Backport PR #48713 on branch 1.5.x (BUG: pivot_table raising Future Warning with datetime column as index) (#48742)

Backport PR #48713: BUG: pivot_table raising Future Warning with datetime column as index

Co-authored-by: Patrick Hoefler <[email protected]>

Author: meeseeksmachine

doc/source/whatsnew/v1.5.1.rst

@@ -27,6 +27,7 @@ Fixed regressions
 Bug fixes
 ~~~~~~~~~
 - Bug in :meth:`DataFrame.to_hdf` raising ``AssertionError`` with boolean index (:issue:`48667`)
+- Bug in :meth:`DataFrame.pivot_table` raising unexpected ``FutureWarning`` when setting datetime column as index (:issue:`48683`)
 -
 
 .. ---------------------------------------------------------------------------

pandas/core/reshape/pivot.py

@@ -318,7 +318,7 @@ def _add_margins(
 
     from pandas import DataFrame
 
-    margin_dummy = DataFrame(row_margin, columns=[key]).T
+    margin_dummy = DataFrame(row_margin, columns=Index([key])).T
 
     row_names = result.index.names
     # check the result column and leave floats

pandas/tests/reshape/test_pivot.py

@@ -2237,6 +2237,38 @@ def test_pivot_ea_dtype_dropna(self, dropna):
         )
         tm.assert_frame_equal(result, expected)
 
+    def test_pivot_table_datetime_warning(self):
+        # GH#48683
+        df = DataFrame(
+            {
+                "a": "A",
+                "b": [1, 2],
+                "date": pd.Timestamp("2019-12-31"),
+                "sales": [10.0, 11],
+            }
+        )
+        with tm.assert_produces_warning(None):
+            result = df.pivot_table(
+                index=["b", "date"], columns="a", margins=True, aggfunc="sum"
+            )
+        expected = DataFrame(
+            [[10.0, 10.0], [11.0, 11.0], [21.0, 21.0]],
+            index=MultiIndex.from_arrays(
+                [
+                    Index([1, 2, "All"], name="b"),
+                    Index(
+                        [pd.Timestamp("2019-12-31"), pd.Timestamp("2019-12-31"), ""],
+                        dtype=object,
+                        name="date",
+                    ),
+                ]
+            ),
+            columns=MultiIndex.from_tuples(
+                [("sales", "A"), ("sales", "All")], names=[None, "a"]
+            ),
+        )
+        tm.assert_frame_equal(result, expected)
+
 
 class TestPivot:
     def test_pivot(self):