Use complex nan by default when interpolating out of bounds #6019
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dcherian
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Nov 23, 2021
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* upstream/main: fix grammatical typo in docs (pydata#6034) Use condas dask-core in ci instead of dask to speedup ci and reduce dependencies (pydata#6007) Use complex nan by default when interpolating out of bounds (pydata#6019) Simplify missing value handling in xarray.corr (pydata#6025) Add pyXpcm to Related Projects doc page (pydata#6031) Make xr.corr and xr.map_blocks work without dask (pydata#5731)
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pre-commit run --all-fileswhats-new.rstWhen using the
da.interpto interpolate outside of the bounds, by default,fill_valueis set tonp.nanto set the values to NaN.This is completely fine with real values, but with complex values this will in fact set the values to
np.nan + 0jwhich can be a source of confusion and bugs.This PR propose to detect if values are complex, and if so, to use
np.nan + np.nan*1jas the defaultfill_value