ndpointer(dtype=None, ndim=None, shape=None, flags=None)
An ndpointer instance is used to describe an ndarray in restypes and argtypes specifications. This approach is more flexible than using, for example, POINTER(c_double)
, since several restrictions can be specified, which are verified upon calling the ctypes function. These include data type, number of dimensions, shape and flags. If a given array does not satisfy the specified restrictions, a TypeError
is raised.
Array data-type.
Number of array dimensions.
Array shape.
Array flags; may be one or more of:
C_CONTIGUOUS / C / CONTIGUOUS
F_CONTIGUOUS / F / FORTRAN
OWNDATA / O
WRITEABLE / W
ALIGNED / A
WRITEBACKIFCOPY / X
UPDATEIFCOPY / U
If a given array does not satisfy the specified restrictions.
A type object, which is an _ndtpr
instance containing dtype, ndim, shape and flags information.
Array-checking restype/argtypes.
>>> clib.somefunc.argtypes = [np.ctypeslib.ndpointer(dtype=np.float64,See :
... ndim=1,
... flags='C_CONTIGUOUS')]
... #doctest: +SKIP
... clib.somefunc(np.array([1, 2, 3], dtype=np.float64))
... #doctest: +SKIP
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numpy.ctypeslib
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