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