I want to pass byte numpy array to a C
function using ctypes
. The C
function takes void *mem_address
so I thought to pass it as the following:
lst = np.random.choice(np.array(range(0, 100), dtype=np.int), size=(100, 5))
lst = np.asarray(lst).tobytes()
# Pass
lst.ctypes.data_as(ctypes.c_void_p)
This gives the error AttributeError: 'bytes' object has no attribute 'ctypes'
which means ctypes
does not handle numpy. Is there a workaround?
lst
is now a python bytes
object, not a numpy
array. Thats what .tobytes()
does.
Why not do
lst = np.random.choice(np.array(range(0, 100), dtype=np.int), size=(100, 5))
lst.ctypes.data_as(ctypes.c_void_p)
?
I'm not even sure why you tried to convert to a byte which is 8 bit when c pointers are 32 or 64 bit.
lst = np.asarray(lst).tobytes()
generates a plain bytes object ( [Python 3]: class bytes ( [source[, encoding[, errors]]] ) which is not handled by ctypes .
The original lst object on the other hand ( [SciPy]: numpy.ndarray ), is. So, removing the above line of code, would fix the error.
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