diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 3f446874ffd0e..865412f159ea1 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -631,6 +631,13 @@ def replace_list(
         bm._consolidate_inplace()
         return bm
 
+    def to_native_types(self, **kwargs) -> "BlockManager":
+        """
+        Convert values to native types (strings / python objects) that are used
+        in formatting (repr / csv).
+        """
+        return self.apply("to_native_types", **kwargs)
+
     def is_consolidated(self) -> bool:
         """
         Return True if more than one block with the same dtype
diff --git a/pandas/io/formats/csvs.py b/pandas/io/formats/csvs.py
index 1bda16d126905..403eead686f89 100644
--- a/pandas/io/formats/csvs.py
+++ b/pandas/io/formats/csvs.py
@@ -334,18 +334,12 @@ def _save_body(self) -> None:
             self._save_chunk(start_i, end_i)
 
     def _save_chunk(self, start_i: int, end_i: int) -> None:
-        ncols = self.obj.shape[-1]
-        data = [None] * ncols
-
         # create the data for a chunk
         slicer = slice(start_i, end_i)
-
         df = self.obj.iloc[slicer]
-        mgr = df._mgr
 
-        res = mgr.apply("to_native_types", **self._number_format)
-        for i in range(len(res.items)):
-            data[i] = res.iget_values(i)
+        res = df._mgr.to_native_types(**self._number_format)
+        data = [res.iget_values(i) for i in range(len(res.items))]
 
         ix = self.data_index.to_native_types(slicer=slicer, **self._number_format)
         libwriters.write_csv_rows(data, ix, self.nlevels, self.cols, self.writer)