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numpy.ascontiguousarray
numpy.ascontiguousarray(a, dtype=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.
- Returns
-
outndarray-
Contiguous array of same shape and content as
a, with typedtypeif 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'] TrueNote: This function returns an array with at least one-dimension (1-d) so it will not preserve 0-d arrays.
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https://numpy.org/doc/1.19/reference/generated/numpy.ascontiguousarray.html