html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/864#issuecomment-222995827,https://api.github.com/repos/pydata/xarray/issues/864,222995827,MDEyOklzc3VlQ29tbWVudDIyMjk5NTgyNw==,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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