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Save 'S1' array without the char_dim_name dimension #3407

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@zxdawn

Description

@zxdawn

MCVE Code Sample

import numpy as np
import xarray as xr
tstr='2019-07-25_00:00:00'
Times = xr.DataArray(np.array([" ".join(tstr).split()], dtype = 'S1'), dims = ['Time', 'DateStrLen'])
ds = xr.Dataset({'Times':Times})
ds.to_netcdf('test.nc', format='NETCDF4',encoding={'Times': {'zlib':True, 'complevel':5}}, unlimited_dims={'Time':True})

Expected Output

Because I want to use the nc file as the input of WRF model,
I just need Time and DateStrLen two dimensions.

ncdump -h test.nc:

netcdf test {
dimensions:
        Time = UNLIMITED ; // (1 currently)
        DateStrLen = 19 ;
variables:
        char Times(Time, DateStrLen) ;
}

Although it's possible to set the exact char_dim_name to Time like #2895,
but I need the unlimited Time dimension as the first one.

Problem Description

This is the actual output of ncdump -h test.nc:

netcdf test {
dimensions:
        Time = UNLIMITED ; // (1 currently)
        DateStrLen = 19 ;
        string1 = 1 ;
variables:
        char Times(Time, DateStrLen, string1) ;
}

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 3.0.76-0.11-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.1 libnetcdf: 4.4.1.1

xarray: 0.13.0
pandas: 0.25.1
numpy: 1.17.2
scipy: 1.3.1
netCDF4: 1.3.1
pydap: None
h5netcdf: None
h5py: 2.8.0
Nio: None
zarr: 2.3.2
cftime: None
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: 2.5.0
distributed: 2.5.2
matplotlib: 3.1.1
cartopy: 0.17.0
seaborn: None
numbagg: None
setuptools: 41.2.0
pip: 19.2.3
conda: None
pytest: None
IPython: 7.8.0
sphinx: None

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