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Log Scale: FloatingPointError: underflow encountered in power #15331

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ptoews opened this issue Sep 23, 2019 · 1 comment · Fixed by #15258
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Log Scale: FloatingPointError: underflow encountered in power #15331

ptoews opened this issue Sep 23, 2019 · 1 comment · Fixed by #15258
Milestone
v3.2.0

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@ptoews
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ptoews commented Sep 23, 2019

Bug report

Bug summary

When setting the scale to log on an empty axis while having numpy error handling set to raise, a FloatingPointError is thrown. When plotting data beforehand, everything works fine.

This is an issue for me, because I'm trying to plot multiple subplots with shared y axes after each other, where this issue occurs as well. For some reason in that context the error handling seems to bet set to raise.

Issue #4285 is related but the stack trace is different and this issue is not dependent on data.

Code for reproduction

import matplotlib.pyplot as plt
import numpy as np

np.seterr(all="raise")

#plt.plot([1], [1])
plt.yscale("log")

Actual outcome

Traceback (most recent call last):
  File ".../.PyCharmCE2019.2/config/scratches/scratch_44.py", line 7, in <module>
    plt.yscale("log")
  File ".../venv/lib/python3.6/site-packages/matplotlib/pyplot.py", line 3088, in yscale
    return gca().set_yscale(value, **kwargs)
  File ".../venv/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 3711, in set_yscale
    self.autoscale_view(scalex=False)
  File ".../venv/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2498, in autoscale_view
    'minposy', self.yaxis, self._ymargin, y_stickies, self.set_ybound)
  File ".../venv/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2486, in handle_single_axis
    x0, x1 = inverse_trans.transform([x0t, x1t])
  File ".../venv/lib/python3.6/site-packages/matplotlib/transforms.py", line 1394, in transform
    res = self.transform_affine(self.transform_non_affine(values))
  File ".../venv/lib/python3.6/site-packages/matplotlib/scale.py", line 334, in transform_non_affine
    return ma.power(self.base, a)
  File ".../venv/lib/python3.6/site-packages/numpy/ma/core.py", line 6717, in power
    result = np.where(m, fa, umath.power(fa, fb)).view(basetype)
FloatingPointError: underflow encountered in power

Matplotlib version

  • Operating system: Ubuntu 18.04
  • Matplotlib version: 3.1.1
  • Matplotlib backend (print(matplotlib.get_backend())): TkAgg
  • Python version: 3.6.8
  • Other libraries: Numpy == 1.17.2

All packages were installed using pip.
@tacaswell tacaswell added this to the v3.3.0 milestone Sep 24, 2019
@anntzer
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anntzer commented Sep 26, 2019

This is fixed by #15258.

@anntzer anntzer mentioned this issue Sep 28, 2019
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@QuLogic QuLogic modified the milestones: v3.3.0, v3.2.0 Oct 3, 2019
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Don't fallback to view limits when autoscale()ing no data. anntzer/matplotlib
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@tacaswell @QuLogic @ptoews @anntzer