Pandas DataFrame: assign() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - assign() function

The assign() function is used to assign new columns to a DataFrame.

Returns a new object with all original columns in addition to new ones. Existing columns that are re-assigned will be overwritten.

Syntax:

DataFrame.assign(self, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
**kwargs	The column names are keywords. If the values are callable, they are computed on the DataFrame and assigned to the new columns. The callable must not change input DataFrame (though pandas doesn't check it). If the values are not callable, (e.g. a Series, scalar, or array), they are simply assigned.	dict of {str: callable or Series}	Required

Returns: DataFrame
A new DataFrame with the new columns in addition to all the existing columns.

Example:

Download the Pandas DataFrame Notebooks from here.

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