On Tue, Sep 4, 2012 at 2:20 PM, Paul Tremblay <paulhtremb...@gmail.com>wrote:
>
> 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.
>
>
Just a quick note, mpl v1.1.x is not officially supported for py3k. The
upcoming release of v1.2.0 will be the first official release with such
support.
That being said, it probably would be a good idea to make sure where the
bug lies for this one (numpy or matplotlib). Which version of numpy are
you using?
Ben Root
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