Set MultiIndex and access data in Pandas DataFrame
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.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/python-exercises/pandas/set-multiindex-and-access-data-in-pandas-dataframe.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics