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Reset index of MultiIndex DataFrame in Pandas

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:

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

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