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In the TransientVariable.__new__ method, the following code assign a NaN value to the fill_value attribute:
TransientVariable.__new__ method
fill_value = numpy.array(fill_value).astype(dtype),
So, for instance:
>>> numpy.isnan(MV2.array(0.).fill_value) True
The text was updated successfully, but these errors were encountered:
commented already onyuor other post. It gets really really bad in numpy 1.9.1 ... I think a huge overhaul is needed at this point...
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@doutriaux1 as noted in #481 is the so called "VTK readers" a possible path forward here?
Maybe.
6599f48
Merge pull request #1508 from UV-CDAT/issue_959_default_fill_is_nan
c9d77ed
fix #959 No error found in buildbot for the new code. Seems to have pass the build.
doutriaux1
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In the
TransientVariable.__new__ method
, the following code assign a NaN value to the fill_value attribute:So, for instance:
The text was updated successfully, but these errors were encountered: