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

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@szsdk

Description

@szsdk
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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

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