Pandas DataFrame replace() Method

Example

Replace the value 50 with the value 60, for the entire DataFrame:

import pandas as pd

data = {
"name": ["Bill", "Bob", "Betty"],
"age": [50, 50, 30],
"qualified": [True, False, False]
}
df = pd.DataFrame(data)

newdf = df.replace(50, 60)

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Definition and Usage

The replace() method replaces the specified value with another specified value.

The replace() method searches the entire DataFrame and replaces every case of the specified value.

Syntax

dataframe.replace(to_replace, value, inplace, limit, regex, method)

Parameters

The inplace, limit, regex, method parameters are keyword arguments.

Parameter	Value	Description
to_replace		Required, a String, List, Dictionary, Series, Number, or a Regular Expression describing what to search for
value		Optional, A String, Number, Dictionary, List or Regular Expression that specifies a value to replace with.
inplace	`True False`	Optional, default False. If True: the replacing is done on the current DataFrame. If False: returns a copy where the replacing is done.
limit	Number `None`	Optional, default None. Specifies the max limit of the size gap to fill
regex	`True False None`	Optional, default False. Specifies whether to replace using a regular expression or not.
method	`'bfill' 'ffill' 'pad' None`	Optional, Specifies the how to replace if the `value` parameter is not present.