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8
_sources/examples/generated/Upper_Air_BUFR_Soundings.rst.txt
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@ -39,7 +39,7 @@ Table of Contents
|     `2.4 Setting the Location |     `2.4 Setting the Location
Name <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#setting-the-location-name>`__\ Name <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#setting-the-location-name>`__\
| `3 Filtering by | `3 Filtering by
Time <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Sounding.html#filtering-by-time>`__\ Time <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#filtering-by-time>`__\
| `4 Get the | `4 Get the
Data! <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#get-the-data>`__\ Data! <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#get-the-data>`__\
| `5 Use the | `5 Use the
@ -106,7 +106,9 @@ and an identifier on the request.
Here we populate arrays of all the parameters that will be necessary for Here we populate arrays of all the parameters that will be necessary for
plotting the Skew-T. The ``MAN_PARAMS`` are the *mandatory levels* and plotting the Skew-T. The ``MAN_PARAMS`` are the *mandatory levels* and
the ``SIGT_PARAMS`` are the *significant temperature* parameters that the ``SIGT_PARAMS`` are the *significant temperature* parameters that
were both mentioned in the `objectives section <#Objectives>`__ above. were both mentioned in the `objectives
section <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#objectives>`__
above.
Also request the station name and ID to use in the figure title later Also request the station name and ID to use in the figure title later
on. on.
@ -221,7 +223,7 @@ help verify we received the data we were interested in.
Since we filtered on time, and requested the data in the previous cell, Since we filtered on time, and requested the data in the previous cell,
we now have a ``response`` object we can work with. we now have a ``response`` object we can work with.
5.1 Prepare data objects 5.1 Prepare Data objects
~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~
Here we construct arrays for each parameter to plot (temperature, Here we construct arrays for each parameter to plot (temperature,

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examples/generated/Upper_Air_BUFR_Soundings.html
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@ -145,7 +145,7 @@ Parameters</a></div>
Names</a></div> Names</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#setting-the-location-name">2.4 Setting the Location <div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#setting-the-location-name">2.4 Setting the Location
Name</a></div> Name</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Sounding.html#filtering-by-time">3 Filtering by <div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#filtering-by-time">3 Filtering by
Time</a></div> Time</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#get-the-data">4 Get the <div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#get-the-data">4 Get the
Data!</a></div> Data!</a></div>
@ -206,7 +206,9 @@ and an identifier on the request.</p>
<p>Here we populate arrays of all the parameters that will be necessary for <p>Here we populate arrays of all the parameters that will be necessary for
plotting the Skew-T. The <code class="docutils literal notranslate"><span class="pre">MAN_PARAMS</span></code> are the <em>mandatory levels</em> and plotting the Skew-T. The <code class="docutils literal notranslate"><span class="pre">MAN_PARAMS</span></code> are the <em>mandatory levels</em> and
the <code class="docutils literal notranslate"><span class="pre">SIGT_PARAMS</span></code> are the <em>significant temperature</em> parameters that the <code class="docutils literal notranslate"><span class="pre">SIGT_PARAMS</span></code> are the <em>significant temperature</em> parameters that
were both mentioned in the <a class="reference external" href="#Objectives">objectives section</a> above.</p> were both mentioned in the <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#objectives">objectives
section</a>
above.</p>
<p>Also request the station name and ID to use in the figure title later <p>Also request the station name and ID to use in the figure title later
on.</p> on.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">MAN_PARAMS</span> <span class="o">=</span> <span class="nb">set</span><span class="p">([</span><span class="s1">&#39;prMan&#39;</span><span class="p">,</span> <span class="s1">&#39;tpMan&#39;</span><span class="p">,</span> <span class="s1">&#39;tdMan&#39;</span><span class="p">,</span> <span class="s1">&#39;wdMan&#39;</span><span class="p">,</span> <span class="s1">&#39;wsMan&#39;</span><span class="p">])</span> <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">MAN_PARAMS</span> <span class="o">=</span> <span class="nb">set</span><span class="p">([</span><span class="s1">&#39;prMan&#39;</span><span class="p">,</span> <span class="s1">&#39;tpMan&#39;</span><span class="p">,</span> <span class="s1">&#39;tdMan&#39;</span><span class="p">,</span> <span class="s1">&#39;wdMan&#39;</span><span class="p">,</span> <span class="s1">&#39;wsMan&#39;</span><span class="p">])</span>
@ -297,7 +299,7 @@ help verify we received the data we were interested in.</p>
<p>Since we filtered on time, and requested the data in the previous cell, <p>Since we filtered on time, and requested the data in the previous cell,
we now have a <code class="docutils literal notranslate"><span class="pre">response</span></code> object we can work with.</p> we now have a <code class="docutils literal notranslate"><span class="pre">response</span></code> object we can work with.</p>
<section id="prepare-data-objects"> <section id="prepare-data-objects">
<h4>5.1 Prepare data objects<a class="headerlink" href="#prepare-data-objects" title="Permalink to this heading"></a></h4> <h4>5.1 Prepare Data objects<a class="headerlink" href="#prepare-data-objects" title="Permalink to this heading"></a></h4>
<p>Here we construct arrays for each parameter to plot (temperature, <p>Here we construct arrays for each parameter to plot (temperature,
pressure, and wind components). After populating each of the arrays, we pressure, and wind components). After populating each of the arrays, we
sort and mask missing data.</p> sort and mask missing data.</p>

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