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Setting axis ticks in log scale produces duplicate tick labels. #11575
Description
Bug report
Bug summary
Setting axis ticks in a small log scale produces duplicate tick labels.
Code for reproduction
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
s = 10
ax.axis([s, 100, 10, 100])
ax.loglog([20, 30], [30, 40])
from matplotlib.ticker import ScalarFormatter
for axis in [ax.xaxis, ax.yaxis]:
axis.set_major_formatter(ScalarFormatter())
ax.set_xticks([20, 55])
ax.set_yticks([20, 55])
plt.show()Actual outcome
change code a little bit
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
s = 9
ax.axis([s, 100, 10, 100])
ax.loglog([20, 30], [30, 40])
from matplotlib.ticker import ScalarFormatter
for axis in [ax.xaxis, ax.yaxis]:
axis.set_major_formatter(ScalarFormatter())
ax.set_xticks([20, 55])
ax.set_yticks([20, 55])
plt.show()Expected outcome
Matplotlib version
- Operating system: Ubuntu 16.04
- Matplotlib version: 2.2.2
- Matplotlib backend: Qt5Agg
- Python version: 3.6
Activity
ImportanceOfBeingErnest commented on Jul 5, 2018
I think there is already an issue about this somewhere around (which I can't find currently).
For some (maybe desired?) reason, minor ticks are labelled as well, depending on the axis bounds.
A workaround is to turn them off.
import matplotlib.pyplot as plt fig, ax = plt.subplots() s = 10 ax.axis([s, 100, 10, 100]) ax.loglog([20, 30], [30, 40]) from matplotlib.ticker import ScalarFormatter, NullFormatter for axis in [ax.xaxis, ax.yaxis]: axis.set_major_formatter(ScalarFormatter()) axis.set_minor_formatter(NullFormatter()) ax.set_xticks([20, 55]) ax.set_yticks([20, 55]) plt.show()tacaswell commented on Jul 5, 2018
See https://matplotlib.org/users/dflt_style_changes.html#logformatter-labeling-of-minor-ticks
The underlying issue is we made the defaults better, but did so in a way that broke people's existing work-arounds.
timhoffm commented on Jan 28, 2019
Related: #13112, #13126.