issue_comments: 555065766

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https://github.com/pydata/xarray/issues/2605#issuecomment-555065766 https://api.github.com/repos/pydata/xarray/issues/2605 555065766 MDEyOklzc3VlQ29tbWVudDU1NTA2NTc2Ng== 2448579 2019-11-18T15:28:18Z 2019-11-18T15:28:18Z MEMBER

You can copy over dask.array.pad to dask_array_compat.py and do something like

python if LooseVersion(dask_version) >= LooseVersion("1.7.0"): pad = dask.array.pad else: # copied from dask.array def pad(...): ...

mode="mean" converts an array of integers to floats in Dask, but in numpy it keeps it an array of integers.

That's weird. Open an issue at the dask repo with an example?

Feel free to open an in-progress PR. Thanks for working on this.

 
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