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  • petercable · 1 ✖

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  • Reading netcdf containing empty N-d string arrays causes exception · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
270737056 https://github.com/pydata/xarray/issues/1193#issuecomment-270737056 https://api.github.com/repos/pydata/xarray/issues/1193 MDEyOklzc3VlQ29tbWVudDI3MDczNzA1Ng== petercable 6645714 2017-01-05T19:38:47Z 2017-01-05T20:01:34Z CONTRIBUTOR

I found that changing char_to_string resulted in dropping the 0 length dimension:

before:

<xarray.Dataset> Dimensions: (dim0: 1, dim1: 0) Coordinates: * dim0 (dim0) int64 0 * dim1 (dim1) int64 Data variables: x (dim0, dim1) |S1

after:

<xarray.Dataset> Dimensions: (dim0: 1) Coordinates: * dim0 (dim0) int64 0 Data variables: x (dim0) |S1

So, instead I modified conventions.decode_cf_variable to not wrap character arrays with a terminal zero length dimension as CharToStringArray:

if concat_characters: if data.dtype.kind == 'S' and data.dtype.itemsize == 1 and data.shape[-1] != 0: dimensions = dimensions[:-1] data = CharToStringArray(data)

And this appears to round-trip correctly.

EDIT: fixed output when modifying char_to_string

 
{
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    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Reading netcdf containing empty N-d string arrays causes exception 199032440

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