Utilizing Particular Criteria with DataFrame.loc in Pandas Python



I possess an MSDT_A1 and my aim is to cherry-pick only those rows that have the ‘code’ available in my set. At present, I am attempting the following method:

country_codes = set(set(dle['Code']) & set(dgdp['Code']))
dgdp.loc[dgdp['Code'].str in country_codes]


dgdp.loc[dgdp['Code'] in country_codes]

I encounter
typeerror: ‘series’ objects are mutable, thus they cannot be hashed
on the second one and
keyerror: false
on the first one.

What is the procedure to obtain information on the desired codes?


Attempt to locate the value of dgdp based on the corresponding country code in the column labeled ”

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