fixup

dataframe_api_compat/pandas_standard/__init__.py

@@ -153,6 +153,22 @@ def column_from_sequence(
     return PandasColumn(ser, name=name)
 
 
+def column_from_1d_array(
+    array, *, dtype: Any, name: str | None = None
+) -> PandasColumn[Any]:  # pragma: no cover
+    ser = pd.Series(array, dtype=map_standard_dtype_to_pandas_dtype(dtype), name=name)
+    return PandasColumn(ser)
+
+
+def dataframe_from_2d_array(
+    array, *, names: Sequence[str], dtypes: dict[str, Any]
+) -> PandasColumn[Any]:  # pragma: no cover
+    df = pd.DataFrame(array, columns=names).astype(
+        {key: map_standard_dtype_to_pandas_dtype(value) for key, value in dtypes.items()}
+    )
+    return PandasDataFrame(df)
+
+
 def dataframe_from_dict(data: dict[str, PandasColumn[Any]]) -> PandasDataFrame:
     for col_name, col in data.items():
         if not isinstance(col, PandasColumn):  # pragma: no cover

dataframe_api_compat/pandas_standard/pandas_standard.py

@@ -68,7 +68,7 @@ def __init__(
             self._series = column
         else:
             self._series = column.reset_index(drop=True)
-        self._name = name
+        self._name = name  # or column.name
 
     def _validate_index(self, index: pd.Index) -> None:
         pd.testing.assert_index_equal(self.column.index, index)

dataframe_api_compat/polars_standard/polars_standard.py

@@ -74,7 +74,7 @@ def _is_integer_dtype(dtype: Any) -> bool:
 class PolarsColumn(Column[DType]):
     def __init__(self, column: pl.Series, *, name: str | None = None) -> None:
         self._series = column
-        self._name = name
+        self._name = name  # or column.name
 
     # In the standard
     def __column_namespace__(self, *, api_version: str | None = None) -> Any: