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Setting multi-index using two columns of a DataFrame in Pandas
schedule Aug 12, 2023
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Tags Python●Pandas
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To set a multi-index to a DataFrame using two of its columns, use the DataFrame's set_index(~) method.
Examples
Consider the following DataFrame:
index = [("A", "alice"), ("A", "bob"),("A", "cathy"), ("B", "david"),("B", "eric")]df = pd.DataFrame({"group":["A","A","A","B","B"],"name":["alice","bob","cathy","david","eric"],"age":[2,3,4,5,6]})df
group name age0 A alice 21 A bob 32 A cathy 43 B david 54 B eric 6
To set columns group and name as the multi-index of df:
df
group name ageA alice 2 bob 3 cathy 4B david 5 eric 6
Here, we have 2 indexes, and by default, the column labels (i.e. group and name) are assigned as the name of the 2 new indexes.
Published by Isshin Inada
Edited by 0 others
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