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szsdk opened this issue Jul 5, 2018 · 3 comments · Fixed by #13314
Closed

Setting axis ticks in log scale produces duplicate tick labels. #11575

szsdk opened this issue Jul 5, 2018 · 3 comments · Fixed by #13314
Milestone
v3.1.0

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@szsdk
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szsdk commented Jul 5, 2018 •
edited by dstansby
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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
figure_1

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
figure_2

Matplotlib version

  • Operating system: Ubuntu 16.04
  • Matplotlib version: 2.2.2
  • Matplotlib backend: Qt5Agg
  • Python version: 3.6
@ImportanceOfBeingErnest
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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()

image

@tacaswell
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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
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Related: #13112, #13126.

This was referenced Jan 29, 2019
Closed
Merged
@QuLogic QuLogic added this to the v3.1.0 milestone Feb 23, 2019
@anntzer anntzer mentioned this issue Mar 8, 2019
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Move major/minor tick overstrike logic to Axis. anntzer/matplotlib
5 participants
@tacaswell @QuLogic @timhoffm @szsdk @ImportanceOfBeingErnest