprops</span><span class="o">.</span><span class="n">linewidth</span><span class="p">:</span> <span class="mf">1.0</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="fill-between-and-fill-betweenx">
<h3><a class="toc-backref" href="#id12"><code class="docutils literal"><span class="pre">fill_between</span></code> and <code class="docutils literal"><span class="pre">fill_betweenx</span></code></a><a class="headerlink" href="#fill-between-and-fill-betweenx" title="Permalink to this headline">¶</a></h3>
<p><a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.fill_between.html#matplotlib.axes.Axes.fill_between" title="matplotlib.axes.Axes.fill_between"><code class="xref py py-obj docutils literal"><span class="pre">fill_between</span></code></a> and
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.fill_betweenx.html#matplotlib.axes.Axes.fill_betweenx" title="matplotlib.axes.Axes.fill_betweenx"><code class="xref py py-obj docutils literal"><span class="pre">fill_betweenx</span></code></a> both follow the patch color
cycle.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-8.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-8.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-8.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-8.png" src="../_images/dflt_style_changes-8.png" />
</div>
<p>If the facecolor is set via the <code class="docutils literal"><span class="pre">facecolors</span></code> or <code class="docutils literal"><span class="pre">color</span></code> keyword argument,
then the color is not cycled.</p>
<p>To restore the previous behavior, explicitly pass the keyword argument
<code class="docutils literal"><span class="pre">facecolors='C0'</span></code> to the method call.</p>
</div>
<div class="section" id="patch-edges-and-color">
<h3><a class="toc-backref" href="#id13">Patch edges and color</a><a class="headerlink" href="#patch-edges-and-color" title="Permalink to this headline">¶</a></h3>
<p>Most artists drawn with a patch (<code class="docutils literal"><span class="pre">~matplotlib.axes.Axes.bar</span></code>,
<code class="docutils literal"><span class="pre">~matplotlib.axes.Axes.pie</span></code>, etc) no longer have a black edge by
default. The default face color is now <code class="docutils literal"><span class="pre">'C0'</span></code> instead of <code class="docutils literal"><span class="pre">'b'</span></code>.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-9.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-9.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-9.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-9.png" src="../_images/dflt_style_changes-9.png" />
</div>
<p>The previous defaults can be restored by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'patch.force_edgecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'patch.facecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'b'</span>
</pre></div>
</div>
<p>or by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">patch</span><span class="o">.</span><span class="n">facecolor</span> <span class="p">:</span> <span class="n">b</span>
<span class="n">patch</span><span class="o">.</span><span class="n">force_edgecolor</span> <span class="p">:</span> <span class="kc">True</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="bar-and-barh">
<h3><a class="toc-backref" href="#id14"><code class="docutils literal"><span class="pre">bar</span></code> and <code class="docutils literal"><span class="pre">barh</span></code></a><a class="headerlink" href="#bar-and-barh" title="Permalink to this headline">¶</a></h3>
<p>The default value of the <code class="docutils literal"><span class="pre">align</span></code> kwarg for both
<code class="xref py py-obj docutils literal"><span class="pre">bar</span></code> and <code class="xref py py-obj docutils literal"><span class="pre">barh</span></code> is changed from
<code class="docutils literal"><span class="pre">'edge'</span></code> to <code class="docutils literal"><span class="pre">'center'</span></code>.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-10.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-10.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-10.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-10.png" src="../_images/dflt_style_changes-10.png" />
</div>
<p>To restore the previous behavior explicitly pass the keyword argument
<code class="docutils literal"><span class="pre">align='edge'</span></code> to the method call.</p>
</div>
</div>
<div class="section" id="hatching">
<h2><a class="toc-backref" href="#id15">Hatching</a><a class="headerlink" href="#hatching" title="Permalink to this headline">¶</a></h2>
<p>The color of the lines in the hatch is now determined by</p>
<blockquote>
<div><ul class="simple">
<li>If an edge color is explicitly set, use that for the hatch color</li>
<li>If the edge color is not explicitly set, use <code class="docutils literal"><span class="pre">rcParam['hatch.color']</span></code> which
is looked up at artist creation time.</li>
</ul>
</div></blockquote>
<p>The width of the lines in a hatch pattern is now configurable by the
rcParams <code class="xref py py-obj docutils literal"><span class="pre">hatch.linewidth</span></code>, which defaults to 1 point. The old
behavior for the line width was different depending on backend:</p>
<blockquote>
<div><ul class="simple">
<li>PDF: 0.1 pt</li>
<li>SVG: 1.0 pt</li>
<li>PS: 1 px</li>
<li>Agg: 1 px</li>
</ul>
</div></blockquote>
<p>The old line width behavior can not be restored across all backends
simultaneously, but can be restored for a single backend by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'hatch.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.1</span> <span class="c1"># previous pdf hatch linewidth</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'hatch.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="c1"># previous svg hatch linewidth</span>
</pre></div>
</div>
<p>The behavior of the PS and Agg backends was DPI dependent, thus:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'figure.dpi'</span><span class="p">]</span> <span class="o">=</span> <span class="n">dpi</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'savefig.dpi'</span><span class="p">]</span> <span class="o">=</span> <span class="n">dpi</span> <span class="c1"># or leave as default 'figure'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'hatch.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">dpi</span> <span class="c1"># previous ps and Agg hatch linewidth</span>
</pre></div>
</div>
<p>There is no direct API level control of the hatch color or linewidth.</p>
<p>Hatching patterns are now rendered at a consistent density, regardless of DPI.
Formerly, high DPI figures would be more dense than the default, and low DPI
figures would be less dense. This old behavior cannot be directly restored,
but the density may be increased by repeating the hatch specifier.</p>
</div>
<div class="section" id="fonts">
<span id="default-changes-font"></span><h2><a class="toc-backref" href="#id16">Fonts</a><a class="headerlink" href="#fonts" title="Permalink to this headline">¶</a></h2>
<div class="section" id="normal-text">
<h3><a class="toc-backref" href="#id17">Normal text</a><a class="headerlink" href="#normal-text" title="Permalink to this headline">¶</a></h3>
<p>The default font has changed from “Bitstream Vera Sans” to “DejaVu
Sans”. DejaVu Sans has additional international and math characters,
but otherwise has the same appearance as Bitstream Vera Sans.
Latin, Greek, Cyrillic, Armenian, Georgian, Hebrew, and Arabic are
<a class="reference external" href="http://dejavu-fonts.org/wiki/Main_Page">all supported</a>
(but right-to-left rendering is still not handled by matplotlib).
In addition, DejaVu contains a sub-set of emoji symbols.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-11.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-11.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-11.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-11.png" src="../_images/dflt_style_changes-11.png" />
</div>
<p>See the <a class="reference external" href="http://dejavu.sourceforge.net/samples/DejaVuSans.pdf">DejaVu Sans PDF sample for full coverage</a>.</p>
</div>
<div class="section" id="math-text">
<h3><a class="toc-backref" href="#id18">Math text</a><a class="headerlink" href="#math-text" title="Permalink to this headline">¶</a></h3>
<p>The default math font when using the built-in math rendering engine
(mathtext) has changed from “Computer Modern” (i.e. LaTeX-like) to
“DejaVu Sans”. This change has no effect if the
TeX backend is used (i.e. <code class="docutils literal"><span class="pre">text.usetex</span></code> is <code class="docutils literal"><span class="pre">True</span></code>).</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-12.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-12.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-12.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-12.png" src="../_images/dflt_style_changes-12.png" />
</div>
<p>(<a class="reference external" href="../users/dflt_style_changes-13.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-13.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-13.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-13.png" src="../_images/dflt_style_changes-13.png" />
</div>
<p>To revert to the old behavior set the:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'mathtext.fontset'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'cm'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'mathtext.rm'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'serif'</span>
</pre></div>
</div>
<p>or set:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mathtext</span><span class="o">.</span><span class="n">fontset</span><span class="p">:</span> <span class="n">cm</span>
<span class="n">mathtext</span><span class="o">.</span><span class="n">rm</span> <span class="p">:</span> <span class="n">serif</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
<p>This <code class="docutils literal"><span class="pre">rcParam</span></code> is consulted when the text is drawn, not when the
artist is created. Thus all mathtext on a given <code class="docutils literal"><span class="pre">canvas</span></code> will use the
same fontset.</p>
</div>
</div>
<div class="section" id="legends">
<h2><a class="toc-backref" href="#id19">Legends</a><a class="headerlink" href="#legends" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>By default, the number of points displayed in a legend is now 1.</li>
<li>The default legend location is <code class="docutils literal"><span class="pre">'best'</span></code>, so the legend will be
automatically placed in a location to minimize overlap with data.</li>
<li>The legend defaults now include rounded corners, a lighter
boundary, and partially transparent boundary and background.</li>
</ul>
<p>(<a class="reference external" href="../users/dflt_style_changes-14.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-14.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-14.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-14.png" src="../_images/dflt_style_changes-14.png" />
</div>
<p>The previous defaults can be restored by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.fancybox'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.loc'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'upper right'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.numpoints'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.fontsize'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'large'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.framealpha'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.scatterpoints'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'legend.edgecolor'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'inherit'</span>
</pre></div>
</div>
<p>or by setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">legend</span><span class="o">.</span><span class="n">fancybox</span> <span class="p">:</span> <span class="kc">False</span>
<span class="n">legend</span><span class="o">.</span><span class="n">loc</span> <span class="p">:</span> <span class="n">upper</span> <span class="n">right</span>
<span class="n">legend</span><span class="o">.</span><span class="n">numpoints</span> <span class="p">:</span> <span class="mi">2</span> <span class="c1"># the number of points in the legend line</span>
<span class="n">legend</span><span class="o">.</span><span class="n">fontsize</span> <span class="p">:</span> <span class="n">large</span>
<span class="n">legend</span><span class="o">.</span><span class="n">framealpha</span> <span class="p">:</span> <span class="kc">None</span> <span class="c1"># opacity of legend frame</span>
<span class="n">legend</span><span class="o">.</span><span class="n">scatterpoints</span> <span class="p">:</span> <span class="mi">3</span> <span class="c1"># number of scatter points</span>
<span class="n">legend</span><span class="o">.</span><span class="n">edgecolor</span> <span class="p">:</span> <span class="n">inherit</span> <span class="c1"># legend edge color ('inherit'</span>
<span class="c1"># means it uses axes.edgecolor)</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="image">
<h2><a class="toc-backref" href="#id20">Image</a><a class="headerlink" href="#image" title="Permalink to this headline">¶</a></h2>
<div class="section" id="interpolation">
<h3><a class="toc-backref" href="#id21">Interpolation</a><a class="headerlink" href="#interpolation" title="Permalink to this headline">¶</a></h3>
<p>The default interpolation method for <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.imshow.html#matplotlib.axes.Axes.imshow" title="matplotlib.axes.Axes.imshow"><code class="xref py py-obj docutils literal"><span class="pre">imshow</span></code></a> is
now <code class="docutils literal"><span class="pre">'nearest'</span></code> and by default it resamples the data (both up and down
sampling) before color mapping.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-15.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-15.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-15.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-15.png" src="../_images/dflt_style_changes-15.png" />
</div>
<p>To restore the previous behavior set:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'image.interpolation'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'bilinear'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'image.resample'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
</pre></div>
</div>
<p>or set:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">image</span><span class="o">.</span><span class="n">interpolation</span> <span class="p">:</span> <span class="n">bilinear</span> <span class="c1"># see help(imshow) for options</span>
<span class="n">image</span><span class="o">.</span><span class="n">resample</span> <span class="p">:</span> <span class="kc">False</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="colormapping-pipeline">
<h3><a class="toc-backref" href="#id22">Colormapping pipeline</a><a class="headerlink" href="#colormapping-pipeline" title="Permalink to this headline">¶</a></h3>
<p>Previously, the input data was normalized, then color mapped, and then
resampled to the resolution required for the screen. This meant that
the final resampling was being done in color space. Because the color
maps are not generally linear in RGB space, colors not in the color map
may appear in the final image. This bug was addressed by an almost
complete overhaul of the image handling code.</p>
<p>The input data is now normalized, then resampled to the correct
resolution (in normalized dataspace), and then color mapped to
RGB space. This ensures that only colors from the color map appear
in the final image. (If your viewer subsequently resamples the image,
the artifact may reappear.)</p>
<p>The previous behavior cannot be restored.</p>
</div>
<div class="section" id="shading">
<h3><a class="toc-backref" href="#id23">Shading</a><a class="headerlink" href="#shading" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>The default shading mode for light source shading, in
<code class="docutils literal"><span class="pre">matplotlib.colors.LightSource.shade</span></code>, is now <code class="docutils literal"><span class="pre">overlay</span></code>.
Formerly, it was <code class="docutils literal"><span class="pre">hsv</span></code>.</li>
</ul>
</div>
</div>
<div class="section" id="plot-layout">
<h2><a class="toc-backref" href="#id24">Plot layout</a><a class="headerlink" href="#plot-layout" title="Permalink to this headline">¶</a></h2>
<div class="section" id="auto-limits">
<h3><a class="toc-backref" href="#id25">Auto limits</a><a class="headerlink" href="#auto-limits" title="Permalink to this headline">¶</a></h3>
<p>The previous auto-scaling behavior was to find ‘nice’ round numbers
as view limits that enclosed the data limits, but this could produce
bad plots if the data happened to fall on a vertical or
horizontal line near the chosen ‘round number’ limit. The new default
sets the view limits to 5% wider than the data range.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-16.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-16.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-16.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-16.png" src="../_images/dflt_style_changes-16.png" />
</div>
<p>The size of the padding in the x and y directions is controlled by the
<code class="docutils literal"><span class="pre">'axes.xmargin'</span></code> and <code class="docutils literal"><span class="pre">'axes.ymargin'</span></code> rcParams respectively. Whether
the view limits should be ‘round numbers’ is controlled by the
<code class="docutils literal"><span class="pre">'axes.autolimit_mode'</span></code> rcParam. In the original <code class="docutils literal"><span class="pre">'round_number'</span></code> mode,
the view limits coincide with ticks.</p>
<p>The previous default can be restored by using:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'axes.autolimit_mode'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'round_numbers'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'axes.xmargin'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'axes.ymargin'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
</pre></div>
</div>
<p>or setting:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">axes</span><span class="o">.</span><span class="n">autolimit_mode</span><span class="p">:</span> <span class="n">round_numbers</span>
<span class="n">axes</span><span class="o">.</span><span class="n">xmargin</span><span class="p">:</span> <span class="mi">0</span>
<span class="n">axes</span><span class="o">.</span><span class="n">ymargin</span><span class="p">:</span> <span class="mi">0</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="z-order">
<h3><a class="toc-backref" href="#id26">Z-order</a><a class="headerlink" href="#z-order" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>Ticks and grids are now plotted above solid elements such as
filled contours, but below lines. To return to the previous
behavior of plotting ticks and grids above lines, set
<code class="docutils literal"><span class="pre">rcParams['axes.axisbelow']</span> <span class="pre">=</span> <span class="pre">False</span></code>.</li>
</ul>
</div>
<div class="section" id="ticks">
<h3><a class="toc-backref" href="#id27">Ticks</a><a class="headerlink" href="#ticks" title="Permalink to this headline">¶</a></h3>
<div class="section" id="direction">
<h4>Direction<a class="headerlink" href="#direction" title="Permalink to this headline">¶</a></h4>
<p>To reduce the collision of tick marks with data, the default ticks now
point outward by default. In addition, ticks are now drawn only on
the bottom and left spines to prevent a porcupine appearance, and for
a cleaner separation between subplots.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-17.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-17.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-17.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-17.png" src="../_images/dflt_style_changes-17.png" />
</div>
<p>To restore the previous behavior set:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'xtick.direction'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'in'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'ytick.direction'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'in'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'xtick.top'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'ytick.right'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
</pre></div>
</div>
<p>or set:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">xtick</span><span class="o">.</span><span class="n">top</span><span class="p">:</span> <span class="kc">True</span>
<span class="n">xtick</span><span class="o">.</span><span class="n">direction</span><span class="p">:</span> <span class="ow">in</span>
<span class="n">ytick</span><span class="o">.</span><span class="n">right</span><span class="p">:</span> <span class="kc">True</span>
<span class="n">ytick</span><span class="o">.</span><span class="n">direction</span><span class="p">:</span> <span class="ow">in</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="number-of-ticks">
<h4>Number of ticks<a class="headerlink" href="#number-of-ticks" title="Permalink to this headline">¶</a></h4>
<p>The default <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.Locator" title="matplotlib.ticker.Locator"><code class="xref py py-obj docutils literal"><span class="pre">Locator</span></code></a> used for the x and y axis is
<a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.AutoLocator" title="matplotlib.ticker.AutoLocator"><code class="xref py py-obj docutils literal"><span class="pre">AutoLocator</span></code></a> which tries to find, up to some
maximum number, ‘nicely’ spaced ticks. The locator now includes
an algorithm to estimate the maximum number of ticks that will leave
room for the tick labels. By default it also ensures that there are at least
two ticks visible.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-18.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-18.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-18.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-18.png" src="../_images/dflt_style_changes-18.png" />
</div>
<p>There is no way, other than using <code class="docutils literal"><span class="pre">mpl.style.use('classic')</span></code>, to restore the
previous behavior as the default. On an axis-by-axis basis you may either
control the existing locator via:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">get_major_locator</span><span class="p">()</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">nbins</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">])</span>
</pre></div>
</div>
<p>or create a new <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-obj docutils literal"><span class="pre">MaxNLocator</span></code></a>:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">mticker</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_major_locator</span><span class="p">(</span><span class="n">mticker</span><span class="o">.</span><span class="n">MaxNLocator</span><span class="p">(</span><span class="n">nbins</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">])</span>
</pre></div>
</div>
<p>The algorithm used by <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.MaxNLocator" title="matplotlib.ticker.MaxNLocator"><code class="xref py py-obj docutils literal"><span class="pre">MaxNLocator</span></code></a> has been
improved, and this may change the choice of tick locations in some
cases. This also affects <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.AutoLocator" title="matplotlib.ticker.AutoLocator"><code class="xref py py-obj docutils literal"><span class="pre">AutoLocator</span></code></a>, which
uses <code class="docutils literal"><span class="pre">MaxNLocator</span></code> internally.</p>
<p>For a log-scaled axis the default locator is the
<a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.LogLocator" title="matplotlib.ticker.LogLocator"><code class="xref py py-obj docutils literal"><span class="pre">LogLocator</span></code></a>. Previously the maximum number
of ticks was set to 15, and could not be changed. Now there is a
<code class="xref py py-obj docutils literal"><span class="pre">numticks</span></code> kwarg for setting the maximum to any integer value,
to the string ‘auto’, or to its default value of None which is
equivalent to ‘auto’. With the ‘auto’ setting the maximum number
will be no larger than 9, and will be reduced depending on the
length of the axis in units of the tick font size. As in the
case of the AutoLocator, the heuristic algorithm reduces the
incidence of overlapping tick labels but does not prevent it.</p>
</div>
</div>
<div class="section" id="tick-label-formatting">
<h3><a class="toc-backref" href="#id28">Tick label formatting</a><a class="headerlink" href="#tick-label-formatting" title="Permalink to this headline">¶</a></h3>
<div class="section" id="logformatter-labeling-of-minor-ticks">
<h4><code class="docutils literal"><span class="pre">LogFormatter</span></code> labeling of minor ticks<a class="headerlink" href="#logformatter-labeling-of-minor-ticks" title="Permalink to this headline">¶</a></h4>
<p>Minor ticks on a log axis are now labeled when the axis view limits
span a range less than or equal to the interval between two major
ticks. See <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.LogFormatter" title="matplotlib.ticker.LogFormatter"><code class="xref py py-obj docutils literal"><span class="pre">LogFormatter</span></code></a> for details. The
minor tick labeling is turned off when using <code class="docutils literal"><span class="pre">mpl.style.use('classic')</span></code>,
but cannot be controlled independently via <code class="docutils literal"><span class="pre">rcParams</span></code>.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-19.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-19.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-19.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-19.png" src="../_images/dflt_style_changes-19.png" />
</div>
</div>
<div class="section" id="scalarformatter-tick-label-formatting-with-offsets">
<h4><code class="docutils literal"><span class="pre">ScalarFormatter</span></code> tick label formatting with offsets<a class="headerlink" href="#scalarformatter-tick-label-formatting-with-offsets" title="Permalink to this headline">¶</a></h4>
<p>With the default of <code class="docutils literal"><span class="pre">rcParams['axes.formatter.useoffset']</span> <span class="pre">=</span> <span class="pre">True</span></code>,
an offset will be used when it will save 4 or more digits. This can
be controlled with the new rcParam, <code class="docutils literal"><span class="pre">axes.formatter.offset_threshold</span></code>.
To restore the previous behavior of using an offset to save 2 or more
digits, use <code class="docutils literal"><span class="pre">rcParams['axes.formatter.offset_threshold']</span> <span class="pre">=</span> <span class="pre">2</span></code>.</p>
<p>(<a class="reference external" href="../users/dflt_style_changes-20.py">Source code</a>, <a class="reference external" href="../users/dflt_style_changes-20.png">png</a>, <a class="reference external" href="../users/dflt_style_changes-20.pdf">pdf</a>)</p>
<div class="figure">
<img alt="../_images/dflt_style_changes-20.png" src="../_images/dflt_style_changes-20.png" />
</div>
</div>
<div class="section" id="autodateformatter-format-strings">
<h4><code class="docutils literal"><span class="pre">AutoDateFormatter</span></code> format strings<a class="headerlink" href="#autodateformatter-format-strings" title="Permalink to this headline">¶</a></h4>
<p>The default date formats are now all based on ISO format, i.e., with
the slowest-moving value first. The date formatters are
configurable through the <code class="docutils literal"><span class="pre">date.autoformatter.*</span></code> rcParams.</p>
<table border="1" class="docutils">
<colgroup>
<col width="33%" />
<col width="33%" />
<col width="17%" />
<col width="17%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Threshold (tick interval >= than)</th>
<th class="head">rcParam</th>
<th class="head">classic</th>
<th class="head">v2.0</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>365 days</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.year'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%Y'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%Y'</span></code></td>
</tr>
<tr class="row-odd"><td>30 days</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.month'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%b</span> <span class="pre">%Y'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%Y-%m'</span></code></td>
</tr>
<tr class="row-even"><td>1 day</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.day'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%b</span> <span class="pre">%d</span> <span class="pre">%Y'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%Y-%m-%d'</span></code></td>
</tr>
<tr class="row-odd"><td>1 hour</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.hour'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M'</span></code></td>
</tr>
<tr class="row-even"><td>1 minute</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.minute'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S.%f'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S'</span></code></td>
</tr>
<tr class="row-odd"><td>1 second</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.second'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S.%f'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S'</span></code></td>
</tr>
<tr class="row-even"><td>1 microsecond</td>
<td><code class="docutils literal"><span class="pre">'date.autoformatter.microsecond'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S.%f'</span></code></td>
<td><code class="docutils literal"><span class="pre">'%H:%M:%S.%f'</span></code></td>
</tr>
</tbody>
</table>
<p>Python’s <code class="docutils literal"><span class="pre">%x</span></code> and <code class="docutils literal"><span class="pre">%X</span></code> date formats may be of particular interest
to format dates based on the current locale.</p>
<p>The previous default can be restored by:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.year'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%Y'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.month'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%b %Y'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.day'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%b </span><span class="si">%d</span><span class="s1"> %Y'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.hour'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%H:%M:%S'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.minute'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%H:%M:%S.</span><span class="si">%f</span><span class="s1">'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.second'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%H:%M:%S.</span><span class="si">%f</span><span class="s1">'</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'date.autoformatter.microsecond'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'%H:%M:%S.</span><span class="si">%f</span><span class="s1">'</span>
</pre></div>
</div>
<p>or setting</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">year</span> <span class="p">:</span> <span class="o">%</span><span class="n">Y</span>
<span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">month</span> <span class="p">:</span> <span class="o">%</span><span class="n">b</span> <span class="o">%</span><span class="n">Y</span>
<span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">day</span> <span class="p">:</span> <span class="o">%</span><span class="n">b</span> <span class="o">%</span><span class="n">d</span> <span class="o">%</span><span class="n">Y</span>
<span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">hour</span> <span class="p">:</span> <span class="o">%</span><span class="n">H</span><span class="p">:</span><span class="o">%</span><span class="n">M</span><span class="p">:</span><span class="o">%</span><span class="n">S</span>
<span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">minute</span> <span class="p">:</span> <span class="o">%</span><span class="n">H</span><span class="p">:</span><span class="o">%</span><span class="n">M</span><span class="p">:</span><span class="o">%</span><span class="n">S</span><span class="o">.%</span><span class="n">f</span>
<span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">second</span> <span class="p">:</span> <span class="o">%</span><span class="n">H</span><span class="p">:</span><span class="o">%</span><span class="n">M</span><span class="p">:</span><span class="o">%</span><span class="n">S</span><span class="o">.%</span><span class="n">f</span>
<span class="n">date</span><span class="o">.</span><span class="n">autoformatter</span><span class="o">.</span><span class="n">microsecond</span> <span class="p">:</span> <span class="o">%</span><span class="n">H</span><span class="p">:</span><span class="o">%</span><span class="n">M</span><span class="p">:</span><span class="o">%</span><span class="n">S</span><span class="o">.%</span><span class="n">f</span>
</pre></div>
</div>
<p>in your <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
</div>
</div>
<div class="section" id="mplot3d">
<h2><a class="toc-backref" href="#id29">mplot3d</a><a class="headerlink" href="#mplot3d" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>mplot3d now obeys some style-related rcParams, rather than using
hard-coded defaults. These include:<ul>
<li>xtick.major.width</li>
<li>ytick.major.width</li>
<li>xtick.color</li>
<li>ytick.color</li>
<li>axes.linewidth</li>
<li>axes.edgecolor</li>
<li>grid.color</li>
<li>grid.linewidth</li>
<li>grid.linestyle</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
</div>
</div>
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Last updated on May 10, 2017.
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