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Support kurt/skew(axis=None) for multi columns/low row count #14874

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merged 1 commit into from
Jan 25, 2024
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Support kurt/skew(axis=None) for multi columns/low row count #14874

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11 changes: 7 additions & 4 deletions python/cudf/cudf/core/dataframe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,7 @@
is_string_dtype,
)
from cudf.core import column, df_protocol, indexing_utils, reshape
from cudf.core._compat import PANDAS_GE_200
from cudf.core.abc import Serializable
from cudf.core.column import (
CategoricalColumn,
Expand Down Expand Up @@ -95,11 +96,8 @@
min_scalar_type,
numeric_normalize_types,
)

from cudf.utils.nvtx_annotation import _cudf_nvtx_annotate
from cudf.utils.utils import GetAttrGetItemMixin, _external_only_api
from cudf.core._compat import PANDAS_GE_200


_cupy_nan_methods_map = {
"min": "nanmin",
Expand Down Expand Up @@ -6112,8 +6110,13 @@ def _reduce(
if axis == 0
else source.index
)

if axis in {0, 2}:
if axis == 2 and op in ("kurtosis", "kurt", "skew"):
# TODO: concat + op can probably be done in the general case
# for axis == 2.
return getattr(concat_columns(source._data.columns), op)(
**kwargs
)
try:
result = [
getattr(source._data[col], op)(**kwargs)
Expand Down
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