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PERF: groupby.any/all with object dtype #50623

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Merged
merged 3 commits into from
Jan 7, 2023
Merged

PERF: groupby.any/all with object dtype #50623

merged 3 commits into from
Jan 7, 2023

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lukemanley
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from asv_bench.benchmarks.groupby import GroupByMethods

params = dict(dtype="object", method="all", application="direct", ncols=1) 

b = GroupByMethods()
b.setup(**params)

%timeit b.time_dtype_as_field(**params)

# 881 µs ± 20.2 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)  -> main
# 216 µs ± 1.15 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)  -> PR

@lukemanley lukemanley added Groupby Performance Memory or execution speed performance labels Jan 7, 2023
phofl
phofl reviewed Jan 7, 2023
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pandas/core/groupby/groupby.py Outdated

vals = cast(np.ndarray, vals)
vals = vals.copy()
vals[isna(vals)] = True
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@phofl phofl Jan 7, 2023 •
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Can you add a comment that we will re-compute a mask later on? Hard to follow why setting = True is valid if you don't know that.

Additionally, would it be faster to check if isna(vale).any() before making a copy?

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Added a comment and skipped the copy when possible. Seems to save a bit more more (~5%).

rhshadrach
rhshadrach approved these changes Jan 7, 2023
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lgtm

doc/source/whatsnew/v2.0.0.rst Outdated
@@ -752,6 +752,7 @@ Removal of prior version deprecations/changes
Performance improvements
~~~~~~~~~~~~~~~~~~~~~~~~
- Performance improvement in :meth:`.DataFrameGroupBy.median` and :meth:`.SeriesGroupBy.median` and :meth:`.GroupBy.cumprod` for nullable dtypes (:issue:`37493`)
- Performance improvement in :meth:`.DataFrameGroupBy.all`, :meth:`.DataFrameGroupBy.any`, :meth:`.SeriesGroupBy.all`, and :meth:`.SeriesGroupBy.any` for object dtype (:issue:`#####`)
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Can use PR # here assuming there is no issue.

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updated, thx

@phofl phofl merged commit f4136c0 into pandas-dev:main Jan 7, 2023
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phofl commented Jan 7, 2023

Thx @lukemanley

@lukemanley lukemanley deleted the groupby-bool-agg branch January 19, 2023 04:31
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@rhshadrach rhshadrach rhshadrach approved these changes

@phofl phofl phofl approved these changes

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@lukemanley @phofl @rhshadrach