diff --git a/pandas/tests/frame/test_repr_info.py b/pandas/tests/frame/test_repr_info.py
index c5d4d59adbc35..48cf37a9abc8b 100644
--- a/pandas/tests/frame/test_repr_info.py
+++ b/pandas/tests/frame/test_repr_info.py
@@ -212,3 +212,8 @@ def test_repr_np_nat_with_object(self, arg, box, expected):
         # GH 25445
         result = repr(box([arg("NaT")], dtype=object))
         assert result == expected
+
+    def test_frame_datetime64_pre1900_repr(self):
+        df = DataFrame({"year": date_range("1/1/1700", periods=50, freq="A-DEC")})
+        # it works!
+        repr(df)
diff --git a/pandas/tests/frame/test_timeseries.py b/pandas/tests/frame/test_timeseries.py
index d8eeed69d66e2..452af895e4967 100644
--- a/pandas/tests/frame/test_timeseries.py
+++ b/pandas/tests/frame/test_timeseries.py
@@ -20,11 +20,6 @@ def test_frame_append_datetime64_column(self):
         df["A"] = rng
         assert np.issubdtype(df["A"].dtype, np.dtype("M8[ns]"))
 
-    def test_frame_datetime64_pre1900_repr(self):
-        df = DataFrame({"year": date_range("1/1/1700", periods=50, freq="A-DEC")})
-        # it works!
-        repr(df)
-
     def test_frame_append_datetime64_col_other_units(self):
         n = 100
 
diff --git a/pandas/tests/series/indexing/test_alter_index.py b/pandas/tests/series/indexing/test_alter_index.py
index 05bd967903e9d..a3c431696b689 100644
--- a/pandas/tests/series/indexing/test_alter_index.py
+++ b/pandas/tests/series/indexing/test_alter_index.py
@@ -523,9 +523,9 @@ def test_drop_unique_and_non_unique_index(
     ],
 )
 def test_drop_exception_raised(data, index, drop_labels, axis, error_type, error_desc):
-
+    ser = Series(data, index=index)
     with pytest.raises(error_type, match=error_desc):
-        Series(data, index=index).drop(drop_labels, axis=axis)
+        ser.drop(drop_labels, axis=axis)
 
 
 def test_drop_with_ignore_errors():
@@ -565,6 +565,7 @@ def test_drop_empty_list(index, drop_labels):
 )
 def test_drop_non_empty_list(data, index, drop_labels):
     # GH 21494 and GH 16877
+    dtype = object if data is None else None
+    ser = pd.Series(data=data, index=index, dtype=dtype)
     with pytest.raises(KeyError, match="not found in axis"):
-        dtype = object if data is None else None
-        pd.Series(data=data, index=index, dtype=dtype).drop(drop_labels)
+        ser.drop(drop_labels)
diff --git a/pandas/tests/series/test_repr.py b/pandas/tests/series/test_repr.py
index 64a8c4569406e..77f942a9e32ec 100644
--- a/pandas/tests/series/test_repr.py
+++ b/pandas/tests/series/test_repr.py
@@ -218,6 +218,25 @@ def test_index_repr_in_frame_with_nan(self):
 
         assert repr(s) == exp
 
+    def test_format_pre_1900_dates(self):
+        rng = date_range("1/1/1850", "1/1/1950", freq="A-DEC")
+        rng.format()
+        ts = Series(1, index=rng)
+        repr(ts)
+
+    def test_series_repr_nat(self):
+        series = Series([0, 1000, 2000, pd.NaT.value], dtype="M8[ns]")
+
+        result = repr(series)
+        expected = (
+            "0   1970-01-01 00:00:00.000000\n"
+            "1   1970-01-01 00:00:00.000001\n"
+            "2   1970-01-01 00:00:00.000002\n"
+            "3                          NaT\n"
+            "dtype: datetime64[ns]"
+        )
+        assert result == expected
+
 
 class TestCategoricalRepr:
     def test_categorical_repr_unicode(self):
diff --git a/pandas/tests/series/test_timeseries.py b/pandas/tests/series/test_timeseries.py
index 9796a32532b99..563cfa57c9214 100644
--- a/pandas/tests/series/test_timeseries.py
+++ b/pandas/tests/series/test_timeseries.py
@@ -2,8 +2,6 @@
 
 import numpy as np
 
-from pandas._libs.tslib import iNaT
-
 import pandas as pd
 from pandas import DataFrame, DatetimeIndex, Series, date_range, timedelta_range
 import pandas._testing as tm
@@ -88,19 +86,6 @@ def test_series_ctor_datetime64(self):
         series = Series(dates)
         assert np.issubdtype(series.dtype, np.dtype("M8[ns]"))
 
-    def test_series_repr_nat(self):
-        series = Series([0, 1000, 2000, iNaT], dtype="M8[ns]")
-
-        result = repr(series)
-        expected = (
-            "0   1970-01-01 00:00:00.000000\n"
-            "1   1970-01-01 00:00:00.000001\n"
-            "2   1970-01-01 00:00:00.000002\n"
-            "3                          NaT\n"
-            "dtype: datetime64[ns]"
-        )
-        assert result == expected
-
     def test_promote_datetime_date(self):
         rng = date_range("1/1/2000", periods=20)
         ts = Series(np.random.randn(20), index=rng)
@@ -124,12 +109,6 @@ def test_promote_datetime_date(self):
         expected = rng.get_indexer(ts_slice.index)
         tm.assert_numpy_array_equal(result, expected)
 
-    def test_format_pre_1900_dates(self):
-        rng = date_range("1/1/1850", "1/1/1950", freq="A-DEC")
-        rng.format()
-        ts = Series(1, index=rng)
-        repr(ts)
-
     def test_groupby_count_dateparseerror(self):
         dr = date_range(start="1/1/2012", freq="5min", periods=10)