Set MultiIndex and access data in Pandas DataFrame

Last update on December 21 2024 07:42:53 (UTC/GMT +8 hours)

Pandas: Advanced Indexing and Slicing Exercise-3 with Solution

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.

Python-Pandas Code Editor:

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

Previous: Select specific columns in Pandas DataFrame.
Next: Slice DataFrame with MultiIndex in Pandas.