issue_comments: 1530131533
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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| https://github.com/pydata/xarray/issues/7790#issuecomment-1530131533 | https://api.github.com/repos/pydata/xarray/issues/7790 | 1530131533 | IC_kwDOAMm_X85bM_RN | 5821660 | 2023-05-01T19:53:53Z | 2023-05-01T19:53:53Z | MEMBER | @christine-e-smit I've plugged your code into a fresh notebook, here is my output: ```python xarray created with NaT fill value<xarray.DataArray 'time' (time: 2)> array([ 'NaT', '2023-01-02T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] NaT 2023-01-02 xarray created read with NaT fill value<xarray.DataArray 'time' (time: 2)> array([ 'NaT', '2023-01-02T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] NaT 2023-01-02 {} {'chunks': (2,), 'preferred_chunks': {'time': 2}, 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0), 'filters': None, '_FillValue': -9223372036854775808, 'units': 'nanoseconds since 1970-01-01', 'calendar': 'proleptic_gregorian', 'dtype': dtype('int64')} ``` The output seems OK on my side. I've no idea why the data isn't correctly decoded as NaT on your side. I've checked that my environment is comparable to yours. The only difference remaining is you are on Darwin arm64 whereas I'm on Linux. ``` INSTALLED VERSIONS commit: None python: 3.11.2 | packaged by conda-forge | (main, Mar 31 2023, 17:51:05) [GCC 11.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-144-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: de_DE.UTF-8 LOCALE: ('de_DE', 'UTF-8') libhdf5: 1.14.0 libnetcdf: None xarray: 2023.4.2 pandas: 2.0.1 numpy: 1.24.3 scipy: 1.10.1 netCDF4: None pydap: None h5netcdf: 1.1.0 h5py: 3.8.0 Nio: None zarr: 2.14.2 cftime: None nc_time_axis: None PseudoNetCDF: None iris: None bottleneck: None dask: 2023.3.2 distributed: 2023.3.2 matplotlib: None cartopy: None seaborn: None numbagg: None fsspec: 2023.3.0 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 67.6.1 pip: 23.0.1 conda: None pytest: 7.2.2 mypy: 0.982 IPython: 8.12.0 sphinx: None ``` |
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