From 9034b1ba147729fc92917533c54c75e8d1179aa3 Mon Sep 17 00:00:00 2001
From: Michael Wang <isVoid@users.noreply.github.com>
Date: Thu, 14 Jul 2022 06:44:52 -0700
Subject: [PATCH] Returns DataFrame When Concating Along Axis 1 (#11263)

fixes #11244

When concatenating along axis 1, pandas always return a dataframe even though there are only 1 column involved. This PR conforms cuDF to that behavior.

Authors:
  - Michael Wang (https://github.com/isVoid)

Approvers:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

URL: https://github.com/rapidsai/cudf/pull/11263
---
 python/cudf/cudf/core/reshape.py      |  9 ++++++++-
 python/cudf/cudf/tests/test_concat.py | 10 ++++++++++
 2 files changed, 18 insertions(+), 1 deletion(-)

diff --git a/python/cudf/cudf/core/reshape.py b/python/cudf/cudf/core/reshape.py
index 66f511a4324..3b462d7c6ac 100644
--- a/python/cudf/cudf/core/reshape.py
+++ b/python/cudf/cudf/core/reshape.py
@@ -266,7 +266,14 @@ def concat(objs, axis=0, join="outer", ignore_index=False, sort=None):
                         index=cudf.RangeIndex(len(obj)),
                     )
         else:
-            result = obj.copy()
+            if axis == 0:
+                result = obj.copy()
+            else:
+                data = obj._data.copy(deep=True)
+                if isinstance(obj, cudf.Series) and obj.name is None:
+                    # If the Series has no name, pandas renames it to 0.
+                    data[0] = data.pop(None)
+                result = cudf.DataFrame._from_data(data)
 
         return result.sort_index(axis=axis) if sort else result
 
diff --git a/python/cudf/cudf/tests/test_concat.py b/python/cudf/cudf/tests/test_concat.py
index 70631ddb346..5094d938ea1 100644
--- a/python/cudf/cudf/tests/test_concat.py
+++ b/python/cudf/cudf/tests/test_concat.py
@@ -384,6 +384,16 @@ def test_pandas_concat_compatibility_axis1_eq_index():
     )
 
 
+@pytest.mark.parametrize("name", [None, "a"])
+def test_pandas_concat_compatibility_axis1_single_column(name):
+    # Pandas renames series name `None` to 0
+    # and preserves anything else
+    s = gd.Series([1, 2, 3], name=name)
+    got = gd.concat([s], axis=1)
+    expected = pd.concat([s.to_pandas()], axis=1)
+    assert_eq(expected, got)
+
+
 def test_concat_duplicate_columns():
     cdf = gd.DataFrame(
         {