python - RawArray from numpy array? -

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I want to share a numpy array in multiple processes. The process only reads the data, so I want to avoid making copies. I know how to do it if I can start with a multiprocessing.sharedctypes.RawArray and then create a numpy array using the numpy.frombuffer . But what if I get an oval array initially given? Is there any way to start a wireless connection with data of fake array without copying data? Or is there another way to share data in processes without copying it there?

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I also need some of your needs: A) A large numerical array has been given, b) Processes it Need to share between a bunch of c) only for reading etc. And, for this, I am using some of the following lines: 

  mynparray = #initialize a file shrarr_base_ptr = A large array of rawArray (ctypes.c_double, lane * rows * columns) shrarr_ptr = Np.frombuffer (shrarr_base_ptr) shrarr_ptr = mynparray   
 Where in my case, MannPrera ​​is 3D to share as genuine, I used the following style and it worked so far Does.    inq1 = queue () inq2 = queue () outq = queue () p1 = process (target = myfunc1, arg = (inq1, outq,)) p1.start () inq1.put ((Shrarr_ptr,) p2 = process (target = myfunc2, argument = (inq2, outq,)) p2.start () inq2.put ((shrarr_ptr,)) inq1.close () inq2.close () inq1.join_thread () Inq2.join_thread () .....

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