issues: 1231399637

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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
1231399637 I_kwDOAMm_X85JZarV 6589 xarray improperly decodes times from a NetCDF when it is a uint 992873 closed 0     1 2022-05-10T16:17:52Z 2022-05-15T14:42:32Z 2022-05-15T14:42:32Z NONE      

What happened?

xarray improperly decodes times from a NetCDF when it is a uint. The attached CDL file generates a NetCDF file with the right time ('good_time') and the wrong time ('time') (use ncgen -o both_times.nc -k nc4 both_times.txt)

What did you expect to happen?

time to be properly decoded (see good_time).

Minimal Complete Verifiable Example

```Python import xarray as xr

xr.open_dataset('both_times.nc').good_time xr.open_dataset('both_times.nc').time ```

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [X] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

```Python In [1]: xr.open_dataset('both_times.nc').good_time <xarray.DataArray 'good_time' (trajectory: 284)> array(['2018-08-22T03:23:03.000000000', '2018-08-22T03:23:53.000000000', '2018-08-22T03:25:55.000000000', ..., '2018-08-22T08:18:10.000000000', '2018-08-22T08:19:00.000000000', '2018-08-22T08:19:50.000000000'], dtype='datetime64[ns]') Coordinates: * trajectory (trajectory) uint32 0 1 2 3 4 5 6 ... 278 279 280 281 282 283 Attributes: axis: T long_name: Time of observation standard_name: time

In [2]: xr.open_dataset('both_times.nc').time <xarray.DataArray 'time' (trajectory: 284)> array(['2018-08-22T03:23:03.000000000', '2018-08-22T03:23:05.755359744', '2018-08-22T03:23:03.201308160', ..., '2018-08-22T03:23:06.144805888', '2018-08-22T03:23:04.605198336', '2018-08-22T03:23:03.065590784'], dtype='datetime64[ns]') Coordinates: * trajectory (trajectory) uint32 0 1 2 3 4 5 6 ... 278 279 280 281 282 283 Attributes: standard_name: time long_name: Time of observation axis: T ```

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.8.13 | packaged by conda-forge | (default, Mar 25 2022, 06:04:10) [GCC 10.3.0] python-bits: 64 OS: Linux OS-release: 3.10.0-1160.62.1.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.10.6 libnetcdf: 4.8.0 xarray: 2022.3.0 pandas: 1.4.2 numpy: 1.22.3 scipy: 1.7.0 netCDF4: 1.5.7 pydap: None h5netcdf: 1.0.0 h5py: 3.3.0 Nio: None zarr: 2.11.3 cftime: 1.6.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: 0.9.10.1 iris: None bottleneck: 1.3.4 dask: 2022.04.1 distributed: 2022.4.1 matplotlib: 3.5.1 cartopy: None seaborn: 0.11.2 numbagg: None fsspec: 2021.06.1 cupy: None pint: 0.19.1 sparse: None setuptools: 62.1.0 pip: 22.0.4 conda: 4.12.0 pytest: 7.1.1 IPython: 8.2.0 sphinx: 4.5.0 
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   completed 13221727 issue

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