8000 Actually ignore invalid log-axis limit setting by dstansby · Pull Request #10950 · matplotlib/matplotlib · GitHub
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Actually ignore invalid log-axis limit setting #10950

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Apr 23, 2018
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35 changes: 27 additions & 8 deletions lib/matplotlib/axes/_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -3047,10 +3047,20 @@ def set_xlim(self, left=None, right=None, emit=True, auto=False, **kw):
'left=%s, right=%s') % (left, right))
left, right = mtransforms.nonsingular(left, right, increasing=False)

if self.get_xscale() == 'log' and (left <= 0.0 or right <= 0.0):
warnings.warn(
'Attempted to set non-positive xlimits for log-scale axis; '
'invalid limits will be ignored.')
if self.get_xscale() == 'log':
if left <= 0.0:
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actually 0 instead of 0.0 would be sufficient (also following occurrences). Not a merge blocker though, if you don't want to change it.

warnings.warn(
'Attempted to set non-positive left xlim on a '
'log-scaled axis.\n'
'Invalid limit will be ignored.')
left = old_left
if right <= 0.0:
warnings.warn(
'Attempted to set non-positive right xlim on a '
'log-scaled axis.\n'
'Invalid limit will be ignored.')
right = old_right

left, right = self.xaxis.limit_range_for_scale(left, right)

self.viewLim.intervalx = (left, right)
Expand Down Expand Up @@ -3367,10 +3377,19 @@ def set_ylim(self, bottom=None, top=None, emit=True, auto=False, **kw):

bottom, top = mtransforms.nonsingular(bottom, top, increasing=False)

if self.get_yscale() == 'log' and (bottom <= 0.0 or top <= 0.0):
warnings.warn(
'Attempted to set non-positive ylimits for log-scale axis; '
'invalid limits will be ignored.')
if self.get_yscale() == 'log':
if bottom <= 0.0:
warnings.warn(
'Attempted to set non-positive bottom ylim on a '
'log-scaled axis.\n'
'Invalid limit will be ignored.')
bottom = old_bottom
if top <= 0.0:
warnings.warn(
'Attempted to set non-positive top ylim on a '
'log-scaled axis.\n'
'Invalid limit will be ignored.')
top = old_top
bottom, top = self.yaxis.limit_range_for_scale(bottom, top)

self.viewLim.intervaly = (bottom, top)
Expand Down
0