issue_comments: 1479080036

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https://github.com/pydata/xarray/issues/7652#issuecomment-1479080036 https://api.github.com/repos/pydata/xarray/issues/7652 1479080036 IC_kwDOAMm_X85YKPhk 5821660 2023-03-22T08:12:28Z 2023-03-22T08:58:47Z MEMBER

OK, I've finally gotten to the bottom of this, so I'm writing my findings here:

int64 -> int32

This works with h5netcdf/netcdf4-backends in any case. That's a feature^1 of NETCDF3-format which will be used if scipy is installed and netCDF4 is not installed (in the case of engine=None). It has not notion of int64 so this is silently cast to int32 on write.

<U1 -> object This works with the changes applied in #7654 for h5netcdf/netcdf4-backends in normal cases (writing out as VLEN string). Again, NETCDF3 format does not have a notion of string so all strings have to be converted to an internal NC_CHAR representation. I'm not sure it will do any good to try to make this one work.

My suggestion would be, just use NETCDF4-format and one of the capable backends. 

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