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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