Issue
I have two columns with arrays which are generated from two others
mf['FV_array'] = mf['FV'].str.split()
mf['MT_array'] = mf['MT'].str.split()
and now what i am tryin to do is find which mf['MT_array']
index in every row is equals to last index in every mf['FV_array']
, a lot of my probes with index function did not work.
Example what i would like to do :
FV_array | MT_array | Result
['Something','John','Doe','is','there'] ['John','Doe'] 2
Thank you in advance for help!
Solution
You can use apply()
to call index()
on the elements in each row.
mf['Result'] = mf.apply(lambda row: row['FV_array'].index(row['MT_array'][-1]) if row['MT_array'][-1] in row['FV_array'] else None, axis=1)
Answered By - Barmar
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