Project import generated by Copybara.

GitOrigin-RevId: 9809006adfe29e04abb6d1bce72991575deee8e3

Author: Arize AI Devs

CHANGELOG.md

@@ -1,5 +1,17 @@
 # Changelog
 
+## [8.1.0](https://github.com/Arize-ai/arize/compare/arize-python-sdk/v8.0.2...arize-python-sdk/v8.1.0) (2026-02-09)
+
+
+### 🎁 New Features
+
+* **responses:** support one-level expansion in `to_df` methods ([#62391](https://github.com/Arize-ai/arize/issues/62391)) ([899edeb](https://github.com/Arize-ai/arize/commit/899edeba53d7c1212127f0673af7c77af0820a87))
+* **regions:** add `Region.list_regions` class method
+
+### 🐛 Bug Fixes
+
+* **config:** add max_val constraint to stream_max_workers
+
 ## [8.0.2](https://github.com/Arize-ai/arize/compare/arize-python-sdk/v8.0.1...arize-python-sdk/v8.0.2) (2026-02-04)
 
 

docs/source/_static/switcher.json

@@ -4,6 +4,10 @@
     "url": "https://arize-client-python.readthedocs.io/en/latest/",
     "preferred": true
   },
+  {
+    "version": "v8.1.0",
+    "url": "https://arize-client-python.readthedocs.io/en/v8.1.0/"
+  },
   {
     "version": "v8.0.0",
     "url": "https://arize-client-python.readthedocs.io/en/v8.0.0/"
@@ -87,37 +91,5 @@
   {
     "version": "v7.33.0",
     "url": "https://arize-client-python.readthedocs.io/en/v7.33.0/"
-  },
-  {
-    "version": "v7.32.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.32.0/"
-  },
-  {
-    "version": "v7.31.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.31.0/"
-  },
-  {
-    "version": "v7.30.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.30.0/"
-  },
-  {
-    "version": "v7.29.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.29.0/"
-  },
-  {
-    "version": "v7.28.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.28.0/"
-  },
-  {
-    "version": "v7.27.1",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.27.1/"
-  },
-  {
-    "version": "v7.26.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.26.0/"
-  },
-  {
-    "version": "v7.25.0",
-    "url": "https://arize-client-python.readthedocs.io/en/v7.25.0/"
   }
 ]

src/arize/__init__.py

@@ -37,6 +37,8 @@ def to_df(
         exclude_none: str | bool = False,
         json_normalize: bool = False,
         convert_dtypes: bool = True,
+        expand_field: str = "additional_properties",
+        expand_prefix: str = "",
     ) -> object:
         """Convert a list of objects to a :class:`pandas.DataFrame`.
 
@@ -55,6 +57,9 @@ def to_df(
                 - True: alias for "all"
             json_normalize (bool): If True, flatten nested dicts via `pandas.json_normalize`.
             convert_dtypes (bool): If True, call `DataFrame.convert_dtypes()` at the end.
+            expand_field (str): If set, look for this field in each row and
+            expand its keys into top-level columns.
+            expand_prefix (str): If set, prefix expanded column names with this string.
 
         Returns:
             pandas.DataFrame: The converted DataFrame.
@@ -66,15 +71,26 @@ def to_df(
         rows = []
         for it in items:
             if hasattr(it, "model_dump"):  # Pydantic v2 object
-                rows.append(it.model_dump(by_alias=by_alias))
-
+                row = it.model_dump(by_alias=by_alias)
             elif isinstance(it, Mapping):  # Plain mapping
-                rows.append(it)
+                row = dict(it)  # Make a copy to avoid mutating the original
             else:
                 raise ValueError(
                     f"Cannot convert item of type {type(it)} to DataFrame row"
                 )
 
+            # --- one-level expansion (no recursion) ---
+            if expand_field and isinstance(row.get(expand_field), Mapping):
+                nested = dict(row.pop(expand_field))
+                if expand_prefix:
+                    nested = {
+                        f"{expand_prefix}{k}": v for k, v in nested.items()
+                    }
+                # nested keys win only if you want them to; swap order if not
+                row = {**row, **nested}
+
+            rows.append(row)
+
         df = (
             pd.json_normalize(rows, sep=".")
             if json_normalize