- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- MS Excel
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP
- Physics
- Chemistry
- Biology
- Mathematics
- English
- Economics
- Psychology
- Social Studies
- Fashion Studies
- Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python – Return index with a level removed
To return index with a level removed, use the multiIndex.droplevel() method in Pandas. At first, import the required libraries −
import pandas as pd
Create a multi-index. The names parameter sets the names for the levels in the index −
multiIndex = pd.MultiIndex.from_arrays([[5, 10], [15, 20], [25, 30], [35, 40]],names=['a', 'b', 'c', 'd'])
Dropping a level from the multiindex −
print("\nDropping a level...\n",multiIndex.droplevel())
Example
Following is the code −
import pandas as pd # Create a multi-index # The names parameter sets the names for the levels in the index multiIndex = pd.MultiIndex.from_arrays([[5, 10], [15, 20], [25, 30], [35, 40]], names=['a', 'b', 'c', 'd']) print("Multindex...\n",multiIndex) # dropping a level from the multiindex print("\nDropping a level...\n",multiIndex.droplevel())
Output
This will produce the following output −
Multindex... MultiIndex([( 5, 15, 25, 35), (10, 20, 30, 40)], names=['a', 'b', 'c', 'd']) Dropping a level... MultiIndex([(15, 25, 35), (20, 30, 40)], names=['b', 'c', 'd'])
Advertisements