TimelyPenguin76 I also found another plot display bug in trains. If I run multiple functions to produce multiple separate plots, only the first plot is displayed in trains. Could you also please check that as well?
The next version (0.14.0) should be released in a few weeks 🙂 .
Thanks Alon. Roughly when do we expect this new version to be released?
Hi EagerStork23 ,
Thanks for catching this bug.
We also caught this issue, so a fix is scheduled to be released in one of the coming versions.
I'll update here once it will be released 🙂
EagerStork23 However, the issue is only in the presentation of the graph (occurs when all subplots have the same label), so you can use the following workaround for solving it:
` import matplotlib.pyplot as plt
def plot_subplots():
fig = plt.figure()
ax1 = fig.add_subplot(2, 2, 1)
ax2 = fig.add_subplot(2, 2, 2)
ax3 = fig.add_subplot(2, 2, 3)
ax4 = fig.add_subplot(2, 2, 4)
x = range(10)
y = range(10)
ax1.plot(x, y)[0].set_label("label1")
ax2.plot(x, y)[0].set_label("label2")
ax3.plot(x, y)[0].set_label("label3")
ax4.plot(x, y)[0].set_label("label4")
fig.show() `
Hi EagerStork23 , sure, i'll check it, but I will need some more information.
I run this example: https://github.com/allegroai/trains/blob/master/examples/matplotlib_example.py which produced 3 different plots and I can see those in the task's plot section, can you share what you run (general code without data)? Link to the task?