deploy: b271e54463

_sources/examples/generated/METAR_Station_Plot_with_MetPy.rst.txt

@@ -220,26 +220,29 @@ set all the remaining parameters.
     # define a dictionary and array that will be populated from our for loop below
     obs = dict({params: [] for params in params})
     station_names = []
+    time_title = ""
     
-    # only grab the first skyCover record related to a station 
+    # cycle through all the data in the response, in reverse order to get the most recent data first
-    new_station_id = True
+    for ob in reversed(response):
-    # cycle through all the data in the response
-    for ob in response:
         avail_params = ob.getParameters()
-        # if it has cloud information and is the first entry for this station id
+        #print(avail_params)
-        if "skyCover" in avail_params and new_station_id:
+        # if it has cloud information, we want the last of the 6 entries (most recent)
+        if "skyCover" in avail_params:
+            if i == 5:
                 # store the associated cloud cover int for the skyCover string
                 obs['skyCover'].append(get_cloud_cover(ob.getString("skyCover")))
-            new_station_id = False
+            i = i + 1
         elif "stationName" in avail_params:
-            new_station_id=True
             # If we already have a record for this stationName, skip
             if ob.getString('stationName') not in station_names:
                 station_names.append(ob.getString('stationName'))
+                i = 0
                 for param in single_value_params:            
                     if param in avail_params:
                         if param == 'timeObs':
                             obs[param].append(datetime.fromtimestamp(ob.getNumber(param)/1000.0))
+                            if time_title == "":
+                                time_title = str(ob.getDataTime())
                         else:
                             try:
                                 obs[param].append(ob.getNumber(param))
@@ -314,7 +317,7 @@ Finally, we display the plot!
     
     # Set plot bounds
     ax.set_extent((-118, -73, 23, 50))
-    ax.set_title(str(ob.getDataTime()) + " | METAR | " + edexServer)
+    ax.set_title(time_title + " | METAR | " + edexServer)
     
     # Winds, temps, dewpoint, station id
     custom_layout = StationPlotLayout()

_sources/examples/generated/METAR_main.rst.txt

@@ -0,0 +1,570 @@
+==========
+METAR main
+==========
+`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/METAR_main.ipynb>`_
+.. container::
+
+   .. container::
+
+   .. rubric:: METAR Staion Plot with MetPy
+      :name: metar-staion-plot-with-metpy
+
+   **Python-AWIPS Tutorial Notebook**
+
+   .. container::
+
+--------------
+
+.. container::
+
+Objectives
+==========
+
+-  Use python-awips to connect to an edex server
+-  Define and filter data request for METAR surface obs
+-  Extract necessary data and reformat it for plotting
+-  Stylize and plot METAR station data using Cartopy, Matplotlib, and
+   MetPy
+
+--------------
+
+.. raw:: html
+
+   <h1>
+
+Table of Contents
+
+.. raw:: html
+
+   </h1>
+
+.. container:: toc
+
+   .. raw:: html
+
+      <ul class="toc-item">
+
+   .. raw:: html
+
+      <li>
+
+   1  Imports
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   2  Function: get_cloud_cover()
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   3  Initial Setup
+
+   .. raw:: html
+
+      <ul class="toc-item">
+
+   .. raw:: html
+
+      <li>
+
+   3.1  Initial EDEX Connection
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   3.2  Setting Connection Location Names
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      </ul>
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   4  Filter by Time
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   5  Use the Data!
+
+   .. raw:: html
+
+      <ul class="toc-item">
+
+   .. raw:: html
+
+      <li>
+
+   5.1  Get the Data!
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   5.2  Extract all Parameters
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   5.3  Populate the Data Dictionary
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      </ul>
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   6  Plot the Data!
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   7  See Also
+
+   .. raw:: html
+
+      <ul class="toc-item">
+
+   .. raw:: html
+
+      <li>
+
+   7.1  Related Notebooks
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      <li>
+
+   7.2  Additional Documentation
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      </ul>
+
+   .. raw:: html
+
+      </li>
+
+   .. raw:: html
+
+      </ul>
+
+Imports
+-------
+
+The imports below are used throughout the notebook. Note the first two
+imports are coming directly from python-awips and allow us to connect to
+an EDEX server, and define a timrange used for filtering the data. The
+subsequent imports are for data manipulation and visualization.
+
+.. code:: ipython3
+
+    from awips.dataaccess import DataAccessLayer
+    from dynamicserialize.dstypes.com.raytheon.uf.common.time import TimeRange
+    from datetime import datetime, timedelta
+    import numpy as np
+    import cartopy.crs as ccrs
+    import cartopy.feature as cfeature
+    import matplotlib.pyplot as plt
+    from metpy.calc import wind_components
+    from metpy.plots import StationPlot, StationPlotLayout, sky_cover
+    from metpy.units import units
+
+Top
+
+--------------
+
+Function: get_cloud_cover()
+---------------------------
+
+Returns the cloud fraction values as integer codes (0 through 8).
+
+.. code:: ipython3
+
+    def get_cloud_cover(code):
+        if 'OVC' in code:
+            return 8
+        elif 'BKN' in code:
+            return 6
+        elif 'SCT' in code:
+            return 4
+        elif 'FEW' in code:
+            return 2
+        else:
+            return 0
+
+Top
+
+--------------
+
+Initial Setup
+-------------
+
+Initial 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**.
+
+Then, because we’re going to uses MetPy’s
+`StationPlot <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlot.html>`__
+and
+`StationPlotLayout <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html>`__
+we need to define several parameters, and then set them on the data
+request object.
+
+.. code:: ipython3
+
+    # EDEX Request
+    edexServer = "edex-cloud.unidata.ucar.edu"
+    DataAccessLayer.changeEDEXHost(edexServer)
+    request = DataAccessLayer.newDataRequest("obs")
+    
+    # define desired parameters
+    single_value_params = ["timeObs", "stationName", "longitude", "latitude", 
+                           "temperature", "dewpoint", "windDir",
+                           "windSpeed"]
+    multi_value_params = ["skyCover"]
+    
+    params = single_value_params + multi_value_params
+    
+    # set all parameters on the request
+    request.setParameters(*(params))
+
+Setting Connection Location Names
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+We are also going to define specific station IDs so that our plot is not
+too cluttered.
+
+.. code:: ipython3
+
+    # Define a list of station IDs to plot
+    selected = ['KPDX', 'KOKC', 'KICT', 'KGLD', 'KMEM', 'KBOS', 'KMIA', 'KMOB', 'KABQ', 'KPHX', 'KTTF',
+                'KORD', 'KBIL', 'KBIS', 'KCPR', 'KLAX', 'KATL', 'KMSP', 'KSLC', 'KDFW', 'KNYC', 'KPHL',
+                'KPIT', 'KIND', 'KOLY', 'KSYR', 'KLEX', 'KCHS', 'KTLH', 'KHOU', 'KGJT', 'KLBB', 'KLSV',
+                'KGRB', 'KCLT', 'KLNK', 'KDSM', 'KBOI', 'KFSD', 'KRAP', 'KRIC', 'KJAN', 'KHSV', 'KCRW',
+                'KSAT', 'KBUY', 'K0CO', 'KZPC', 'KVIH', 'KBDG', 'KMLF', 'KELY', 'KWMC', 'KOTH', 'KCAR',
+                'KLMT', 'KRDM', 'KPDT', 'KSEA', 'KUIL', 'KEPH', 'KPUW', 'KCOE', 'KMLP', 'KPIH', 'KIDA', 
+                'KMSO', 'KACV', 'KHLN', 'KBIL', 'KOLF', 'KRUT', 'KPSM', 'KJAX', 'KTPA', 'KSHV', 'KMSY',
+                'KELP', 'KRNO', 'KFAT', 'KSFO', 'KNYL', 'KBRO', 'KMRF', 'KDRT', 'KFAR', 'KBDE', 'KDLH',
+                'KHOT', 'KLBF', 'KFLG', 'KCLE', 'KUNV']
+    
+    # set the location names to the desired station IDs 
+    request.setLocationNames(*(selected))
+
+Top
+
+--------------
+
+Filter by Time
+--------------
+
+Here we decide how much data we want to pull from EDEX. By default we’ll
+request 1 hour, but that value can easily be modified by `adjusting the
+``timedelta(hours = 1)`` <https://docs.python.org/3/library/datetime.html#timedelta-objects>`__
+in line ``2``. The more data we request, the longer this section will
+take to run.
+
+.. code:: ipython3
+
+    # Time range
+    lastHourDateTime = datetime.utcnow() - timedelta(hours = 1)
+    start = lastHourDateTime.strftime('%Y-%m-%d %H')
+    beginRange = datetime.strptime( start + ":00:00", "%Y-%m-%d %H:%M:%S")
+    endRange = datetime.strptime( start + ":59:59", "%Y-%m-%d %H:%M:%S")
+    timerange = TimeRange(beginRange, endRange)
+
+Top
+
+--------------
+
+Use the Data!
+-------------
+
+Get the Data!
+~~~~~~~~~~~~~
+
+Now that we have our ``request`` and TimeRange ``timerange`` objects
+ready, we’re ready to get the data array from EDEX.
+
+.. code:: ipython3
+
+    # Get response
+    response = DataAccessLayer.getGeometryData(request,timerange)
+
+Extract all Parameters
+~~~~~~~~~~~~~~~~~~~~~~
+
+In this section we start gathering all the information we’ll need to
+properly display our data. First we create an empty dictionary and array
+to keep track of all data and unique station IDs. We also create a
+boolean to help us only grab the first entry for ``skyCover`` related to
+a station id.
+
+.. container:: alert-info
+
+   ::
+
+      <b>Note:</b>  The way the data responses are returned, we recieve many <code>skyCover</code> entries for each station ID, but we only want to keep track of the most recent one (first one returned).
+
+After defining these variables, we are ready to start looping through
+our response data. If the response is an entry of ``skyCover``, and this
+is a new station id, then set the skyCover value in the obs dictionary.
+If this is not a skyCover entry, then explicitly set the ``timeObs``
+variable (because we have to manipulate it slightly), and dynamically
+set all the remaining parameters.
+
+.. code:: ipython3
+
+    # define a dictionary and array that will be populated from our for loop below
+    obs = dict({params: [] for params in params})
+    station_names = []
+    time_title = ""
+    
+    # cycle through all the data in the response, in reverse order to get the most recent data first
+    for ob in reversed(response):
+        avail_params = ob.getParameters()
+        #print(avail_params)
+        # if it has cloud information, we want the last of the 6 entries (most recent)
+        if "skyCover" in avail_params:
+            if i == 5:
+                # store the associated cloud cover int for the skyCover string
+                obs['skyCover'].append(get_cloud_cover(ob.getString("skyCover")))
+            i = i + 1
+        elif "stationName" in avail_params:
+            # If we already have a record for this stationName, skip
+            if ob.getString('stationName') not in station_names:
+                station_names.append(ob.getString('stationName'))
+                i = 0
+                for param in single_value_params:            
+                    if param in avail_params:
+                        if param == 'timeObs':
+                            obs[param].append(datetime.fromtimestamp(ob.getNumber(param)/1000.0))
+                            if time_title == "":
+                                time_title = str(ob.getDataTime())
+                        else:
+                            try:
+                                obs[param].append(ob.getNumber(param))
+                            except TypeError:
+                                obs[param].append(ob.getString(param))
+                    else:
+                        obs[param].append(None)
+
+Populate the Data Dictionary
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Next grab the variables out of the obs dictionary we just populated,
+attach correct units, (calculate their components, in the instance of
+wind) and put them into a new dictionary that we will hand the plotting
+function later.
+
+.. code:: ipython3
+
+    data = dict()
+    data['stid'] = np.array(obs['stationName'])
+    data['latitude']  = np.array(obs['latitude'])
+    data['longitude'] = np.array(obs['longitude'])
+    data['air_temperature'] = np.array(obs['temperature'], dtype=float)* units.degC
+    data['dew_point_temperature'] = np.array(obs['dewpoint'], dtype=float)* units.degC
+    
+    direction = np.array(obs['windDir'])
+    direction[direction == -9999.0] = 'nan'
+    
+    u, v = wind_components(np.array(obs['windSpeed']) * units('knots'),
+                               direction * units.degree)
+    data['eastward_wind'], data['northward_wind'] = u, v
+    data['cloud_coverage'] = np.array(obs['skyCover'])
+
+Top
+
+--------------
+
+Plot the Data!
+--------------
+
+Now we have all the data we need to create our plot! First we’ll assign
+a projection and create our figure and axes.
+
+Next, we use Cartopy to add common features (land, ocean, lakes,
+borders, etc) to help give us a more contextual map of the United States
+to plot the METAR stations on. We create and add a title for our figure
+as well.
+
+Additionally, we use `MetPy’s
+StationPlotLayout <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html>`__
+to instantiate a custom layout and define all the attributes we want
+displayed. We need to then set the data dictionary (containing all of
+our data values) on the custom layout so it knows what to draw.
+
+Finally, we display the plot!
+
+.. code:: ipython3
+
+    proj = ccrs.LambertConformal(central_longitude=-95, central_latitude=35,
+                                 standard_parallels=[35])
+    # Create the figure
+    fig = plt.figure(figsize=(20, 10))
+    ax = fig.add_subplot(1, 1, 1, projection=proj)
+    
+    # Add various map elements
+    ax.add_feature(cfeature.LAND)
+    ax.add_feature(cfeature.OCEAN)
+    ax.add_feature(cfeature.LAKES)
+    ax.add_feature(cfeature.COASTLINE)
+    ax.add_feature(cfeature.STATES)
+    ax.add_feature(cfeature.BORDERS, linewidth=2)
+    
+    # Set plot bounds
+    ax.set_extent((-118, -73, 23, 50))
+    ax.set_title(time_title + " | METAR | " + edexServer)
+    
+    # Winds, temps, dewpoint, station id
+    custom_layout = StationPlotLayout()
+    custom_layout.add_barb('eastward_wind', 'northward_wind', units='knots')
+    custom_layout.add_value('NW', 'air_temperature', fmt='.0f', units='degF', color='darkred')
+    custom_layout.add_value('SW', 'dew_point_temperature', fmt='.0f', units='degF', color='darkgreen')
+    custom_layout.add_symbol('C', 'cloud_coverage', sky_cover)
+    
+    stationplot = StationPlot(ax, data['longitude'], data['latitude'], clip_on=True,
+                              transform=ccrs.PlateCarree(), fontsize=10)
+    stationplot.plot_text((2, 0), data['stid'])
+    custom_layout.plot(stationplot, data)
+    
+    plt.show()
+
+
+
+.. image:: METAR_main_files/METAR_main_25_0.png
+
+
+Top
+
+--------------
+
+See Also
+--------
+
+-  `Aviation Weather Center Static METAR Plots
+   Information <https://www.aviationweather.gov/metar/help?page=plot>`__
+
+Related Notebooks
+~~~~~~~~~~~~~~~~~
+
+-  `Grid Levels and
+   Parameters <http://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html>`__
+-  `Colored Surface Temperature
+   Plot <http://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html>`__
+
+Additional Documentation
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+**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>`__
+-  `IDataRequest <http://unidata.github.io/python-awips/api/IDataRequest.html>`__
+-  `DataAccessLayer.getGeometryData <http://unidata.github.io/python-awips/api/PyGeometryData.html>`__
+
+**datetime:**
+
+-  `datetime.datetime <https://docs.python.org/3/library/datetime.html#datetime-objects>`__
+-  `datetime.utcnow() <https://docs.python.org/3/library/datetime.html?#datetime.datetime.utcnow>`__
+-  `datetime.timedelta <https://docs.python.org/3/library/datetime.html#timedelta-objects>`__
+-  `datetime.strftime() and
+   datetime.strptime() <https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior>`__
+
+**numpy:**
+
+-  `np.array <https://numpy.org/doc/stable/reference/generated/numpy.array.html>`__
+
+**cartopy:**
+
+-  `cartopy projection
+   list <https://scitools.org.uk/cartopy/docs/v0.14/crs/projections.html?#cartopy-projection-list>`__
+-  `cartopy feature
+   interface <https://scitools.org.uk/cartopy/docs/v0.14/matplotlib/feature_interface.html>`__
+
+**matplotlib:**
+
+-  `matplotlib.pyplot() <https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html>`__
+-  `matplotlib.pyplot.figure() <https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html>`__
+-  `matplotlib.pyplot.figure.add_subplot <https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.add_subplot>`__
+-  `ax.set_extent <https://matplotlib.org/stable/api/image_api.html?highlight=set_extent#matplotlib.image.AxesImage.set_extent>`__
+-  `ax.set_title <https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html>`__
+
+**metpy:**
+
+-  `metpy.calc.wind_components <https://unidata.github.io/MetPy/latest/api/generated/metpy.calc.wind_components.html>`__
+-  `metpy.plots.StationPlot() <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlot.html>`__
+-  `metpy.plots.StationPlotLayout() <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html>`__
+-  `metpy.units <https://unidata.github.io/MetPy/latest/api/generated/metpy.units.html>`__
+
+Top
+
+--------------

examples/generated/Colored_Surface_Temperature_Plot.html

@@ -66,6 +66,7 @@
 <li class="toctree-l2"><a class="reference internal" href="GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
 <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>

examples/generated/Colorized_Grid_Data.html

@@ -65,6 +65,7 @@
 <li class="toctree-l2"><a class="reference internal" href="GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
 <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>

examples/generated/Forecast_Model_Vertical_Sounding.html

@@ -57,6 +57,7 @@
 <li class="toctree-l2"><a class="reference internal" href="GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
 <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>

examples/generated/GOES_CIRA_Product_Writer.html

@@ -65,6 +65,7 @@
 <li class="toctree-l2"><a class="reference internal" href="GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
 <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>

examples/generated/GOES_Geostationary_Lightning_Mapper.html

@@ -56,6 +56,7 @@
 </li>
 <li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
 <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>

examples/generated/Grid_Levels_and_Parameters.html

@@ -69,6 +69,7 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>

examples/generated/METAR_Station_Plot_with_MetPy.html

@@ -20,7 +20,7 @@
     <link rel="author" title="About these documents" href="../../about.html" />
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
-    <link rel="next" title="Map Resources and Topography" href="Map_Resources_and_Topography.html" />
+    <link rel="next" title="METAR main" href="METAR_main.html" />
     <link rel="prev" title="Grid Levels and Parameters" href="Grid_Levels_and_Parameters.html" /> 
 </head>
 
@@ -66,6 +66,7 @@
 </li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_main.html">METAR main</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
@@ -299,26 +300,29 @@ set all the remaining parameters.</p>
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># define a dictionary and array that will be populated from our for loop below</span>
 <span class="n">obs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">({</span><span class="n">params</span><span class="p">:</span> <span class="p">[]</span> <span class="k">for</span> <span class="n">params</span> <span class="ow">in</span> <span class="n">params</span><span class="p">})</span>
 <span class="n">station_names</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">time_title</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
 
-<span class="c1"># only grab the first skyCover record related to a station</span>
+<span class="c1"># cycle through all the data in the response, in reverse order to get the most recent data first</span>
-<span class="n">new_station_id</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="k">for</span> <span class="n">ob</span> <span class="ow">in</span> <span class="nb">reversed</span><span class="p">(</span><span class="n">response</span><span class="p">):</span>
-<span class="c1"># cycle through all the data in the response</span>
-<span class="k">for</span> <span class="n">ob</span> <span class="ow">in</span> <span class="n">response</span><span class="p">:</span>
     <span class="n">avail_params</span> <span class="o">=</span> <span class="n">ob</span><span class="o">.</span><span class="n">getParameters</span><span class="p">()</span>
-    <span class="c1"># if it has cloud information and is the first entry for this station id</span>
+    <span class="c1">#print(avail_params)</span>
-    <span class="k">if</span> <span class="s2">&quot;skyCover&quot;</span> <span class="ow">in</span> <span class="n">avail_params</span> <span class="ow">and</span> <span class="n">new_station_id</span><span class="p">:</span>
+    <span class="c1"># if it has cloud information, we want the last of the 6 entries (most recent)</span>
+    <span class="k">if</span> <span class="s2">&quot;skyCover&quot;</span> <span class="ow">in</span> <span class="n">avail_params</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
             <span class="c1"># store the associated cloud cover int for the skyCover string</span>
             <span class="n">obs</span><span class="p">[</span><span class="s1">&#39;skyCover&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">get_cloud_cover</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s2">&quot;skyCover&quot;</span><span class="p">)))</span>
-        <span class="n">new_station_id</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
     <span class="k">elif</span> <span class="s2">&quot;stationName&quot;</span> <span class="ow">in</span> <span class="n">avail_params</span><span class="p">:</span>
-        <span class="n">new_station_id</span><span class="o">=</span><span class="kc">True</span>
         <span class="c1"># If we already have a record for this stationName, skip</span>
         <span class="k">if</span> <span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;stationName&#39;</span><span class="p">)</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">station_names</span><span class="p">:</span>
             <span class="n">station_names</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;stationName&#39;</span><span class="p">))</span>
+            <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
             <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">single_value_params</span><span class="p">:</span>
                 <span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">avail_params</span><span class="p">:</span>
                     <span class="k">if</span> <span class="n">param</span> <span class="o">==</span> <span class="s1">&#39;timeObs&#39;</span><span class="p">:</span>
                         <span class="n">obs</span><span class="p">[</span><span class="n">param</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">datetime</span><span class="o">.</span><span class="n">fromtimestamp</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="n">param</span><span class="p">)</span><span class="o">/</span><span class="mf">1000.0</span><span class="p">))</span>
+                        <span class="k">if</span> <span class="n">time_title</span> <span class="o">==</span> <span class="s2">&quot;&quot;</span><span class="p">:</span>
+                            <span class="n">time_title</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span>
                     <span class="k">else</span><span class="p">:</span>
                         <span class="k">try</span><span class="p">:</span>
                             <span class="n">obs</span><span class="p">[</span><span class="n">param</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="n">param</span><span class="p">))</span>
@@ -385,7 +389,7 @@ our data values) on the custom layout so it knows what to draw.</p>
 
 <span class="c1"># Set plot bounds</span>
 <span class="n">ax</span><span class="o">.</span><span class="n">set_extent</span><span class="p">((</span><span class="o">-</span><span class="mi">118</span><span class="p">,</span> <span class="o">-</span><span class="mi">73</span><span class="p">,</span> <span class="mi">23</span><span class="p">,</span> <span class="mi">50</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">ob</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span> <span class="o">+</span> <span class="s2">&quot; | METAR | &quot;</span> <span class="o">+</span> <span class="n">edexServer</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="n">time_title</span> <span class="o">+</span> <span class="s2">&quot; | METAR | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span><span class="p">)</span>
 
 <span class="c1"># Winds, temps, dewpoint, station id</span>
 <span class="n">custom_layout</span> <span class="o">=</span> <span class="n">StationPlotLayout</span><span class="p">()</span>
@@ -476,7 +480,7 @@ interface</a></p></li>
           </div>
           <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
         <a href="Grid_Levels_and_Parameters.html" class="btn btn-neutral float-left" title="Grid Levels and Parameters" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
-        <a href="Map_Resources_and_Topography.html" class="btn btn-neutral float-right" title="Map Resources and Topography" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
+        <a href="METAR_main.html" class="btn btn-neutral float-right" title="METAR main" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
     </div>
 
   <hr/>

examples/generated/METAR_main.html

@@ -0,0 +1,502 @@
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" >
+<head>
+  <meta charset="utf-8" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>METAR main &mdash; python-awips  documentation</title>
+      <link rel="stylesheet" href="../../_static/pygments.css" type="text/css" />
+      <link rel="stylesheet" href="../../_static/css/theme.css" type="text/css" />
+  <!--[if lt IE 9]>
+    <script src="../../_static/js/html5shiv.min.js"></script>
+  <![endif]-->
+  
+        <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
+        <script src="../../_static/jquery.js"></script>
+        <script src="../../_static/underscore.js"></script>
+        <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
+        <script src="../../_static/doctools.js"></script>
+    <script src="../../_static/js/theme.js"></script>
+    <link rel="author" title="About these documents" href="../../about.html" />
+    <link rel="index" title="Index" href="../../genindex.html" />
+    <link rel="search" title="Search" href="../../search.html" />
+    <link rel="next" title="Map Resources and Topography" href="Map_Resources_and_Topography.html" />
+    <link rel="prev" title="METAR Station Plot with MetPy" href="METAR_Station_Plot_with_MetPy.html" /> 
+</head>
+
+<body class="wy-body-for-nav"> 
+  <div class="wy-grid-for-nav">
+    <nav data-toggle="wy-nav-shift" class="wy-nav-side">
+      <div class="wy-side-scroll">
+        <div class="wy-side-nav-search" >
+            <a href="../../index.html" class="icon icon-home"> python-awips
+          </a>
+              <div class="version">
+                18.1.8
+              </div>
+<div role="search">
+  <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
+    <input type="text" name="q" placeholder="Search docs" />
+    <input type="hidden" name="check_keywords" value="yes" />
+    <input type="hidden" name="area" value="default" />
+  </form>
+</div>
+        </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
+              <ul class="current">
+<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"><a class="reference internal" href="Colored_Surface_Temperature_Plot.html">Colored Surface Temperature Plot</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Colorized_Grid_Data.html">Colorized Grid Data</a></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>
+<li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
+<li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">METAR main</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#objectives">Objectives</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#imports">Imports</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#function-get-cloud-cover">Function: get_cloud_cover()</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#initial-setup">Initial Setup</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#filter-by-time">Filter by Time</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#use-the-data">Use the Data!</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#plot-the-data">Plot the Data!</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#see-also">See Also</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Satellite_Imagery.html">Satellite Imagery</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Watch_Warning_and_Advisory_Plotting.html">Watch Warning and Advisory Plotting</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../../dev.html">Development Guide</a></li>
+<li class="toctree-l1"><a class="reference external" href="http://unidata.github.io/awips2/appendix/appendix-grid-parameters/">AWIPS Grid Parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../about.html">About Unidata AWIPS</a></li>
+</ul>
+
+        </div>
+      </div>
+    </nav>
+
+    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
+          <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
+          <a href="../../index.html">python-awips</a>
+      </nav>
+
+      <div class="wy-nav-content">
+        <div class="rst-content">
+          <div role="navigation" aria-label="Page navigation">
+  <ul class="wy-breadcrumbs">
+      <li><a href="../../index.html" class="icon icon-home"></a> &raquo;</li>
+          <li><a href="../index.html">Data Plotting Examples</a> &raquo;</li>
+      <li>METAR main</li>
+      <li class="wy-breadcrumbs-aside">
+            <a href="../../_sources/examples/generated/METAR_main.rst.txt" rel="nofollow"> View page source</a>
+      </li>
+  </ul>
+  <hr/>
+</div>
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+             
+  <section id="metar-main">
+<h1>METAR main<a class="headerlink" href="#metar-main" title="Permalink to this heading"></a></h1>
+<p><a class="reference external" href="http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/METAR_main.ipynb">Notebook</a>
+.. container:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">..</span> <span class="n">container</span><span class="p">::</span>
+
+<span class="o">..</span> <span class="n">rubric</span><span class="p">::</span> <span class="n">METAR</span> <span class="n">Staion</span> <span class="n">Plot</span> <span class="k">with</span> <span class="n">MetPy</span>
+   <span class="p">:</span><span class="n">name</span><span class="p">:</span> <span class="n">metar</span><span class="o">-</span><span class="n">staion</span><span class="o">-</span><span class="n">plot</span><span class="o">-</span><span class="k">with</span><span class="o">-</span><span class="n">metpy</span>
+
+<span class="o">**</span><span class="n">Python</span><span class="o">-</span><span class="n">AWIPS</span> <span class="n">Tutorial</span> <span class="n">Notebook</span><span class="o">**</span>
+
+<span class="o">..</span> <span class="n">container</span><span class="p">::</span>
+</pre></div>
+</div>
+<hr class="docutils" />
+<section id="objectives">
+<h2>Objectives<a class="headerlink" href="#objectives" title="Permalink to this heading"></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>Extract necessary data and reformat it for plotting</p></li>
+<li><p>Stylize and plot METAR station data using Cartopy, Matplotlib, and
+MetPy</p></li>
+</ul>
+<hr class="docutils" />
+<h1><p>Table of Contents</p>
+</h1><div class="toc docutils container">
+<ul class="toc-item"><li><p>1  Imports</p>
+</li><li><p>2  Function: get_cloud_cover()</p>
+</li><li><p>3  Initial Setup</p>
+<ul class="toc-item"><li><p>3.1  Initial EDEX Connection</p>
+</li><li><p>3.2  Setting Connection Location Names</p>
+</li></ul></li><li><p>4  Filter by Time</p>
+</li><li><p>5  Use the Data!</p>
+<ul class="toc-item"><li><p>5.1  Get the Data!</p>
+</li><li><p>5.2  Extract all Parameters</p>
+</li><li><p>5.3  Populate the Data Dictionary</p>
+</li></ul></li><li><p>6  Plot the Data!</p>
+</li><li><p>7  See Also</p>
+<ul class="toc-item"><li><p>7.1  Related Notebooks</p>
+</li><li><p>7.2  Additional Documentation</p>
+</li></ul></li></ul></div>
+<section id="imports">
+<h3>Imports<a class="headerlink" href="#imports" title="Permalink to this heading"></a></h3>
+<p>The imports below are used throughout the notebook. Note the first two
+imports are coming directly from python-awips and allow us to connect to
+an EDEX server, and define a timrange used for filtering the data. 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>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</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">cartopy.feature</span> <span class="k">as</span> <span class="nn">cfeature</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">metpy.calc</span> <span class="kn">import</span> <span class="n">wind_components</span>
+<span class="kn">from</span> <span class="nn">metpy.plots</span> <span class="kn">import</span> <span class="n">StationPlot</span><span class="p">,</span> <span class="n">StationPlotLayout</span><span class="p">,</span> <span class="n">sky_cover</span>
+<span class="kn">from</span> <span class="nn">metpy.units</span> <span class="kn">import</span> <span class="n">units</span>
+</pre></div>
+</div>
+<p>Top</p>
+</section>
+<hr class="docutils" />
+<section id="function-get-cloud-cover">
+<h3>Function: get_cloud_cover()<a class="headerlink" href="#function-get-cloud-cover" title="Permalink to this heading"></a></h3>
+<p>Returns the cloud fraction values as integer codes (0 through 8).</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">get_cloud_cover</span><span class="p">(</span><span class="n">code</span><span class="p">):</span>
+    <span class="k">if</span> <span class="s1">&#39;OVC&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
+        <span class="k">return</span> <span class="mi">8</span>
+    <span class="k">elif</span> <span class="s1">&#39;BKN&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
+        <span class="k">return</span> <span class="mi">6</span>
+    <span class="k">elif</span> <span class="s1">&#39;SCT&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
+        <span class="k">return</span> <span class="mi">4</span>
+    <span class="k">elif</span> <span class="s1">&#39;FEW&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
+        <span class="k">return</span> <span class="mi">2</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">return</span> <span class="mi">0</span>
+</pre></div>
+</div>
+<p>Top</p>
+</section>
+<hr class="docutils" />
+<section id="initial-setup">
+<h3>Initial Setup<a class="headerlink" href="#initial-setup" title="Permalink to this heading"></a></h3>
+<section id="initial-edex-connection">
+<h4>Initial EDEX Connection<a class="headerlink" href="#initial-edex-connection" title="Permalink to this heading"></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>.</p>
+<p>Then, because we’re going to uses MetPy’s
+<a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlot.html">StationPlot</a>
+and
+<a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html">StationPlotLayout</a>
+we need to define several parameters, and then set them on the data
+request object.</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># EDEX 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="c1"># define desired parameters</span>
+<span class="n">single_value_params</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;timeObs&quot;</span><span class="p">,</span> <span class="s2">&quot;stationName&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;temperature&quot;</span><span class="p">,</span> <span class="s2">&quot;dewpoint&quot;</span><span class="p">,</span> <span class="s2">&quot;windDir&quot;</span><span class="p">,</span>
+                       <span class="s2">&quot;windSpeed&quot;</span><span class="p">]</span>
+<span class="n">multi_value_params</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;skyCover&quot;</span><span class="p">]</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">single_value_params</span> <span class="o">+</span> <span class="n">multi_value_params</span>
+
+<span class="c1"># set all parameters on the request</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>
+</pre></div>
+</div>
+</section>
+<section id="setting-connection-location-names">
+<h4>Setting Connection Location Names<a class="headerlink" href="#setting-connection-location-names" title="Permalink to this heading"></a></h4>
+<p>We are also going to define specific station IDs so that our plot is not
+too cluttered.</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Define a list of station IDs to plot</span>
+<span class="n">selected</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;KPDX&#39;</span><span class="p">,</span> <span class="s1">&#39;KOKC&#39;</span><span class="p">,</span> <span class="s1">&#39;KICT&#39;</span><span class="p">,</span> <span class="s1">&#39;KGLD&#39;</span><span class="p">,</span> <span class="s1">&#39;KMEM&#39;</span><span class="p">,</span> <span class="s1">&#39;KBOS&#39;</span><span class="p">,</span> <span class="s1">&#39;KMIA&#39;</span><span class="p">,</span> <span class="s1">&#39;KMOB&#39;</span><span class="p">,</span> <span class="s1">&#39;KABQ&#39;</span><span class="p">,</span> <span class="s1">&#39;KPHX&#39;</span><span class="p">,</span> <span class="s1">&#39;KTTF&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KORD&#39;</span><span class="p">,</span> <span class="s1">&#39;KBIL&#39;</span><span class="p">,</span> <span class="s1">&#39;KBIS&#39;</span><span class="p">,</span> <span class="s1">&#39;KCPR&#39;</span><span class="p">,</span> <span class="s1">&#39;KLAX&#39;</span><span class="p">,</span> <span class="s1">&#39;KATL&#39;</span><span class="p">,</span> <span class="s1">&#39;KMSP&#39;</span><span class="p">,</span> <span class="s1">&#39;KSLC&#39;</span><span class="p">,</span> <span class="s1">&#39;KDFW&#39;</span><span class="p">,</span> <span class="s1">&#39;KNYC&#39;</span><span class="p">,</span> <span class="s1">&#39;KPHL&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KPIT&#39;</span><span class="p">,</span> <span class="s1">&#39;KIND&#39;</span><span class="p">,</span> <span class="s1">&#39;KOLY&#39;</span><span class="p">,</span> <span class="s1">&#39;KSYR&#39;</span><span class="p">,</span> <span class="s1">&#39;KLEX&#39;</span><span class="p">,</span> <span class="s1">&#39;KCHS&#39;</span><span class="p">,</span> <span class="s1">&#39;KTLH&#39;</span><span class="p">,</span> <span class="s1">&#39;KHOU&#39;</span><span class="p">,</span> <span class="s1">&#39;KGJT&#39;</span><span class="p">,</span> <span class="s1">&#39;KLBB&#39;</span><span class="p">,</span> <span class="s1">&#39;KLSV&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KGRB&#39;</span><span class="p">,</span> <span class="s1">&#39;KCLT&#39;</span><span class="p">,</span> <span class="s1">&#39;KLNK&#39;</span><span class="p">,</span> <span class="s1">&#39;KDSM&#39;</span><span class="p">,</span> <span class="s1">&#39;KBOI&#39;</span><span class="p">,</span> <span class="s1">&#39;KFSD&#39;</span><span class="p">,</span> <span class="s1">&#39;KRAP&#39;</span><span class="p">,</span> <span class="s1">&#39;KRIC&#39;</span><span class="p">,</span> <span class="s1">&#39;KJAN&#39;</span><span class="p">,</span> <span class="s1">&#39;KHSV&#39;</span><span class="p">,</span> <span class="s1">&#39;KCRW&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KSAT&#39;</span><span class="p">,</span> <span class="s1">&#39;KBUY&#39;</span><span class="p">,</span> <span class="s1">&#39;K0CO&#39;</span><span class="p">,</span> <span class="s1">&#39;KZPC&#39;</span><span class="p">,</span> <span class="s1">&#39;KVIH&#39;</span><span class="p">,</span> <span class="s1">&#39;KBDG&#39;</span><span class="p">,</span> <span class="s1">&#39;KMLF&#39;</span><span class="p">,</span> <span class="s1">&#39;KELY&#39;</span><span class="p">,</span> <span class="s1">&#39;KWMC&#39;</span><span class="p">,</span> <span class="s1">&#39;KOTH&#39;</span><span class="p">,</span> <span class="s1">&#39;KCAR&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KLMT&#39;</span><span class="p">,</span> <span class="s1">&#39;KRDM&#39;</span><span class="p">,</span> <span class="s1">&#39;KPDT&#39;</span><span class="p">,</span> <span class="s1">&#39;KSEA&#39;</span><span class="p">,</span> <span class="s1">&#39;KUIL&#39;</span><span class="p">,</span> <span class="s1">&#39;KEPH&#39;</span><span class="p">,</span> <span class="s1">&#39;KPUW&#39;</span><span class="p">,</span> <span class="s1">&#39;KCOE&#39;</span><span class="p">,</span> <span class="s1">&#39;KMLP&#39;</span><span class="p">,</span> <span class="s1">&#39;KPIH&#39;</span><span class="p">,</span> <span class="s1">&#39;KIDA&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KMSO&#39;</span><span class="p">,</span> <span class="s1">&#39;KACV&#39;</span><span class="p">,</span> <span class="s1">&#39;KHLN&#39;</span><span class="p">,</span> <span class="s1">&#39;KBIL&#39;</span><span class="p">,</span> <span class="s1">&#39;KOLF&#39;</span><span class="p">,</span> <span class="s1">&#39;KRUT&#39;</span><span class="p">,</span> <span class="s1">&#39;KPSM&#39;</span><span class="p">,</span> <span class="s1">&#39;KJAX&#39;</span><span class="p">,</span> <span class="s1">&#39;KTPA&#39;</span><span class="p">,</span> <span class="s1">&#39;KSHV&#39;</span><span class="p">,</span> <span class="s1">&#39;KMSY&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KELP&#39;</span><span class="p">,</span> <span class="s1">&#39;KRNO&#39;</span><span class="p">,</span> <span class="s1">&#39;KFAT&#39;</span><span class="p">,</span> <span class="s1">&#39;KSFO&#39;</span><span class="p">,</span> <span class="s1">&#39;KNYL&#39;</span><span class="p">,</span> <span class="s1">&#39;KBRO&#39;</span><span class="p">,</span> <span class="s1">&#39;KMRF&#39;</span><span class="p">,</span> <span class="s1">&#39;KDRT&#39;</span><span class="p">,</span> <span class="s1">&#39;KFAR&#39;</span><span class="p">,</span> <span class="s1">&#39;KBDE&#39;</span><span class="p">,</span> <span class="s1">&#39;KDLH&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;KHOT&#39;</span><span class="p">,</span> <span class="s1">&#39;KLBF&#39;</span><span class="p">,</span> <span class="s1">&#39;KFLG&#39;</span><span class="p">,</span> <span class="s1">&#39;KCLE&#39;</span><span class="p">,</span> <span class="s1">&#39;KUNV&#39;</span><span class="p">]</span>
+
+<span class="c1"># set the location names to the desired station IDs</span>
+<span class="n">request</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="o">*</span><span class="p">(</span><span class="n">selected</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Top</p>
+</section>
+</section>
+<hr class="docutils" />
+<section id="filter-by-time">
+<h3>Filter by Time<a class="headerlink" href="#filter-by-time" title="Permalink to this heading"></a></h3>
+<p>Here we decide how much data we want to pull from EDEX. By default we’ll
+request 1 hour, but that value can easily be modified by <cite>adjusting the
+``timedelta(hours = 1)`</cite> &lt;<a class="reference external" href="https://docs.python.org/3/library/datetime.html#timedelta-objects">https://docs.python.org/3/library/datetime.html#timedelta-objects</a>&gt;`__
+in line <code class="docutils literal notranslate"><span class="pre">2</span></code>. The more data we request, the longer this section will
+take to run.</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Time range</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">hours</span> <span class="o">=</span> <span class="mi">1</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&#39;</span><span class="p">)</span>
+<span class="n">beginRange</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">strptime</span><span class="p">(</span> <span class="n">start</span> <span class="o">+</span> <span class="s2">&quot;:00:00&quot;</span><span class="p">,</span> <span class="s2">&quot;%Y-%m-</span><span class="si">%d</span><span class="s2"> %H:%M:%S&quot;</span><span class="p">)</span>
+<span class="n">endRange</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">strptime</span><span class="p">(</span> <span class="n">start</span> <span class="o">+</span> <span class="s2">&quot;:59:59&quot;</span><span class="p">,</span> <span class="s2">&quot;%Y-%m-</span><span class="si">%d</span><span class="s2"> %H:%M:%S&quot;</span><span class="p">)</span>
+<span class="n">timerange</span> <span class="o">=</span> <span class="n">TimeRange</span><span class="p">(</span><span class="n">beginRange</span><span class="p">,</span> <span class="n">endRange</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Top</p>
+</section>
+<hr class="docutils" />
+<section id="use-the-data">
+<h3>Use the Data!<a class="headerlink" href="#use-the-data" title="Permalink to this heading"></a></h3>
+<section id="get-the-data">
+<h4>Get the Data!<a class="headerlink" href="#get-the-data" title="Permalink to this heading"></a></h4>
+<p>Now that we have our <code class="docutils literal notranslate"><span class="pre">request</span></code> and TimeRange <code class="docutils literal notranslate"><span class="pre">timerange</span></code> objects
+ready, we’re ready to get the data array from EDEX.</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Get response</span>
+<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>
+</pre></div>
+</div>
+</section>
+<section id="extract-all-parameters">
+<h4>Extract all Parameters<a class="headerlink" href="#extract-all-parameters" title="Permalink to this heading"></a></h4>
+<p>In this section we start gathering all the information we’ll need to
+properly display our data. First we create an empty dictionary and array
+to keep track of all data and unique station IDs. We also create a
+boolean to help us only grab the first entry for <code class="docutils literal notranslate"><span class="pre">skyCover</span></code> related to
+a station id.</p>
+<div class="alert-info docutils container">
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">&lt;</span><span class="n">b</span><span class="o">&gt;</span><span class="n">Note</span><span class="p">:</span><span class="o">&lt;/</span><span class="n">b</span><span class="o">&gt;</span>  <span class="n">The</span> <span class="n">way</span> <span class="n">the</span> <span class="n">data</span> <span class="n">responses</span> <span class="n">are</span> <span class="n">returned</span><span class="p">,</span> <span class="n">we</span> <span class="n">recieve</span> <span class="n">many</span> <span class="o">&lt;</span><span class="n">code</span><span class="o">&gt;</span><span class="n">skyCover</span><span class="o">&lt;/</span><span class="n">code</span><span class="o">&gt;</span> <span class="n">entries</span> <span class="k">for</span> <span class="n">each</span> <span class="n">station</span> <span class="n">ID</span><span class="p">,</span> <span class="n">but</span> <span class="n">we</span> <span class="n">only</span> <span class="n">want</span> <span class="n">to</span> <span class="n">keep</span> <span class="n">track</span> <span class="n">of</span> <span class="n">the</span> <span class="n">most</span> <span class="n">recent</span> <span class="n">one</span> <span class="p">(</span><span class="n">first</span> <span class="n">one</span> <span class="n">returned</span><span class="p">)</span><span class="o">.</span>
+</pre></div>
+</div>
+</div>
+<p>After defining these variables, we are ready to start looping through
+our response data. If the response is an entry of <code class="docutils literal notranslate"><span class="pre">skyCover</span></code>, and this
+is a new station id, then set the skyCover value in the obs dictionary.
+If this is not a skyCover entry, then explicitly set the <code class="docutils literal notranslate"><span class="pre">timeObs</span></code>
+variable (because we have to manipulate it slightly), and dynamically
+set all the remaining parameters.</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># define a dictionary and array that will be populated from our for loop below</span>
+<span class="n">obs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">({</span><span class="n">params</span><span class="p">:</span> <span class="p">[]</span> <span class="k">for</span> <span class="n">params</span> <span class="ow">in</span> <span class="n">params</span><span class="p">})</span>
+<span class="n">station_names</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">time_title</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
+
+<span class="c1"># cycle through all the data in the response, in reverse order to get the most recent data first</span>
+<span class="k">for</span> <span class="n">ob</span> <span class="ow">in</span> <span class="nb">reversed</span><span class="p">(</span><span class="n">response</span><span class="p">):</span>
+    <span class="n">avail_params</span> <span class="o">=</span> <span class="n">ob</span><span class="o">.</span><span class="n">getParameters</span><span class="p">()</span>
+    <span class="c1">#print(avail_params)</span>
+    <span class="c1"># if it has cloud information, we want the last of the 6 entries (most recent)</span>
+    <span class="k">if</span> <span class="s2">&quot;skyCover&quot;</span> <span class="ow">in</span> <span class="n">avail_params</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+            <span class="c1"># store the associated cloud cover int for the skyCover string</span>
+            <span class="n">obs</span><span class="p">[</span><span class="s1">&#39;skyCover&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">get_cloud_cover</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s2">&quot;skyCover&quot;</span><span class="p">)))</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
+    <span class="k">elif</span> <span class="s2">&quot;stationName&quot;</span> <span class="ow">in</span> <span class="n">avail_params</span><span class="p">:</span>
+        <span class="c1"># If we already have a record for this stationName, skip</span>
+        <span class="k">if</span> <span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;stationName&#39;</span><span class="p">)</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">station_names</span><span class="p">:</span>
+            <span class="n">station_names</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;stationName&#39;</span><span class="p">))</span>
+            <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
+            <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">single_value_params</span><span class="p">:</span>
+                <span class="k">if</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">avail_params</span><span class="p">:</span>
+                    <span class="k">if</span> <span class="n">param</span> <span class="o">==</span> <span class="s1">&#39;timeObs&#39;</span><span class="p">:</span>
+                        <span class="n">obs</span><span class="p">[</span><span class="n">param</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">datetime</span><span class="o">.</span><span class="n">fromtimestamp</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="n">param</span><span class="p">)</span><span class="o">/</span><span class="mf">1000.0</span><span class="p">))</span>
+                        <span class="k">if</span> <span class="n">time_title</span> <span class="o">==</span> <span class="s2">&quot;&quot;</span><span class="p">:</span>
+                            <span class="n">time_title</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="k">try</span><span class="p">:</span>
+                            <span class="n">obs</span><span class="p">[</span><span class="n">param</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="n">param</span><span class="p">))</span>
+                        <span class="k">except</span> <span class="ne">TypeError</span><span class="p">:</span>
+                            <span class="n">obs</span><span class="p">[</span><span class="n">param</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="n">param</span><span class="p">))</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">obs</span><span class="p">[</span><span class="n">param</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="populate-the-data-dictionary">
+<h4>Populate the Data Dictionary<a class="headerlink" href="#populate-the-data-dictionary" title="Permalink to this heading"></a></h4>
+<p>Next grab the variables out of the obs dictionary we just populated,
+attach correct units, (calculate their components, in the instance of
+wind) and put them into a new dictionary that we will hand the plotting
+function later.</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;stid&#39;</span><span class="p">]</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;stationName&#39;</span><span class="p">])</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</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;latitude&#39;</span><span class="p">])</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">]</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;longitude&#39;</span><span class="p">])</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;air_temperature&#39;</span><span class="p">]</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="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degC</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;dew_point_temperature&#39;</span><span class="p">]</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;dewpoint&#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="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degC</span>
+
+<span class="n">direction</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;windDir&#39;</span><span class="p">])</span>
+<span class="n">direction</span><span class="p">[</span><span class="n">direction</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">u</span><span class="p">,</span> <span class="n">v</span> <span class="o">=</span> <span class="n">wind_components</span><span class="p">(</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;windSpeed&#39;</span><span class="p">])</span> <span class="o">*</span> <span class="n">units</span><span class="p">(</span><span class="s1">&#39;knots&#39;</span><span class="p">),</span>
+                           <span class="n">direction</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degree</span><span class="p">)</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;eastward_wind&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;northward_wind&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">u</span><span class="p">,</span> <span class="n">v</span>
+<span class="n">data</span><span class="p">[</span><span class="s1">&#39;cloud_coverage&#39;</span><span class="p">]</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;skyCover&#39;</span><span class="p">])</span>
+</pre></div>
+</div>
+<p>Top</p>
+</section>
+</section>
+<hr class="docutils" />
+<section id="plot-the-data">
+<h3>Plot the Data!<a class="headerlink" href="#plot-the-data" title="Permalink to this heading"></a></h3>
+<p>Now we have all the data we need to create our plot! First we’ll assign
+a projection and create our figure and axes.</p>
+<p>Next, we use Cartopy to add common features (land, ocean, lakes,
+borders, etc) to help give us a more contextual map of the United States
+to plot the METAR stations on. We create and add a title for our figure
+as well.</p>
+<p>Additionally, we use <a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html">MetPy’s
+StationPlotLayout</a>
+to instantiate a custom layout and define all the attributes we want
+displayed. We need to then set the data dictionary (containing all of
+our data values) on the custom layout so it knows what to draw.</p>
+<p>Finally, we display the plot!</p>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">proj</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">central_longitude</span><span class="o">=-</span><span class="mi">95</span><span class="p">,</span> <span class="n">central_latitude</span><span class="o">=</span><span class="mi">35</span><span class="p">,</span>
+                             <span class="n">standard_parallels</span><span class="o">=</span><span class="p">[</span><span class="mi">35</span><span class="p">])</span>
+<span class="c1"># Create the figure</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">proj</span><span class="p">)</span>
+
+<span class="c1"># Add various map elements</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">OCEAN</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAKES</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">COASTLINE</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">STATES</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">BORDERS</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># Set plot bounds</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_extent</span><span class="p">((</span><span class="o">-</span><span class="mi">118</span><span class="p">,</span> <span class="o">-</span><span class="mi">73</span><span class="p">,</span> <span class="mi">23</span><span class="p">,</span> <span class="mi">50</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="n">time_title</span> <span class="o">+</span> <span class="s2">&quot; | METAR | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span><span class="p">)</span>
+
+<span class="c1"># Winds, temps, dewpoint, station id</span>
+<span class="n">custom_layout</span> <span class="o">=</span> <span class="n">StationPlotLayout</span><span class="p">()</span>
+<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_barb</span><span class="p">(</span><span class="s1">&#39;eastward_wind&#39;</span><span class="p">,</span> <span class="s1">&#39;northward_wind&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;knots&#39;</span><span class="p">)</span>
+<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_value</span><span class="p">(</span><span class="s1">&#39;NW&#39;</span><span class="p">,</span> <span class="s1">&#39;air_temperature&#39;</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;.0f&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;degF&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkred&#39;</span><span class="p">)</span>
+<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_value</span><span class="p">(</span><span class="s1">&#39;SW&#39;</span><span class="p">,</span> <span class="s1">&#39;dew_point_temperature&#39;</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;.0f&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;degF&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgreen&#39;</span><span class="p">)</span>
+<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_symbol</span><span class="p">(</span><span class="s1">&#39;C&#39;</span><span class="p">,</span> <span class="s1">&#39;cloud_coverage&#39;</span><span class="p">,</span> <span class="n">sky_cover</span><span class="p">)</span>
+
+<span class="n">stationplot</span> <span class="o">=</span> <span class="n">StationPlot</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">],</span> <span class="n">clip_on</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                          <span class="n">transform</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">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+<span class="n">stationplot</span><span class="o">.</span><span class="n">plot_text</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;stid&#39;</span><span class="p">])</span>
+<span class="n">custom_layout</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">stationplot</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="../../_images/METAR_main_25_0.png" src="../../_images/METAR_main_25_0.png" />
+<p>Top</p>
+</section>
+<hr class="docutils" />
+<section id="see-also">
+<h3>See Also<a class="headerlink" href="#see-also" title="Permalink to this heading"></a></h3>
+<ul class="simple">
+<li><p><a class="reference external" href="https://www.aviationweather.gov/metar/help?page=plot">Aviation Weather Center Static METAR Plots
+Information</a></p></li>
+</ul>
+<section id="related-notebooks">
+<h4>Related Notebooks<a class="headerlink" href="#related-notebooks" title="Permalink to this heading"></a></h4>
+<ul class="simple">
+<li><p><a class="reference external" href="http://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html">Grid Levels and
+Parameters</a></p></li>
+<li><p><a class="reference external" href="http://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html">Colored Surface Temperature
+Plot</a></p></li>
+</ul>
+</section>
+<section id="additional-documentation">
+<h4>Additional Documentation<a class="headerlink" href="#additional-documentation" title="Permalink to this heading"></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>
+<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/IDataRequest.html">IDataRequest</a></p></li>
+<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/PyGeometryData.html">DataAccessLayer.getGeometryData</a></p></li>
+</ul>
+<p><strong>datetime:</strong></p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html#datetime-objects">datetime.datetime</a></p></li>
+<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html?#datetime.datetime.utcnow">datetime.utcnow()</a></p></li>
+<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html#timedelta-objects">datetime.timedelta</a></p></li>
+<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior">datetime.strftime() and
+datetime.strptime()</a></p></li>
+</ul>
+<p><strong>numpy:</strong></p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.array.html">np.array</a></p></li>
+</ul>
+<p><strong>cartopy:</strong></p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://scitools.org.uk/cartopy/docs/v0.14/crs/projections.html?#cartopy-projection-list">cartopy projection
+list</a></p></li>
+<li><p><a class="reference external" href="https://scitools.org.uk/cartopy/docs/v0.14/matplotlib/feature_interface.html">cartopy feature
+interface</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.figure.html">matplotlib.pyplot.figure()</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.add_subplot">matplotlib.pyplot.figure.add_subplot</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/image_api.html?highlight=set_extent#matplotlib.image.AxesImage.set_extent">ax.set_extent</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html">ax.set_title</a></p></li>
+</ul>
+<p><strong>metpy:</strong></p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.calc.wind_components.html">metpy.calc.wind_components</a></p></li>
+<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlot.html">metpy.plots.StationPlot()</a></p></li>
+<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html">metpy.plots.StationPlotLayout()</a></p></li>
+<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.units.html">metpy.units</a></p></li>
+</ul>
+<p>Top</p>
+<hr class="docutils" />
+</section>
+</section>
+</section>
+</section>
+
+
+           </div>
+          </div>
+          <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
+        <a href="METAR_Station_Plot_with_MetPy.html" class="btn btn-neutral float-left" title="METAR Station Plot with MetPy" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
+        <a href="Map_Resources_and_Topography.html" class="btn btn-neutral float-right" title="Map Resources and Topography" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
+    </div>
+
+  <hr/>
+
+  <div role="contentinfo">
+    <p>&#169; Copyright 2018, Unidata.</p>
+  </div>
+
+  Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
+    <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
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+</footer>
+        </div>
+      </div>
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+  </div>
+  <script>
+      jQuery(function () {
+          SphinxRtdTheme.Navigation.enable(true);
+      });
+  </script> 
+
+</body>
+</html>

examples/generated/Map_Resources_and_Topography.html

@@ -21,7 +21,7 @@
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="Model Sounding Data" href="Model_Sounding_Data.html" />
-    <link rel="prev" title="METAR Station Plot with MetPy" href="METAR_Station_Plot_with_MetPy.html" /> 
+    <link rel="prev" title="METAR main" href="METAR_main.html" /> 
 </head>
 
 <body class="wy-body-for-nav"> 
@@ -53,6 +53,7 @@
 <li class="toctree-l2"><a class="reference internal" href="GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
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+        <a href="METAR_main.html" class="btn btn-neutral float-left" title="METAR main" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
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examples/generated/Model_Sounding_Data.html

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examples/generated/NEXRAD_Level3_Radar.html

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examples/generated/Precip_Accumulation-Region_Of_Interest.html

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examples/generated/Regional_Surface_Obs_Plot.html

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examples/generated/Satellite_Imagery.html

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examples/generated/Upper_Air_BUFR_Soundings.html

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examples/generated/Watch_Warning_and_Advisory_Plotting.html

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examples/index.html

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