matplotlib.pyplot functions creating new figures instead of applyting to the current one

问题

I'm starting to learn matplotlib, following the pyplot tutorial, but something weird—I think—is happening in the very first part.

When I do this,

import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')
plt.show()

plt.plot([1, 2, 3, 4]) creates the figure, but plt.ylabel('some numbers') creates another figure with the label but with no plot. Nothing about this is mentioned in the tutorial, and I have been reading about the plt functions to see if this is supposed to happen and/or how to fix it, but can't find anything. What can I do about this?

I just installed matplotlib 3.1.3 and I'm running Python 3.7.6 on Spyder 4.0.1

I see that, in this version of Spyder, I don't need to use plt.show(), because all figures are shown in the 'Plots' pane.

Thanks in advance.

EDIT 1

I HAVEN'T FOUND AN ANSWER FOR THIS.

If I copy and paste these two lines into my shell:

plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')

I get the label applied to the figure with the plot, as it should, but, if I execute them one at a time, I get the situation described above. I'd like to know why this is happening and if it should be happening.

回答1:

  Okay I'm executing the same block of code and this is the returning output.

 You should try upgrade to a newer version (I've used 3.2.2).

来源：https://stackoverflow.com/questions/62794236/matplotlib-pyplot-functions-creating-new-figures-instead-of-applyting-to-the-cur