issue_comments: 361111273

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https://github.com/pydata/xarray/issues/1862#issuecomment-361111273 https://api.github.com/repos/pydata/xarray/issues/1862 361111273 MDEyOklzc3VlQ29tbWVudDM2MTExMTI3Mw== 244887 2018-01-29T00:32:32Z 2018-01-29T00:33:35Z CONTRIBUTOR

Without coordinate values in between, what should xarray assume for the intermediate values?

I guess I had imagined it would not try to plot those intermediate values.

I think the behavior makes sense in 1d (pandas does the same linear interpolation I think) xrYsum = xrAB.sum(dim = 'x') xrYsum.plot() but in 2d it seems weird. Is there are common use case where this interpolation is desirable? Perhaps its just my ignorance speaking, but it feels like the behavior violates the principle of least astonishment, especially in light of the fact that irregular grids are one of the main use cases for xarray with explicit support in the docs.

Probably the simplest way to fix this is to start with an all NaN array of the appropriate size.

👍

I'd be happy to take a stab at implementing plotting that gives (by default or through an optional argument) a result equivalent to the last plot you made if you imagine xarray users would find it useful.

 
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