This one seem to work

` from clearml import Task
task = Task.init(...)
import matplotlib.pyplot as plt
import numpy as np

plt.style.use('_mpl-gallery')

make data:

np.random.seed(10)
D = np.random.normal((3, 5, 4), (0.75, 1.00, 0.75), (200, 3))

plot:

fig, ax = plt.subplots()

vp = ax.violinplot(D, [2, 4, 6], widths=2,
showmeans=False, showmedians=False, showextrema=False)

styling:

for body in vp['bodies']:
body.set_alpha(0.9)
ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
ylim=(0, 8), yticks=np.arange(1, 8))

plt.show() `

I can share the specific bit that's not being logged. I can't share much more. It's a violin plot.
plt_data = [df[df.col1 == x][col2] for x in df.col1.unique()] plt.violinplot(plt_data) plt.show()

Yap, this way works. I changed mine and it works now. Thank you

I think the main diference was that I was using the plt directly but you used the ax from the subplots function. Maybe clearml doesn't pick up the plt function directly.

FrothyShark37 what was different in your script ?

Can you post here the actual line? seems like we can fix it to also support this scenario (if we could test it)

Updated to 1.8.0. Still no plot logging.

Thanks FrothyShark37
I just verified, this would work as well, I suspect what was missing is the plt.show call, this is the actual call that triggers clearml

Hi FrothyShark37
Can you verify with the latest version?
pip install -U clearml

FrothyShark37 any chance you can share snippet to reproduce?

it was in my first code bit. that's how I created the plot
plt.violinplot(plt_data)