I am trying to make some Julia code work with Python, and I am having some trouble understanding why certain kind of Julia arrays are able to translate to NumPy arrays. A regular Julia Array seems to get translated just fine, but if I try to use @view or reinterpret I get a Python list rather than a…

Ok, here’s the self contained hack: julia> using PyCall julia> A = rand(Int, 256); julia> pytypeof( PyObject(reinterpret(UInt64, A)) ) PyObject <class 'list'> julia> pytypeof( PyObject(@view(A[1:100])) ) PyObject <class 'list'> julia> module PyCallHack import PyCall: NpyArray, PYARR_…

Converting Julia arrays, views to NumPy arrays via PyCall

General Usage

cjdoris May 17, 2021, 9:13pm 6

You might like to try my package GitHub - cjdoris/PythonCall.jl: Python and Julia in harmony., all mutable objects do non-copying conversion to Python and any strided array is usable as a numpy array.

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Converting Julia arrays, views to NumPy arrays via PyCall

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