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  • mangecoeur · 1 ✖

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  • TypeError: invalid type promotion when reading multi-file dataset · 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
222995827 https://github.com/pydata/xarray/issues/864#issuecomment-222995827 https://api.github.com/repos/pydata/xarray/issues/864 MDEyOklzc3VlQ29tbWVudDIyMjk5NTgyNw== mangecoeur 743508 2016-06-01T13:42:21Z 2016-06-01T13:42:59Z CONTRIBUTOR

On further investigation, it appears the problem is the dataset contains a mix of string and float data - the strings are redundant representations of the time stamp, therefore they don't appear in the index query. When I tried to convert to array, the numpy chokes on the mixed types. Explicitly selecting on the desired data variable solves this:

selection = cfsr_new.TMP_L103.sel(lon=lon_sel, lat=lat_sel, time=time_sel)

I think a clearer error message may be needed: when you do sel without indexing on certain dimensions, those are included in the resulting selection. It's possible for those to be of mixed incompatible types. Clearly to do to_array you need a numpy-friendly uniform type. The error should make this clearer.

 
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   TypeError: invalid type promotion when reading multi-file dataset 157886730

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