Use complex nan by default when interpolating out of bounds #6019
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
dcherian
reviewed
Nov 23, 2021
dcherian
approved these changes
Nov 24, 2021
dcherian
added a commit
to dcherian/xarray
that referenced
this pull request
Dec 2, 2021
* 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)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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