issue_comments: 360939678

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https://github.com/pydata/xarray/issues/1862#issuecomment-360939678 https://api.github.com/repos/pydata/xarray/issues/1862 360939678 MDEyOklzc3VlQ29tbWVudDM2MDkzOTY3OA== 1217238 2018-01-27T00:09:48Z 2018-01-27T00:09:48Z MEMBER

I'm not 100% sure if we're doing the right thing here or not :).

The fundamental issue here is that your coordinates are not evenly spaced: ```

xrAB <xarray.DataArray (x: 32, y: 32)> array([[ 0.805096, 0.339439, 0.889917, ..., nan, nan, nan], [ 0.796546, 0.465788, 0.022211, ..., nan, nan, nan], [ 0.075146, 0.261747, 0.029072, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., 0.297032, 0.707947, 0.617284], [ nan, nan, nan, ..., 0.673249, 0.507685, 0.807462], [ nan, nan, nan, ..., 0.68973 , 0.786864, 0.04618 ]]) Coordinates: * y (y) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 48 49 50 51 52 ... * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 48 49 50 51 52 ... ```

Notice the jump from 15 to 48. Without coordinate values in between, what should xarray assume for the intermediate values? Here we seem to be treating the function as piece-wise constant.

Probably the simplest way to fix this is to start with an all NaN array of the appropriate size. This yields a sensible looking plot: python empty = xr.DataArray(np.full((N, N), np.nan), [('x', x), ('y', y)]) xrAB = empty.combine_first(xrA).combine_first(xrB) xrAB.plot() 

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