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  • dcherian · 2 ✖

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  • Forward Fill not working when there are all-NaN chunks · 2 ✖

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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
1001744349 https://github.com/pydata/xarray/issues/6112#issuecomment-1001744349 https://api.github.com/repos/pydata/xarray/issues/6112 IC_kwDOAMm_X847tWfd dcherian 2448579 2021-12-27T20:39:57Z 2021-12-27T20:39:57Z MEMBER

Both sound good to me.

Your code for limit looks OK though I didn't look closely. It looks very similar to https://github.com/pydata/xarray/blob/3960ea3ba08f81d211899827612550f6ac2de804/xarray/core/missing.py#L30-L34

 
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   Forward Fill not working when there are all-NaN chunks 1088893989
1001667358 https://github.com/pydata/xarray/issues/6112#issuecomment-1001667358 https://api.github.com/repos/pydata/xarray/issues/6112 IC_kwDOAMm_X847tDse dcherian 2448579 2021-12-27T17:25:10Z 2021-12-27T17:25:10Z MEMBER

Thanks @josephnowak . This is a great idea! 👏🏾 👏🏾 Can you send in a pull request please? We'll need to add the example from your first post as a test.

I think you can replace this dask_array_ops.push with your version: https://github.com/pydata/xarray/blob/3960ea3ba08f81d211899827612550f6ac2de804/xarray/core/dask_array_ops.py#L56-L80

This function is expected to return a dask array, so you can just return the result of cumreduction instead of wrapping it up in a DataArray.

 
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   Forward Fill not working when there are all-NaN chunks 1088893989

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