Menu
×
   ❮     
HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP HOW TO W3.CSS C C++ C# BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS R TYPESCRIPT ANGULAR GIT POSTGRESQL MONGODB ASP AI GO KOTLIN SASS VUE DSA GEN AI SCIPY AWS CYBERSECURITY DATA SCIENCE
     ❯   

Pandas DataFrame reset_index() Method

❮ DataFrame Reference


Example

Reset the index back to 0, 1, 2:

import pandas as pd

data = {
  "name": ["Sally", "Mary", "John"],
  "age": [50, 40, 30],
  "qualified": [True, False, False]
}
idx = ["X", "Y", "Z"]

df = pd.DataFrame(data, index=idx)

newdf = df.reset_index()

print(newdf)
Try it Yourself »

Definition and Usage

The reset_index() method allows you reset the index back to the default 0, 1, 2 etc indexes.

By default this method will keep the "old" idexes in a column named "index", to avoid this, use the drop parameter.


Syntax

dataframe.reset_index(level, drop, inplace, col_level, col_fill)

Parameters

The parameters are keyword arguments.

Parameter Value Description
level Int
String
List
Tuple
Optional. Specifies the levels to reset. Default resets all levels
drop True
False
Optional. default False
inplace True
False
Optional, default False. If True: the operation is done on the current DataFrame. If False: returns a copy where the operation is done.
col_level Int
String
Optional, default 0. For multi level columns, specifies on which level to reset the indexes
col_fill Object
None
Optional, default ''.  For multi level columns, specifies how the other levels are indexed

Return Value

A DataFrame with the result, or None if the inplace parameter is set to True.

This function does NOT make changes to the original DataFrame object.


❮ DataFrame Reference

×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
sales@w3schools.com

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
help@w3schools.com

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. While using W3Schools, you agree to have read and accepted our terms of use, cookie and privacy policy.

Copyright 1999-2024 by Refsnes Data. All Rights Reserved. W3Schools is Powered by W3.CSS.