numpy.ascontiguousarray¶

numpy.ascontiguousarray(a, dtype=None, *, like=None)[source]¶

Return a contiguous array (ndim >= 1) in memory (C order).

Parameters

aarray_like: Input array.
dtypestr or dtype object, optional: Data-type of returned array.
likearray_like: Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like supports the __array_function__ protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.

Note

The like keyword is an experimental feature pending on acceptance of NEP 35.

New in version 1.20.0.

Returns

outndarray: Contiguous array of same shape and content as a, with type dtype if specified.

See also

asfortranarray: Convert input to an ndarray with column-major memory order.
require: Return an ndarray that satisfies requirements.
ndarray.flags: Information about the memory layout of the array.

Examples

>>> x = np.arange(6).reshape(2,3)
>>> np.ascontiguousarray(x, dtype=np.float32)
array([[0., 1., 2.],
       [3., 4., 5.]], dtype=float32)
>>> x.flags['C_CONTIGUOUS']
True

Note: This function returns an array with at least one-dimension (1-d) so it will not preserve 0-d arrays.

numpy.asanyarray numpy.copy