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python Programming Glossary: np.frombufferGetting data from ctypes array into numpy http://stackoverflow.com/questions/4355524/getting-data-from-ctypes-array-into-numpy I was only able to get it into numpy via a super awkward np.frombuffer np.core.multiarray.int_asbuffer ctypes.addressof y.contents.. object has no attribute '__array_interface__' Is this np.frombuffer approach the best or only way to do this I am open to other..
How to convert pointer to c array to python array http://stackoverflow.com/questions/7543675/how-to-convert-pointer-to-c-array-to-python-array Data were c_double DataLength.value array then you could a np.frombuffer Data # no copy. Changes in `a` are reflected in `Data` If Data.. DataLength.value addr ctypes.addressof Data.contents a np.frombuffer ArrayType.from_address addr Or array_pointer ctypes.cast Data.. array_pointer ctypes.cast Data ctypes.POINTER ArrayType a np.frombuffer array_pointer.contents Both methods convert POINTER c_double..
Use numpy array in shared memory for multiprocessing http://stackoverflow.com/questions/7894791/use-numpy-array-in-shared-memory-for-multiprocessing array with shared_arr.get_lock # synchronize access arr np.frombuffer shared_arr.get_obj # no data copying arr i arr i Example import.. not passed as an argument def tonumpyarray mp_arr return np.frombuffer mp_arr.get_obj def f i synchronized. with shared_arr.get_lock..
Can I create a shared multiarray or lists of lists object in python for multiprocessing? http://stackoverflow.com/questions/9754034/can-i-create-a-shared-multiarray-or-lists-of-lists-object-in-python-for-multipro in each new process create a new numpy array using arr np.frombuffer mp_arr.get_obj # mp_arr and arr share the same memory # make..
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