issue_comments: 1081869682

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https://github.com/pydata/xarray/issues/6412#issuecomment-1081869682 https://api.github.com/repos/pydata/xarray/issues/6412 1081869682 IC_kwDOAMm_X85AfAVy 6628425 2022-03-29T13:25:46Z 2022-03-29T13:25:46Z MEMBER

I agree this should be better documented.

Here when I want to retrieve the year of datetime, instead of casting back to an array of object & using datetime.year, it's handy to use built-in numpy datetime64 conversion.

The recommended way to extract datetime components, like the year, is to use the DatetimeAccessor. For example if you have a DataArray of datetime-like values (whether they are of type np.datetime64[ns] or cftime.datetime) you can do something like this:

da.dt.year

and it will return a DataArray containing the year of each datetime (for more information see the "Datetime components" section of the documentation).

 
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