Changes in tests and warning

Author: kurchi1205

pandas/core/groupby/groupby.py

@@ -1120,7 +1120,6 @@ def _resolve_numeric_only(self, numeric_only: bool | lib.NoDefault) -> bool:
                 obj = self._obj_with_exclusions
                 check = obj._get_numeric_data()
                 if len(obj.columns) and not len(check.columns) and not obj.empty:
-                    warnings.warn("... Explicitly pass numeric_only ...")
                     numeric_only = False
 
             else:

pandas/tests/groupby/aggregate/test_aggregate.py

@@ -117,69 +117,6 @@ def test_groupby_aggregation_mixed_dtype():
     tm.assert_frame_equal(result, expected)
 
 
-def test_groupby_aggregation_non_numeric_dtype():
-    # GH #43108
-    df = DataFrame(
-        [["M", [1]], ["M", [1]], ["W", [10]], ["W", [20]]], columns=["MW", "v"]
-    )
-
-    expected = DataFrame(
-        {
-            "v": [[1, 1], [10, 20]],
-        },
-        index=Index(["M", "W"], dtype="object", name="MW"),
-    )
-
-    with tm.assert_produces_warning(UserWarning):
-        g = df.groupby(by=["MW"])
-        result = g.sum()
-        tm.assert_frame_equal(result, expected)
-
-
-def test_groupby_aggregation_multi_non_numeric_dtype():
-    # GH #42395
-    df = DataFrame(
-        {
-            "x": [1, 0, 1, 1, 0],
-            "y": [Timedelta(i, "days") for i in range(1, 6)],
-            "z": [Timedelta(i * 10, "days") for i in range(1, 6)],
-        }
-    )
-
-    expected = DataFrame(
-        {
-            "y": [Timedelta(i, "days") for i in range(7, 9)],
-            "z": [Timedelta(i * 10, "days") for i in range(7, 9)],
-        },
-        index=Int64Index([0, 1], dtype="int64", name="x"),
-    )
-
-    with tm.assert_produces_warning(UserWarning):
-        g = df.groupby(by=["x"])
-        result = g.sum()
-        tm.assert_frame_equal(result, expected)
-
-
-def test_groupby_aggregation_numeric_with_non_numeric_dtype():
-    # GH #43108
-    df = DataFrame(
-        {
-            "x": [1, 0, 1, 1, 0],
-            "y": [Timedelta(i, "days") for i in range(1, 6)],
-            "z": [i for i in range(1, 6)],
-        }
-    )
-
-    expected = DataFrame(
-        {"z": [7, 8]},
-        index=Int64Index([0, 1], dtype="int64", name="x"),
-    )
-
-    g = df.groupby(by=["x"])
-    result = g.sum()
-    tm.assert_frame_equal(result, expected)
-
-
 def test_groupby_aggregation_multi_level_column():
     # GH 29772
     lst = [

pandas/tests/groupby/test_function.py

@@ -262,6 +262,69 @@ def _check(self, df, method, expected_columns, expected_columns_numeric):
 
         tm.assert_index_equal(result.columns, expected_columns)
 
+    def test_groupby_aggregation_non_numeric_dtype():
+        # GH #43108
+        df = DataFrame(
+            [["M", [1]], ["M", [1]], ["W", [10]], ["W", [20]]], columns=["MW", "v"]
+        )
+
+        expected = DataFrame(
+            {
+                "v": [[1, 1], [10, 20]],
+            },
+            index=Index(["M", "W"], dtype="object", name="MW"),
+        )
+
+        
+        gb = df.groupby(by=["MW"])
+        result = gb.sum()
+        tm.assert_frame_equal(result, expected)
+
+
+    def test_groupby_aggregation_multi_non_numeric_dtype():
+        # GH #42395
+        df = DataFrame(
+            {
+                "x": [1, 0, 1, 1, 0],
+                "y": [Timedelta(i, "days") for i in range(1, 6)],
+                "z": [Timedelta(i * 10, "days") for i in range(1, 6)],
+            }
+        )
+
+        expected = DataFrame(
+            {
+                "y": [Timedelta(i, "days") for i in range(7, 9)],
+                "z": [Timedelta(i * 10, "days") for i in range(7, 9)],
+            },
+            index=Int64Index([0, 1], dtype="int64", name="x"),
+        )
+
+        
+        gb = df.groupby(by=["x"])
+        result = gb.sum()
+        tm.assert_frame_equal(result, expected)
+
+
+    def test_groupby_aggregation_numeric_with_non_numeric_dtype():
+        # GH #43108
+        df = DataFrame(
+            {
+                "x": [1, 0, 1, 1, 0],
+                "y": [Timedelta(i, "days") for i in range(1, 6)],
+                "z": [i for i in range(1, 6)],
+            }
+        )
+
+        expected = DataFrame(
+            {"z": [7, 8]},
+            index=Int64Index([0, 1], dtype="int64", name="x"),
+        )
+
+        gb = df.groupby(by=["x"])
+        result = gb.sum()
+        tm.assert_frame_equal(result, expected)
+
+
 
 class TestGroupByNonCythonPaths:
     # GH#5610 non-cython calls should not include the grouper