The cf.Field.has_construct method returns False unless a construct key is used #67
Description
In [12]: import cf
In [13]: f = cf.example_field(0)
In [14]: print(f.constructs)
Constructs:
{'cellmethod0': <CF CellMethod: area: mean>,
'dimensioncoordinate0': <CF DimensionCoordinate: latitude(5) degrees_north>,
'dimensioncoordinate1': <CF DimensionCoordinate: longitude(8) degrees_east>,
'dimensioncoordinate2': <CF DimensionCoordinate: time(1) days since 2018-12-01 >,
'domainaxis0': <CF DomainAxis: size(5)>,
'domainaxis1': <CF DomainAxis: size(8)>,
'domainaxis2': <CF DomainAxis: size(1)>}
In [15]: f.has_construct('dimensioncoordinate2')
Out[15]: True
In [16]: f.has_construct('T')
Out[16]: False
We should have:
>>> f.has_construct('T')
True
- The version of the software and the environment in which you are encountering an issue. The output of
cf.environment(paths=False)is useful for this.
Platform: Linux-5.3.0-46-generic-x86_64-with-debian-buster-sid
HDF5 library: 1.10.4
netcdf library: 4.6.3
udunits2 library: libudunits2.so.0
python: 3.7.3
netCDF4: 1.5.3
cftime: 1.1.1
numpy: 1.18.1
psutil: 5.4.7
scipy: 1.4.1
matplotlib: 3.2.0
ESMF: 8.0.0
cfdm: 1.8.1
cfunits: 3.2.6
cfplot: not available
cf: 3.3.0