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  • mark-boer · 3 ✖

issue 1

  • Pad method · 3 ✖

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  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
561372979 https://github.com/pydata/xarray/issues/2605#issuecomment-561372979 https://api.github.com/repos/pydata/xarray/issues/2605 MDEyOklzc3VlQ29tbWVudDU2MTM3Mjk3OQ== mark-boer 12862013 2019-12-03T21:50:53Z 2019-12-03T21:50:53Z CONTRIBUTOR

I will create a WIP pull request tommorow.

 
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   Pad method 390774883
554998976 https://github.com/pydata/xarray/issues/2605#issuecomment-554998976 https://api.github.com/repos/pydata/xarray/issues/2605 MDEyOklzc3VlQ29tbWVudDU1NDk5ODk3Ng== mark-boer 12862013 2019-11-18T12:41:33Z 2019-11-18T12:41:33Z CONTRIBUTOR

@dcherian Thx! I found the Variable.pad_with_fill_value already, but I will also have a look at rolling and coarsen.

I have some questions related to this issue, I hope this is the correct place to ask those:

Dask added the pad method in version 1.7.0 according to its documentation. What is the minimum version of Dask that should be supported, I found Dask=1.2 is the continuous integration requirements.

Also, how should I handle implementation differences between numpy and Dask? E.g. in the current version of Dask and numpy I'm using: mode="mean" converts an array of integers to floats in Dask, but in numpy it keeps it an array of integers.

 
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   Pad method 390774883
549058104 https://github.com/pydata/xarray/issues/2605#issuecomment-549058104 https://api.github.com/repos/pydata/xarray/issues/2605 MDEyOklzc3VlQ29tbWVudDU0OTA1ODEwNA== mark-boer 12862013 2019-11-02T16:16:27Z 2019-11-02T16:16:27Z CONTRIBUTOR

Has some1 started working on this? I thought I might give it a try ;-)

 
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   Pad method 390774883

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