issues: 436669736
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| 436669736 | MDU6SXNzdWU0MzY2Njk3MzY= | 2916 | xr.open_dataset no groups info | 6866371 | open | 0 | 7 | 2019-04-24T12:32:15Z | 2019-07-13T21:42:34Z | NONE | Code Sample, a copy-pastable example if possibleI have to write some data to disk using xr.to_netcdf() method. The data must be structured in groups so i use the group key word. Reading the .nc file from disk leads to empty data variables if group not supplied. Here some samples ```python data_ds.to_netcdf(path=savepath,mode='w',format='NETCDF4',group='Audio',engine='netcdf4') datafromdisk = xr.open_dataset(savepath) datafromdisk <xarray.Dataset> Dimensions: () Data variables: empty datafromdisk = xr.open_dataset(savepath,group='Audio') <xarray.Dataset> Dimensions: (time: 15360000) Coordinates: * time (time) datetime64[ns] 2017-05-30T07:40:00 ... 2017-05-30T07:49:59.992280938 Data variables: audio (time) float32 ... Attributes: unit: Pa ``` Problem descriptionActually this is not a real problem, if you keep in mind what data groups are strored in a .nc file. At the moment, i work arround with netCDF4 to get infos about possible groups within a .nc file. ```python from netCDF4 import Dataset rootgrp = Dataset(savepath) rootgrp <class 'netCDF4._netCDF4.Dataset'> root group (NETCDF4 data model, file format HDF5): dimensions(sizes): variables(dimensions): groups: Audio orrootgrp.groups OrderedDict([('Audio', <class 'netCDF4._netCDF4.Group'> group /Audio: unit: Pa dimensions(sizes): time(15360000) variables(dimensions): float32 audio(time), float64 time(time) groups: )]) ``` Expected OutputWell, at least something like this i would appreciate: ```python datafromdisk = xr.open_dataset(savepath) datafromdisk <class 'netCDF4._netCDF4.Dataset'> root group (NETCDF4 data model, file format HDF5): dimensions(sizes): variables(dimensions): groups: Audio ``` Output of
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13221727 | issue |