issue_comments: 118211474

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https://github.com/pydata/xarray/issues/453#issuecomment-118211474 https://api.github.com/repos/pydata/xarray/issues/453 118211474 MDEyOklzc3VlQ29tbWVudDExODIxMTQ3NA== 1217238 2015-07-03T02:13:01Z 2015-07-03T02:13:01Z MEMBER

I agree, it's not friendly to give an error message here.

Something you could do about this -- you probably want to convert your times into the numpy datetime64 type. That makes your operations much more efficient, and would make .min() work:

ds['Times'] = ('Time', pd.to_datetime(ds['Times'], format='%Y-%m-%d_%H:%M:%S'))

You also probably want to make this Times variable the dimension variable -- that will let you select times with datetime objects or strings instead of integers: ds.swap_dims({"Times": "Time"}).

Or in one line:

ds = ds.assign(Time=pd.to_datetime(ds['Times'], format='%Y-%m-%d_%H:%M:%S')).drop('Times')

Something xray do could about this -- we could convert string/unicode arrays into the numpy object dtype prior to attempting operations like min/argmin. That way, the min operation would still work.

 
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