Pandas DataFrame: take() function

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

DataFrame - take() function

The take() function is used to get the elements in the given positional indices along an axis.

This means that we are not indexing according to actual values in the index attribute of the object. We are indexing according to the actual position of the element in the object.

Syntax:

DataFrame.take(self, indices, axis=0, is_copy=True, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
indices	An array of ints indicating which positions to take.	array-like	Required
axis	The axis on which to select elements. 0 means that we are selecting rows, 1 means that we are selecting columns.	{0 or ‘index’, 1 or ‘columns’, None} Default Value: 0	Required
is_copy	Whether to return a copy of the original object or not.	bool Default Value: True	Required
**kwargs	For compatibility with numpy.take(). Has no effect on the output.		Required

Returns: taken - same type as caller
An array-like containing the elements taken from the object.

Example:

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