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_sources/examples/generated/Colored_Surface_Temperature_Plot.rst.txt
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@ -2,9 +2,53 @@
Colored Surface Temperature Plot
================================
`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Colored_Surface_Temperature_Plot.ipynb>`_
This exercise creates a colored temperature plot for North America using
AWIPS METAR observations (datatype *obs*), similar to existing products
in GEMPAK and CAVE.
Python-AWIPS Tutorial Notebook
--------------
Objectives
==========
- Use python-awips to connect to an edex server
- Define and filter data request for METAR surface obs
- Define a color threshold and use it to plot a useful map
- Create a product similar to existing products in GEMPAK and CAVE
--------------
Table of Contents
-----------------
| `1
Imports <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#imports>`__\
| `2 Initial
Setup <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.ipynb#Initial-Setup>`__\
|     `2.1 Geographic
Filter <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#geographic-filter>`__\
|     `2.2 EDEX
Connnection <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#edex-connection>`__\
| `3 Filter by
Time <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#filter-by-time>`__\
| `4 Access and Convert Temp
Data <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot#access-and-convert-temp-data>`__\
| `5 Define Temperature
Thresholds <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#define-temperature-thresholds>`__\
| `6 Plot the
Data! <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#plot-the-data>`__\
| `7 See
Also <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#see-also>`__\
|     `7.1 Additional
Documentation <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#additional-documentation>`__\
--------------
1 Imports
---------
The imports below are used throughout the notebook. Note the first
import is coming directly from python-awips and allows us to connect to
an EDEX server. The subsequent imports are for data manipulation and
visualization.
.. code:: ipython3
@ -17,7 +61,21 @@ in GEMPAK and CAVE.
import matplotlib.pyplot as plt
from shapely.geometry import Polygon
from metpy.plots import StationPlot
%matplotlib inline
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
--------------
2 Initial Setup
---------------
2.1 Geographic Filter
~~~~~~~~~~~~~~~~~~~~~
By defining a bounding box for the Continental US (CONUS), we’re able to
optimize the data request sent to the EDEX server.
.. code:: ipython3
# CONUS bounding box and envelope geometry
bbox=[-120, -70, 15, 55]
@ -25,6 +83,17 @@ in GEMPAK and CAVE.
(bbox[1], bbox[3]),(bbox[1],bbox[2]),
(bbox[0],bbox[2])])
2.2 EDEX Connection
~~~~~~~~~~~~~~~~~~~
First we establish a connection to Unidata’s public EDEX server. With
that connection made, we can create a `new data request
object <http://unidata.github.io/python-awips/api/IDataRequest.html>`__
and set the data type to **obs**, and use the geographic **envelope** we
just created.
.. code:: ipython3
# New obs request
edexServer = "edex-cloud.unidata.ucar.edu"
DataAccessLayer.changeEDEXHost(edexServer)
@ -32,6 +101,19 @@ in GEMPAK and CAVE.
params = ["temperature", "longitude", "latitude", "stationName"]
request.setParameters(*(params))
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
--------------
3 Filter by Time
----------------
We then want to limit our results based on time, so we create a time
range for the last 15 minutes, and then send the request to the EDEX
server to get our results, which are kept in the **obs** variable.
.. code:: ipython3
# Get records from the last 15 minutes
lastHourDateTime = datetime.utcnow() - timedelta(minutes = 15)
start = lastHourDateTime.strftime('%Y-%m-%d %H:%M:%S')
@ -44,13 +126,55 @@ in GEMPAK and CAVE.
response = DataAccessLayer.getGeometryData(request,timerange)
obs = DataAccessLayer.getMetarObs(response)
lats = obs['latitude']
lons = obs['longitude']
print("Found " + str(len(response)) + " total records")
print("Using " + str(len(obs['temperature'])) + " temperature records")
# Create a station plot pointing to an Axes to draw on as well as the location of points
lats = obs['latitude']
lons = obs['longitude']
.. parsed-literal::
Found 1878 total records
Using 1874 temperature records
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
--------------
4 Access and Convert Temp Data
------------------------------
We access the *temperature* data from the **obs** variable which is
stored in degrees Celsius (°C). To make it more relatable, we then
convert the data to degrees Fahreheit (°F)
.. code:: ipython3
# # Suppress nan masking warnings
warnings.filterwarnings("ignore",category =RuntimeWarning)
# get all temperature values and convert them from °C to °F
tair = np.array(obs['temperature'], dtype=float)
tair[tair == -9999.0] = 'nan'
tair = (tair*1.8)+32
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
--------------
5 Define Temperature Thresholds
-------------------------------
In order to distinguish the temperatures, we’ll create a color map to
separate the values into different colors. This mapping will be used
when plotting the temperature values on the map of the United States.
**Tip:** Try playing around with the color ranges and see how that
affects the final plot.
.. code:: ipython3
thresholds = {
'15': 'purple',
@ -63,19 +187,27 @@ in GEMPAK and CAVE.
'85': 'red'
}
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
--------------
6 Plot the Data!
----------------
Here we create a plot and cycle through all the values from our color
mapping. For each segement of our color mapping, mask the temperature
values to only include the relevent temperatures and draw those on the
plot. Do this for every segment of the color mapping to produce the
final, colored figure.
.. code:: ipython3
fig, ax = plt.subplots(figsize=(16,12),subplot_kw=dict(projection=ccrs.LambertConformal()))
ax.set_extent(bbox)
ax.coastlines(resolution='50m')
ax.set_title(str(response[-1].getDataTime()) + " | Surface Temps (degF) | " + edexServer)
# Suppress nan masking warnings
warnings.filterwarnings("ignore",category =RuntimeWarning)
# get all temperature values and convert them from C to F
tair = np.array(obs['temperature'], dtype=float)
tair[tair == -9999.0] = 'nan'
tair = (tair*1.8)+32
# get the temperature limit (x) and color (value)
for x, value in thresholds.items():
# create a new temperature value array
subtair = tair.copy()
@ -96,13 +228,30 @@ in GEMPAK and CAVE.
.. parsed-literal::
Found 921 total records
Using 911 temperature records
.. image:: Colored_Surface_Temperature_Plot_files/Colored_Surface_Temperature_Plot_23_0.png
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
.. image:: Colored_Surface_Temperature_Plot_files/Colored_Surface_Temperature_Plot_1_1.png
--------------
7 See Also
----------
71. Additional Documention
~~~~~~~~~~~~~~~~~~~~~~~~~~
**python-awips**
- `DataAccessLayer.changeEDEXHost() <http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.changeEDEXHost>`__
- `DataAccessLayer.newDataRequest() <http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.newDataRequest>`__
**matplotlib**
- `matplotlib.pyplot() <https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html>`__
- `matplotlib.pyplot.axes() <https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html>`__
- `matplotlib.pyplot.figure() <https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html>`__
`Top <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
--------------

200
examples/generated/Colored_Surface_Temperature_Plot.html
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@ -45,7 +45,20 @@
<li class="toctree-l1"><a class="reference internal" href="../../api/index.html">API Documentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../datatypes.html">Available Data Types</a></li>
<li class="toctree-l1 current"><a class="reference internal" href="../index.html">Data Plotting Examples</a><ul class="current">
<li class="toctree-l2 current"><a class="current reference internal" href="#">Colored Surface Temperature Plot</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">Colored Surface Temperature Plot</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#objectives">Objectives</a><ul>
<li class="toctree-l4"><a class="reference internal" href="#table-of-contents">Table of Contents</a></li>
<li class="toctree-l4"><a class="reference internal" href="#imports">1 Imports</a></li>
<li class="toctree-l4"><a class="reference internal" href="#initial-setup">2 Initial Setup</a></li>
<li class="toctree-l4"><a class="reference internal" href="#filter-by-time">3 Filter by Time</a></li>
<li class="toctree-l4"><a class="reference internal" href="#access-and-convert-temp-data">4 Access and Convert Temp Data</a></li>
<li class="toctree-l4"><a class="reference internal" href="#define-temperature-thresholds">5 Define Temperature Thresholds</a></li>
<li class="toctree-l4"><a class="reference internal" href="#plot-the-data">6 Plot the Data!</a></li>
<li class="toctree-l4"><a class="reference internal" href="#see-also">7 See Also</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li>
<li class="toctree-l2"><a class="reference internal" href="GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li>
<li class="toctree-l2"><a class="reference internal" href="GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
@ -95,9 +108,49 @@
<section id="colored-surface-temperature-plot">
<h1>Colored Surface Temperature Plot<a class="headerlink" href="#colored-surface-temperature-plot" 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/Colored_Surface_Temperature_Plot.ipynb">Notebook</a>
This exercise creates a colored temperature plot for North America using
AWIPS METAR observations (datatype <em>obs</em>), similar to existing products
in GEMPAK and CAVE.</p>
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>Use python-awips to connect to an edex server</p></li>
<li><p>Define and filter data request for METAR surface obs</p></li>
<li><p>Define a color threshold and use it to plot a useful map</p></li>
<li><p>Create a product similar to existing products in GEMPAK and CAVE</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/Colored_Surface_Temperature_Plot.html#imports">1
Imports</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.ipynb#Initial-Setup">2 Initial
Setup</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#geographic-filter">2.1 Geographic
Filter</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#edex-connection">2.2 EDEX
Connnection</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#filter-by-time">3 Filter by
Time</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot#access-and-convert-temp-data">4 Access and Convert Temp
Data</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#define-temperature-thresholds">5 Define Temperature
Thresholds</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#plot-the-data">6 Plot the
Data!</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#see-also">7 See
Also</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#additional-documentation">7.1 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>The imports below are used throughout the notebook. Note the first
import is coming directly from python-awips and allows us to connect to
an EDEX server. The subsequent imports are for data manipulation and
visualization.</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">from</span> <span class="nn">dynamicserialize.dstypes.com.raytheon.uf.common.time</span> <span class="kn">import</span> <span class="n">TimeRange</span>
<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span>
@ -107,22 +160,50 @@ in GEMPAK and CAVE.</p>
<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">shapely.geometry</span> <span class="kn">import</span> <span class="n">Polygon</span>
<span class="kn">from</span> <span class="nn">metpy.plots</span> <span class="kn">import</span> <span class="n">StationPlot</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="c1"># CONUS bounding box and envelope geometry</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="initial-setup">
<h3>2 Initial Setup<a class="headerlink" href="#initial-setup" title="Permalink to this headline"></a></h3>
<section id="geographic-filter">
<h4>2.1 Geographic Filter<a class="headerlink" href="#geographic-filter" title="Permalink to this headline"></a></h4>
<p>By defining a bounding box for the Continental US (CONUS), we’re able to
optimize the data request sent to the EDEX server.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># CONUS bounding box and envelope geometry</span>
<span class="n">bbox</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">120</span><span class="p">,</span> <span class="o">-</span><span class="mi">70</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">55</span><span class="p">]</span>
<span class="n">envelope</span> <span class="o">=</span> <span class="n">Polygon</span><span class="p">([(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">3</span><span class="p">]),</span>
<span class="p">(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">bbox</span><span class="p">[</span><span class="mi">3</span><span class="p">]),(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span>
<span class="p">(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
<span class="c1"># New obs request</span>
</pre></div>
</div>
</section>
<section id="edex-connection">
<h4>2.2 EDEX Connection<a class="headerlink" href="#edex-connection" title="Permalink to this headline"></a></h4>
<p>First we establish a connection to Unidata’s public EDEX server. With
that connection made, we can create a <a class="reference external" href="http://unidata.github.io/python-awips/api/IDataRequest.html">new data request
object</a>
and set the data type to <strong>obs</strong>, and use the geographic <strong>envelope</strong> we
just created.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># New obs request</span>
<span class="n">edexServer</span> <span class="o">=</span> <span class="s2">&quot;edex-cloud.unidata.ucar.edu&quot;</span>
<span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">changeEDEXHost</span><span class="p">(</span><span class="n">edexServer</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="s2">&quot;obs&quot;</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">envelope</span><span class="p">)</span>
<span class="n">params</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;temperature&quot;</span><span class="p">,</span> <span class="s2">&quot;longitude&quot;</span><span class="p">,</span> <span class="s2">&quot;latitude&quot;</span><span class="p">,</span> <span class="s2">&quot;stationName&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="o">*</span><span class="p">(</span><span class="n">params</span><span class="p">))</span>
<span class="c1"># Get records from the last 15 minutes</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
</section>
</section>
<hr class="docutils" />
<section id="filter-by-time">
<h3>3 Filter by Time<a class="headerlink" href="#filter-by-time" title="Permalink to this headline"></a></h3>
<p>We then want to limit our results based on time, so we create a time
range for the last 15 minutes, and then send the request to the EDEX
server to get our results, which are kept in the <strong>obs</strong> variable.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Get records from the last 15 minutes</span>
<span class="n">lastHourDateTime</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span> <span class="o">-</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span> <span class="o">=</span> <span class="mi">15</span><span class="p">)</span>
<span class="n">start</span> <span class="o">=</span> <span class="n">lastHourDateTime</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S&#39;</span><span class="p">)</span>
<span class="n">end</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S&#39;</span><span class="p">)</span>
@ -134,15 +215,47 @@ in GEMPAK and CAVE.</p>
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGeometryData</span><span class="p">(</span><span class="n">request</span><span class="p">,</span><span class="n">timerange</span><span class="p">)</span>
<span class="n">obs</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getMetarObs</span><span class="p">(</span><span class="n">response</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Found &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">response</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot; total records&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Using &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">]))</span> <span class="o">+</span> <span class="s2">&quot; temperature records&quot;</span><span class="p">)</span>
<span class="c1"># Create a station plot pointing to an Axes to draw on as well as the location of points</span>
<span class="n">lats</span> <span class="o">=</span> <span class="n">obs</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</span>
<span class="n">lons</span> <span class="o">=</span> <span class="n">obs</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">]</span>
<span class="n">thresholds</span> <span class="o">=</span> <span class="p">{</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Found &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">response</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot; total records&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Using &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">]))</span> <span class="o">+</span> <span class="s2">&quot; temperature records&quot;</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Found</span> <span class="mi">1878</span> <span class="n">total</span> <span class="n">records</span>
<span class="n">Using</span> <span class="mi">1874</span> <span class="n">temperature</span> <span class="n">records</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="access-and-convert-temp-data">
<h3>4 Access and Convert Temp Data<a class="headerlink" href="#access-and-convert-temp-data" title="Permalink to this headline"></a></h3>
<p>We access the <em>temperature</em> data from the <strong>obs</strong> variable which is
stored in degrees Celsius (°C). To make it more relatable, we then
convert the data to degrees Fahreheit (°F)</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># # Suppress nan masking warnings</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s2">&quot;ignore&quot;</span><span class="p">,</span><span class="n">category</span> <span class="o">=</span><span class="ne">RuntimeWarning</span><span class="p">)</span>
<span class="c1"># get all temperature values and convert them from °C to °F</span>
<span class="n">tair</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">float</span><span class="p">)</span>
<span class="n">tair</span><span class="p">[</span><span class="n">tair</span> <span class="o">==</span> <span class="o">-</span><span class="mf">9999.0</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;nan&#39;</span>
<span class="n">tair</span> <span class="o">=</span> <span class="p">(</span><span class="n">tair</span><span class="o">*</span><span class="mf">1.8</span><span class="p">)</span><span class="o">+</span><span class="mi">32</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="define-temperature-thresholds">
<h3>5 Define Temperature Thresholds<a class="headerlink" href="#define-temperature-thresholds" title="Permalink to this headline"></a></h3>
<p>In order to distinguish the temperatures, we’ll create a color map to
separate the values into different colors. This mapping will be used
when plotting the temperature values on the map of the United States.</p>
<blockquote>
<div><p><strong>Tip:</strong> Try playing around with the color ranges and see how that
affects the final plot.</p>
</div></blockquote>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">thresholds</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;15&#39;</span><span class="p">:</span> <span class="s1">&#39;purple&#39;</span><span class="p">,</span>
<span class="s1">&#39;25&#39;</span><span class="p">:</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span>
<span class="s1">&#39;35&#39;</span><span class="p">:</span> <span class="s1">&#39;royalblue&#39;</span><span class="p">,</span>
@ -152,20 +265,24 @@ in GEMPAK and CAVE.</p>
<span class="s1">&#39;75&#39;</span><span class="p">:</span> <span class="s1">&#39;orange&#39;</span><span class="p">,</span>
<span class="s1">&#39;85&#39;</span><span class="p">:</span> <span class="s1">&#39;red&#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">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">12</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">ccrs</span><span class="o">.</span><span class="n">LambertConformal</span><span class="p">()))</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="plot-the-data">
<h3>6 Plot the Data!<a class="headerlink" href="#plot-the-data" title="Permalink to this headline"></a></h3>
<p>Here we create a plot and cycle through all the values from our color
mapping. For each segement of our color mapping, mask the temperature
values to only include the relevent temperatures and draw those on the
plot. Do this for every segment of the color mapping to produce the
final, colored figure.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></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">12</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">ccrs</span><span class="o">.</span><span class="n">LambertConformal</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">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">response</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span> <span class="o">+</span> <span class="s2">&quot; | Surface Temps (degF) | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span><span class="p">)</span>
<span class="c1"># Suppress nan masking warnings</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s2">&quot;ignore&quot;</span><span class="p">,</span><span class="n">category</span> <span class="o">=</span><span class="ne">RuntimeWarning</span><span class="p">)</span>
<span class="c1"># get all temperature values and convert them from C to F</span>
<span class="n">tair</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">float</span><span class="p">)</span>
<span class="n">tair</span><span class="p">[</span><span class="n">tair</span> <span class="o">==</span> <span class="o">-</span><span class="mf">9999.0</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;nan&#39;</span>
<span class="n">tair</span> <span class="o">=</span> <span class="p">(</span><span class="n">tair</span><span class="o">*</span><span class="mf">1.8</span><span class="p">)</span><span class="o">+</span><span class="mi">32</span>
<span class="c1"># get the temperature limit (x) and color (value)</span>
<span class="k">for</span> <span class="n">x</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">thresholds</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="c1"># create a new temperature value array</span>
<span class="n">subtair</span> <span class="o">=</span> <span class="n">tair</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
@ -184,11 +301,30 @@ in GEMPAK and CAVE.</p>
<span class="n">stationplot</span><span class="o">.</span><span class="n">plot_parameter</span><span class="p">(</span><span class="s1">&#39;C&#39;</span><span class="p">,</span> <span class="n">subtair</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">value</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Found</span> <span class="mi">921</span> <span class="n">total</span> <span class="n">records</span>
<span class="n">Using</span> <span class="mi">911</span> <span class="n">temperature</span> <span class="n">records</span>
</pre></div>
</div>
<img alt="../../_images/Colored_Surface_Temperature_Plot_1_1.png" src="../../_images/Colored_Surface_Temperature_Plot_1_1.png" />
<img alt="../../_images/Colored_Surface_Temperature_Plot_23_0.png" src="../../_images/Colored_Surface_Temperature_Plot_23_0.png" />
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="see-also">
<h3>7 See Also<a class="headerlink" href="#see-also" title="Permalink to this headline"></a></h3>
<section id="additional-documention">
<h4>71. Additional Documention<a class="headerlink" href="#additional-documention" 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.dataaccess.DataAccessLayer.changeEDEXHost">DataAccessLayer.changeEDEXHost()</a></p></li>
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.newDataRequest">DataAccessLayer.newDataRequest()</a></p></li>
</ul>
<p><strong>matplotlib</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html">matplotlib.pyplot()</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html">matplotlib.pyplot.axes()</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html">matplotlib.pyplot.figure()</a></p></li>
</ul>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Top</a></p>
<hr class="docutils" />
</section>
</section>
</section>
</section>

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