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<section id="grids-and-cartopy">
<h1>Grids and Cartopy<a class="headerlink" href="#grids-and-cartopy" title="Permalink to this headline"></a></h1>
<p><a class="reference external" href="http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Grids_and_Cartopy.ipynb">Notebook</a>
Python-AWIPS Tutorial Notebook</p>
<hr class="docutils" />
<section id="objectives">
<h2>Objectives<a class="headerlink" href="#objectives" title="Permalink to this headline"></a></h2>
<ul class="simple">
<li><p>Create a colorized plot for the continental US of model data (grib).</p></li>
<li><p>Access the model data from an EDEX server and limit the data returned
by using model specific parameters.</p></li>
<li><p>Use both <em>pcolormesh</em> and <em>contourf</em> to create colorized plots, and
compare the differences between the two.</p></li>
</ul>
<hr class="docutils" />
<section id="table-of-contents">
<h3>Table of Contents<a class="headerlink" href="#table-of-contents" title="Permalink to this headline"></a></h3>
<div class="line-block">
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#imports">1
Imports</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#define-data-request">2 Define Data
Request</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#limit-results-based-on-time">3 Limit Results Based on
Time</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#function-make-map">4 Function:
make_map()</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#use-the-grid-data">5 Use the Grid
Data!</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#plot-using-pcolormesh">5.1 Plot Using
pcolormesh</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#plot-using-contourf">5.2 Plot Using
contourf</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#see-also">6 See
Also</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#related-notebooks">6.1 Related
Notebooks</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html#additional-documentation">6.2 Additional
Documentation</a></div>
</div>
</section>
<hr class="docutils" />
<section id="imports">
<h3>1 Imports<a class="headerlink" href="#imports" title="Permalink to this headline"></a></h3>
<p>Start by importing both the python-awips specific library, as well as
the libraries needed for plotting and manipulating the data</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">awips.dataaccess</span> <span class="kn">import</span> <span class="n">DataAccessLayer</span>
<span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">cartopy.mpl.gridliner</span> <span class="kn">import</span> <span class="n">LONGITUDE_FORMATTER</span><span class="p">,</span> <span class="n">LATITUDE_FORMATTER</span>
<span class="kn">from</span> <span class="nn">scipy.constants</span> <span class="kn">import</span> <span class="n">convert_temperature</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="define-data-request">
<h3>2 Define Data Request<a class="headerlink" href="#define-data-request" title="Permalink to this headline"></a></h3>
<p>If you read through the <a class="reference external" href="https://nbviewer.jupyter.org/github/Unidata/pyaos-ams-2021/blob/master/notebooks/dataAccess/python-awips-HowToAccessData.ipynb">python-awips: How to Access
Data</a>
training, you will know that we need to set an EDEX url to access our
server, and then we create a data request. In this example we use <em>grid</em>
as the data type to define our request. In addition to setting the data
type, the location, parameters and levels are also set as <strong>RAP13</strong>,
<strong>T</strong> (for temperature), and <strong>2.0FHAG</strong> (for Fixed Height Above Ground
in meters), respectively.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">changeEDEXHost</span><span class="p">(</span><span class="s2">&quot;edex-cloud.unidata.ucar.edu&quot;</span><span class="p">)</span>
<span class="n">request</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">newDataRequest</span><span class="p">()</span>
<span class="n">request</span><span class="o">.</span><span class="n">setDatatype</span><span class="p">(</span><span class="s2">&quot;grid&quot;</span><span class="p">)</span>
<span class="n">request</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="s2">&quot;RAP13&quot;</span><span class="p">)</span>
<span class="n">request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s2">&quot;T&quot;</span><span class="p">)</span>
<span class="n">request</span><span class="o">.</span><span class="n">setLevels</span><span class="p">(</span><span class="s2">&quot;2.0FHAG&quot;</span><span class="p">)</span>
<span class="c1"># Take a look at our request</span>
<span class="nb">print</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">DefaultDataRequest</span><span class="p">(</span><span class="n">datatype</span><span class="o">=</span><span class="n">grid</span><span class="p">,</span> <span class="n">identifiers</span><span class="o">=</span><span class="p">{},</span> <span class="n">parameters</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;T&#39;</span><span class="p">],</span> <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="o">&lt;</span><span class="n">dynamicserialize</span><span class="o">.</span><span class="n">dstypes</span><span class="o">.</span><span class="n">com</span><span class="o">.</span><span class="n">raytheon</span><span class="o">.</span><span class="n">uf</span><span class="o">.</span><span class="n">common</span><span class="o">.</span><span class="n">dataplugin</span><span class="o">.</span><span class="n">level</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">Level</span> <span class="nb">object</span> <span class="n">at</span> <span class="mh">0x11127bfd0</span><span class="o">&gt;</span><span class="p">],</span> <span class="n">locationNames</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;RAP13&#39;</span><span class="p">],</span> <span class="n">envelope</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="limit-results-based-on-time">
<h3>3 Limit Results Based on Time<a class="headerlink" href="#limit-results-based-on-time" title="Permalink to this headline"></a></h3>
<p>Models produce many different time variants during their runs, so let’s
limit the data to the most recent time and forecast run.</p>
<blockquote>
<div><p><strong>Note</strong>: You can play around with different times and forecast runs
to see the differences.</p>
</div></blockquote>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cycles</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">times</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
<span class="n">fcstRun</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getForecastRun</span><span class="p">(</span><span class="n">cycles</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">times</span><span class="p">)</span>
<span class="c1"># Get the most recent grid data</span>
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGridData</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="p">[</span><span class="n">fcstRun</span><span class="p">[</span><span class="mi">0</span><span class="p">]])</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Number of available times:&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">times</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Number of available forecast runs:&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">fcstRun</span><span class="p">))</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Number</span> <span class="n">of</span> <span class="n">available</span> <span class="n">times</span><span class="p">:</span> <span class="mi">74</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">available</span> <span class="n">forecast</span> <span class="n">runs</span><span class="p">:</span> <span class="mi">8</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="function-make-map">
<h3>4 Function: make_map()<a class="headerlink" href="#function-make-map" title="Permalink to this headline"></a></h3>
<p>In order to plot more than one image, it’s easiest to define common
logic in a function. Here, a new function called <strong>make_map</strong> is
defined. This function uses the <a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html">matplotlib.pyplot package
(plt)</a>
to create a figure and axis. The coastlines (continental boundaries) are
added, along with lat/lon grids.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">()):</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span> <span class="mi">9</span><span class="p">),</span>
<span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_extent</span><span class="p">(</span><span class="n">bbox</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">(</span><span class="n">resolution</span><span class="o">=</span><span class="s1">&#39;50m&#39;</span><span class="p">)</span>
<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">gl</span><span class="o">.</span><span class="n">top_labels</span> <span class="o">=</span> <span class="n">gl</span><span class="o">.</span><span class="n">right_labels</span> <span class="o">=</span> <span class="kc">False</span>
<span class="n">gl</span><span class="o">.</span><span class="n">xformatter</span> <span class="o">=</span> <span class="n">LONGITUDE_FORMATTER</span>
<span class="n">gl</span><span class="o">.</span><span class="n">yformatter</span> <span class="o">=</span> <span class="n">LATITUDE_FORMATTER</span>
<span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="use-the-grid-data">
<h3>5 Use the Grid Data!<a class="headerlink" href="#use-the-grid-data" title="Permalink to this headline"></a></h3>
<p>Here we get our grid data object from our previous response, and then
get the raw data array off that object. We also get the latitude and
longitude arrays, and create a bounding box that we’ll use when creating
our plots (by calling <strong>make_map</strong> defined above). Finally, we’ll
convert our data from degrees Kelvin to Farenheit to make the plot more
understandable.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">grid</span> <span class="o">=</span> <span class="n">response</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
<span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getLatLonCoords</span><span class="p">()</span>
<span class="n">bbox</span> <span class="o">=</span> <span class="p">[</span><span class="n">lons</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lons</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">max</span><span class="p">()]</span>
<span class="c1"># Convert temp from Kelvin to F</span>
<span class="n">destUnit</span> <span class="o">=</span> <span class="s1">&#39;F&#39;</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">convert_temperature</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;K&#39;</span><span class="p">,</span> <span class="n">destUnit</span><span class="p">)</span>
</pre></div>
</div>
<section id="plot-using-pcolormesh">
<h4>5.1 Plot Using pcolormesh<a class="headerlink" href="#plot-using-pcolormesh" title="Permalink to this headline"></a></h4>
<p>This example shows how to use
<a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.pcolormesh.html">matplotlib.pyplot.pcolormesh</a>
to create a colorized plot. We use our <strong>make_map</strong> function to create a
subplot and then we create a color scale (cs) and colorbar (cbar) with a
label for our plot.</p>
<blockquote>
<div><p><strong>Note</strong>: You may see a warning appear with a red background, this is
okay, and will go away with subsequent runs of the cell.</p>
</div></blockquote>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cmap</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">get_cmap</span><span class="p">(</span><span class="s1">&#39;rainbow&#39;</span><span class="p">)</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">bbox</span><span class="p">)</span>
<span class="n">cs</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">)</span>
<span class="n">cbar</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;horizontal&#39;</span><span class="p">)</span>
<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span><span class="s2">&quot; &quot;</span><span class="o">+</span> <span class="n">grid</span><span class="o">.</span><span class="n">getLevel</span><span class="p">()</span> <span class="o">+</span> <span class="s2">&quot; &quot;</span> \
<span class="o">+</span> <span class="n">grid</span><span class="o">.</span><span class="n">getParameter</span><span class="p">()</span> <span class="o">+</span> <span class="s2">&quot; (&quot;</span> <span class="o">+</span> <span class="n">destUnit</span> <span class="o">+</span> <span class="s2">&quot;) &quot;</span> \
<span class="o">+</span> <span class="s2">&quot;valid &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">/</span><span class="n">Users</span><span class="o">/</span><span class="n">scarter</span><span class="o">/</span><span class="n">opt</span><span class="o">/</span><span class="n">miniconda3</span><span class="o">/</span><span class="n">envs</span><span class="o">/</span><span class="n">python3</span><span class="o">-</span><span class="n">awips</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python3</span><span class="mf">.9</span><span class="o">/</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="o">/</span><span class="n">cartopy</span><span class="o">/</span><span class="n">mpl</span><span class="o">/</span><span class="n">geoaxes</span><span class="o">.</span><span class="n">py</span><span class="p">:</span><span class="mi">1598</span><span class="p">:</span> <span class="ne">UserWarning</span><span class="p">:</span> <span class="n">The</span> <span class="nb">input</span> <span class="n">coordinates</span> <span class="n">to</span> <span class="n">pcolormesh</span> <span class="n">are</span> <span class="n">interpreted</span> <span class="k">as</span> <span class="n">cell</span> <span class="n">centers</span><span class="p">,</span> <span class="n">but</span> <span class="n">are</span> <span class="ow">not</span> <span class="n">monotonically</span> <span class="n">increasing</span> <span class="ow">or</span> <span class="n">decreasing</span><span class="o">.</span> <span class="n">This</span> <span class="n">may</span> <span class="n">lead</span> <span class="n">to</span> <span class="n">incorrectly</span> <span class="n">calculated</span> <span class="n">cell</span> <span class="n">edges</span><span class="p">,</span> <span class="ow">in</span> <span class="n">which</span> <span class="n">case</span><span class="p">,</span> <span class="n">please</span> <span class="n">supply</span> <span class="n">explicit</span> <span class="n">cell</span> <span class="n">edges</span> <span class="n">to</span> <span class="n">pcolormesh</span><span class="o">.</span>
<span class="n">X</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">C</span><span class="p">,</span> <span class="n">shading</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pcolorargs</span><span class="p">(</span><span class="s1">&#39;pcolormesh&#39;</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span>
</pre></div>
</div>
<img alt="../../_images/Grids_and_Cartopy_21_1.png" src="../../_images/Grids_and_Cartopy_21_1.png" />
</section>
<section id="plot-using-contourf">
<h4>5.2 Plot Using contourf<a class="headerlink" href="#plot-using-contourf" title="Permalink to this headline"></a></h4>
<p>This example shows how to use
<a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.contourf.html">matplotlib.pyplot.contourf</a>
to create a colorized plot. We use our <strong>make_map</strong> function to create a
subplot and then we create a color scale (cs2) and colorbar (cbar2) with
a label for our plot.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig2</span><span class="p">,</span> <span class="n">ax2</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">bbox</span><span class="p">)</span>
<span class="n">cs2</span> <span class="o">=</span> <span class="n">ax2</span><span class="o">.</span><span class="n">contourf</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="mi">80</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">,</span>
<span class="n">vmin</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">vmax</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
<span class="n">cbar2</span> <span class="o">=</span> <span class="n">fig2</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs2</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;horizontal&#39;</span><span class="p">)</span>
<span class="n">cbar2</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span><span class="s2">&quot; &quot;</span><span class="o">+</span> <span class="n">grid</span><span class="o">.</span><span class="n">getLevel</span><span class="p">()</span> <span class="o">+</span> <span class="s2">&quot; &quot;</span> \
<span class="o">+</span> <span class="n">grid</span><span class="o">.</span><span class="n">getParameter</span><span class="p">()</span> <span class="o">+</span> <span class="s2">&quot; (&quot;</span> <span class="o">+</span> <span class="n">destUnit</span> <span class="o">+</span> <span class="s2">&quot;) &quot;</span> \
<span class="o">+</span> <span class="s2">&quot;valid &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
</pre></div>
</div>
<img alt="../../_images/Grids_and_Cartopy_23_0.png" src="../../_images/Grids_and_Cartopy_23_0.png" />
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html">Top</a></p>
</section>
</section>
<hr class="docutils" />
<section id="see-also">
<h3>6 See Also<a class="headerlink" href="#see-also" title="Permalink to this headline"></a></h3>
<section id="related-notebooks">
<h4>6.1 Related Notebooks<a class="headerlink" href="#related-notebooks" title="Permalink to this headline"></a></h4>
<ul class="simple">
<li><p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html">Grid Levels and
Parameters</a></p></li>
</ul>
</section>
<section id="additional-documentation">
<h4>6.2 Additional Documentation<a class="headerlink" href="#additional-documentation" title="Permalink to this headline"></a></h4>
<p><strong>python-awips:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/DataAccessLayer.html">awips.DataAccessLayer</a></p></li>
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/PyGridData.html">awips.PyGridData</a></p></li>
</ul>
<p><strong>matplotlib:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html">matplotlib.pyplot</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.subplot.html">matplotlib.pyplot.subplot</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.pcolormesh.html">matplotlib.pyplot.pcolormesh</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.contourf.html">matplotlib.pyplot.contourf</a></p></li>
</ul>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grids_and_Cartopy.html">Top</a></p>
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