Closed
Description
In 1.3.1, the following code used to work:
import matplotlib
import matplotlib.pyplot as plt
ax = plt.gca()
matplotlib.colorbar.ColorbarBase(ax, plt.cm.bone)
But now, I get an error:
/home/me/.virtualenvs/py27/matplotlib/lib/matplotlib/colorbar.py in _process_values(self, b)
656 self.norm.vmin, self.norm.vmax = mtrans.nonsingular(self.norm.vmin,
657 self.norm.vmax,
--> 658 expander=0.1)
659 if not self.norm.scaled():
660 self.norm.vmin = 0
/home/me/.virtualenvs/py27/matplotlib/lib/matplotlib/transforms.py in nonsingular(vmin, vmax, expander, tiny, increasing)
2640 returns -*expander*, *expander*.
2641 '''
-> 2642 if (not np.isfinite(vmin)) or (not np.isfinite(vmax)):
2643 return -expander, expander
2644 swapped = False
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
The issue is that vmin and vmax are both None.
Using git bisect, I was able to track it down to e9f9e6c which relates to #2642. I'm not familiar enough with the matplotlib internals to know the overall intent here. Is this a regression or the new, preferred behavior? If so, how should I be modifying the code? @efiring, I'm guessing you'll figure this one out with a quick glance.