fix: enhance DataFrame.from_records type annotations per issue #1334

Addresses Dr-Irv's feedback:
- Updated data parameter types from restrictive Scalar to flexible Any
- Added .reshape(2, 2) to numpy test for CI compatibility
- Added proper dictionary tests (list and single) without tuple conversion
- Added Mapping[str, Any] type support for single dictionaries
- Used DataFrame constructor for mapping sequences test

All tests pass.

Author: iclectic

pandas-stubs/core/frame.pyi

@@ -549,6 +549,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             np_2darray
             | Sequence[SequenceNotStr]
             | Sequence[Mapping[str, Any]]
+            | Mapping[str, Any]
             | Mapping[str, SequenceNotStr[Any]]
         ),
         index: str | SequenceNotStr[str] | None = None,

tests/test_frame.py

@@ -4725,16 +4725,23 @@ def test_from_records() -> None:
         pd.DataFrame,
     )
 
-    # testing with list of dictionaries (convert to tuples for type compatibility)
-    data_dict_tuples = [(1, "a"), (2, "b")]
+    # testing with list of dictionaries
+    data_dict_list = [{"id": 1, "name": "a"}, {"id": 2, "name": "b"}]
     check(
         assert_type(
-            pd.DataFrame.from_records(data_dict_tuples, columns=["id", "name"]),
+            pd.DataFrame.from_records(data_dict_list, columns=["id", "name"]),
             pd.DataFrame,
         ),
         pd.DataFrame,
     )
 
+    # test with single dictionary
+    data_single_dict = {"id": 1, "name": "a"}
+    check(
+        assert_type(pd.DataFrame.from_records(data_single_dict, index=[0]), pd.DataFrame),
+        pd.DataFrame,
+    )
+
     # testing with mapping of sequences
     data_mapping_dict = {"id": [1, 2], "name": ["a", "b"]}
     check(