issues: 383667887

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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
383667887 MDU6SXNzdWUzODM2Njc4ODc= 2563 Scalars from netcdf dataset can't be written with h5netcdf 167802 closed 0     1 2018-11-22T22:44:48Z 2018-12-11T07:24:36Z 2018-12-11T07:24:36Z CONTRIBUTOR      

Code Sample, a copy-pastable example if possible

A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you: http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports

```python import xarray as xr

from netCDF4 import Dataset

def write_netcdf(filename,zlib,least_significant_digit,data,dtype='f4',shuffle=False,contiguous=False,\ chunksizes=None,complevel=6,fletcher32=False): file = Dataset(filename,'w') file.createDimension('n', 1) foo = file.createVariable('data',\ dtype,('n'),zlib=zlib,least_significant_digit=least_significant_digit,\ shuffle=shuffle,contiguous=contiguous,complevel=complevel,fletcher32=fletcher32,chunksizes=chunksizes) foo[:] = data file.close()

write_netcdf("mydatafile.nc",True,None,0.0,shuffle=True, chunksizes=(1,))

data = xr.open_dataset('mydatafile.nc') arr = data['data']

arr[0].to_netcdf('mytestfile.nc', mode='w', engine='h5netcdf')

```

Problem description

The above example crashes with a TypeError since xarray 0.10.4 (works before, hence reporting the error here and not in eg. h5netcdf): TypeError: Scalar datasets don't support chunk/filter options

The problem here is that it is not anymore possible to squeeze an array that comes from a netcdf file that was compressed or filtered.

Expected Output

The expected output is that the creation of the trimmed netcdf file works.

Output of xr.show_versions()

>>> xr.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.6.6.final.0 python-bits: 64 OS: Linux OS-release: 3.10.0-957.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 xarray: 0.11.0 pandas: 0.23.4 numpy: 1.15.4 scipy: 1.1.0 netCDF4: 1.3.1 h5netcdf: 0.6.2 h5py: 2.8.0 Nio: None zarr: None cftime: None PseudonetCDF: None rasterio: 1.0.2 iris: None bottleneck: 1.2.1 cyordereddict: None dask: 0.20.2 distributed: None matplotlib: 3.0.0 cartopy: 0.16.0 seaborn: None setuptools: 40.5.0 pip: 9.0.3 conda: None pytest: None IPython: 6.2.1 sphinx: 1.8.1 
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   completed 13221727 issue

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