Wyoming sounding data to get the Station information and sounding indices

[xigrug]

How to get the Station information and sounding indices like

df, header = IGRAUpperAir.request_data(date, station, derived=True)

for Station number: 59280
Observation time: 190530/0000
Station latitude: 23.66
Station longitude: 113.05
Station elevation: 19.0
Showalter index: 1.12
Lifted index: 1.99
LIFT computed using virtual temperature: 2.01
SWEAT index: 227.42
K index: 35.80
Cross totals index: 19.70
Vertical totals index: 20.90
Totals totals index: 40.60
Convective Available Potential Energy: 0.00
CAPE using virtual temperature: 0.00
Convective Inhibition: 0.00
CINS using virtual temperature: 0.00
Bulk Richardson Number: 0.00
Bulk Richardson Number using CAPV: 0.00
Temp [K] of the Lifted Condensation Level: 293.68
Pres [hPa] of the Lifted Condensation Level: 962.59
Mean mixed layer potential temperature: 296.92
Mean mixed layer mixing ratio: 16.09
1000 hPa to 500 hPa thickness: 5777.00
Precipitable water [mm] for entire sounding: 61.63

[dopplershift]

There is not currently a way to do this, since it's unclear to me how to put this information into the same returned DataFrame as the profile data without an exceptional amount of missing data. A PR that manages to do this cleanly (or some other solution) would be welcome. What I don't want to do is bloat the DataFrame or do something like change the API to return multiple values.

[eliteuser26]

Do you want the indices extracted from the text file or calculated by Metpy.calc? I developed Python code to put some calculated indices in a dataframe for Cape, Cin and Lifted Index from Metpy.

[dopplershift]

@eliteuser26 So how are you incorporating scalar (i.e. singular) values within a dataframe that contains columns of T, Td, etc. that are all indexed on pressure?

[eliteuser26]

I should have been more clear in my explanation. I have a sounding in a dataframe from Metpy and a separate dataframe for indices. I am able to create a Skewt profile for my website and bring over the dataframe for calculated indices. I couldn't find a way to combine the profile and indices into the same dataframe. That is the question being asked. It needs to be separate.

I don't think it would be difficult to add additional parameters with the indices in the same dataframe. I use dataframes for everything except for things that can't be combined together because of different dimensions.