==============================
Plotting a Sounding with MetPy
==============================
`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Plotting_a_Sounding_with_MetPy.ipynb>`_

.. code:: python

    from awips.dataaccess import DataAccessLayer
    
    import matplotlib.tri as mtri
    import matplotlib.pyplot as plt
    from mpl_toolkits.axes_grid1.inset_locator import inset_axes
    import numpy as np
    
    from metpy.calc import get_wind_components, lcl, dry_lapse, parcel_profile
    from metpy.plots import SkewT, Hodograph
    from metpy.units import units, concatenate
    
    plt.rcParams['figure.figsize'] = (12, 14)
    
    # Set EDEX host
    DataAccessLayer.changeEDEXHost("edex-cloud.unidata.ucar.edu")
    request = DataAccessLayer.newDataRequest()
    
    # Data type bufrua
    request.setDatatype("bufrua")
    # Parameters
    request.setParameters("tpMan","tdMan","prMan","htMan","wdMan","wsMan")
    # Station ID (name doesn't work yet)
    request.setLocationNames("72469")
    datatimes = DataAccessLayer.getAvailableTimes(request)
    
    # Get most recent record
    response = DataAccessLayer.getGeometryData(request,times=datatimes[-1].validPeriod)
    
    # Initialize data arrays
    tpMan,tdMan,prMan,htMan,wdMan,wsMan = [],[],[],[],[],[]
    
    # Build ordered arrays
    for ob in response:
        tpMan.append(float(ob.getString("tpMan")))
        tdMan.append(float(ob.getString("tdMan")))
        prMan.append(float(ob.getString("prMan")))
        htMan.append(float(ob.getString("htMan")))
        wdMan.append(float(ob.getString("wdMan")))
        wsMan.append(float(ob.getString("wsMan")))
    
    # Convert 
    # we can use units.* here?
    T = np.array(tpMan)-273.15
    Td = np.array(tdMan)-273.15
    p = np.array(prMan)/100
    height = np.array(htMan)
    direc = np.array(wdMan)
    spd = np.array(wsMan)
    u, v = get_wind_components(spd, np.deg2rad(direc))
    
    p = p * units.mbar
    T = T * units.degC
    Td = Td * units.degC
    spd = spd * units.knot
    direc = direc * units.deg
    
    # Create a skewT plot
    skew = SkewT()
    
    # Plot the data using normal plotting functions, in this case using
    # log scaling in Y, as dictated by the typical meteorological plot
    skew.plot(p, T, 'r')
    skew.plot(p, Td, 'g')
    skew.plot_barbs(p, u, v)
    skew.ax.set_ylim(1000, 100)
    skew.ax.set_xlim(-40, 60)
    
    # Calculate LCL height and plot as black dot
    l = lcl(p[0], T[0], Td[0])
    lcl_temp = dry_lapse(concatenate((p[0], l)), T[0])[-1].to('degC')
    skew.plot(l, lcl_temp, 'ko', markerfacecolor='black')
    
    # Calculate full parcel profile and add to plot as black line
    prof = parcel_profile(p, T[0], Td[0]).to('degC')
    skew.plot(p, prof, 'k', linewidth=2)
    
    # Example of coloring area between profiles
    skew.ax.fill_betweenx(p, T, prof, where=T>=prof, facecolor='blue', alpha=0.4)
    skew.ax.fill_betweenx(p, T, prof, where=T<prof, facecolor='red', alpha=0.4)
    
    # An example of a slanted line at constant T -- in this case the 0 isotherm
    l = skew.ax.axvline(0, color='c', linestyle='--', linewidth=2)
    
    # Draw hodograph
    ax_hod = inset_axes(skew.ax, '40%', '40%', loc=3)
    h = Hodograph(ax_hod, component_range=80.)
    h.add_grid(increment=20)
    h.plot_colormapped(u, v, spd)
    
    # Show the plot
    plt.show()



.. image:: Plotting_a_Sounding_with_MetPy_files/Plotting_a_Sounding_with_MetPy_0_0.png