[Matplotlib-users] type error with python 3.2 and version 1.1.1 of matplotlib (numpy error)

[Paul T. <pau...@gm...>]

The following Python code:

>>ax.fill_between(dates, lower, upper, facecolor='gray', alpha=0.5)

Produces this error with Python 3.2:

Traceback (most recent call last):
  File "scripts/audit_reports_weekly.py", line 150, in <module>
    ax.fill_between(dates, lower, upper, facecolor='gray', alpha=0.5)
  File
"/home/local/ANT/ptrembl/.local/lib/python3.2/site-packages/matplotlib/axes.py",
line 6741, in fill_between
    y1 = ma.masked_invalid(self.convert_yunits(y1))
  File
"/home/local/ANT/ptrembl/.local/lib/python3.2/site-packages/numpy/ma/core.py",
line 2241, in masked_invalid
    condition = ~(np.isfinite(a))
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''


[Decimal('3619.900530366609820157812617'), .....]

If I change the list from type Decimal to type float, then I don't get the
error. Likewise, if I use Python 2.7, I also don't get an error.

After reading over the error message, I realize that this error really
results because of numpy, not matplotlib. But I'll go ahead and post this
message, in case you are unaware of the problem.