I have two series s1
and s2
in pandas and want to compute the intersection i.e. where all of the values of the series are common.
How would I use the concat
function to do this? I have been trying to work it out but have been unable to (I don’t want to compute the intersection on the indices of s1
and s2
, but on the values).
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Answer
Place both series in Python’s set container then use the set intersection method:
s1.intersection(s2)
and then transform back to list if needed.
Just noticed pandas in the tag. Can translate back to that:
pd.Series(list(set(s1).intersection(set(s2))))
From comments I have changed this to a more Pythonic expression, which is shorter and easier to read:
Series(list(set(s1) & set(s2)))
should do the trick, except if the index data is also important to you.
Have added the list(...)
to translate the set before going to pd.Series as pandas does not accept a set as direct input for a Series.