Make column_to_numpy_array private (#5256)

* Make column_to_numpy_array private

* Respond to review comments

py/server/deephaven/numpy.py

@@ -27,8 +27,19 @@ def _to_column_name(name: str) -> str:
     return re.sub(r"\s+", "_", tmp_name)
 
 
-def column_to_numpy_array(col_def: Column, j_array: jpy.JType) -> np.ndarray:
-    """ Produces a numpy array from the given Java array and the Table column definition."""
+def _column_to_numpy_array(col_def: Column, j_array: jpy.JType) -> np.ndarray:
+    """ Produces a numpy array from the given Java array and the Table column definition.
+
+    Args:
+        col_def (Column): the column definition
+        j_array (jpy.JType): the Java array
+
+    Returns:
+        np.ndarray
+
+    Raises:
+        DHError
+    """
     try:
         return _j_array_to_numpy_array(col_def.data_type, j_array, conv_null=False, type_promotion=False)
     except DHError:
@@ -49,7 +60,7 @@ def _columns_to_2d_numpy_array(col_def: Column, j_arrays: List[jpy.JType]) -> np
         else:
             np_arrays = []
             for j_array in j_arrays:
-                np_arrays.append(column_to_numpy_array(col_def=col_def, j_array=j_array))
+                np_arrays.append(_column_to_numpy_array(col_def=col_def, j_array=j_array))
             return np.stack(np_arrays, axis=1)
     except DHError:
         raise

py/server/deephaven/table_listener.py

@@ -16,7 +16,7 @@
 from deephaven._wrapper import JObjectWrapper
 from deephaven.column import Column
 from deephaven.jcompat import to_sequence
-from deephaven.numpy import column_to_numpy_array
+from deephaven.numpy import _column_to_numpy_array
 from deephaven.table import Table
 from deephaven.update_graph import UpdateGraph
 
@@ -51,7 +51,7 @@ def _changes_to_numpy(table: Table, cols: Union[str, List[str]], row_set, chunk_
 
             col_dict = {}
             for i, col_def in enumerate(col_defs):
-                np_array = column_to_numpy_array(col_def, j_array[i])
+                np_array = _column_to_numpy_array(col_def, j_array[i])
                 col_dict[col_def.name] = np_array
 
             yield col_dict