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.
 
    © 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
    https://numpy.org/doc/1.18/reference/generated/numpy.ascontiguousarray.html