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

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1. ImportanceOfBeingErnest commented on Jul 5, 2018

   

   ImportanceOfBeingErnest

   on Jul 5, 2018

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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()
   

   
2. tacaswell commented on Jul 5, 2018

   

   tacaswell

   on Jul 5, 2018

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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.
3. timhoffm commented on Jan 28, 2019

   

   timhoffm

   on Jan 28, 2019

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   Related: #13112, #13126.
4. jklymak

   closed this as completedin #13314on Feb 23, 2019
5. QuLogic

   added this to the v3.1.0 milestone on Feb 23, 2019