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  • Representing missing values in string arrays on disk · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
533996035 https://github.com/pydata/xarray/issues/1647#issuecomment-533996035 https://api.github.com/repos/pydata/xarray/issues/1647 MDEyOklzc3VlQ29tbWVudDUzMzk5NjAzNQ== stale[bot] 26384082 2019-09-23T07:58:53Z 2019-09-23T07:58:53Z NONE

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   Representing missing values in string arrays on disk 267542085
338575260 https://github.com/pydata/xarray/issues/1647#issuecomment-338575260 https://api.github.com/repos/pydata/xarray/issues/1647 MDEyOklzc3VlQ29tbWVudDMzODU3NTI2MA== shoyer 1217238 2017-10-23T07:48:56Z 2017-10-23T07:48:56Z MEMBER

It occurs to me that yet another option is to avoid using _FillValue:

  1. Instead of using _FillValue, set the missing_value attribute, which is not directly used by netCDF libraries. We could thus choose to let missing_value be a unicode string, and do comparison to find missing values after decoding back into unicode. In contrast, _FillValue is required to be a valid scalar for the encoded netCDF variable, which means a single bytes character when using character encoding. It's pretty awkward for valid choices of _FillValue to change based on which netCDF library / version is being used, so I'd really like to avoid that. (In the current version of https://github.com/pydata/xarray/pull/1648, I resolve this issue by encoding unicode fill values into bytes, but this means you need to know that your unicode character encodes into a single byte.)
 
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   Representing missing values in string arrays on disk 267542085

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