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Add support for axis=None in reductions #16229

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@Matt711 Matt711 commented Jul 9, 2024

Description

Closes #12335

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  • I am familiar with the Contributing Guidelines.
  • New or existing tests cover these changes.
  • The documentation is up to date with these changes.

@Matt711 Matt711 added feature request New feature or request Python Affects Python cuDF API. breaking Breaking change labels Jul 9, 2024
@Matt711 Matt711 self-assigned this Jul 9, 2024
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return getattr(concat_columns(source._data.columns), op)(
**kwargs
)
elif axis == 2 and op in {"std", "var"}:
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How should std and var reductions be treated? I think 1. is right, but I wanted to check.

  1. Combine the columns, then compute the reduction
  2. Compute the reduction over columns, then compute the reduction again over those results
    cc. @mroeschke, @vyasr

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In regards to 1, we do have to keep this comment in mind: #14930 (comment)

In terms of correctness, I forgot if std and var validate the minimum number of elements in the columns, but if so, the logic for axis=None should be something like.

  1. if self.size < minimum_std_var_elements: Return NA
  2. if len(self) < minimum_std_var_elements and self.size > minimum_std_var_elements: Your option 1
  3. else: Your option 2

@Matt711 Matt711 changed the base branch from branch-24.08 to branch-24.10 July 24, 2024 16:11
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breaking Breaking change feature request New feature or request Python Affects Python cuDF API.
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[FEA] Support axis=None in reductions
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