Remove unnecessary f-strings

Author: mgmarino

pandas/core/series.py

@@ -2584,10 +2584,7 @@ def append(self, to_append, ignore_index=False, verify_integrity=False):
         else:
             to_concat = [self, to_append]
         if any(isinstance(x, (ABCDataFrame,)) for x in to_concat[1:]):
-            msg = (
-                f"to_append should be a Series or list/tuple of Series, "
-                f"got DataFrame"
-            )
+            msg = "to_append should be a Series or list/tuple of Series, got DataFrame"
             raise TypeError(msg)
         return concat(
             to_concat, ignore_index=ignore_index, verify_integrity=verify_integrity

pandas/tests/groupby/aggregate/test_numba.py

@@ -18,10 +18,10 @@ def incorrect_function(x):
         {"key": ["a", "a", "b", "b", "a"], "data": [1.0, 2.0, 3.0, 4.0, 5.0]},
         columns=["key", "data"],
     )
-    with pytest.raises(NumbaUtilError, match=f"The first 2"):
+    with pytest.raises(NumbaUtilError, match="The first 2"):
         data.groupby("key").agg(incorrect_function, engine="numba")
 
-    with pytest.raises(NumbaUtilError, match=f"The first 2"):
+    with pytest.raises(NumbaUtilError, match="The first 2"):
         data.groupby("key")["data"].agg(incorrect_function, engine="numba")
 
 

pandas/tests/groupby/transform/test_numba.py

@@ -17,10 +17,10 @@ def incorrect_function(x):
         {"key": ["a", "a", "b", "b", "a"], "data": [1.0, 2.0, 3.0, 4.0, 5.0]},
         columns=["key", "data"],
     )
-    with pytest.raises(NumbaUtilError, match=f"The first 2"):
+    with pytest.raises(NumbaUtilError, match="The first 2"):
         data.groupby("key").transform(incorrect_function, engine="numba")
 
-    with pytest.raises(NumbaUtilError, match=f"The first 2"):
+    with pytest.raises(NumbaUtilError, match="The first 2"):
         data.groupby("key")["data"].transform(incorrect_function, engine="numba")
 
 

pandas/tests/io/test_stata.py

@@ -1861,7 +1861,7 @@ def test_writer_118_exceptions(self):
 @pytest.mark.parametrize("version", [105, 108, 111, 113, 114])
 def test_backward_compat(version, datapath):
     data_base = datapath("io", "data", "stata")
-    ref = os.path.join(data_base, f"stata-compat-118.dta")
+    ref = os.path.join(data_base, "stata-compat-118.dta")
     old = os.path.join(data_base, f"stata-compat-{version}.dta")
     expected = pd.read_stata(ref)
     old_dta = pd.read_stata(old)