issue_comments: 529164037

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https://github.com/pydata/xarray/issues/3290#issuecomment-529164037 https://api.github.com/repos/pydata/xarray/issues/3290 529164037 MDEyOklzc3VlQ29tbWVudDUyOTE2NDAzNw== 1217238 2019-09-08T02:41:58Z 2019-09-08T02:41:58Z MEMBER

For datetime64 arrays, use np.isnat() instead of isnan.

On Sat, Sep 7, 2019 at 7:39 PM Xin Zhang notifications@github.com wrote:

@keewis https://github.com/keewis I tried to using np.isnan(t.values).all() to check whether it's all nan. But, I got this error:

print (np.isnan(t.values).all())

TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

This is the type of t.values: <class 'numpy.ndarray'>

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