ncfile_cf = "x07z00017_cf.nc" with xr.open_dataset(ncfile_cf, group="x07") as ds: ds_data_cf = ds.copy(deep=True) print(ds_data_cf) <xarray.Dataset> Dimensions: (time1: 100000, time2: 2) Dimensions without coordinates: time1, time2 Data variables: aps (time1) float64 ... iact (time1) float64 ... vact (time1) float64 ... dps (time1) float64 ... tss (time2) float64 ...Problem description
When reading a sub group from a netCDF file with dimensions defined in the root group, the dimensions are not read from the root group. This contradicts the netCDF documentation, which states that dimensions are scoped such that they can be seen by all sub groups.
The attached netCDF file demonstrates this issue.
x07z00017_cf.nc.zip
The dimensions from the root group should be used when reading the sub-group.
with xr.open_dataset(ncfile_cf) as ds: for coord in ds.coords: ds_data_cf.coords[coord] = ds[coord] print(ds_data_cf) <xarray.Dataset> Dimensions: (time1: 100000, time2: 2) Coordinates: * time1 (time1) float64 0.0 1e-06 2e-06 3e-06 4e-06 5e-06 6e-06 7e-06 ... * time2 (time2) float64 0.0 0.1 Data variables: aps (time1) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 ... iact (time1) float64 -0.00125 -0.000625 -0.00125 -0.0009375 ... vact (time1) float64 -0.009375 -0.009375 -0.01875 -0.01875 -0.009375 ... dps (time1) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... tss (time2) float64 0.0 0.0Output of
xr.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Linux
OS-release: 4.13.0-36-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8
xarray: 0.10.0
pandas: 0.22.0
numpy: 1.13.3
scipy: 1.0.0
netCDF4: 1.3.1
h5netcdf: None
Nio: None
bottleneck: 1.2.1
cyordereddict: None
dask: 0.15.3
matplotlib: 2.1.0
cartopy: None
seaborn: 0.8.0
setuptools: 38.5.1
pip: 9.0.1
conda: 4.4.11
pytest: 3.2.1
IPython: 6.2.1
sphinx: 1.6.3
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