numpy.asanyarray

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

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

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.

参见

asarray
Similar function which always returns ndarrays.
ascontiguousarray
Convert input to a contiguous array.
asfarray
Convert input to a floating point ndarray.
asfortranarray
Convert input to an ndarray with column-major memory order.
asarray_chkfinite
Similar function which checks input for NaNs and Infs.
fromiter
Create an array from an iterator.
fromfunction
Construct an array by executing a function on grid positions.

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.array([(1.0, 2), (3.0, 4)], dtype='f4,i4').view(np.recarray)
>>> np.asanyarray(a) is a
True