NumPy: numpy.asanyarray() function

Last update on March 24 2023 09:42:23 (UTC/GMT +8 hours)

numpy.asanyarray() function

The numpy.asanyarray() function is used to convert a given input to an ndarray, but pass ndarray subclasses through.

Syntax:

numpy.asanyarray(a, dtype=None, order=None)

Parameters:

Name	Description	Required / Optional
a	Input data, in any form that can be converted to an array. This includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.	Required
dtype	By default, the data-type is inferred from the input data.	Optional
order	Whether to use row-major (C-style) or column-major (Fortranstyle) memory representation. Defaults to 'C'.	Optional

Return value:

out [ndarray or an ndarray subclass] Array interpretation of a. If a is an ndarray or a subclass of ndarray, it is returned as-is and no copy is performed.

Example-1: numpy.asanyarray()

>>> import numpy as np
>>> x = [4, 6]
>>> np.asanyarray(x)
array([4, 6])

Example-2: numpy.asanyarray()

>>> import numpy as np
>>> x = np.array([(2.0, 3), (4.0, 5)], dtype='f4,i4').view(np.recarray)
>>> np.asanyarray(x) is x
True

Python - NumPy Code Editor:

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