Add didiers to_records method

openbb_platform/platform/core/openbb_core/app/model/obbject.py

@@ -1,6 +1,6 @@
 """The OBBject."""
 from re import sub
-from typing import TYPE_CHECKING, Any, Dict, Generic, List, Literal, Optional, TypeVar
+from typing import Any, Dict, Generic, List, Literal, Optional, TYPE_CHECKING, TypeVar
 
 import pandas as pd
 from numpy import ndarray
@@ -175,7 +175,7 @@ def to_polars(self) -> "PolarsDataFrame":
             from polars import from_pandas  # pylint: disable=import-outside-toplevel
         except ImportError as exc:
             raise ImportError(
-                "Please install polars: `pip install polars`  to use this function."
+                "Please install polars: `pip install polars pyarrow`  to use this method."
             ) from exc
 
         return from_pandas(self.to_dataframe().reset_index())
@@ -184,37 +184,28 @@ def to_numpy(self) -> ndarray:
         """Convert results field to numpy array."""
         return self.to_dataframe().reset_index().to_numpy()
 
-    def to_dict(self) -> Dict[str, List]:
+    def to_dict(
+        self,
+        orient: Literal[
+            "dict", "list", "series", "split", "tight", "records", "index"
+        ] = "list",
+    ) -> Dict[str, List]:
+
         """Convert results field to list of values.
 
+        Parameters
+        ----------
+        orient : Literal["dict", "list", "series", "split", "tight", "records", "index"]
+            Value to pass to `.to_dict()` method
+
+
         Returns
         -------
         Dict[str, List]
             Dictionary of lists.
         """
-        if isinstance(self.results, dict) and all(
-            isinstance(v, dict) for v in self.results.values()
-        ):
-            results: Dict[str, List] = {}
-            for _, v in self.results.items():
-                for kk, vv in v.items():
-                    if kk not in results:
-                        results[kk] = []
-                    results[kk].append(vv)
-
-            return results
-
         df = self.to_dataframe().reset_index()  # type: ignore
-        results = {}
-        for field in df.columns:
-            f = df[field].tolist()
-            results[field] = f[0] if len(f) == 1 else f
-
-        # remove index from results
-        if "index" in results:
-            del results["index"]
-
-        return results
+        return df.to_dict(orient=orient)
 
     def to_chart(self, **kwargs):
         """