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Move empty hexbin fix to make_norm_from_scale.#24259

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QuLogic merged 1 commit intomatplotlib:mainfromanntzer:he
Oct 31, 2022

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anntzer
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3d2ffef added special-casing to handle empty log-scale hexbins, but the more back-compatible fix is to switch make_norm_from_scale to reproduce the old behavior of setting vmin/vmax to np.ma.masked when autoscaling with an empty array. (Whether that behavior is really better is unclear, but until this is properly investigated, it seems safer to go back to it.)

See#23944,#23922.

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Tests and Styling

  • Has pytest style unit tests (andpytest passes).
  • IsFlake 8 compliant (installflake8-docstrings and runflake8 --docstring-convention=all).

Documentation

  • New features are documented, with examples if plot related.
  • New features have an entry indoc/users/next_whats_new/ (follow instructions in README.rst there).
  • API changes documented indoc/api/next_api_changes/ (follow instructions in README.rst there).
  • Documentation is sphinx and numpydoc compliant (the docs shouldbuild without error).

@anntzeranntzer added this to thev3.6.2 milestoneOct 23, 2022
@@ -1718,10 +1718,14 @@ def inverse(self, value):
def autoscale(self, A):
# i.e. A[np.isfinite(...)], but also for non-array A's
in_trf_domain = np.extract(np.isfinite(self._trf.transform(A)), A)
if not in_trf_domain.size:
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@jklymakjklymakOct 23, 2022
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This changes this for everything that usesautoscale; is that OK? I guess its not failing any tests, but our masked tests were not terribly complete.

I findnot in_trf_domain.size enigmatic - I assume it is None if there was nothing to extract? Maybe add a comment...

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is that OK?

AFAICT this simply reverts to the pre 3.6 behavior, which had been accidentally changed.

not in_trf_domain.size

Sure, changed.

3d2ffef added special-casing to handle empty log-scale hexbins, but themore back-compatible fix is to switch make_norm_from_scale to reproducethe old behavior of setting vmin/vmax to np.ma.masked when autoscalingwith an empty array.  (Whether that behavior is really better isunclear, but until this is properly investigated, it seems safer to goback to it.)
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I do wonder about our continued support ofnp.masked. Does anyone talk about these kinds of things at scipy? Isnp.masked dead, or not?

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I personally don't care much about masked arrays, but IIRC@efiring was a proponent (sorry if I got this wrong).

@QuLogicQuLogic merged commit6634d2a intomatplotlib:mainOct 31, 2022
meeseeksmachine pushed a commit to meeseeksmachine/matplotlib that referenced this pull requestOct 31, 2022
@anntzeranntzer deleted the he branchOctober 31, 2022 23:34
tacaswell added a commit that referenced this pull requestNov 1, 2022
…259-on-v3.6.xBackport PR#24259 on branch v3.6.x (Move empty hexbin fix to make_norm_from_scale.)
@ksundenksunden mentioned this pull requestFeb 20, 2023
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@QuLogicQuLogicQuLogic approved these changes

@jklymakjklymakjklymak approved these changes

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