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PERF: regression in DataFrame reduction ops performance #37081 #37118

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Merged
jreback merged 2 commits into from
Oct 17, 2020
Merged

PERF: regression in DataFrame reduction ops performance #37081 #37118

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6357ac2
[PERF] Fixed issue #37081
ukarroum Oct 14, 2020
41827fb
PERF : #37081 Compute dtypes once for 'any_object' and 'dtype_is_dt'
ukarroum Oct 14, 2020
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5 changes: 4 additions & 1 deletion pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8670,7 +8670,10 @@ def _reduce(
cols = self.columns[~dtype_is_dt]
self = self[cols]

any_object = self.dtypes.apply(is_object_dtype).any()
any_object = np.array(
[is_object_dtype(values.dtype) for values in self._iter_column_arrays()],
dtype=bool,
).any()
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@jbrockmendel jbrockmendel Oct 14, 2020

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let's only find the dtypes once (i.e. share with dtype_is_dt above

own_dtypes = [arr.dtype for arr in self._iter_column_arrays()]
# or 
own_dtypes = [blk.dtype for blk in self._mgr.blocks]

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@ukarroum ukarroum Oct 14, 2020

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done in 41827fb

# TODO: Make other agg func handle axis=None properly GH#21597
axis = self._get_axis_number(axis)
labels = self._get_agg_axis(axis)
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