Set MultiIndex and access data in Pandas DataFrame

Last update on September 06 2025 12:48:40 (UTC/GMT +8 hours)

3. Set MultiIndex and Access Data

Write a Pandas program to set a MultiIndex and access specific data using it.

Sample Solution :

Python Code :

import pandas as pd

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

# Set MultiIndex
df = df.set_index(['Z', 'X'])

# Access data using MultiIndex
result = df.loc[('one', 6)]
print(result)

Output:

Y    2
Name: (one, 6), dtype: int64

Explanation:

Import pandas library.
Create a DataFrame.
Set a MultiIndex using columns 'Z' and 'X'.
Access data for index ('one', 6).
Print the results.

For more Practice: Solve these Related Problems:

Write a Pandas program to set a MultiIndex using columns 'X' and 'Y' and then retrieve data for a specific tuple index.
Write a Pandas program to create a MultiIndex from two columns and then access a subset of data using a partial index key.
Write a Pandas program to build a MultiIndex DataFrame and use .loc to extract a row corresponding to a given index combination.
Write a Pandas program to create a MultiIndex DataFrame and then sort the DataFrame by the MultiIndex levels.

Go to:

PREV : Select Specific Columns ('X' and 'Y').
NEXT : Slice DataFrame Based on MultiIndex Levels.

Python-Pandas Code Editor:

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