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  <div class="section" id="hodograph">
<h1>Hodograph<a class="headerlink" href="#hodograph" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="metpy.plots.Hodograph">
<em class="property">class </em><code class="descclassname">metpy.plots.</code><code class="descname">Hodograph</code><span class="sig-paren">(</span><em>ax=None</em>, <em>component_range=80</em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/metpy/plots/skewt.html#Hodograph"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#metpy.plots.Hodograph" title="Permalink to this definition">¶</a></dt>
<dd><p>Make a hodograph of wind data.</p>
<p>Plots the u and v components of the wind along the x and y axes, respectively.</p>
<p>This class simplifies the process of creating a hodograph using matplotlib.
It provides helpers for creating a circular grid and for plotting the wind as a line
colored by another value (such as wind speed).</p>
<dl class="attribute">
<dt id="metpy.plots.Hodograph.ax">
<code class="descname">ax</code><a class="headerlink" href="#metpy.plots.Hodograph.ax" title="Permalink to this definition">¶</a></dt>
<dd><p><a class="reference external" href="https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes" title="(in Matplotlib v2.2.2)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.axes.Axes</span></code></a> – The underlying Axes instance used for all plotting</p>
</dd></dl>

<p>Create a Hodograph instance.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>ax</strong> (<a class="reference external" href="https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes" title="(in Matplotlib v2.2.2)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.axes.Axes</span></code></a>, optional) – The <em class="xref py py-obj">Axes</em> instance used for plotting</li>
<li><strong>component_range</strong> (<em>value</em>) – The maximum range of the plot. Used to set plot bounds and control the maximum
number of grid rings needed.</li>
</ul>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Methods Summary</p>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="#metpy.plots.Hodograph.__init__" title="metpy.plots.Hodograph.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>([ax,&nbsp;component_range])</td>
<td>Create a Hodograph instance.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#metpy.plots.Hodograph.add_grid" title="metpy.plots.Hodograph.add_grid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_grid</span></code></a>([increment])</td>
<td>Add grid lines to hodograph.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#metpy.plots.Hodograph.plot" title="metpy.plots.Hodograph.plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot</span></code></a>(u,&nbsp;v,&nbsp;**kwargs)</td>
<td>Plot u, v data.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#metpy.plots.Hodograph.plot_colormapped" title="metpy.plots.Hodograph.plot_colormapped"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_colormapped</span></code></a>(u,&nbsp;v,&nbsp;c[,&nbsp;bounds,&nbsp;colors])</td>
<td>Plot u, v data, with line colored based on a third set of data.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#metpy.plots.Hodograph.wind_vectors" title="metpy.plots.Hodograph.wind_vectors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wind_vectors</span></code></a>(u,&nbsp;v,&nbsp;**kwargs)</td>
<td>Plot u, v data as wind vectors.</td>
</tr>
</tbody>
</table>
<p class="rubric">Methods Documentation</p>
<dl class="method">
<dt id="metpy.plots.Hodograph.__init__">
<code class="descname">__init__</code><span class="sig-paren">(</span><em>ax=None</em>, <em>component_range=80</em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/metpy/plots/skewt.html#Hodograph.__init__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#metpy.plots.Hodograph.__init__" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a Hodograph instance.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>ax</strong> (<a class="reference external" href="https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes" title="(in Matplotlib v2.2.2)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.axes.Axes</span></code></a>, optional) – The <em class="xref py py-obj">Axes</em> instance used for plotting</li>
<li><strong>component_range</strong> (<em>value</em>) – The maximum range of the plot. Used to set plot bounds and control the maximum
number of grid rings needed.</li>
</ul>
</td>
</tr>
</tbody>
</table>
</dd></dl>

<dl class="method">
<dt id="metpy.plots.Hodograph.add_grid">
<code class="descname">add_grid</code><span class="sig-paren">(</span><em>increment=10.0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/metpy/plots/skewt.html#Hodograph.add_grid"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#metpy.plots.Hodograph.add_grid" title="Permalink to this definition">¶</a></dt>
<dd><p>Add grid lines to hodograph.</p>
<p>Creates lines for the x- and y-axes, as well as circles denoting wind speed values.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>increment</strong> (<em>value</em><em>, </em><em>optional</em>) – The value increment between rings</li>
<li><strong>kwargs</strong> – Other kwargs to control appearance of lines</li>
</ul>
</td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<p class="last"><a class="reference external" href="https://matplotlib.org/api/_as_gen/matplotlib.patches.Circle.html#matplotlib.patches.Circle" title="(in Matplotlib v2.2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.patches.Circle</span></code></a>, <a class="reference external" href="https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.axhline.html#matplotlib.axes.Axes.axhline" title="(in Matplotlib v2.2.2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.axhline()</span></code></a>, <a class="reference external" href="https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.axvline.html#matplotlib.axes.Axes.axvline" title="(in Matplotlib v2.2.2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.axvline()</span></code></a></p>
</div>
</dd></dl>

<dl class="method">
<dt id="metpy.plots.Hodograph.plot">
<code class="descname">plot</code><span class="sig-paren">(</span><em>u</em>, <em>v</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/metpy/plots/skewt.html#Hodograph.plot"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#metpy.plots.Hodograph.plot" title="Permalink to this definition">¶</a></dt>
<dd><p>Plot u, v data.</p>
<p>Plots the wind data on the hodograph.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>u</strong> (<em>array_like</em>) – u-component of wind</li>
<li><strong>v</strong> (<em>array_like</em>) – v-component of wind</li>
<li><strong>kwargs</strong> – Other keyword arguments to pass to <a class="reference external" href="https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="(in Matplotlib v2.2.2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.plot()</span></code></a></li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><em>list[matplotlib.lines.Line2D]</em> – lines plotted</p>
</td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<p class="last"><a class="reference internal" href="#metpy.plots.Hodograph.plot_colormapped" title="metpy.plots.Hodograph.plot_colormapped"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Hodograph.plot_colormapped()</span></code></a></p>
</div>
</dd></dl>

<dl class="method">
<dt id="metpy.plots.Hodograph.plot_colormapped">
<code class="descname">plot_colormapped</code><span class="sig-paren">(</span><em>u</em>, <em>v</em>, <em>c</em>, <em>bounds=None</em>, <em>colors=None</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/metpy/plots/skewt.html#Hodograph.plot_colormapped"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#metpy.plots.Hodograph.plot_colormapped" title="Permalink to this definition">¶</a></dt>
<dd><p>Plot u, v data, with line colored based on a third set of data.</p>
<p>Plots the wind data on the hodograph, but with a colormapped line. Takes a third
variable besides the winds and either a colormap to color it with or a series of
bounds and colors to create a colormap and norm to control colormapping.
The bounds must always be in increasing order. For using custom bounds with
height data, the function will automatically interpolate to the actual bounds from the
height and wind data, as well as convert the input bounds from
height AGL to height above MSL to work with the provided heights.</p>
<p>Simple wrapper around plot so that pressure is the first (independent)
input. This is essentially a wrapper around <em class="xref py py-obj">semilogy</em>. It also
sets some appropriate ticking and plot ranges.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>u</strong> (<em>array_like</em>) – u-component of wind</li>
<li><strong>v</strong> (<em>array_like</em>) – v-component of wind</li>
<li><strong>c</strong> (<em>array_like</em>) – data to use for colormapping</li>
<li><strong>bounds</strong> (<em>array-like</em><em>, </em><em>optional</em>) – Array of bounds for c to use in coloring the hodograph.</li>
<li><strong>colors</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.6)"><em>list</em></a><em>, </em><em>optional</em>) – Array of strings representing colors for the hodograph segments.</li>
<li><strong>kwargs</strong> – Other keyword arguments to pass to <a class="reference external" href="https://matplotlib.org/api/collections_api.html#matplotlib.collections.LineCollection" title="(in Matplotlib v2.2.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.collections.LineCollection</span></code></a></li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><em>matplotlib.collections.LineCollection</em> – instance created</p>
</td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
<p class="first admonition-title">See also</p>
<p class="last"><a class="reference internal" href="#metpy.plots.Hodograph.plot" title="metpy.plots.Hodograph.plot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Hodograph.plot()</span></code></a></p>
</div>
</dd></dl>

<dl class="method">
<dt id="metpy.plots.Hodograph.wind_vectors">
<code class="descname">wind_vectors</code><span class="sig-paren">(</span><em>u</em>, <em>v</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/metpy/plots/skewt.html#Hodograph.wind_vectors"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#metpy.plots.Hodograph.wind_vectors" title="Permalink to this definition">¶</a></dt>
<dd><p>Plot u, v data as wind vectors.</p>
<p>Plot the wind data as vectors for each level, beginning at the origin.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>u</strong> (<em>array_like</em>) – u-component of wind</li>
<li><strong>v</strong> (<em>array_like</em>) – v-component of wind</li>
<li><strong>kwargs</strong> – Other keyword arguments to pass to <a class="reference external" href="https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.quiver.html#matplotlib.axes.Axes.quiver" title="(in Matplotlib v2.2.2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">matplotlib.axes.Axes.quiver()</span></code></a></li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><em>matplotlib.quiver.Quiver</em> – arrows plotted</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>

</dd></dl>

<div class="section" id="examples-using-metpy-plots-hodograph">
<h2>Examples using <code class="docutils literal notranslate"><span class="pre">metpy.plots.Hodograph</span></code><a class="headerlink" href="#examples-using-metpy-plots-hodograph" title="Permalink to this headline">¶</a></h2>
<div class="sphx-glr-thumbcontainer" tooltip="Combine a Skew-T and a hodograph using Matplotlib&#x27;s `GridSpec` layout capability. "><div class="figure" id="id1">
<img alt="../../_images/sphx_glr_Skew-T_Layout_thumb.png" src="../../_images/sphx_glr_Skew-T_Layout_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../examples/plots/Skew-T_Layout.html#sphx-glr-examples-plots-skew-t-layout-py"><span class="std std-ref">Skew-T with Complex Layout</span></a></span></p>
</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Layout a Skew-T plot with a hodograph inset into the plot. "><div class="figure" id="id2">
<img alt="../../_images/sphx_glr_Hodograph_Inset_thumb.png" src="../../_images/sphx_glr_Hodograph_Inset_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../examples/plots/Hodograph_Inset.html#sphx-glr-examples-plots-hodograph-inset-py"><span class="std std-ref">Hodograph Inset</span></a></span></p>
</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Upper air analysis is a staple of many synoptic and mesoscale analysis problems. In this tutori..."><div class="figure" id="id3">
<img alt="../../_images/sphx_glr_upperair_soundings_thumb.png" src="../../_images/sphx_glr_upperair_soundings_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../tutorials/upperair_soundings.html#sphx-glr-tutorials-upperair-soundings-py"><span class="std std-ref">Upper Air Sounding Tutorial</span></a></span></p>
</div>
</div><div style='clear:both'></div></div>
</div>


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