From 01b5d26c559dfddc8a4fd30ddf89d579a336c594 Mon Sep 17 00:00:00 2001
From: Thomas Li <47963215+lithomas1@users.noreply.github.com>
Date: Mon, 9 Sep 2024 01:11:28 -0400
Subject: [PATCH] silence infer_objects warning for object backed string type

---
 pandas/core/frame.py        | 7 ++++++-
 pandas/core/indexes/base.py | 8 +++++++-
 pandas/core/series.py       | 8 +++++++-
 3 files changed, 20 insertions(+), 3 deletions(-)

diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 1403fc2ceaaf8..7a61533e46007 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -923,7 +923,12 @@ def __init__(
 
         NDFrame.__init__(self, mgr)
 
-        if original_dtype is None and is_pandas_object and data_dtype == np.object_:
+        if (
+            original_dtype is None
+            and is_pandas_object
+            and data_dtype == np.object_
+            and self.dtypes.iloc[0] != "str"
+        ):
             if self.dtypes.iloc[0] != data_dtype:
                 warnings.warn(
                     "Dtype inference on a pandas object "
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 825316585c03c..7be899877e0a8 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -575,7 +575,13 @@ def __new__(
 
         arr = klass._ensure_array(arr, arr.dtype, copy=False)
         result = klass._simple_new(arr, name, refs=refs)
-        if dtype is None and is_pandas_object and data_dtype == np.object_:
+        # TODO: also verify this check
+        if (
+            dtype is None
+            and is_pandas_object
+            and data_dtype == np.object_
+            and result.dtype != "str"
+        ):
             if result.dtype != data_dtype:
                 warnings.warn(
                     "Dtype inference on a pandas object "
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 6fd019656d207..042c36558f4a1 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -593,7 +593,13 @@ def __init__(
         self.name = name
         self._set_axis(0, index)
 
-        if original_dtype is None and is_pandas_object and data_dtype == np.object_:
+        # TODO: verify we're silencing the warning correctly here
+        if (
+            original_dtype is None
+            and is_pandas_object
+            and data_dtype == np.object_
+            and self.dtype != "str"
+        ):
             if self.dtype != data_dtype:
                 warnings.warn(
                     "Dtype inference on a pandas object "