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<div>
<section id="plot-types">
<span id="id1"></span><h1>Plot types<a class="headerlink" href="#plot-types" title="Permalink to this headline">#</a></h1>
<p>Overview of many common plotting commands in Matplotlib.</p>
<p>Note that we have stripped all labels, but they are present by default.
See the <a class="reference external" href="../gallery/index.html">gallery</a> for many more examples and
the <a class="reference external" href="../tutorials/index.html">tutorials page</a> for longer examples.</p>
<div class="sphx-glr-thumbnails"></div><section id="basic">
<h2>Basic<a class="headerlink" href="#basic" title="Permalink to this headline">#</a></h2>
<p>Basic plot types, usually y versus x.</p>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.plot."><img alt="plot(x, y)" src="../_images/sphx_glr_plot_thumb.png" />
<p><a class="reference internal" href="basic/plot.html#sphx-glr-plot-types-basic-plot-py"><span class="std std-ref">plot(x, y)</span></a></p>
<div class="sphx-glr-thumbnail-title">plot(x, y)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.scatter."><img alt="scatter(x, y)" src="../_images/sphx_glr_scatter_plot_thumb.png" />
<p><a class="reference internal" href="basic/scatter_plot.html#sphx-glr-plot-types-basic-scatter-plot-py"><span class="std std-ref">scatter(x, y)</span></a></p>
<div class="sphx-glr-thumbnail-title">scatter(x, y)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.bar / ~matplotlib.axes.Axes.barh."><img alt="bar(x, height) / barh(y, width)" src="../_images/sphx_glr_bar_thumb.png" />
<p><a class="reference internal" href="basic/bar.html#sphx-glr-plot-types-basic-bar-py"><span class="std std-ref">bar(x, height) / barh(y, width)</span></a></p>
<div class="sphx-glr-thumbnail-title">bar(x, height) / barh(y, width)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.stem."><img alt="stem(x, y)" src="../_images/sphx_glr_stem_thumb.png" />
<p><a class="reference internal" href="basic/stem.html#sphx-glr-plot-types-basic-stem-py"><span class="std std-ref">stem(x, y)</span></a></p>
<div class="sphx-glr-thumbnail-title">stem(x, y)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.step."><img alt="step(x, y)" src="../_images/sphx_glr_step_thumb.png" />
<p><a class="reference internal" href="basic/step.html#sphx-glr-plot-types-basic-step-py"><span class="std std-ref">step(x, y)</span></a></p>
<div class="sphx-glr-thumbnail-title">step(x, y)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.fill_between."><img alt="fill_between(x, y1, y2)" src="../_images/sphx_glr_fill_between_thumb.png" />
<p><a class="reference internal" href="basic/fill_between.html#sphx-glr-plot-types-basic-fill-between-py"><span class="std std-ref">fill_between(x, y1, y2)</span></a></p>
<div class="sphx-glr-thumbnail-title">fill_between(x, y1, y2)</div>
</div></div></section>
<section id="plots-of-arrays-and-fields">
<h2>Plots of arrays and fields<a class="headerlink" href="#plots-of-arrays-and-fields" title="Permalink to this headline">#</a></h2>
<p>Plotting for arrays of data <code class="docutils literal notranslate"><span class="pre">Z(x,</span> <span class="pre">y)</span></code> and fields <code class="docutils literal notranslate"><span class="pre">U(x,</span> <span class="pre">y),</span> <span class="pre">V(x,</span> <span class="pre">y)</span></code>.</p>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.imshow."><img alt="imshow(Z)" src="../_images/sphx_glr_imshow_thumb.png" />
<p><a class="reference internal" href="arrays/imshow.html#sphx-glr-plot-types-arrays-imshow-py"><span class="std std-ref">imshow(Z)</span></a></p>
<div class="sphx-glr-thumbnail-title">imshow(Z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="~.axes.Axes.pcolormesh is more flexible than ~.axes.Axes.imshow in that the x and y vectors nee..."><img alt="pcolormesh(X, Y, Z)" src="../_images/sphx_glr_pcolormesh_thumb.png" />
<p><a class="reference internal" href="arrays/pcolormesh.html#sphx-glr-plot-types-arrays-pcolormesh-py"><span class="std std-ref">pcolormesh(X, Y, Z)</span></a></p>
<div class="sphx-glr-thumbnail-title">pcolormesh(X, Y, Z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.contour."><img alt="contour(X, Y, Z)" src="../_images/sphx_glr_contour_thumb.png" />
<p><a class="reference internal" href="arrays/contour.html#sphx-glr-plot-types-arrays-contour-py"><span class="std std-ref">contour(X, Y, Z)</span></a></p>
<div class="sphx-glr-thumbnail-title">contour(X, Y, Z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.contourf."><img alt="contourf(X, Y, Z)" src="../_images/sphx_glr_contourf_thumb.png" />
<p><a class="reference internal" href="arrays/contourf.html#sphx-glr-plot-types-arrays-contourf-py"><span class="std std-ref">contourf(X, Y, Z)</span></a></p>
<div class="sphx-glr-thumbnail-title">contourf(X, Y, Z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.barbs."><img alt="barbs(X, Y, U, V)" src="../_images/sphx_glr_barbs_thumb.png" />
<p><a class="reference internal" href="arrays/barbs.html#sphx-glr-plot-types-arrays-barbs-py"><span class="std std-ref">barbs(X, Y, U, V)</span></a></p>
<div class="sphx-glr-thumbnail-title">barbs(X, Y, U, V)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.quiver."><img alt="quiver(X, Y, U, V)" src="../_images/sphx_glr_quiver_thumb.png" />
<p><a class="reference internal" href="arrays/quiver.html#sphx-glr-plot-types-arrays-quiver-py"><span class="std std-ref">quiver(X, Y, U, V)</span></a></p>
<div class="sphx-glr-thumbnail-title">quiver(X, Y, U, V)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.streamplot."><img alt="streamplot(X, Y, U, V)" src="../_images/sphx_glr_streamplot_thumb.png" />
<p><a class="reference internal" href="arrays/streamplot.html#sphx-glr-plot-types-arrays-streamplot-py"><span class="std std-ref">streamplot(X, Y, U, V)</span></a></p>
<div class="sphx-glr-thumbnail-title">streamplot(X, Y, U, V)</div>
</div></div></section>
<section id="statistics-plots">
<h2>Statistics plots<a class="headerlink" href="#statistics-plots" title="Permalink to this headline">#</a></h2>
<p>Plots for statistical analysis.</p>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.hist."><img alt="hist(x)" src="../_images/sphx_glr_hist_plot_thumb.png" />
<p><a class="reference internal" href="stats/hist_plot.html#sphx-glr-plot-types-stats-hist-plot-py"><span class="std std-ref">hist(x)</span></a></p>
<div class="sphx-glr-thumbnail-title">hist(x)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.boxplot."><img alt="boxplot(X)" src="../_images/sphx_glr_boxplot_plot_thumb.png" />
<p><a class="reference internal" href="stats/boxplot_plot.html#sphx-glr-plot-types-stats-boxplot-plot-py"><span class="std std-ref">boxplot(X)</span></a></p>
<div class="sphx-glr-thumbnail-title">boxplot(X)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.errorbar."><img alt="errorbar(x, y, yerr, xerr)" src="../_images/sphx_glr_errorbar_plot_thumb.png" />
<p><a class="reference internal" href="stats/errorbar_plot.html#sphx-glr-plot-types-stats-errorbar-plot-py"><span class="std std-ref">errorbar(x, y, yerr, xerr)</span></a></p>
<div class="sphx-glr-thumbnail-title">errorbar(x, y, yerr, xerr)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.violinplot."><img alt="violinplot(D)" src="../_images/sphx_glr_violin_thumb.png" />
<p><a class="reference internal" href="stats/violin.html#sphx-glr-plot-types-stats-violin-py"><span class="std std-ref">violinplot(D)</span></a></p>
<div class="sphx-glr-thumbnail-title">violinplot(D)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.eventplot."><img alt="eventplot(D)" src="../_images/sphx_glr_eventplot_thumb.png" />
<p><a class="reference internal" href="stats/eventplot.html#sphx-glr-plot-types-stats-eventplot-py"><span class="std std-ref">eventplot(D)</span></a></p>
<div class="sphx-glr-thumbnail-title">eventplot(D)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.hist2d."><img alt="hist2d(x, y)" src="../_images/sphx_glr_hist2d_thumb.png" />
<p><a class="reference internal" href="stats/hist2d.html#sphx-glr-plot-types-stats-hist2d-py"><span class="std std-ref">hist2d(x, y)</span></a></p>
<div class="sphx-glr-thumbnail-title">hist2d(x, y)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.hexbin."><img alt="hexbin(x, y, C)" src="../_images/sphx_glr_hexbin_thumb.png" />
<p><a class="reference internal" href="stats/hexbin.html#sphx-glr-plot-types-stats-hexbin-py"><span class="std std-ref">hexbin(x, y, C)</span></a></p>
<div class="sphx-glr-thumbnail-title">hexbin(x, y, C)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.pie."><img alt="pie(x)" src="../_images/sphx_glr_pie_thumb.png" />
<p><a class="reference internal" href="stats/pie.html#sphx-glr-plot-types-stats-pie-py"><span class="std std-ref">pie(x)</span></a></p>
<div class="sphx-glr-thumbnail-title">pie(x)</div>
</div></div></section>
<section id="unstructured-coordinates">
<h2>Unstructured coordinates<a class="headerlink" href="#unstructured-coordinates" title="Permalink to this headline">#</a></h2>
<p>Sometimes we collect data <code class="docutils literal notranslate"><span class="pre">z</span></code> at coordinates <code class="docutils literal notranslate"><span class="pre">(x,y)</span></code> and want to visualize
as a contour. Instead of gridding the data and then using
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.contour.html#matplotlib.axes.Axes.contour" title="matplotlib.axes.Axes.contour"><code class="xref py py-obj docutils literal notranslate"><span class="pre">contour</span></code></a>, we can use a triangulation algorithm and fill the
triangles.</p>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.tricontour."><img alt="tricontour(x, y, z)" src="../_images/sphx_glr_tricontour_thumb.png" />
<p><a class="reference internal" href="unstructured/tricontour.html#sphx-glr-plot-types-unstructured-tricontour-py"><span class="std std-ref">tricontour(x, y, z)</span></a></p>
<div class="sphx-glr-thumbnail-title">tricontour(x, y, z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.tricontourf."><img alt="tricontourf(x, y, z)" src="../_images/sphx_glr_tricontourf_thumb.png" />
<p><a class="reference internal" href="unstructured/tricontourf.html#sphx-glr-plot-types-unstructured-tricontourf-py"><span class="std std-ref">tricontourf(x, y, z)</span></a></p>
<div class="sphx-glr-thumbnail-title">tricontourf(x, y, z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.tripcolor."><img alt="tripcolor(x, y, z)" src="../_images/sphx_glr_tripcolor_thumb.png" />
<p><a class="reference internal" href="unstructured/tripcolor.html#sphx-glr-plot-types-unstructured-tripcolor-py"><span class="std std-ref">tripcolor(x, y, z)</span></a></p>
<div class="sphx-glr-thumbnail-title">tripcolor(x, y, z)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="See ~matplotlib.axes.Axes.triplot."><img alt="triplot(x, y)" src="../_images/sphx_glr_triplot_thumb.png" />
<p><a class="reference internal" href="unstructured/triplot.html#sphx-glr-plot-types-unstructured-triplot-py"><span class="std std-ref">triplot(x, y)</span></a></p>
<div class="sphx-glr-thumbnail-title">triplot(x, y)</div>
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<p><a class="reference download internal" download="" href="../_downloads/ea73be0751ffd403489ec6af7a17ed2c/plot_types_python.zip"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">all</span> <span class="pre">examples</span> <span class="pre">in</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_types_python.zip</span></code></a></p>
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<p><a class="reference download internal" download="" href="../_downloads/4e1270d363927f553fd952d7a2603176/plot_types_jupyter.zip"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">all</span> <span class="pre">examples</span> <span class="pre">in</span> <span class="pre">Jupyter</span> <span class="pre">notebooks:</span> <span class="pre">plot_types_jupyter.zip</span></code></a></p>
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