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Setting multi-index using two columns of a DataFrame in Pandas

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Multi-index Operations Cookbook
schedule Mar 10, 2022
Last updated
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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 age
0 A alice 2
1 A bob 3
2 A cathy 4
3 B david 5
4 B eric 6

To set columns group and name as the multi-index of df:

df = df.set_index(["group","name"])
df
group name age
A alice 2
bob 3
cathy 4
B 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.

robocat
Published by Isshin Inada
Edited by 0 others
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