Reset index of MultiIndex DataFrame in Pandas

Last update on September 06 2025 12:49:52 (UTC/GMT +8 hours)

6. Reset Index of a MultiIndex DataFrame

Write a Pandas program to reset the index of a MultiIndex DataFrame.

Sample Solution :

Python Code :

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
    'A': [1, 6, 8, 3, 7],
    'B': [5, 2, 9, 4, 1],
    'C': ['one', 'one', 'two', 'two', 'one']
})

# Set MultiIndex
df = df.set_index(['C', 'A'])

# Reset the index
df = df.reset_index()
print(df)

Output:

     C  A  B
0  one  1  5
1  one  6  2
2  two  8  9
3  two  3  4
4  one  7  1

Explanation:

Import pandas library.
Create a DataFrame.
Set a MultiIndex using columns 'C' and 'A'.
Reset the index to default.
Print the DataFrame.

For more Practice: Solve these Related Problems:

Write a Pandas program to reset the index of a MultiIndex DataFrame to convert it back into columns.
Write a Pandas program to remove the MultiIndex from a DataFrame and then rename the new default index.
Write a Pandas program to reset the index of a MultiIndex DataFrame and then drop the old index levels.
Write a Pandas program to create a MultiIndex DataFrame, reset its index, and then sort the resulting DataFrame by a specific column.

Go to:

PREV : Swap Levels of a MultiIndex DataFrame.
NEXT : Indexing with .loc.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.