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  • babameme · 5 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
824600539 https://github.com/pydata/xarray/issues/5205#issuecomment-824600539 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDYwMDUzOQ== babameme 21273359 2021-04-22T07:13:26Z 2021-04-22T07:13:26Z NONE

Wait, do you see the result on the 3rd row:

[14., 14., 14., 14., 14., 14.]

The original row is

[12, 13, 14, 15, 16, 17]

the lower bound is inf, and the upper bound is 14.

I think the result should be:

[12, 13, 14, 14, 14, 14]

 
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   Clip function with minimum or maximum nan value 864494256
824595756 https://github.com/pydata/xarray/issues/5205#issuecomment-824595756 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDU5NTc1Ng== babameme 21273359 2021-04-22T07:05:34Z 2021-04-22T07:05:34Z NONE

I got it. Thank you very much

 
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   Clip function with minimum or maximum nan value 864494256
824534986 https://github.com/pydata/xarray/issues/5205#issuecomment-824534986 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDUzNDk4Ng== babameme 21273359 2021-04-22T04:47:40Z 2021-04-22T04:47:40Z NONE

Hi @max-sixty , i update my request Let's check it, Regards

 
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   Clip function with minimum or maximum nan value 864494256
824507009 https://github.com/pydata/xarray/issues/5205#issuecomment-824507009 https://api.github.com/repos/pydata/xarray/issues/5205 MDEyOklzc3VlQ29tbWVudDgyNDUwNzAwOQ== babameme 21273359 2021-04-22T03:15:13Z 2021-04-22T03:15:13Z NONE

Hi @max-sixty , this is the first time i request feature in github. Can you introduce how to fill out the issue template ?

 
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   Clip function with minimum or maximum nan value 864494256
820316347 https://github.com/pydata/xarray/issues/5162#issuecomment-820316347 https://api.github.com/repos/pydata/xarray/issues/5162 MDEyOklzc3VlQ29tbWVudDgyMDMxNjM0Nw== babameme 21273359 2021-04-15T10:27:48Z 2021-04-15T10:27:48Z NONE

Yes, i follow that guidance. I have try da.rolling(dim = x).mean() dim: One of DataArray da dimensions x: int

That guide doesn't explicitly explain use cases of kwargs: **window_kwargs (optional) – The keyword arguments form of dim. One of dim or window_kwargs must be provided.

 
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   Monthly Rolling 858671865

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