================= Advanced Sounding ================= .. code:: python import matplotlib.pyplot as plt import numpy as np from scipy.constants import C2K, K2C from metpy.calc import get_wind_components, lcl, dry_lapse, parcel_profile from metpy.plots import SkewT .. code:: python # Parse the data p, T, Td, direc, spd = np.loadtxt('../testdata/may3_sounding.txt', usecols=(0, 2, 3, 6, 7), unpack=True) u,v = get_wind_components(spd, direc) .. code:: python # Create a new figure. The dimensions here give a good aspect ratio fig = plt.figure(figsize=(9, 9)) skew = SkewT(fig, rotation=45) # 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], C2K(T[0]), C2K(Td[0])) skew.plot(l, K2C(dry_lapse(l, C2K(T[0]), p[0])), 'ko', markerfacecolor='black') # Calculate full parcel profile and add to plot as black line prof = K2C(parcel_profile(p, C2K(T[0]), C2K(Td[0]))) 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