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Resetting MultiIndex of a DataFrame in Pandas

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Multi-index Operations Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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To reset the multi-index of a DataFrame, use the DataFrame's reset_index() method.

Examples

Consider the following multi-index DataFrame:

index = [("A", "alice"), ("A", "bob"),("A", "cathy"), ("B", "david"),("B", "eric")]
multi_index = pd.MultiIndex.from_tuples(index)
df = pd.DataFrame({"a":[2,3,4,5,6]}, index=multi_index)
df
a
A alice 2
bob 3
cathy 4
B david 5
eric 6

Resetting all levels

To reset the all levels of the index:

df.reset_index()
level_0 level_1 a
0 A alice 2
1 A bob 3
2 A cathy 4
3 B david 5
4 B eric 6

Notice how the new columns are labelled as level_0 and level_1.

Resetting a specific level

To reset a particular level, pass in level like so:

df.reset_index(level=0)
level_0 a
alice A 2
bob A 3
cathy A 4
david B 5
eric B 6
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Published by Isshin Inada
Edited by 0 others
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