From a3deb921003141b8d2214ceb26d8dd881f552d38 Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 24 Jan 2024 16:07:38 -0800
Subject: [PATCH] Support kurt/skew(axis=None) for multi columns/low row count

---
 python/cudf/cudf/core/dataframe.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/python/cudf/cudf/core/dataframe.py b/python/cudf/cudf/core/dataframe.py
index 1057fd0b716..a3642bcc43f 100644
--- a/python/cudf/cudf/core/dataframe.py
+++ b/python/cudf/cudf/core/dataframe.py
@@ -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,
@@ -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",
@@ -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)