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ax.get_xaxis().get_minorticklabels() always returns list of empty strings #13968
Description
Bug report
Bug summary
ax.get_xaxis().get_minorticklabels() always returns list of empty strings.
Code for reproduction
import matplotlib
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.set_xscale('log')
ax.set_yscale('log')
ax.set_xlim([2e-2, 2e-1])
ax.set_ylim([2e+1, 2e+3])
ax.plot([0.02, 0.1, 0.2], [20, 1000, 2000])
ax.get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())
ax.get_xaxis().set_minor_formatter(matplotlib.ticker.ScalarFormatter())
fig.canvas.draw()
print([item.get_text() for item in ax.get_xaxis().get_minorticklabels()])
plt.show()Actual outcome
['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']
Expected outcome
['0.00', '0.00', '0.00', '0.01', '0.01', '0.01', '0.01', '0.01', '0.02', '0.03', '0.04', '0.05', '0.06', '0.07', '0.08', '0.09', '0.20', '0.30', '0.40', '0.50', '0.60', '0.70', '0.80', '0.90', '2.00', '3.00', '4.00', '5.00', '6.00', '7.00', '8.00', '9.00', '20.00', '30.00', '40.00', '50.00', '60.00', '70.00', '80.00', '90.00']Matplotlib version
- Operating system: macOS Mojave 10.14.4
- Matplotlib version: 3.0.3
- Matplotlib backend (print(matplotlib.get_backend())): MacOSX
- Python version: 3.7.3
Python installed using homebrew, matplotlib using pip.
Activity
ImportanceOfBeingErnest commented on Apr 15, 2019
Do you get the same with TkAgg backend? I.e. import matplotlib; matplotlib.use("TkAgg")
tdegeus commented on Apr 15, 2019
@ImportanceOfBeingErnest I get an uncaught exception of type NSException when using matplotlib.use("TkAgg")?!?!
ImportanceOfBeingErnest commented on Apr 15, 2019
Ok, that's unfortunate, but is unrelated (you may not have tk inter installed). Would "Qt5Agg" work instead? I'm trying to find out if this is backend dependent, because I cannot reproduce (and don't have a Mac).
tdegeus commented on Apr 15, 2019
@ImportanceOfBeingErnest No such luck. I can say that a colleague on a mac can reproduce this problem (in his case installation through macports)
jklymak commented on Apr 15, 2019
That is very strange. Indeed toggling matplotlib.use('MacOSX') and matplotlib.use('Qt5Agg') give the bug and the expected result respectively.
If you do:
and close the window you get the right answer...
tdegeus commented on Apr 16, 2019
I can reproduce that after plt.show the output is what it should be.