issues: 427768540

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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
427768540 MDU6SXNzdWU0Mjc3Njg1NDA= 2862 cannot properly .close() a dataset opened with `chunks` argument? 24368151 open 0     2 2019-04-01T15:23:06Z 2019-04-08T12:29:48Z   NONE      

I want to do operations on a copy of a dataset and then overwrite the NetCDF it was read from: python f = xr.open_dataset('dataset.nc') n = f.copy(deep=True) f.close() n.to_netcdf(path='dataset.nc')

Problem description

The above works, however if I use the chunks argument while opening the dataset, a KeyError: 'tcw' is thrown. The NetCDF on disk is also corrupted. It happens both with deep=True or deep=False .

Expected Output

Although not an expert of Dask, it kind of makes sense that close doesn't really close when evaluated lazily if I still need things from it afterwards, so maybe that is the correct behaviour and we should just handle the exception ? or should I compute() after closing? really not sure.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None xarray: 0.11.0 pandas: 0.24.1 numpy: 1.15.4 scipy: None netCDF4: 1.4.2 h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.0.3.4 PseudonetCDF: None rasterio: 1.0.13 iris: None bottleneck: None cyordereddict: None dask: 1.1.4 distributed: 1.26.0 matplotlib: None cartopy: None seaborn: None setuptools: 40.7.3 pip: 19.0.1 conda: None pytest: 4.2.1 IPython: 7.2.0 sphinx: None 
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     13221727 issue

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