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Pandas DataFrame reindex() Method

❮ DataFrame Reference


Example

Change the row indexes of the DataFrame:

import pandas as pd

data = {
  "age": [50, 40, 30, 40],
  "qualified": [True, False, False, False]
}
idx = ["Sally", "Mary", "John", "Monica"]
df = pd.DataFrame(data, index=idx)

newidx = ["Robert", "Cindy", "Chloe", "Pete"]
newdf = df.reindex(newidx)
print(newdf)
Try it Yourself »

Definition and Usage

The reindex() method allows you to change the row indexes, and the columns labels.

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Note: The values are set to NaN if the new index is not the same as the old.


Syntax

dataframe.reindex(keys, method, copy, level, fill_value, limit, tolerance)

Parameters

The method, copy, level, fill_value, limit, tolerance parameters are keyword arguments.

Parameter Value Description
keys   Required. String or list containing row indexes or column labels
method None
'backfill'
'bfill'
'pad'
'ffill'
'nearest'
Optional, default None. Specifies the method to use when filling holes in the indexes. For increasing/decreasing indexes only.
copy True
False
Optional, default True. Whether to return a new object (a copy) when all the new indexes are the same as the old
level Number
Label
Optional
fill_value List of values Optional, default NaN. Specifies the value to use for missing values
limit Number Optional, default None.
tolerance   Optional

Return Value

A DataFrame with the result.

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


❮ DataFrame Reference