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Avoid shallow copies in groupby methods #17646

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Avoid shallow copies in groupby methods #17646

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a28c469
Avoid shallow copies in groupby methods
mroeschke Dec 20, 2024
5306981
Make _values_column_names private
mroeschke Dec 20, 2024
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30 changes: 16 additions & 14 deletions python/cudf/cudf/core/groupby/groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,7 @@
from cudf.utils.utils import GetAttrGetItemMixin

if TYPE_CHECKING:
from collections.abc import Generator, Iterable
from collections.abc import Generator, Hashable, Iterable

from cudf._typing import (
AggType,
Expand Down Expand Up @@ -2445,7 +2445,7 @@ def _cov_or_corr(self, func, method_name):
# create expanded dataframe consisting all combinations of the
# struct columns-pairs to be used in the correlation or covariance
# i.e. (('col1', 'col1'), ('col1', 'col2'), ('col2', 'col2'))
column_names = self.grouping.values._column_names
column_names = self.grouping._values_column_names
num_cols = len(column_names)

column_pair_structs = {}
Expand Down Expand Up @@ -2679,10 +2679,8 @@ def diff(self, periods=1, axis=0):

if not axis == 0:
raise NotImplementedError("Only axis=0 is supported.")

values = self.obj.__class__._from_data(
self.grouping.values._data, self.obj.index
)
values = self.grouping.values
values.index = self.obj.index
return values - self.shift(periods=periods)

def _scan_fill(self, method: str, limit: int) -> DataFrameOrSeries:
Expand Down Expand Up @@ -2786,9 +2784,8 @@ def fillna(
raise ValueError("Method can only be of 'ffill', 'bfill'.")
return getattr(self, method, limit)()

values = self.obj.__class__._from_data(
self.grouping.values._data, self.obj.index
)
values = self.grouping.values
values.index = self.obj.index
return values.fillna(
value=value, inplace=inplace, axis=axis, limit=limit
)
Expand Down Expand Up @@ -3542,6 +3539,13 @@ def keys(self):
self._key_columns[0], name=self.names[0]
)

@property
def _values_column_names(self) -> list[Hashable]:
# If the key columns are in `obj`, filter them out
return [
x for x in self._obj._column_names if x not in self._named_columns
]

@property
def values(self) -> cudf.core.frame.Frame:
"""Return value columns as a frame.
Expand All @@ -3552,11 +3556,9 @@ def values(self) -> cudf.core.frame.Frame:

This is mainly used in transform-like operations.
"""
# If the key columns are in `obj`, filter them out
value_column_names = [
x for x in self._obj._column_names if x not in self._named_columns
]
value_columns = self._obj._data.select_by_label(value_column_names)
value_columns = self._obj._data.select_by_label(
self._values_column_names
)
return self._obj.__class__._from_data(value_columns)

def _handle_callable(self, by):
Expand Down
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