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  • rabernat · 3 ✖

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  • Shape preserving `diff` via new keywords · 3 ✖

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  • MEMBER · 3 ✖
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289859704 https://github.com/pydata/xarray/issues/1332#issuecomment-289859704 https://api.github.com/repos/pydata/xarray/issues/1332 MDEyOklzc3VlQ29tbWVudDI4OTg1OTcwNA== rabernat 1197350 2017-03-28T18:21:17Z 2017-03-28T18:21:17Z MEMBER

@rabernat, do you think that the proposed keyword additions should be included in xarray or not?

If you are going to have diff return a same-length array, then the keywords should allow the user to specify the boundary condition, e.g. extend, reflect, periodic, blank, etc. I agree this would be useful to have in xarray.

I also agree we should copy numpy wherever possible.

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  Shape preserving `diff` via new keywords 217385961
289839737 https://github.com/pydata/xarray/issues/1332#issuecomment-289839737 https://api.github.com/repos/pydata/xarray/issues/1332 MDEyOklzc3VlQ29tbWVudDI4OTgzOTczNw== rabernat 1197350 2017-03-28T17:13:00Z 2017-03-28T17:13:00Z MEMBER

It is just super inconvenient to do array resizing following the diff of a time vector to get timesteps, but maybe this use case is too niche to be useful for the community.

Maybe for the xarray community, but not the xgcm community ;) We definitely want round-trip-compatibly diff and cumsum operations (see xgcm/xgcm#49, which is very close to implemented)

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  Shape preserving `diff` via new keywords 217385961
289790359 https://github.com/pydata/xarray/issues/1332#issuecomment-289790359 https://api.github.com/repos/pydata/xarray/issues/1332 MDEyOklzc3VlQ29tbWVudDI4OTc5MDM1OQ== rabernat 1197350 2017-03-28T14:35:41Z 2017-03-28T14:35:41Z MEMBER

FYI @pwolfram, if you are interested in more "grid-aware" finite differencing, you might have a look at xgcm. We are working on it again and have implemented some basic difference and interpolation operators: http://xgcm.readthedocs.io/en/latest/grids.html#grid-objects

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  Shape preserving `diff` via new keywords 217385961

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