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PERF: masked ops for reductions (min/max) #33261

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Merged
merged 7 commits into from
Apr 6, 2020
Merged

PERF: masked ops for reductions (min/max) #33261

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7ff6a4e
PERF: masked ops for reductions (min/max)
jorisvandenbossche Apr 3, 2020
d93e811
fix test
jorisvandenbossche Apr 3, 2020
899913d
add whatsnew
jorisvandenbossche Apr 3, 2020
9d496eb
also add for boolean
jorisvandenbossche Apr 3, 2020
cd1e291
Update pandas/core/arrays/integer.py
jorisvandenbossche Apr 3, 2020
cb992a2
different nesting to be mypy friendlier
jorisvandenbossche Apr 3, 2020
eb00ad0
update docstring
jorisvandenbossche Apr 3, 2020
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Update pandas/core/arrays/integer.py 
Co-Authored-By: MomIsBestFriend <50263213+MomIsBestFriend@users.noreply.github.com>
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@jorisvandenbossche @ShaharNaveh
jorisvandenbossche and ShaharNaveh authored Apr 3, 2020
commit cd1e2913d58428f8316627c286bf85df3623364a
2 changes: 1 addition & 1 deletion pandas/core/arrays/integer.py
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Expand Up @@ -582,7 +582,7 @@ def _reduce(self, name: str, skipna: bool = True, **kwargs):

# if we have a preservable numeric op,
# provide coercion back to an integer type if possible
elif name in ["prod"]:
elif name == "prod":
# GH#31409 more performant than casting-then-checking
result = com.cast_scalar_indexer(result)

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