Added warning filters to relevant tests

Author: jhendricks487

pandas/tests/indexing/test_loc.py

@@ -2067,7 +2067,12 @@ def test_loc_setitem_with_expansion_inf_upcast_empty(self):
         expected = Index([0, 1, np.inf], dtype=np.float64)
         tm.assert_index_equal(result, expected)
 
-    @pytest.mark.filterwarnings("ignore:indexing past lexsort depth")
+    @pytest.mark.filterwarnings(
+        [
+            "ignore:indexing past lexsort depth",
+            "ignore:empty string to Timestamp is deprecated",
+        ]
+    )
     def test_loc_setitem_with_expansion_nonunique_index(self, index):
         # GH#40096
         if not len(index):

pandas/tests/io/formats/test_to_csv.py

@@ -297,6 +297,7 @@ def test_to_csv_different_datetime_formats(self):
         expected = tm.convert_rows_list_to_csv_str(expected_rows)
         assert df.to_csv(index=False) == expected
 
+    @pytest.mark.filterwarnings("ignore:empty string to Timestamp is deprecated")
     def test_to_csv_date_format_in_categorical(self):
         # GH#40754
         ser = pd.Series(pd.to_datetime(["2021-03-27", pd.NaT], format="%Y-%m-%d"))

pandas/tests/scalar/timestamp/test_constructors.py

@@ -1078,6 +1078,7 @@ def test_non_nano_value():
     assert result == -52700112000
 
 
+@pytest.mark.filterwarnings("ignore:empty string to Timestamp is deprecated")
 @pytest.mark.parametrize("na_value", [None, np.nan, np.datetime64("NaT"), NaT, NA])
 def test_timestamp_constructor_na_value(na_value):
     # GH45481

pandas/tests/test_multilevel.py

@@ -295,6 +295,7 @@ def test_multiindex_insert_level_with_na(self, na):
         df[na, "B"] = 1
         tm.assert_frame_equal(df[na], DataFrame([1], columns=["B"]))
 
+    @pytest.mark.filterwarnings("ignore:empty string to Timestamp is deprecated")
     def test_multiindex_dt_with_nan(self):
         # GH#60388
         df = DataFrame(