issue_comments: 529164506

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https://github.com/pydata/xarray/issues/3290#issuecomment-529164506 https://api.github.com/repos/pydata/xarray/issues/3290 529164506 MDEyOklzc3VlQ29tbWVudDUyOTE2NDUwNg== 30388627 2019-09-08T02:52:56Z 2019-09-08T02:52:56Z NONE

@shoyer Thanks. It's not datetime64 arrays, this is the result of np.isnat(t): File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/arithmetic.py", line 69, in __array_ufunc__ dask='allowed') File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/computation.py", line 969, in apply_ufunc keep_attrs=keep_attrs) File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/computation.py", line 217, in apply_dataarray_vfunc result_var = func(*data_vars) File "/public/software/anaconda/anaconda3/envs/python36/lib/python3.6/site-packages/xarray-0.12.3-py3.6.egg/xarray/core/computation.py", line 564, in apply_variable_ufunc result_data = func(*input_data) TypeError: ufunc 'isnat' is only defined for datetime and timedelta.

I use pd.isnull(t).all() to check it, it works. Actually it's all nan. There's something wrong with the nc file, I will contact the data center. Thank you for all your help :) 

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