diff --git a/pyproject.toml b/pyproject.toml
index 0259c3e7d..e823708d5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,7 +41,7 @@ pytest = ">=7.1.2"
 pyright = ">=1.1.286"
 poethepoet = ">=0.16.5"
 loguru = ">=0.6.0"
-pandas = "1.5.2"
+pandas = "1.5.3"
 numpy = ">=1.24.1"
 typing-extensions = ">=4.2.0"
 matplotlib = ">=3.5.1"
diff --git a/tests/test_frame.py b/tests/test_frame.py
index e31c05a21..527e3ff5a 100644
--- a/tests/test_frame.py
+++ b/tests/test_frame.py
@@ -6,7 +6,6 @@
 import io
 import itertools
 from pathlib import Path
-import platform
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -2081,15 +2080,7 @@ class MyDataFrame(pd.DataFrame, Generic[T]):
     def func() -> MyDataFrame[int]:
         return MyDataFrame[int]({"foo": [1, 2, 3]})
 
-    # This should be fixed in pandas 1.5.2, if
-    # https://github.com/pandas-dev/pandas/pull/49736 is included
-    with pytest_warns_bounded(
-        UserWarning,
-        "Pandas doesn't allow columns to be created",
-        lower="3.10.99",
-        version_str=platform.python_version(),
-    ):
-        func()
+    func()
 
 
 def test_to_xarray():
diff --git a/tests/test_pandas.py b/tests/test_pandas.py
index b16daf65d..3ab353d36 100644
--- a/tests/test_pandas.py
+++ b/tests/test_pandas.py
@@ -13,7 +13,6 @@
 import pandas as pd
 from pandas import Grouper
 from pandas.api.extensions import ExtensionArray
-from pandas.util.version import Version
 import pytest
 from typing_extensions import assert_type
 
@@ -1448,7 +1447,7 @@ def test_crosstab_args() -> None:
     )
     with pytest_warns_bounded(
         FutureWarning,
-        "pivot_table dropped a column because",
+        r"The operation.*failed on a column",
         upper="1.5.99",
         upper_exception=TypeError,
     ):
@@ -1706,7 +1705,8 @@ def test_pivot_table() -> None:
         ),
         pd.DataFrame,
     )
-    if Version(np.__version__) <= Version("1.23.5"):
+    if PD_LTE_15:
+        # Nightly builds failing since 1/12/2023, but this is fixed since then
         check(
             assert_type(
                 pd.pivot_table(