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Greetings! Apologies for the delay. Here's some sample code that calculates the parcel profile for the surface parcel in the sounding, and uses that to calculate cape and cin using `cape_cin()`: from datetime import datetime import metpy.calc as mpcalc from metpy.units import pandas_dataframe_to_unit_arrays from siphon.simplewebservice.wyoming import WyomingUpperAir df = WyomingUpperAir.request_data(datetime(2013, 5, 20, 18), 'OUN') data = pandas_dataframe_to_unit_arrays(df) # Calculate the parcel profile, including the LCL--this interpolates the sounding to the level of the LCL # as well, so that the profile and all variables have the same points p, t, d, prof = mpcalc.parcel_profile_with_lcl(data['pressure'], data['temperature'], data['dewpoint']) cape, cin = mpcalc.cape_cin(p, t, d, prof) Hope this helps, Ryan > Hello > > I have a stupid question but I'm writing to you because I'm new with > metpy and I don't know how to calculate cape. Do you have maby simple > example of usage metpy.calc.cape_cin()? I was looking for it but I haven't > found. If you have a simple example please share with me if you can. I > will be very grateful. Ticket Details =================== Ticket ID: GNH-263504 Department: Support Python Priority: Low Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.