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ticklabels on log axes sometimes adds overwritten labels on top of existing ones #8622
Description
Bug report
For log axes setting the tick labels sometimes just adds new labels on top of the existing ones.
Code for reproduction
# Paste your code here
#Demonstration using the Agg backend, but this also happened for me with others.
import matplotlib
matplotlib.use('agg')
from matplotlib import pyplot as plt
# Some data I found that triggered this bug
x = [100,200,300,400,500,600,700,800,900,1000]
y = [ 1.7, 1.2, 0.98, 0.87, 0.76, 0.69, 0.62, 0.59, 0.56, 0.51]
#Only seems to happen for a log axis. Same error if you do semilogy
plt.loglog(x, y)
#This does not seem to replace the old tick labels, just add new ones
plt.yticks([0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0], ["0.5", "0.6", "0.7", "0.8", "0.9", "1.0", "2.0"])
plt.savefig("test.png")Actual outcome
Expected outcome
Removal of the old tick labels as well as adding the new ones.
Matplotlib version
- Operating System: MacOS Sierra 10.12.4
- Matplotlib Version: 2.0.2
- Python Version: 2.7.13
- Jupyter Version (if applicable): N/A
- Other Libraries: N/a
I used pip to install matplotlib and it downloaded matplotlib-2.0.2-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Activity
joezuntz commentedon May 15, 2017
It looks like this can be solved by minorticks_off(), but I still think this should be considered a bug.
tacaswell commentedon May 15, 2017
This change is documented at http://matplotlib.org/users/dflt_style_changes.html#tick-label-formatting .
The coupling and special casing required to disable the minor ticks when the major ticks are non-default is a bit worrying (I do not see a clean way to do it), but am open to a PR to see what it would look like.
timhoffm commentedon Jul 14, 2020
Does not happen anymore as of master. Possibly closed by #13126.