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spurious warning with nans in log-scale plot #7143
Description
mpl1.5.3 and mpl2.0b4
semilogy([1, 2, 3], [1, np.nan, 2], "o")
triggers a warning:
/usr/lib/python3.5/site-packages/matplotlib/scale.py:93: RuntimeWarning: invalid value encountered in less_equal
mask = a <= 0.0
due to the comparison that involves a nan. I think this warning should be masked out (likely with the application of a np.errstate at the right place), given that nans are (AFAIK) a fully supported mechanism for hiding a point in a plot, and e.g. do not raise any warning in linear scale.
Activity
efiring commentedon Sep 20, 2016
I agree. The function below that one will need the same treatment. Also
_clip_non_logitand_mask_non_logitfarther down. It's not clear why these pairs of nearly-identical functions are implemented differently. Direct indexing appears to be faster than usingwhere.tacaswell commentedon Sep 20, 2016
Probably related to #7129
Are these warnings new in numpy 1.11?