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lucasb-eyer avatar lucasb-eyer commented on September 14, 2024

I ran into the same problem, maybe we can work out a solution together. The crash seems to happen when unpacking the return values, as opposed to in the actual call. I'm saying this because if you call foo = subplots(3,3) it doesn't crash!

I got as far as this:

(fig, ax) = convert((Figure, PyArray), subplots(3, 3))

Now ax contains an array of pointers to PyObjects. I then tried

ax = reshape([unsafe_load(a) for a in ax], size(ax))

to get a julia Array of PyObjects. The problem is that I didn't succeed using these axes yet.

from pyplot.jl.

malmaud avatar malmaud commented on September 14, 2024

Glad to hear someone else was bothered by this (I use subplots all the time). I think I figured out the problems (there were two issues): First, the iteration logic on PyObjects was broken. Second, numpy record types (like what's returned by subplots) were not being automatically converted to Julia arrays.

from pyplot.jl.

lucasb-eyer avatar lucasb-eyer commented on September 14, 2024

Works like a charm. Once this is merged, we can plot things like

x = linspace(0,2*pi,1000); y = sin(3*x + 4*cos(2*x));
(fig, ax) = subplots(2, 2, sharex=true, sharey=true)
ax[1][:plot](x, y, color="red", linewidth=2.0, linestyle="--")
ax[2][:plot](x, y, color="green", linewidth=2.0, linestyle="--")
ax[3][:plot](x, y, color="blue", linewidth=0.5, linestyle="--")
ax[4][:plot](x, y, color="orange", linewidth=2.0, linestyle="-")

from pyplot.jl.

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