issues: 932444037

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
932444037 MDU6SXNzdWU5MzI0NDQwMzc= 5549 Time is not correctly saved to disk netcdf 12760310 open 0     0 2021-06-29T10:00:36Z 2021-06-29T10:00:36Z   NONE      

What happened: When trying to write a dataset to netcdf file using the netcdf4 engine time is not saved correctly.

What you expected to happen: Time to be saved correctly as in the original dataset.

Minimal Complete Verifiable Example:

python ds.to_netcdf(filename, encoding={product_type: {'zlib': True, 'complevel': 9}}, engine='netcdf4')

is giving me the warning SerializationWarning: saving variable time with floating point data as an integer dtype without any _FillValue to use for NaNs

xarray Dataset

saved on disk (notice time values)

I cannot see anything special in the time array...is there a limitation because of the compression?

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.8.8 | packaged by conda-forge | (default, Feb 20 2021, 16:22:27) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 3.10.0-229.1.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.utf8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.17.0 pandas: 1.2.3 numpy: 1.20.1 scipy: 1.6.3 netCDF4: 1.5.6 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.5.0 nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.2 cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.3.4 cartopy: 0.18.0 seaborn: 0.11.1 numbagg: None pint: 0.17 setuptools: 49.6.0.post20210108 pip: 21.1.1 conda: 4.10.2 pytest: None IPython: 7.21.0 sphinx: None 
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     13221727 issue

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