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<h1>Plotting commands summary<a class="headerlink" href="#plotting-commands-summary" title="Permalink to this headline">¶</a></h1>

<tt class="descclassname">matplotlib.pyplot.</tt><tt class="descname">plotting</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.pyplot.plotting" title="Permalink to this definition">¶</a></dt>

</colgroup>

<tr class="row-odd"><th class="head">Function</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.acorr" title="matplotlib.pyplot.acorr"><tt class="xref py py-obj docutils literal"><span class="pre">acorr</span></tt></a></td>

<td>Plot the autocorrelation of <em>x</em>.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.annotate" title="matplotlib.pyplot.annotate"><tt class="xref py py-obj docutils literal"><span class="pre">annotate</span></tt></a></td>

<td>Create an annotation: a piece of text referring to a data point.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.arrow" title="matplotlib.pyplot.arrow"><tt class="xref py py-obj docutils literal"><span class="pre">arrow</span></tt></a></td>

<td>Add an arrow to the axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.autoscale" title="matplotlib.pyplot.autoscale"><tt class="xref py py-obj docutils literal"><span class="pre">autoscale</span></tt></a></td>

<td>Autoscale the axis view to the data (toggle).</td>

</tr>

<td>Add an axes to the figure.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axhline" title="matplotlib.pyplot.axhline"><tt class="xref py py-obj docutils literal"><span class="pre">axhline</span></tt></a></td>

<td>Add a horizontal line across the axis.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axhspan" title="matplotlib.pyplot.axhspan"><tt class="xref py py-obj docutils literal"><span class="pre">axhspan</span></tt></a></td>

<td>Add a horizontal span (rectangle) across the axis.</td>

</tr>

<td>Convenience method to get or set axis properties.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axvline" title="matplotlib.pyplot.axvline"><tt class="xref py py-obj docutils literal"><span class="pre">axvline</span></tt></a></td>

<td>Add a vertical line across the axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axvspan" title="matplotlib.pyplot.axvspan"><tt class="xref py py-obj docutils literal"><span class="pre">axvspan</span></tt></a></td>

<td>Add a vertical span (rectangle) across the axes.</td>

</tr>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.barbs" title="matplotlib.pyplot.barbs"><tt class="xref py py-obj docutils literal"><span class="pre">barbs</span></tt></a></td>

<td>Plot a 2-D field of barbs.</td>

</tr>

<td>Make a horizontal bar plot.</td>

</tr>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.boxplot" title="matplotlib.pyplot.boxplot"><tt class="xref py py-obj docutils literal"><span class="pre">boxplot</span></tt></a></td>

<td>Make a box and whisker plot.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.broken_barh" title="matplotlib.pyplot.broken_barh"><tt class="xref py py-obj docutils literal"><span class="pre">broken_barh</span></tt></a></td>

<td>Plot horizontal bars.</td>

</tr>

<td>Clear the current axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.clabel" title="matplotlib.pyplot.clabel"><tt class="xref py py-obj docutils literal"><span class="pre">clabel</span></tt></a></td>

<td>Label a contour plot.</td>

</tr>

<td>Clear the current figure.</td>

</tr>

<td>Set the color limits of the current image.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.close" title="matplotlib.pyplot.close"><tt class="xref py py-obj docutils literal"><span class="pre">close</span></tt></a></td>

<td>Close a figure window.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.cohere" title="matplotlib.pyplot.cohere"><tt class="xref py py-obj docutils literal"><span class="pre">cohere</span></tt></a></td>

<td>Plot the coherence between <em>x</em> and <em>y</em>.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><tt class="xref py py-obj docutils literal"><span class="pre">colorbar</span></tt></a></td>

<td>Add a colorbar to a plot.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.contour" title="matplotlib.pyplot.contour"><tt class="xref py py-obj docutils literal"><span class="pre">contour</span></tt></a></td>

<td>Plot contours.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.contourf" title="matplotlib.pyplot.contourf"><tt class="xref py py-obj docutils literal"><span class="pre">contourf</span></tt></a></td>

<td>Plot contours.</td>

</tr>

<td>Plot cross-spectral density.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.delaxes" title="matplotlib.pyplot.delaxes"><tt class="xref py py-obj docutils literal"><span class="pre">delaxes</span></tt></a></td>

<td>Remove an axes from the current figure.</td>

</tr>

<td>Redraw the current figure.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.errorbar" title="matplotlib.pyplot.errorbar"><tt class="xref py py-obj docutils literal"><span class="pre">errorbar</span></tt></a></td>

<td>Plot an errorbar graph.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.eventplot" title="matplotlib.pyplot.eventplot"><tt class="xref py py-obj docutils literal"><span class="pre">eventplot</span></tt></a></td>

<td>Plot identical parallel lines at specific positions.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figimage" title="matplotlib.pyplot.figimage"><tt class="xref py py-obj docutils literal"><span class="pre">figimage</span></tt></a></td>

<td>Adds a non-resampled image to the figure.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figlegend" title="matplotlib.pyplot.figlegend"><tt class="xref py py-obj docutils literal"><span class="pre">figlegend</span></tt></a></td>

<td>Place a legend in the figure.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figtext" title="matplotlib.pyplot.figtext"><tt class="xref py py-obj docutils literal"><span class="pre">figtext</span></tt></a></td>

<td>Add text to figure.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure"><tt class="xref py py-obj docutils literal"><span class="pre">figure</span></tt></a></td>

<td>Creates a new figure.</td>

</tr>

<td>Plot filled polygons.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.fill_between" title="matplotlib.pyplot.fill_between"><tt class="xref py py-obj docutils literal"><span class="pre">fill_between</span></tt></a></td>

<td>Make filled polygons between two curves.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.fill_betweenx" title="matplotlib.pyplot.fill_betweenx"><tt class="xref py py-obj docutils literal"><span class="pre">fill_betweenx</span></tt></a></td>

<td>Make filled polygons between two horizontal curves.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.findobj" title="matplotlib.pyplot.findobj"><tt class="xref py py-obj docutils literal"><span class="pre">findobj</span></tt></a></td>

<td>Find artist objects.</td>

</tr>

<td>Return the current axis instance.</td>

</tr>

<td>Return a reference to the current figure.</td>

</tr>

<td>Get the current colorable artist.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.get_figlabels" title="matplotlib.pyplot.get_figlabels"><tt class="xref py py-obj docutils literal"><span class="pre">get_figlabels</span></tt></a></td>

<td>Return a list of existing figure labels.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.get_fignums" title="matplotlib.pyplot.get_fignums"><tt class="xref py py-obj docutils literal"><span class="pre">get_fignums</span></tt></a></td>

<td>Return a list of existing figure numbers.</td>

</tr>

<td>Turn the axes grids on or off.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hexbin" title="matplotlib.pyplot.hexbin"><tt class="xref py py-obj docutils literal"><span class="pre">hexbin</span></tt></a></td>

<td>Make a hexagonal binning plot.</td>

</tr>

<td>Plot a histogram.</td>

</tr>

<td>Make a 2D histogram plot.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hlines" title="matplotlib.pyplot.hlines"><tt class="xref py py-obj docutils literal"><span class="pre">hlines</span></tt></a></td>

<td>Plot horizontal lines.</td>

</tr>

<td>Set the hold state.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imread" title="matplotlib.pyplot.imread"><tt class="xref py py-obj docutils literal"><span class="pre">imread</span></tt></a></td>

<td>Read an image from a file into an array.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imsave" title="matplotlib.pyplot.imsave"><tt class="xref py py-obj docutils literal"><span class="pre">imsave</span></tt></a></td>

<td>Save an array as in image file.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imshow" title="matplotlib.pyplot.imshow"><tt class="xref py py-obj docutils literal"><span class="pre">imshow</span></tt></a></td>

<td>Display an image on the axes.</td>

</tr>

<td>Turn interactive mode off.</td>

</tr>

<td>Turn interactive mode on.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ishold" title="matplotlib.pyplot.ishold"><tt class="xref py py-obj docutils literal"><span class="pre">ishold</span></tt></a></td>

<td>Return the hold status of the current axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.isinteractive" title="matplotlib.pyplot.isinteractive"><tt class="xref py py-obj docutils literal"><span class="pre">isinteractive</span></tt></a></td>

<td>Return status of interactive mode.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.legend" title="matplotlib.pyplot.legend"><tt class="xref py py-obj docutils literal"><span class="pre">legend</span></tt></a></td>

<td>Place a legend on the current axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.locator_params" title="matplotlib.pyplot.locator_params"><tt class="xref py py-obj docutils literal"><span class="pre">locator_params</span></tt></a></td>

<td>Control behavior of tick locators.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.loglog" title="matplotlib.pyplot.loglog"><tt class="xref py py-obj docutils literal"><span class="pre">loglog</span></tt></a></td>

<td>Make a plot with log scaling on both the <em>x</em> and <em>y</em> axis.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.margins" title="matplotlib.pyplot.margins"><tt class="xref py py-obj docutils literal"><span class="pre">margins</span></tt></a></td>

<td>Set or retrieve autoscaling margins.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.matshow" title="matplotlib.pyplot.matshow"><tt class="xref py py-obj docutils literal"><span class="pre">matshow</span></tt></a></td>

<td>Display an array as a matrix in a new figure window.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.minorticks_off" title="matplotlib.pyplot.minorticks_off"><tt class="xref py py-obj docutils literal"><span class="pre">minorticks_off</span></tt></a></td>

<td>Remove minor ticks from the current plot.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.minorticks_on" title="matplotlib.pyplot.minorticks_on"><tt class="xref py py-obj docutils literal"><span class="pre">minorticks_on</span></tt></a></td>

<td>Display minor ticks on the current plot.</td>

</tr>

<td>Call a function with hold(True).</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pause" title="matplotlib.pyplot.pause"><tt class="xref py py-obj docutils literal"><span class="pre">pause</span></tt></a></td>

<td>Pause for <em>interval</em> seconds.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pcolor" title="matplotlib.pyplot.pcolor"><tt class="xref py py-obj docutils literal"><span class="pre">pcolor</span></tt></a></td>

<td>Create a pseudocolor plot of a 2-D array.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pcolormesh" title="matplotlib.pyplot.pcolormesh"><tt class="xref py py-obj docutils literal"><span class="pre">pcolormesh</span></tt></a></td>

<td>Plot a quadrilateral mesh.</td>

</tr>

<td>Plot a pie chart.</td>

</tr>

<td>Plot lines and/or markers to the <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal"><span class="pre">Axes</span></tt></a>.</td>

</tr>

<td>Plot with data with dates.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.plotfile" title="matplotlib.pyplot.plotfile"><tt class="xref py py-obj docutils literal"><span class="pre">plotfile</span></tt></a></td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.polar" title="matplotlib.pyplot.polar"><tt class="xref py py-obj docutils literal"><span class="pre">polar</span></tt></a></td>

<td>Make a polar plot.</td>

</tr>

<td>Plot the power spectral density.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.quiver" title="matplotlib.pyplot.quiver"><tt class="xref py py-obj docutils literal"><span class="pre">quiver</span></tt></a></td>

<td>Plot a 2-D field of arrows.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.quiverkey" title="matplotlib.pyplot.quiverkey"><tt class="xref py py-obj docutils literal"><span class="pre">quiverkey</span></tt></a></td>

<td>Add a key to a quiver plot.</td>

</tr>

<td>Set the current rc params.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rc_context" title="matplotlib.pyplot.rc_context"><tt class="xref py py-obj docutils literal"><span class="pre">rc_context</span></tt></a></td>

<td>Return a context manager for managing rc settings.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rcdefaults" title="matplotlib.pyplot.rcdefaults"><tt class="xref py py-obj docutils literal"><span class="pre">rcdefaults</span></tt></a></td>

<td>Restore the default rc params.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rgrids" title="matplotlib.pyplot.rgrids"><tt class="xref py py-obj docutils literal"><span class="pre">rgrids</span></tt></a></td>

<td>Get or set the radial gridlines on a polar plot.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.savefig" title="matplotlib.pyplot.savefig"><tt class="xref py py-obj docutils literal"><span class="pre">savefig</span></tt></a></td>

<td>Save the current figure.</td>

</tr>

<td>Set the current Axes instance to <em>ax</em>.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter"><tt class="xref py py-obj docutils literal"><span class="pre">scatter</span></tt></a></td>

<td>Make a scatter plot of x vs y, where x and y are sequence like objects of the same lengths.</td>

</tr>

<td>Set the current image.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.semilogx" title="matplotlib.pyplot.semilogx"><tt class="xref py py-obj docutils literal"><span class="pre">semilogx</span></tt></a></td>

<td>Make a plot with log scaling on the <em>x</em> axis.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.semilogy" title="matplotlib.pyplot.semilogy"><tt class="xref py py-obj docutils literal"><span class="pre">semilogy</span></tt></a></td>

<td>Make a plot with log scaling on the <em>y</em> axis.</td>

</tr>

<td>Set the default colormap.</td>

</tr>

<td>Set a property on an artist object.</td>

</tr>

<td>Display a figure.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.specgram" title="matplotlib.pyplot.specgram"><tt class="xref py py-obj docutils literal"><span class="pre">specgram</span></tt></a></td>

<td>Plot a spectrogram.</td>

</tr>

<td>Plot the sparsity pattern on a 2-D array.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.stackplot" title="matplotlib.pyplot.stackplot"><tt class="xref py py-obj docutils literal"><span class="pre">stackplot</span></tt></a></td>

<td>Draws a stacked area plot.</td>

</tr>

<td>Create a stem plot.</td>

</tr>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.streamplot" title="matplotlib.pyplot.streamplot"><tt class="xref py py-obj docutils literal"><span class="pre">streamplot</span></tt></a></td>

<td>Draws streamlines of a vector flow.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><tt class="xref py py-obj docutils literal"><span class="pre">subplot</span></tt></a></td>

<td>Return a subplot axes positioned by the given grid definition.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot2grid" title="matplotlib.pyplot.subplot2grid"><tt class="xref py py-obj docutils literal"><span class="pre">subplot2grid</span></tt></a></td>

<td>Create a subplot in a grid.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot_tool" title="matplotlib.pyplot.subplot_tool"><tt class="xref py py-obj docutils literal"><span class="pre">subplot_tool</span></tt></a></td>

<td>Launch a subplot tool window for a figure.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots"><tt class="xref py py-obj docutils literal"><span class="pre">subplots</span></tt></a></td>

<td>Create a figure with a set of subplots already made.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplots_adjust" title="matplotlib.pyplot.subplots_adjust"><tt class="xref py py-obj docutils literal"><span class="pre">subplots_adjust</span></tt></a></td>

<td>Tune the subplot layout.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.suptitle" title="matplotlib.pyplot.suptitle"><tt class="xref py py-obj docutils literal"><span class="pre">suptitle</span></tt></a></td>

<td>Add a centered title to the figure.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.switch_backend" title="matplotlib.pyplot.switch_backend"><tt class="xref py py-obj docutils literal"><span class="pre">switch_backend</span></tt></a></td>

<td>Switch the default backend.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.table" title="matplotlib.pyplot.table"><tt class="xref py py-obj docutils literal"><span class="pre">table</span></tt></a></td>

<td>Add a table to the current axes.</td>

</tr>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.thetagrids" title="matplotlib.pyplot.thetagrids"><tt class="xref py py-obj docutils literal"><span class="pre">thetagrids</span></tt></a></td>

<td>Get or set the theta locations of the gridlines in a polar plot.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tick_params" title="matplotlib.pyplot.tick_params"><tt class="xref py py-obj docutils literal"><span class="pre">tick_params</span></tt></a></td>

<td>Change the appearance of ticks and tick labels.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ticklabel_format" title="matplotlib.pyplot.ticklabel_format"><tt class="xref py py-obj docutils literal"><span class="pre">ticklabel_format</span></tt></a></td>

<td>Change the <a class="reference internal" href="ticker_api.html#matplotlib.ticker.ScalarFormatter" title="matplotlib.ticker.ScalarFormatter"><tt class="xref py py-obj docutils literal"><span class="pre">ScalarFormatter</span></tt></a> used by default for linear axes.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tight_layout" title="matplotlib.pyplot.tight_layout"><tt class="xref py py-obj docutils literal"><span class="pre">tight_layout</span></tt></a></td>

<td>Automatically adjust subplot parameters to give specified padding.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.title" title="matplotlib.pyplot.title"><tt class="xref py py-obj docutils literal"><span class="pre">title</span></tt></a></td>

<td>Set a title of the current axes.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tricontour" title="matplotlib.pyplot.tricontour"><tt class="xref py py-obj docutils literal"><span class="pre">tricontour</span></tt></a></td>

<td>Draw contours on an unstructured triangular grid.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tricontourf" title="matplotlib.pyplot.tricontourf"><tt class="xref py py-obj docutils literal"><span class="pre">tricontourf</span></tt></a></td>

<td>Draw contours on an unstructured triangular grid.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tripcolor" title="matplotlib.pyplot.tripcolor"><tt class="xref py py-obj docutils literal"><span class="pre">tripcolor</span></tt></a></td>

<td>Create a pseudocolor plot of an unstructured triangular grid.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.triplot" title="matplotlib.pyplot.triplot"><tt class="xref py py-obj docutils literal"><span class="pre">triplot</span></tt></a></td>

<td>Draw a unstructured triangular grid as lines and/or markers.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.twinx" title="matplotlib.pyplot.twinx"><tt class="xref py py-obj docutils literal"><span class="pre">twinx</span></tt></a></td>

<td>Make a second axes that shares the <em>x</em>-axis.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.twiny" title="matplotlib.pyplot.twiny"><tt class="xref py py-obj docutils literal"><span class="pre">twiny</span></tt></a></td>

<td>Make a second axes that shares the <em>y</em>-axis.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.vlines" title="matplotlib.pyplot.vlines"><tt class="xref py py-obj docutils literal"><span class="pre">vlines</span></tt></a></td>

<td>Plot vertical lines.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xcorr" title="matplotlib.pyplot.xcorr"><tt class="xref py py-obj docutils literal"><span class="pre">xcorr</span></tt></a></td>

<td>Plot the cross correlation between <em>x</em> and <em>y</em>.</td>

</tr>

<td>Turns on <a class="reference external" href="http://xkcd.com/">xkcd</a> sketch-style drawing mode.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xlabel" title="matplotlib.pyplot.xlabel"><tt class="xref py py-obj docutils literal"><span class="pre">xlabel</span></tt></a></td>

<td>Set the <em>x</em> axis label of the current axis.</td>

</tr>

<td>Get or set the <em>x</em> limits of the current axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xscale" title="matplotlib.pyplot.xscale"><tt class="xref py py-obj docutils literal"><span class="pre">xscale</span></tt></a></td>

<td>Set the scaling of the <em>x</em>-axis.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xticks" title="matplotlib.pyplot.xticks"><tt class="xref py py-obj docutils literal"><span class="pre">xticks</span></tt></a></td>

<td>Get or set the <em>x</em>-limits of the current tick locations and labels.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ylabel" title="matplotlib.pyplot.ylabel"><tt class="xref py py-obj docutils literal"><span class="pre">ylabel</span></tt></a></td>

<td>Set the <em>y</em> axis label of the current axis.</td>

</tr>

<td>Get or set the <em>y</em>-limits of the current axes.</td>

</tr>

<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.yscale" title="matplotlib.pyplot.yscale"><tt class="xref py py-obj docutils literal"><span class="pre">yscale</span></tt></a></td>

<td>Set the scaling of the <em>y</em>-axis.</td>

</tr>

<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.yticks" title="matplotlib.pyplot.yticks"><tt class="xref py py-obj docutils literal"><span class="pre">yticks</span></tt></a></td>

<td>Get or set the <em>y</em>-limits of the current tick locations and labels.</td>

</tr>

</tbody>

</table>

</dd></dl>

<tt class="descclassname">matplotlib.pyplot.</tt><tt class="descname">colormaps</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.pyplot.colormaps" title="Permalink to this definition">¶</a></dt>

<dd><p>Matplotlib provides a number of colormaps, and others can be added using

<a class="reference internal" href="cm_api.html#matplotlib.cm.register_cmap" title="matplotlib.cm.register_cmap"><tt class="xref py py-func docutils literal"><span class="pre">register_cmap()</span></tt></a>. This function documents the built-in

colormaps, and will also return a list of all registered colormaps if called.</p>

<p>You can set the colormap for an image, pcolor, scatter, etc,

using a keyword argument:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">imshow</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cm</span><span class="o">.</span><span class="n">hot</span><span class="p">)</span>

</pre></div>

</div>

<p>or using the <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.set_cmap" title="matplotlib.pyplot.set_cmap"><tt class="xref py py-func docutils literal"><span class="pre">set_cmap()</span></tt></a> function:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">imshow</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>

<span class="n">pyplot</span><span class="o">.</span><span class="n">set_cmap</span><span class="p">(</span><span class="s">'hot'</span><span class="p">)</span>

<span class="n">pyplot</span><span class="o">.</span><span class="n">set_cmap</span><span class="p">(</span><span class="s">'jet'</span><span class="p">)</span>

</pre></div>

</div>

<p>In interactive mode, <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.set_cmap" title="matplotlib.pyplot.set_cmap"><tt class="xref py py-func docutils literal"><span class="pre">set_cmap()</span></tt></a> will update the colormap post-hoc,

allowing you to see which one works best for your data.</p>

<p>All built-in colormaps can be reversed by appending <tt class="docutils literal"><span class="pre">_r</span></tt>: For instance,

<tt class="docutils literal"><span class="pre">gray_r</span></tt> is the reverse of <tt class="docutils literal"><span class="pre">gray</span></tt>.</p>

<p>There are several common color schemes used in visualization:</p>

<dt>Sequential schemes</dt>

<dd>for unipolar data that progresses from low to high</dd>

<dt>Diverging schemes</dt>

<dd>for bipolar data that emphasizes positive or negative deviations from a

central value</dd>

<dt>Cyclic schemes</dt>

<dd>meant for plotting values that wrap around at the

endpoints, such as phase angle, wind direction, or time of day</dd>

<dt>Qualitative schemes</dt>

<dd>for nominal data that has no inherent ordering, where color is used

only to distinguish categories</dd>

</dl>

<p>The base colormaps are derived from those of the same name provided

with Matlab:</p>

</colgroup>

<tr class="row-odd"><th class="head">Colormap</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>autumn</td>

<td>sequential linearly-increasing shades of red-orange-yellow</td>

</tr>

<td>sequential increasing black-white color map with

a tinge of blue, to emulate X-ray film</td>

</tr>

<td>linearly-decreasing shades of cyan-magenta</td>

</tr>

<tr class="row-odd"><td>copper</td>

<td>sequential increasing shades of black-copper</td>

</tr>

<td>repetitive red-white-blue-black pattern (not cyclic at

endpoints)</td>

</tr>

<td>sequential linearly-increasing black-to-white

grayscale</td>

</tr>

<td>sequential black-red-yellow-white, to emulate blackbody

radiation from an object at increasing temperatures</td>

</tr>

<td>cyclic red-yellow-green-cyan-blue-magenta-red, formed

by changing the hue component in the HSV color space</td>

</tr>

<td>a spectral map with dark endpoints, blue-cyan-yellow-red;

based on a fluid-jet simulation by NCSA <a class="footnote-reference" href="#id6" id="id1">[1]</a></td>

</tr>

<td>sequential increasing pastel black-pink-white, meant

for sepia tone colorization of photographs</td>

</tr>

<tr class="row-even"><td>prism</td>

<td>repetitive red-yellow-green-blue-purple-...-green pattern

(not cyclic at endpoints)</td>

</tr>

<tr class="row-odd"><td>spring</td>

<td>linearly-increasing shades of magenta-yellow</td>

</tr>

<tr class="row-even"><td>summer</td>

<td>sequential linearly-increasing shades of green-yellow</td>

</tr>

<tr class="row-odd"><td>winter</td>

<td>linearly-increasing shades of blue-green</td>

</tr>

</tbody>

</table>

</div></blockquote>

<p>For the above list only, you can also set the colormap using the

corresponding pylab shortcut interface function, similar to Matlab:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">imshow</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>

</pre></div>

</div>

<p>The next set of palettes are from the <a class="reference external" href="http://yorick.sourceforge.net/index.php">Yorick scientific visualisation

package</a>, an evolution of

the GIST package, both by David H. Munro:</p>

</colgroup>

<tr class="row-odd"><th class="head">Colormap</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>gist_earth</td>

<td>mapmaker’s colors from dark blue deep ocean to green

lowlands to brown highlands to white mountains</td>

</tr>

<td>sequential increasing black-red-orange-white, to emulate

blackbody radiation from an iron bar as it grows hotter</td>

</tr>

<td>pseudo-spectral black-blue-green-yellow-red-purple-white

colormap from National Center for Atmospheric

Research <a class="footnote-reference" href="#id7" id="id2">[2]</a></td>

</tr>

<tr class="row-odd"><td>gist_rainbow</td>

<td>runs through the colors in spectral order from red to

violet at full saturation (like <em>hsv</em> but not cyclic)</td>

</tr>

<tr class="row-even"><td>gist_stern</td>

<td>“Stern special” color table from Interactive Data

Language software</td>

</tr>

</tbody>

</table>

</div></blockquote>

<p>The following colormaps are based on the <a class="reference external" href="http://colorbrewer.org">ColorBrewer</a> color specifications and designs developed by

Cynthia Brewer:</p>

<p>ColorBrewer Diverging (luminance is highest at the midpoint, and

decreases towards differently-colored endpoints):</p>

</colgroup>

<tr class="row-odd"><th class="head">Colormap</th>

<th class="head">Description</th>

</tr>

</thead>

<td>brown, white, blue-green</td>

</tr>

<td>pink, white, yellow-green</td>

</tr>

<td>purple, white, green</td>

</tr>

<td>orange, white, purple</td>

</tr>

<td>red, white, blue</td>

</tr>

<td>red, white, gray</td>

</tr>

<tr class="row-even"><td>RdYlBu</td>

<td>red, yellow, blue</td>

</tr>

<tr class="row-odd"><td>RdYlGn</td>

<td>red, yellow, green</td>

</tr>

<tr class="row-even"><td>Spectral</td>

<td>red, orange, yellow, green, blue</td>

</tr>

</tbody>

</table>

</div></blockquote>

<p>ColorBrewer Sequential (luminance decreases monotonically):</p>

</colgroup>

<tr class="row-odd"><th class="head">Colormap</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>Blues</td>

<td>white to dark blue</td>

</tr>

<td>white, light blue, dark green</td>

</tr>

<td>white, light blue, dark purple</td>

</tr>

<td>white, light green, dark blue</td>

</tr>

<tr class="row-even"><td>Greens</td>

<td>white to dark green</td>

</tr>

<tr class="row-odd"><td>Greys</td>

<td>white to black (not linear)</td>

</tr>

<tr class="row-even"><td>Oranges</td>

<td>white, orange, dark brown</td>

</tr>

<td>white, orange, dark red</td>

</tr>

<td>white, light purple, dark blue</td>

</tr>

<tr class="row-odd"><td>PuBuGn</td>

<td>white, light purple, dark green</td>

</tr>

<td>white, light purple, dark red</td>

</tr>

<tr class="row-odd"><td>Purples</td>

<td>white to dark purple</td>

</tr>

<td>white, pink, dark purple</td>

</tr>

<td>white to dark red</td>

</tr>

<td>light yellow, dark green</td>

</tr>

<tr class="row-odd"><td>YlGnBu</td>

<td>light yellow, light green, dark blue</td>

</tr>

<tr class="row-even"><td>YlOrBr</td>

<td>light yellow, orange, dark brown</td>

</tr>

<tr class="row-odd"><td>YlOrRd</td>

<td>light yellow, orange, dark red</td>

</tr>

</tbody>

</table>

</div></blockquote>

<p>ColorBrewer Qualitative:</p>

<p>(For plotting nominal data, <tt class="xref py py-class docutils literal"><span class="pre">ListedColormap</span></tt> should be used,

not <tt class="xref py py-class docutils literal"><span class="pre">LinearSegmentedColormap</span></tt>. Different sets of colors are

recommended for different numbers of categories. These continuous

versions of the qualitative schemes may be removed or converted in the

future.)</p>

<li>Accent</li>

<li>Paired</li>

<li>Pastel1</li>

<li>Pastel2</li>

</ul>

<p>Other miscellaneous schemes:</p>

</colgroup>

<tr class="row-odd"><th class="head">Colormap</th>

<th class="head">Description</th>

</tr>

</thead>

<tr class="row-even"><td>afmhot</td>

<td>sequential black-orange-yellow-white blackbody

spectrum, commonly used in atomic force microscopy</td>

</tr>

<td>blue-red-green</td>

</tr>

<td>diverging blue-white-red</td>

</tr>

<tr class="row-odd"><td>coolwarm</td>

<td>diverging blue-gray-red, meant to avoid issues with 3D

shading, color blindness, and ordering of colors <a class="footnote-reference" href="#id8" id="id3">[3]</a></td>

</tr>

<tr class="row-even"><td>CMRmap</td>

<td>“Default colormaps on color images often reproduce to

confusing grayscale images. The proposed colormap

maintains an aesthetically pleasing color image that

automatically reproduces to a monotonic grayscale with

discrete, quantifiable saturation levels.” <a class="footnote-reference" href="#id9" id="id4">[4]</a></td>

</tr>

<tr class="row-odd"><td>cubehelix</td>

<td>Unlike most other color schemes cubehelix was designed

by D.A. Green to be monotonically increasing in terms

of perceived brightness. Also, when printed on a black

and white postscript printer, the scheme results in a

greyscale with monotonically increasing brightness.

This color scheme is named cubehelix because the r,g,b

values produced can be visualised as a squashed helix

around the diagonal in the r,g,b color cube.</td>

</tr>

<tr class="row-even"><td>gnuplot</td>

<td>gnuplot’s traditional pm3d scheme

(black-blue-red-yellow)</td>

</tr>

<tr class="row-odd"><td>gnuplot2</td>

<td>sequential color printable as gray

(black-blue-violet-yellow-white)</td>

</tr>

<tr class="row-even"><td>ocean</td>

<td>green-blue-white</td>

</tr>

<tr class="row-odd"><td>rainbow</td>

<td>spectral purple-blue-green-yellow-orange-red colormap

with diverging luminance</td>

</tr>

<tr class="row-even"><td>seismic</td>

<td>diverging blue-white-red</td>

</tr>

<tr class="row-odd"><td>nipy_spectral</td>

<td>black-purple-blue-green-yellow-red-white spectrum,

originally from the Neuroimaging in Python project</td>

</tr>

<tr class="row-even"><td>terrain</td>

<td>mapmaker’s colors, blue-green-yellow-brown-white,

originally from IGOR Pro</td>

</tr>

</tbody>

</table>

</div></blockquote>

<p>The following colormaps are redundant and may be removed in future

versions. It’s recommended to use the names in the descriptions

instead, which produce identical output:</p>

</colgroup>

<tr class="row-odd"><th class="head">Colormap</th>

<th class="head">Description</th>

</tr>

</thead>

<td>identical to <em>gray</em></td>

</tr>

<td>identical to <em>gray_r</em></td>

</tr>

<tr class="row-even"><td>binary</td>

<td>identical to <em>gray_r</em></td>

</tr>

<tr class="row-odd"><td>spectral</td>

<td>identical to <em>nipy_spectral</em> <a class="footnote-reference" href="#id10" id="id5">[5]</a></td>

</tr>

</tbody>

</table>

</div></blockquote>

<p class="rubric">Footnotes</p>

<tr><td class="label"><a class="fn-backref" href="#id1">[1]</a></td><td>Rainbow colormaps, <tt class="docutils literal"><span class="pre">jet</span></tt> in particular, are considered a poor

choice for scientific visualization by many researchers: <a class="reference external" href="http://www.jwave.vt.edu/%7Erkriz/Projects/create_color_table/color_07.pdf">Rainbow Color

Map (Still) Considered Harmful</a></td></tr>

</tbody>

</table>

<tr><td class="label"><a class="fn-backref" href="#id2">[2]</a></td><td>Resembles “BkBlAqGrYeOrReViWh200” from NCAR Command

Language. See <a class="reference external" href="http://www.ncl.ucar.edu/Document/Graphics/color_table_gallery.shtml">Color Table Gallery</a></td></tr>

</tbody>

</table>

<tr><td class="label"><a class="fn-backref" href="#id3">[3]</a></td><td>See <a class="reference external" href="http://www.cs.unm.edu/~kmorel/documents/ColorMaps/">Diverging Color Maps for Scientific Visualization</a> by Kenneth

Moreland.</td></tr>

</tbody>

</table>

<tr><td class="label"><a class="fn-backref" href="#id4">[4]</a></td><td>See <a class="reference external" href="http://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m">A Color Map for Effective Black-and-White Rendering of

Color-Scale Images</a>

by Carey Rappaport</td></tr>

</tbody>

</table>

<tr><td class="label"><a class="fn-backref" href="#id5">[5]</a></td><td>Changed to distinguish from ColorBrewer’s <em>Spectral</em> map.

<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.spectral" title="matplotlib.pyplot.spectral"><tt class="xref py py-func docutils literal"><span class="pre">spectral()</span></tt></a> still works, but

<tt class="docutils literal"><span class="pre">set_cmap('nipy_spectral')</span></tt> is recommended for clarity.</td></tr>

</tbody>

</table>

</dd></dl>

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