mapping values from another pandas df
I have a pandas dataframe called females: iid id gender idg condtn wave round position positin1 order \ 0 1 1.0 0 1 1 1 10 7 NaN 4 1 1 1.0 0 1 1 1 10 7 NaN 3 and so on. each iid has around ten rows and in total there are around 3500 rows. I also have a dataframe: females_scores = pd.DataFrame(columns=['iid', 'Number Matches', 'Number Decisions', 'Match Rate', ' Decision Rate']) which has data on each iid. My question: What is the best way to add a column in the first dataframe (females) that maps the "Number Decisions" in the second dataframe according to iid, to every row in the first dataframe? I was thinking of using np.where, but this would return an array? Im not sure what the best path is tbh thanks in advance!
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