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# C-Types Foreign Function Interface (`numpy.ctypeslib`)

`numpy.ctypeslib.``as_array`(*args, **kwds)

`numpy.ctypeslib.``as_ctypes`(*args, **kwds)

`numpy.ctypeslib.``ctypes_load_library`(*args, **kwds)

`numpy.ctypeslib.``load_library`(*args, **kwds)

`numpy.ctypeslib.``ndpointer`(dtype=None, ndim=None, shape=None, flags=None)

  Array-checking restype/argtypes.

  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.

  Parameters: | dtype : data-type, optional Array data-type. ndim : int, optional Number of array dimensions. shape : tuple of ints, optional Array shape. flags : string or tuple of strings Array flags; may be one or more of: C_CONTIGUOUS / C / CONTIGUOUS F_CONTIGUOUS / F / FORTRAN OWNDATA / O WRITEABLE / W ALIGNED / A UPDATEIFCOPY / U

  Examples

      >>> clib.somefunc.argtypes = [np.ctypeslib.ndpointer(dtype=float64,
      ...                                                  ndim=1,
      ...                                                  flags='C_CONTIGUOUS')]
      >>> clib.somefunc(np.array([1, 2, 3], dtype=np.float64))

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