issue_comments: 1115127711

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https://github.com/pydata/xarray/issues/6439#issuecomment-1115127711 https://api.github.com/repos/pydata/xarray/issues/6439 1115127711 IC_kwDOAMm_X85Cd3-f 22566757 2022-05-02T17:04:13Z 2022-05-02T17:45:56Z CONTRIBUTOR

Just a tip: You don't need any stacking for that. Just use an indexer with a new dim:

I am aware that I can extract the diagonal of the arrays by using the same index for each argument of isel. That is, in fact, how I extracted the diagonals in each case above (look for diag_index to find the examples).

The bit that interests me is unstacking the relevant dimension, because the data in the original case comes to me with, effectively, a stacked dimension, and I would like to turn it back into an unstacked dimension because that is what I am used to using pcolormesh to plot.

That is to say, skipping the unstacking rather defeats the purpose of what I am trying to do, unless you have suggestions for how to create a two-dimensional plot (one using something like contourf or pcolormesh) of a one-dimensional Dataset, or a series of two-dimensional plots from a two-dimensional Dataset.

 
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