Pandas DataFrame - transform() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame - transform() function

The transform() function is used to call function (func) on self producing a DataFrame with transformed values and that has the same axis length as self.

Syntax:

DataFrame.transform(self, func, axis=0, *args, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
func	Function to use for transforming the data. If a function, must either work when passed a DataFrame or when passed to DataFrame.apply. Accepted combinations are: function string function name list of functions and/or function names, e.g. [np.exp. 'sqrt'] dict of axis labels -> functions, function names or list of such.	function, str, list or dict	Required
axis	If 0 or ‘index’: apply function to each column. If 1 or ‘columns’: apply function to each row.	{0 or ‘index’, 1 or ‘columns’} Default Value: 0	Required
*args	Positional arguments to pass to func.		Required
**kwargs	Keyword arguments to pass to func.		Required

Returns: DataFrame
A DataFrame that must have the same length as self.

Raises: ValueError - If the returned DataFrame has a different length than self.

Example:

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