Maximilian Roos

@gerritholl check out https://pandas-docs.github.io/pandas-docs-travis/whatsnew/v0.24.0.html#whatsnew-0240-enhancements-intna I think that's the closest way of having int support; from my understanding supporting masked arrays directly would be a decent lift

This does retain units on `x`: ``` In [9]: x=np.arange(100) ...: x=xr.DataArray(x, dims='x', coords={'x':x}, attrs={'units':'m'}) ...: t=np.arange(40,60,0.5) ...: t=xr.DataArray(t, dims='t', coords={'t':t}, attrs={'units':'s'}) ...: result = x.interp(x=t) In [10]: result Out[10]:...

Nice!! FYI there is also a `black --line-ranges` feature for formatting diffs. (I looked whether it would be possible to run through pre-commit etc, didn't look possible, but maybe we...

Yes, not everything (but some things! such as line lengths, so not completely orthogonal...)