From 0825f528c26db8c68e80c5a282623e45e8c8d4fd Mon Sep 17 00:00:00 2001
From: JosephShyFang <32496804+JosephShyFang@users.noreply.github.com>
Date: Tue, 17 May 2022 19:38:00 -0400
Subject: [PATCH 1/2] Update _base.py

---
 pandas/io/excel/_base.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
index 030ae9fefda98..4d45ff208ae12 100644
--- a/pandas/io/excel/_base.py
+++ b/pandas/io/excel/_base.py
@@ -275,8 +275,8 @@
 
 mangle_dupe_cols : bool, default True
     Duplicate columns will be specified as 'X', 'X.1', ...'X.N', rather than
-    'X'...'X'. Passing in False will cause data to be overwritten if there
-    are duplicate names in the columns.
+    'X'...'X'. Passing in False will in the future cause data to be overwritten
+    if there are duplicate names in the columns, but is currently not permitted.
 {storage_options}
 
     .. versionadded:: 1.2.0

From 29ccd05512e8f4648aa8aed6d153896f4761065e Mon Sep 17 00:00:00 2001
From: JosephShyFang <32496804+JosephShyFang@users.noreply.github.com>
Date: Tue, 17 May 2022 19:39:36 -0400
Subject: [PATCH 2/2] Update readers.py

---
 pandas/io/parsers/readers.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pandas/io/parsers/readers.py b/pandas/io/parsers/readers.py
index f853251d599d2..6a086bc251efe 100644
--- a/pandas/io/parsers/readers.py
+++ b/pandas/io/parsers/readers.py
@@ -159,8 +159,8 @@
        Use a list comprehension on the DataFrame's columns after calling ``read_csv``.
 mangle_dupe_cols : bool, default True
     Duplicate columns will be specified as 'X', 'X.1', ...'X.N', rather than
-    'X'...'X'. Passing in False will cause data to be overwritten if there
-    are duplicate names in the columns.
+    'X'...'X'. Passing in False will in the future cause data to be overwritten
+    if there are duplicate names in the columns, but is currently not permitted.
 dtype : Type name or dict of column -> type, optional
     Data type for data or columns. E.g. {{'a': np.float64, 'b': np.int32,
     'c': 'Int64'}}