Constructing an array from memory address

Question

I have done this function that uses ctypes to create an object with a buffer protocol that points to a specified address:

import numpy as np

def np_buffer_from_address(shape, dtype, address):
    import ctypes
    return np.ndarray(shape, dtype = dtype, buffer = ctypes.c_void_p.from_address(address))

But I wanted to know if I can do this without using ctypes. If you can do it directly with numpy

What's the source of the address? In the link I show that you can use the .data attribute of another array. stackoverflow.com/a/39377877/901925 — hpaulj
– hpaulj, Commented Sep 27, 2017 at 16:22
numpy.ctypes might help; docs.scipy.org/doc/numpy-1.13.0/reference/generated/… — hpaulj
– hpaulj, Commented Sep 27, 2017 at 16:32

lomereiter · Accepted Answer · 2017-09-27 15:04:01Z

2

You can avoid ctypes by using just the standardized __array_interface__, here's an example how it works: Creating a NumPy array directly from __array_interface__ (in fact, numpy.ctypeslib.as_array does the same under the hood, setting typestr and data appropriately)

answered Sep 27, 2017 at 15:04

lomereiter

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