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  • shoyer · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
91679470 https://github.com/pydata/xarray/issues/386#issuecomment-91679470 https://api.github.com/repos/pydata/xarray/issues/386 MDEyOklzc3VlQ29tbWVudDkxNjc5NDcw shoyer 1217238 2015-04-10T20:37:43Z 2015-04-10T20:37:43Z MEMBER

Resampling actually supports custom aggregation methods with the how parameter: http://xray.readthedocs.org/en/stable/generated/xray.Dataset.resample.html#xray.Dataset.resample

 
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   "loosing" virtual variables 67332234
91355259 https://github.com/pydata/xarray/issues/386#issuecomment-91355259 https://api.github.com/repos/pydata/xarray/issues/386 MDEyOklzc3VlQ29tbWVudDkxMzU1MjU5 shoyer 1217238 2015-04-09T21:01:04Z 2015-04-09T21:01:04Z MEMBER

The better solution here is to use resample rather than groupby('time.date'):

ts_mean = ts.resample('1D', dim='time')

time.date and time.time (with is currently broken) are weird virtual variables, because, like you point out, they create object arrays. That makes them not so useful. It might be better to get rid of them entirely, or to replace them with some sort of shortcut that returns datetime64 instead.

 
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   "loosing" virtual variables 67332234

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