I am still new to Julia, so just wanted to incrementally test out some features. One thing I wanted to try was accelerating some python code I have by offloading it to Julia. The first scenario is simple. So I have a dictionary of model settings that I want to pass to Julia. Then after running the …

If you just want to “get back a numpy array”, you don’t need to do anything: julia> using PyCall julia> py""" def printflags(xs): print(xs.flags) """ julia> pyprintflags = py"printflags" PyObject <function printflags at 0x7fe387b5cea0> julia> pyprintflags(ones(2, 3)) C…

A minimal example is something like this julia> using PyCall julia> py""" import numpy xs = numpy.ones((2, 3)) """ julia> xs = PyArray(py"xs"o) 2×3 PyArray{Float64,2}: 1.0 1.0 1.0 1.0 1.0 1.0 julia> xs[1, 1] = 2 2 julia> py""" print(xs) """ [[2. 1. 1.] …

Passing numpy arrays between python and Julia

General Usage

00krishna June 29, 2019, 1:38am 3

Hey @tkf this is helpful. I had not seen this approach to interrogating the calls, so that is nice. Do you know the corresponding python code to call into Julia? Like if I am in python and I wanted to pass the array to a Julia function.

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Passing numpy arrays between python and Julia

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