Reset index of MultiIndex DataFrame in Pandas

Last update on December 21 2024 07:42:50 (UTC/GMT +8 hours)

Pandas: Advanced Indexing and Slicing Exercise-6 with Solution

Reset Index:

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.

Python-Pandas Code Editor:

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

Previous: Swap MultiIndex Levels in Pandas DataFrame.
Next: Indexing with .loc in Pandas DataFrame.