-
numpy.ascontiguousarray(a, dtype=None)
[source] -
Return a contiguous array in memory (C order).
Parameters: a : array_like
Input array.
dtype : str or dtype object, optional
Data-type of returned array.
Returns: out : ndarray
Contiguous array of same shape and content as
a
, with typedtype
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
123456>>> 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
-
numpy.ascontiguousarray()

2025-01-10 15:47:30
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