numpy.asanyarray()

numpy.asanyarray(a, dtype=None, order=None) [source]

Convert the input to an ndarray, but pass ndarray subclasses through.

Parameters:

Parameters:	a : array_like 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. dtype : data-type, optional By default, the data-type is inferred from the input data. order : {?C?, ?F?}, optional Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ?C?.
Returns:	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.

a : array_like

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.

dtype : data-type, optional

By default, the data-type is inferred from the input data.

order : {?C?, ?F?}, optional

Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ?C?.

Returns:

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.

Examples

Convert a list into an array:

>>> a = [1, 2]
>>> np.asanyarray(a)
array([1, 2])

Instances of ndarray subclasses are passed through as-is:

>>> a = np.matrix([1, 2])
>>> np.asanyarray(a) is a
True

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.asanyarray.html

doc_NumPy

2017-01-10 18:12:50

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