diff --git a/pandas/tests/io/test_pickle.py b/pandas/tests/io/test_pickle.py
index 04fd4835469a9..78b630bb5ada1 100644
--- a/pandas/tests/io/test_pickle.py
+++ b/pandas/tests/io/test_pickle.py
@@ -60,9 +60,7 @@ def compare_element(result, expected, typ, version=None):
             assert result == expected
             assert result.freq == expected.freq
     else:
-        comparator = getattr(
-            tm, "assert_{typ}_equal".format(typ=typ), tm.assert_almost_equal
-        )
+        comparator = getattr(tm, f"assert_{typ}_equal", tm.assert_almost_equal)
         comparator(result, expected)
 
 
@@ -77,7 +75,7 @@ def compare(data, vf, version):
 
             # use a specific comparator
             # if available
-            comparator = "compare_{typ}_{dt}".format(typ=typ, dt=dt)
+            comparator = f"compare_{typ}_{dt}"
 
             comparator = m.get(comparator, m["compare_element"])
             comparator(result, expected, typ, version)
@@ -234,7 +232,7 @@ def test_legacy_sparse_warning(datapath):
 
 @pytest.fixture
 def get_random_path():
-    return "__{}__.pickle".format(tm.rands(10))
+    return f"__{tm.rands(10)}__.pickle"
 
 
 class TestCompression:
@@ -262,7 +260,7 @@ def compress_file(self, src_path, dest_path, compression):
         elif compression == "xz":
             f = _get_lzma_file(lzma)(dest_path, "w")
         else:
-            msg = "Unrecognized compression type: {}".format(compression)
+            msg = f"Unrecognized compression type: {compression}"
             raise ValueError(msg)
 
         if compression != "zip":
diff --git a/pandas/tests/series/indexing/test_indexing.py b/pandas/tests/series/indexing/test_indexing.py
index 1b21e2419595f..fa5c75d5e4ad9 100644
--- a/pandas/tests/series/indexing/test_indexing.py
+++ b/pandas/tests/series/indexing/test_indexing.py
@@ -429,7 +429,7 @@ def test_basic_getitem_setitem_corner(datetime_series):
 @pytest.mark.parametrize("tz", ["US/Eastern", "UTC", "Asia/Tokyo"])
 def test_setitem_with_tz(tz):
     orig = pd.Series(pd.date_range("2016-01-01", freq="H", periods=3, tz=tz))
-    assert orig.dtype == "datetime64[ns, {0}]".format(tz)
+    assert orig.dtype == f"datetime64[ns, {tz}]"
 
     # scalar
     s = orig.copy()
@@ -456,7 +456,7 @@ def test_setitem_with_tz(tz):
         [pd.Timestamp("2011-01-01", tz=tz), pd.Timestamp("2012-01-01", tz=tz)],
         index=[1, 2],
     )
-    assert vals.dtype == "datetime64[ns, {0}]".format(tz)
+    assert vals.dtype == f"datetime64[ns, {tz}]"
 
     s[[1, 2]] = vals
     exp = pd.Series(
@@ -481,7 +481,7 @@ def test_setitem_with_tz_dst():
     # GH XXX
     tz = "US/Eastern"
     orig = pd.Series(pd.date_range("2016-11-06", freq="H", periods=3, tz=tz))
-    assert orig.dtype == "datetime64[ns, {0}]".format(tz)
+    assert orig.dtype == f"datetime64[ns, {tz}]"
 
     # scalar
     s = orig.copy()
@@ -508,7 +508,7 @@ def test_setitem_with_tz_dst():
         [pd.Timestamp("2011-01-01", tz=tz), pd.Timestamp("2012-01-01", tz=tz)],
         index=[1, 2],
     )
-    assert vals.dtype == "datetime64[ns, {0}]".format(tz)
+    assert vals.dtype == f"datetime64[ns, {tz}]"
 
     s[[1, 2]] = vals
     exp = pd.Series(