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https://github.com/pydata/xarray/pull/3596#issuecomment-595202061 https://api.github.com/repos/pydata/xarray/issues/3596 595202061 MDEyOklzc3VlQ29tbWVudDU5NTIwMjA2MQ== 2448579 2020-03-05T12:22:02Z 2020-03-05T12:22:02Z MEMBER

I pushed some minor changes.

I think this is ready to go in.

The big outstanding issue is what to do about dimension coordinates or indexes. Currently this PR treats all variables in coords different from those in data_vars. I think this is confusing.

I am thinking that we want to use linear extrapolation for IndexVariables by default and apply the same padding mode to all other variables. The reasoning being that IndexVariables with NaNs are hard to deal with and it's hard to fill them in: padded["x"] = padded.x.drop_vars("x").interpolate_na("x", fill_value="extrapolate")

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