netcdf4-python datetime casting #2181
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i think this should be evaluated against an unpinned matplotlib (thus an unpinned netcdf4-python), for python2 and python3, away from travis before the change is merged as it is in preparation for unpinning matplotlib |
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I believe this supports that this change is valid, though it is very noisy due to outstanding python3 failures |
bjlittle
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Oct 12, 2016
lib/iris/fileformats/pp_rules.py
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| if t.minute == 0 and t.second == 0: | ||
| epoch_hours = round(epoch_hours) | ||
| return epoch_hours | ||
| return float(epoch_hours) |
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@marqh A comment explaining the use of the cast would be useful here ...
bjlittle
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Oct 12, 2016
| # numpy.float64. The behaviour of round is to recast this to an | ||
| # int, which is not the desired behaviour for PP files. | ||
| # So, cast the answer to numpy.float_ to be safe. | ||
| epoch_hours = np.float_(epoch_hours_unit.date2num(t)) |
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possible fix for netcdf4-python behaviour change
in pp_rules date time calculations used to return floats, and still do in python2 but not in python3
iris/lib/iris/fileformats/pp_rules.py
Line 486 in 1c195e0
this manifested as a change in a doctest, but looks like a widespread issue where cubes are created using
hours_from_t1_to_t2and such like
iris/lib/iris/fileformats/pp_rules.py
Line 507 in 1c195e0
this work around may fix the problem