From d8a92ee37beb45daeded08f2dc31e59fe47b8790 Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 29 Nov 2023 10:42:30 -0800
Subject: [PATCH 1/6] Remove makeObjectSeries

---
 pandas/_testing/__init__.py            | 7 -------
 pandas/conftest.py                     | 6 +++---
 pandas/tests/arithmetic/test_object.py | 3 +--
 pandas/tests/dtypes/test_missing.py    | 8 ++++++--
 4 files changed, 10 insertions(+), 14 deletions(-)

diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index b1918e1b1d7c2..af97e6c189b64 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -356,12 +356,6 @@ def makeDateIndex(
     return DatetimeIndex(dr, name=name, **kwargs)
 
 
-def makeObjectSeries(name=None) -> Series:
-    data = [f"foo_{i}" for i in range(_N)]
-    index = Index([f"bar_{i}" for i in range(_N)])
-    return Series(data, index=index, name=name, dtype=object)
-
-
 def getSeriesData() -> dict[str, Series]:
     index = Index([f"foo_{i}" for i in range(_N)])
     return {
@@ -934,7 +928,6 @@ def shares_memory(left, right) -> bool:
     "makeCustomIndex",
     "makeDataFrame",
     "makeDateIndex",
-    "makeObjectSeries",
     "makeTimeDataFrame",
     "makeTimeSeries",
     "maybe_produces_warning",
diff --git a/pandas/conftest.py b/pandas/conftest.py
index 1bc067eb32aef..fb8e9119d1f42 100644
--- a/pandas/conftest.py
+++ b/pandas/conftest.py
@@ -751,9 +751,9 @@ def object_series() -> Series:
     """
     Fixture for Series of dtype object with Index of unique strings
     """
-    s = tm.makeObjectSeries()
-    s.name = "objects"
-    return s
+    data = [f"foo_{i}" for i in range(30)]
+    index = Index([f"bar_{i}" for i in range(30)], dtype=object)
+    return Series(data, index=index, name="objects", dtype=object)
 
 
 @pytest.fixture
diff --git a/pandas/tests/arithmetic/test_object.py b/pandas/tests/arithmetic/test_object.py
index 6b36f447eb7d5..7d27f940daa4c 100644
--- a/pandas/tests/arithmetic/test_object.py
+++ b/pandas/tests/arithmetic/test_object.py
@@ -169,8 +169,7 @@ def test_objarr_add_invalid(self, op, box_with_array):
         # invalid ops
         box = box_with_array
 
-        obj_ser = tm.makeObjectSeries()
-        obj_ser.name = "objects"
+        obj_ser = Series(list("abc"), dtype=object, name="objects")
 
         obj_ser = tm.box_expected(obj_ser, box)
         msg = "|".join(
diff --git a/pandas/tests/dtypes/test_missing.py b/pandas/tests/dtypes/test_missing.py
index 88cec50c08aba..e1f8d8eca2537 100644
--- a/pandas/tests/dtypes/test_missing.py
+++ b/pandas/tests/dtypes/test_missing.py
@@ -78,8 +78,12 @@ def test_notna_notnull(notna_f):
 @pytest.mark.parametrize(
     "ser",
     [
-        tm.makeObjectSeries(),
-        tm.makeTimeSeries(),
+        Series(
+            [str(i) for i in range(5)],
+            index=Index([str(i) for i in range(5)], dtype=object),
+            dtype=object,
+        ),
+        Series(range(5), date_range("2020-01-01", periods=5)),
         Series(range(5), period_range("2020-01-01", periods=5)),
     ],
 )

From 3b2d3e77a13b3f546e83597ede5b9b88909a27a9 Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 29 Nov 2023 11:01:24 -0800
Subject: [PATCH 2/6] Remove makeDatetimeIndex

---
 pandas/_testing/__init__.py                        | 14 +-------------
 pandas/conftest.py                                 |  9 +++++----
 pandas/tests/arithmetic/test_datetime64.py         |  2 +-
 .../tests/indexes/datetimes/methods/test_asof.py   |  3 +--
 .../indexes/datetimes/methods/test_isocalendar.py  |  3 ++-
 .../tests/indexes/datetimes/test_scalar_compat.py  |  2 +-
 pandas/tests/indexes/datetimes/test_setops.py      |  6 +++---
 pandas/tests/indexes/test_base.py                  |  8 +++++---
 pandas/tests/io/pytables/test_time_series.py       |  5 +++--
 pandas/tests/plotting/test_converter.py            |  2 +-
 pandas/tests/plotting/test_series.py               |  2 +-
 pandas/tests/series/indexing/test_get.py           |  6 +++++-
 pandas/tests/series/methods/test_fillna.py         | 12 +++++++++---
 pandas/tests/series/methods/test_replace.py        |  8 ++++----
 pandas/tests/series/test_constructors.py           |  2 +-
 15 files changed, 43 insertions(+), 41 deletions(-)

diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index af97e6c189b64..79d8ac31cc6f8 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -2,7 +2,6 @@
 
 import collections
 from collections import Counter
-from datetime import datetime
 from decimal import Decimal
 import operator
 import os
@@ -36,12 +35,10 @@
     ArrowDtype,
     Categorical,
     DataFrame,
-    DatetimeIndex,
     Index,
     MultiIndex,
     RangeIndex,
     Series,
-    bdate_range,
     date_range,
     period_range,
     timedelta_range,
@@ -348,14 +345,6 @@ def getCols(k) -> str:
     return string.ascii_uppercase[:k]
 
 
-def makeDateIndex(
-    k: int = 10, freq: Frequency = "B", name=None, **kwargs
-) -> DatetimeIndex:
-    dt = datetime(2000, 1, 1)
-    dr = bdate_range(dt, periods=k, freq=freq, name=name)
-    return DatetimeIndex(dr, name=name, **kwargs)
-
-
 def getSeriesData() -> dict[str, Series]:
     index = Index([f"foo_{i}" for i in range(_N)])
     return {
@@ -369,7 +358,7 @@ def makeTimeSeries(nper=None, freq: Frequency = "B", name=None) -> Series:
         nper = _N
     return Series(
         np.random.default_rng(2).standard_normal(nper),
-        index=makeDateIndex(nper, freq=freq),
+        index=date_range("2020-01-01", periods=nper, freq=freq),
         name=name,
     )
 
@@ -927,7 +916,6 @@ def shares_memory(left, right) -> bool:
     "makeCustomDataframe",
     "makeCustomIndex",
     "makeDataFrame",
-    "makeDateIndex",
     "makeTimeDataFrame",
     "makeTimeSeries",
     "maybe_produces_warning",
diff --git a/pandas/conftest.py b/pandas/conftest.py
index fb8e9119d1f42..7c2bbc6e0b723 100644
--- a/pandas/conftest.py
+++ b/pandas/conftest.py
@@ -68,6 +68,7 @@
     Series,
     Timedelta,
     Timestamp,
+    date_range,
     period_range,
     timedelta_range,
 )
@@ -608,15 +609,15 @@ def _create_mi_with_dt64tz_level():
     """
     # GH#8367 round trip with pickle
     return MultiIndex.from_product(
-        [[1, 2], ["a", "b"], pd.date_range("20130101", periods=3, tz="US/Eastern")],
+        [[1, 2], ["a", "b"], date_range("20130101", periods=3, tz="US/Eastern")],
         names=["one", "two", "three"],
     )
 
 
 indices_dict = {
     "string": Index([f"pandas_{i}" for i in range(100)]),
-    "datetime": tm.makeDateIndex(100),
-    "datetime-tz": tm.makeDateIndex(100, tz="US/Pacific"),
+    "datetime": date_range("2020-01-01", periods=100),
+    "datetime-tz": date_range("2020-01-01", periods=100, tz="US/Pacific"),
     "period": period_range("2020-01-01", periods=100, freq="D"),
     "timedelta": timedelta_range(start="1 day", periods=100, freq="D"),
     "range": RangeIndex(100),
@@ -631,7 +632,7 @@ def _create_mi_with_dt64tz_level():
     "float32": Index(np.arange(100), dtype="float32"),
     "float64": Index(np.arange(100), dtype="float64"),
     "bool-object": Index([True, False] * 5, dtype=object),
-    "bool-dtype": Index(np.random.default_rng(2).standard_normal(10) < 0),
+    "bool-dtype": Index([True, False] * 5, dtype=bool),
     "complex64": Index(
         np.arange(100, dtype="complex64") + 1.0j * np.arange(100, dtype="complex64")
     ),
diff --git a/pandas/tests/arithmetic/test_datetime64.py b/pandas/tests/arithmetic/test_datetime64.py
index 9014ba4b6093e..4bd0e6c1c3694 100644
--- a/pandas/tests/arithmetic/test_datetime64.py
+++ b/pandas/tests/arithmetic/test_datetime64.py
@@ -394,7 +394,7 @@ def test_dt64_compare_datetime_scalar(self, datetimelike, op, expected):
 class TestDatetimeIndexComparisons:
     # TODO: moved from tests.indexes.test_base; parametrize and de-duplicate
     def test_comparators(self, comparison_op):
-        index = tm.makeDateIndex(100)
+        index = date_range("2020-01-01", periods=10)
         element = index[len(index) // 2]
         element = Timestamp(element).to_datetime64()
 
diff --git a/pandas/tests/indexes/datetimes/methods/test_asof.py b/pandas/tests/indexes/datetimes/methods/test_asof.py
index f52b6da5b2f07..dc92f533087bc 100644
--- a/pandas/tests/indexes/datetimes/methods/test_asof.py
+++ b/pandas/tests/indexes/datetimes/methods/test_asof.py
@@ -6,7 +6,6 @@
     date_range,
     isna,
 )
-import pandas._testing as tm
 
 
 class TestAsOf:
@@ -18,7 +17,7 @@ def test_asof_partial(self):
         assert not isinstance(result, Index)
 
     def test_asof(self):
-        index = tm.makeDateIndex(100)
+        index = date_range("2020-01-01", periods=10)
 
         dt = index[0]
         assert index.asof(dt) == dt
diff --git a/pandas/tests/indexes/datetimes/methods/test_isocalendar.py b/pandas/tests/indexes/datetimes/methods/test_isocalendar.py
index 3f5a18675735a..97f1003e0f43f 100644
--- a/pandas/tests/indexes/datetimes/methods/test_isocalendar.py
+++ b/pandas/tests/indexes/datetimes/methods/test_isocalendar.py
@@ -1,6 +1,7 @@
 from pandas import (
     DataFrame,
     DatetimeIndex,
+    date_range,
 )
 import pandas._testing as tm
 
@@ -21,7 +22,7 @@ def test_isocalendar_returns_correct_values_close_to_new_year_with_tz():
 
 
 def test_dti_timestamp_isocalendar_fields():
-    idx = tm.makeDateIndex(100)
+    idx = date_range("2020-01-01", periods=10)
     expected = tuple(idx.isocalendar().iloc[-1].to_list())
     result = idx[-1].isocalendar()
     assert result == expected
diff --git a/pandas/tests/indexes/datetimes/test_scalar_compat.py b/pandas/tests/indexes/datetimes/test_scalar_compat.py
index 81992219d71b4..e93fc0e2a4e2e 100644
--- a/pandas/tests/indexes/datetimes/test_scalar_compat.py
+++ b/pandas/tests/indexes/datetimes/test_scalar_compat.py
@@ -106,7 +106,7 @@ def test_dti_timetz(self, tz_naive_fixture):
     )
     def test_dti_timestamp_fields(self, field):
         # extra fields from DatetimeIndex like quarter and week
-        idx = tm.makeDateIndex(100)
+        idx = date_range("2020-01-01", periods=10)
         expected = getattr(idx, field)[-1]
 
         result = getattr(Timestamp(idx[-1]), field)
diff --git a/pandas/tests/indexes/datetimes/test_setops.py b/pandas/tests/indexes/datetimes/test_setops.py
index 993f88db38ea6..3ed7fcc027a06 100644
--- a/pandas/tests/indexes/datetimes/test_setops.py
+++ b/pandas/tests/indexes/datetimes/test_setops.py
@@ -42,7 +42,7 @@ class TestDatetimeIndexSetOps:
 
     # TODO: moved from test_datetimelike; dedup with version below
     def test_union2(self, sort):
-        everything = tm.makeDateIndex(10)
+        everything = date_range("2020-01-01", periods=10)
         first = everything[:5]
         second = everything[5:]
         union = first.union(second, sort=sort)
@@ -50,7 +50,7 @@ def test_union2(self, sort):
 
     @pytest.mark.parametrize("box", [np.array, Series, list])
     def test_union3(self, sort, box):
-        everything = tm.makeDateIndex(10)
+        everything = date_range("2020-01-01", periods=10)
         first = everything[:5]
         second = everything[5:]
 
@@ -203,7 +203,7 @@ def test_union_same_timezone_different_units(self):
 
     # TODO: moved from test_datetimelike; de-duplicate with version below
     def test_intersection2(self):
-        first = tm.makeDateIndex(10)
+        first = date_range("2020-01-01", periods=10)
         second = first[5:]
         intersect = first.intersection(second)
         tm.assert_index_equal(intersect, second)
diff --git a/pandas/tests/indexes/test_base.py b/pandas/tests/indexes/test_base.py
index 3db81c0285bd2..bb8822f047330 100644
--- a/pandas/tests/indexes/test_base.py
+++ b/pandas/tests/indexes/test_base.py
@@ -540,7 +540,9 @@ def test_map_tseries_indices_return_index(self, index):
         tm.assert_index_equal(expected, result)
 
     def test_map_tseries_indices_accsr_return_index(self):
-        date_index = tm.makeDateIndex(24, freq="h", name="hourly")
+        date_index = DatetimeIndex(
+            date_range("2020-01-01", periods=24, freq="h"), name="hourly"
+        )
         result = date_index.map(lambda x: x.hour)
         expected = Index(np.arange(24, dtype="int64"), name="hourly")
         tm.assert_index_equal(result, expected, exact=True)
@@ -1001,7 +1003,7 @@ def test_str_attribute(self, method):
         "index",
         [
             Index(range(5)),
-            tm.makeDateIndex(10),
+            date_range("2020-01-01", periods=10),
             MultiIndex.from_tuples([("foo", "1"), ("bar", "3")]),
             period_range(start="2000", end="2010", freq="Y"),
         ],
@@ -1065,7 +1067,7 @@ def test_indexing_doesnt_change_class(self):
 
     def test_outer_join_sort(self):
         left_index = Index(np.random.default_rng(2).permutation(15))
-        right_index = tm.makeDateIndex(10)
+        right_index = date_range("2020-01-01", periods=10)
 
         with tm.assert_produces_warning(RuntimeWarning):
             result = left_index.join(right_index, how="outer")
diff --git a/pandas/tests/io/pytables/test_time_series.py b/pandas/tests/io/pytables/test_time_series.py
index 4afcf5600dce6..726dd0d420347 100644
--- a/pandas/tests/io/pytables/test_time_series.py
+++ b/pandas/tests/io/pytables/test_time_series.py
@@ -8,6 +8,7 @@
     DatetimeIndex,
     Series,
     _testing as tm,
+    date_range,
     period_range,
 )
 from pandas.tests.io.pytables.common import ensure_clean_store
@@ -28,7 +29,7 @@ def test_store_datetime_fractional_secs(setup_path, unit):
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 def test_tseries_indices_series(setup_path):
     with ensure_clean_store(setup_path) as store:
-        idx = tm.makeDateIndex(10)
+        idx = date_range("2020-01-01", periods=10)
         ser = Series(np.random.default_rng(2).standard_normal(len(idx)), idx)
         store["a"] = ser
         result = store["a"]
@@ -50,7 +51,7 @@ def test_tseries_indices_series(setup_path):
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 def test_tseries_indices_frame(setup_path):
     with ensure_clean_store(setup_path) as store:
-        idx = tm.makeDateIndex(10)
+        idx = date_range("2020-01-01", periods=10)
         df = DataFrame(
             np.random.default_rng(2).standard_normal((len(idx), 3)), index=idx
         )
diff --git a/pandas/tests/plotting/test_converter.py b/pandas/tests/plotting/test_converter.py
index 509e0ea5c482e..f748d7c5fc758 100644
--- a/pandas/tests/plotting/test_converter.py
+++ b/pandas/tests/plotting/test_converter.py
@@ -260,7 +260,7 @@ def test_time_formatter(self, time, format_expected):
     @pytest.mark.parametrize("freq", ("B", "ms", "s"))
     def test_dateindex_conversion(self, freq, dtc):
         rtol = 10**-9
-        dateindex = tm.makeDateIndex(k=10, freq=freq)
+        dateindex = date_range("2020-01-01", periods=10, freq=freq)
         rs = dtc.convert(dateindex, None, None)
         xp = converter.mdates.date2num(dateindex._mpl_repr())
         tm.assert_almost_equal(rs, xp, rtol=rtol)
diff --git a/pandas/tests/plotting/test_series.py b/pandas/tests/plotting/test_series.py
index c8b47666e1b4a..9bf76637e1d71 100644
--- a/pandas/tests/plotting/test_series.py
+++ b/pandas/tests/plotting/test_series.py
@@ -237,7 +237,7 @@ def test_boolean(self):
         with pytest.raises(TypeError, match=msg):
             _check_plot_works(s.plot)
 
-    @pytest.mark.parametrize("index", [None, tm.makeDateIndex(k=4)])
+    @pytest.mark.parametrize("index", [None, date_range("2020-01-01", periods=4)])
     def test_line_area_nan_series(self, index):
         values = [1, 2, np.nan, 3]
         d = Series(values, index=index)
diff --git a/pandas/tests/series/indexing/test_get.py b/pandas/tests/series/indexing/test_get.py
index 61007c08b50e0..1f3711ad91903 100644
--- a/pandas/tests/series/indexing/test_get.py
+++ b/pandas/tests/series/indexing/test_get.py
@@ -3,8 +3,10 @@
 
 import pandas as pd
 from pandas import (
+    DatetimeIndex,
     Index,
     Series,
+    date_range,
 )
 import pandas._testing as tm
 
@@ -168,7 +170,9 @@ def test_get_with_default():
     "arr",
     [
         np.random.default_rng(2).standard_normal(10),
-        tm.makeDateIndex(10, name="a").tz_localize(tz="US/Eastern"),
+        DatetimeIndex(date_range("2020-01-01", periods=10), name="a").tz_localize(
+            tz="US/Eastern"
+        ),
     ],
 )
 def test_get_with_ea(arr):
diff --git a/pandas/tests/series/methods/test_fillna.py b/pandas/tests/series/methods/test_fillna.py
index 5d0ef893d5723..a5170898b1720 100644
--- a/pandas/tests/series/methods/test_fillna.py
+++ b/pandas/tests/series/methods/test_fillna.py
@@ -71,7 +71,9 @@ def test_fillna_value_or_method(self, datetime_series):
             datetime_series.fillna(value=0, method="ffill")
 
     def test_fillna(self):
-        ts = Series([0.0, 1.0, 2.0, 3.0, 4.0], index=tm.makeDateIndex(5))
+        ts = Series(
+            [0.0, 1.0, 2.0, 3.0, 4.0], index=date_range("2020-01-01", periods=5)
+        )
 
         tm.assert_series_equal(ts, ts.fillna(method="ffill"))
 
@@ -880,7 +882,9 @@ def test_fillna_bug(self):
         tm.assert_series_equal(filled, expected)
 
     def test_ffill(self):
-        ts = Series([0.0, 1.0, 2.0, 3.0, 4.0], index=tm.makeDateIndex(5))
+        ts = Series(
+            [0.0, 1.0, 2.0, 3.0, 4.0], index=date_range("2020-01-01", periods=5)
+        )
         ts.iloc[2] = np.nan
         tm.assert_series_equal(ts.ffill(), ts.fillna(method="ffill"))
 
@@ -891,7 +895,9 @@ def test_ffill_mixed_dtypes_without_missing_data(self):
         tm.assert_series_equal(series, result)
 
     def test_bfill(self):
-        ts = Series([0.0, 1.0, 2.0, 3.0, 4.0], index=tm.makeDateIndex(5))
+        ts = Series(
+            [0.0, 1.0, 2.0, 3.0, 4.0], index=date_range("2020-01-01", periods=5)
+        )
         ts.iloc[2] = np.nan
         tm.assert_series_equal(ts.bfill(), ts.fillna(method="bfill"))
 
diff --git a/pandas/tests/series/methods/test_replace.py b/pandas/tests/series/methods/test_replace.py
index fe0f79b766f72..477f36bdf4214 100644
--- a/pandas/tests/series/methods/test_replace.py
+++ b/pandas/tests/series/methods/test_replace.py
@@ -52,7 +52,7 @@ def test_replace_noop_doesnt_downcast(self):
         assert res.dtype == object
 
     def test_replace(self):
-        N = 100
+        N = 50
         ser = pd.Series(np.random.default_rng(2).standard_normal(N))
         ser[0:4] = np.nan
         ser[6:10] = 0
@@ -70,7 +70,7 @@ def test_replace(self):
 
         ser = pd.Series(
             np.fabs(np.random.default_rng(2).standard_normal(N)),
-            tm.makeDateIndex(N),
+            pd.date_range("2020-01-01", periods=N),
             dtype=object,
         )
         ser[:5] = np.nan
@@ -290,10 +290,10 @@ def test_replace_Int_with_na(self, any_int_ea_dtype):
         tm.assert_series_equal(result, expected)
 
     def test_replace2(self):
-        N = 100
+        N = 50
         ser = pd.Series(
             np.fabs(np.random.default_rng(2).standard_normal(N)),
-            tm.makeDateIndex(N),
+            pd.date_range("2020-01-01", periods=N),
             dtype=object,
         )
         ser[:5] = np.nan
diff --git a/pandas/tests/series/test_constructors.py b/pandas/tests/series/test_constructors.py
index e08f8d0c15f39..773d7e174feac 100644
--- a/pandas/tests/series/test_constructors.py
+++ b/pandas/tests/series/test_constructors.py
@@ -2147,7 +2147,7 @@ def test_series_string_inference_na_first(self):
 
 class TestSeriesConstructorIndexCoercion:
     def test_series_constructor_datetimelike_index_coercion(self):
-        idx = tm.makeDateIndex(10000)
+        idx = date_range("2020-01-01", periods=5)
         ser = Series(
             np.random.default_rng(2).standard_normal(len(idx)), idx.astype(object)
         )

From 2bbd6a60ca8606857f7df250d92eeed94221355f Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 29 Nov 2023 11:02:50 -0800
Subject: [PATCH 3/6] Remove makeDataFrame

---
 pandas/_testing/__init__.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index 79d8ac31cc6f8..57adf35f9ad89 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -373,11 +373,6 @@ def makeTimeDataFrame(nper=None, freq: Frequency = "B") -> DataFrame:
     return DataFrame(data)
 
 
-def makeDataFrame() -> DataFrame:
-    data = getSeriesData()
-    return DataFrame(data)
-
-
 def makeCustomIndex(
     nentries,
     nlevels,
@@ -915,7 +910,6 @@ def shares_memory(left, right) -> bool:
     "loc",
     "makeCustomDataframe",
     "makeCustomIndex",
-    "makeDataFrame",
     "makeTimeDataFrame",
     "makeTimeSeries",
     "maybe_produces_warning",

From ed89785485498d129cc1df63e713a88cc2d7b346 Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 29 Nov 2023 11:45:50 -0800
Subject: [PATCH 4/6] Remove getSeriesData

---
 pandas/_testing/__init__.py                   |  9 --
 pandas/conftest.py                            | 52 +++--------
 pandas/tests/frame/conftest.py                | 93 +++++--------------
 pandas/tests/frame/indexing/test_xs.py        |  2 +-
 .../frame/methods/test_first_and_last.py      |  4 +-
 pandas/tests/frame/methods/test_info.py       |  4 +-
 pandas/tests/frame/methods/test_truncate.py   |  2 +-
 pandas/tests/frame/test_reductions.py         | 59 +++---------
 pandas/tests/io/json/test_pandas.py           | 17 ++--
 9 files changed, 62 insertions(+), 180 deletions(-)

diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index 57adf35f9ad89..6000c828555c6 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -345,14 +345,6 @@ def getCols(k) -> str:
     return string.ascii_uppercase[:k]
 
 
-def getSeriesData() -> dict[str, Series]:
-    index = Index([f"foo_{i}" for i in range(_N)])
-    return {
-        c: Series(np.random.default_rng(i).standard_normal(_N), index=index)
-        for i, c in enumerate(getCols(_K))
-    }
-
-
 def makeTimeSeries(nper=None, freq: Frequency = "B", name=None) -> Series:
     if nper is None:
         nper = _N
@@ -903,7 +895,6 @@ def shares_memory(left, right) -> bool:
     "get_finest_unit",
     "get_obj",
     "get_op_from_name",
-    "getSeriesData",
     "getTimeSeriesData",
     "iat",
     "iloc",
diff --git a/pandas/conftest.py b/pandas/conftest.py
index 7c2bbc6e0b723..9ed6f8f43ae03 100644
--- a/pandas/conftest.py
+++ b/pandas/conftest.py
@@ -840,27 +840,12 @@ def int_frame() -> DataFrame:
     Fixture for DataFrame of ints with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D']
-
-                A  B  C  D
-    vpBeWjM651  1  0  1  0
-    5JyxmrP1En -1  0  0  0
-    qEDaoD49U2 -1  1  0  0
-    m66TkTfsFe  0  0  0  0
-    EHPaNzEUFm -1  0 -1  0
-    fpRJCevQhi  2  0  0  0
-    OlQvnmfi3Q  0  0 -2  0
-    ...        .. .. .. ..
-    uB1FPlz4uP  0  0  0  1
-    EcSe6yNzCU  0  0 -1  0
-    L50VudaiI8 -1  1 -2  0
-    y3bpw4nwIp  0 -1  0  0
-    H0RdLLwrCT  1  1  0  0
-    rY82K0vMwm  0  0  0  0
-    1OPIUjnkjk  2  0  0  0
-
-    [30 rows x 4 columns]
     """
-    return DataFrame(tm.getSeriesData()).astype("int64")
+    return DataFrame(
+        np.ones((30, 4), dtype=np.int64),
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+        columns=Index(list("ABCD"), dtype=object),
+    )
 
 
 @pytest.fixture
@@ -869,27 +854,12 @@ def float_frame() -> DataFrame:
     Fixture for DataFrame of floats with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D'].
-
-                       A         B         C         D
-    P7GACiRnxd -0.465578 -0.361863  0.886172 -0.053465
-    qZKh6afn8n -0.466693 -0.373773  0.266873  1.673901
-    tkp0r6Qble  0.148691 -0.059051  0.174817  1.598433
-    wP70WOCtv8  0.133045 -0.581994 -0.992240  0.261651
-    M2AeYQMnCz -1.207959 -0.185775  0.588206  0.563938
-    QEPzyGDYDo -0.381843 -0.758281  0.502575 -0.565053
-    r78Jwns6dn -0.653707  0.883127  0.682199  0.206159
-    ...              ...       ...       ...       ...
-    IHEGx9NO0T -0.277360  0.113021 -1.018314  0.196316
-    lPMj8K27FA -1.313667 -0.604776 -1.305618 -0.863999
-    qa66YMWQa5  1.110525  0.475310 -0.747865  0.032121
-    yOa0ATsmcE -0.431457  0.067094  0.096567 -0.264962
-    65znX3uRNG  1.528446  0.160416 -0.109635 -0.032987
-    eCOBvKqf3e  0.235281  1.622222  0.781255  0.392871
-    xSucinXxuV -1.263557  0.252799 -0.552247  0.400426
-
-    [30 rows x 4 columns]
-    """
-    return DataFrame(tm.getSeriesData())
+    """
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((30, 4)),
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+        columns=Index(list("ABCD"), dtype=object),
+    )
 
 
 @pytest.fixture
diff --git a/pandas/tests/frame/conftest.py b/pandas/tests/frame/conftest.py
index f7ed5180b46d9..99ea565e5b60c 100644
--- a/pandas/tests/frame/conftest.py
+++ b/pandas/tests/frame/conftest.py
@@ -3,6 +3,7 @@
 
 from pandas import (
     DataFrame,
+    Index,
     NaT,
     date_range,
 )
@@ -44,27 +45,12 @@ def float_string_frame():
     Fixture for DataFrame of floats and strings with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D', 'foo'].
-
-                       A         B         C         D  foo
-    w3orJvq07g -1.594062 -1.084273 -1.252457  0.356460  bar
-    PeukuVdmz2  0.109855 -0.955086 -0.809485  0.409747  bar
-    ahp2KvwiM8 -1.533729 -0.142519 -0.154666  1.302623  bar
-    3WSJ7BUCGd  2.484964  0.213829  0.034778 -2.327831  bar
-    khdAmufk0U -0.193480 -0.743518 -0.077987  0.153646  bar
-    LE2DZiFlrE -0.193566 -1.343194 -0.107321  0.959978  bar
-    HJXSJhVn7b  0.142590  1.257603 -0.659409 -0.223844  bar
-    ...              ...       ...       ...       ...  ...
-    9a1Vypttgw -1.316394  1.601354  0.173596  1.213196  bar
-    h5d1gVFbEy  0.609475  1.106738 -0.155271  0.294630  bar
-    mK9LsTQG92  1.303613  0.857040 -1.019153  0.369468  bar
-    oOLksd9gKH  0.558219 -0.134491 -0.289869 -0.951033  bar
-    9jgoOjKyHg  0.058270 -0.496110 -0.413212 -0.852659  bar
-    jZLDHclHAO  0.096298  1.267510  0.549206 -0.005235  bar
-    lR0nxDp1C2 -2.119350 -0.794384  0.544118  0.145849  bar
-
-    [30 rows x 5 columns]
     """
-    df = DataFrame(tm.getSeriesData())
+    df = DataFrame(
+        np.random.default_rng(2).standard_normal((30, 4)),
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+        columns=Index(list("ABCD"), dtype=object),
+    )
     df["foo"] = "bar"
     return df
 
@@ -75,31 +61,18 @@ def mixed_float_frame():
     Fixture for DataFrame of different float types with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D'].
-
-                       A         B         C         D
-    GI7bbDaEZe -0.237908 -0.246225 -0.468506  0.752993
-    KGp9mFepzA -1.140809 -0.644046 -1.225586  0.801588
-    VeVYLAb1l2 -1.154013 -1.677615  0.690430 -0.003731
-    kmPME4WKhO  0.979578  0.998274 -0.776367  0.897607
-    CPyopdXTiz  0.048119 -0.257174  0.836426  0.111266
-    0kJZQndAj0  0.274357 -0.281135 -0.344238  0.834541
-    tqdwQsaHG8 -0.979716 -0.519897  0.582031  0.144710
-    ...              ...       ...       ...       ...
-    7FhZTWILQj -2.906357  1.261039 -0.780273 -0.537237
-    4pUDPM4eGq -2.042512 -0.464382 -0.382080  1.132612
-    B8dUgUzwTi -1.506637 -0.364435  1.087891  0.297653
-    hErlVYjVv9  1.477453 -0.495515 -0.713867  1.438427
-    1BKN3o7YLs  0.127535 -0.349812 -0.881836  0.489827
-    9S4Ekn7zga  1.445518 -2.095149  0.031982  0.373204
-    xN1dNn6OV6  1.425017 -0.983995 -0.363281 -0.224502
-
-    [30 rows x 4 columns]
     """
-    df = DataFrame(tm.getSeriesData())
-    df.A = df.A.astype("float32")
-    df.B = df.B.astype("float32")
-    df.C = df.C.astype("float16")
-    df.D = df.D.astype("float64")
+    df = DataFrame(
+        {
+            col: np.random.default_rng(2).random(30, dtype=dtype)
+            for col, dtype in zip(
+                list("ABCD"), ["float32", "float32", "float32", "float64"]
+            )
+        },
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+    )
+    # not supported by numpy random
+    df["C"] = df["C"].astype("float16")
     return df
 
 
@@ -109,32 +82,14 @@ def mixed_int_frame():
     Fixture for DataFrame of different int types with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D'].
-
-                A  B    C    D
-    mUrCZ67juP  0  1    2    2
-    rw99ACYaKS  0  1    0    0
-    7QsEcpaaVU  0  1    1    1
-    xkrimI2pcE  0  1    0    0
-    dz01SuzoS8  0  1  255  255
-    ccQkqOHX75 -1  1    0    0
-    DN0iXaoDLd  0  1    0    0
-    ...        .. ..  ...  ...
-    Dfb141wAaQ  1  1  254  254
-    IPD8eQOVu5  0  1    0    0
-    CcaKulsCmv  0  1    0    0
-    rIBa8gu7E5  0  1    0    0
-    RP6peZmh5o  0  1    1    1
-    NMb9pipQWQ  0  1    0    0
-    PqgbJEzjib  0  1    3    3
-
-    [30 rows x 4 columns]
     """
-    df = DataFrame({k: v.astype(int) for k, v in tm.getSeriesData().items()})
-    df.A = df.A.astype("int32")
-    df.B = np.ones(len(df.B), dtype="uint64")
-    df.C = df.C.astype("uint8")
-    df.D = df.C.astype("int64")
-    return df
+    return DataFrame(
+        {
+            col: np.ones(30, dtype=dtype)
+            for col, dtype in zip(list("ABCD"), ["int32", "uint64", "uint8", "int64"])
+        },
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+    )
 
 
 @pytest.fixture
diff --git a/pandas/tests/frame/indexing/test_xs.py b/pandas/tests/frame/indexing/test_xs.py
index be809e3a17c8e..e09e9f5624f5b 100644
--- a/pandas/tests/frame/indexing/test_xs.py
+++ b/pandas/tests/frame/indexing/test_xs.py
@@ -57,7 +57,7 @@ def test_xs(
         assert xs["B"] == "1"
 
         with pytest.raises(
-            KeyError, match=re.escape("Timestamp('1999-12-31 00:00:00')")
+            KeyError, match=re.escape("Timestamp('2019-12-31 00:00:00')")
         ):
             datetime_frame.xs(datetime_frame.index[0] - BDay())
 
diff --git a/pandas/tests/frame/methods/test_first_and_last.py b/pandas/tests/frame/methods/test_first_and_last.py
index 23355a5549a88..0014ccf054653 100644
--- a/pandas/tests/frame/methods/test_first_and_last.py
+++ b/pandas/tests/frame/methods/test_first_and_last.py
@@ -30,7 +30,7 @@ def test_first_subset(self, frame_or_series):
 
         with tm.assert_produces_warning(FutureWarning, match=deprecated_msg):
             result = ts.first("3ME")
-            expected = ts[:"3/31/2000"]
+            expected = ts[:"3/31/2020"]
             tm.assert_equal(result, expected)
 
         with tm.assert_produces_warning(FutureWarning, match=deprecated_msg):
@@ -78,7 +78,7 @@ def test_last_subset(self, frame_or_series):
 
         with tm.assert_produces_warning(FutureWarning, match=last_deprecated_msg):
             result = ts.last("21D")
-        expected = ts["2000-01-10":]
+        expected = ts["2020-01-10":]
         tm.assert_equal(result, expected)
 
         with tm.assert_produces_warning(FutureWarning, match=last_deprecated_msg):
diff --git a/pandas/tests/frame/methods/test_info.py b/pandas/tests/frame/methods/test_info.py
index 7d9e0fe90f44c..fcb7677f03f27 100644
--- a/pandas/tests/frame/methods/test_info.py
+++ b/pandas/tests/frame/methods/test_info.py
@@ -532,11 +532,11 @@ def test_info_compute_numba():
 
     with option_context("compute.use_numba", True):
         buf = StringIO()
-        df.info()
+        df.info(buf=buf)
         result = buf.getvalue()
 
     buf = StringIO()
-    df.info()
+    df.info(buf=buf)
     expected = buf.getvalue()
     assert result == expected
 
diff --git a/pandas/tests/frame/methods/test_truncate.py b/pandas/tests/frame/methods/test_truncate.py
index 4c4b04076c8d5..f348b8e823eff 100644
--- a/pandas/tests/frame/methods/test_truncate.py
+++ b/pandas/tests/frame/methods/test_truncate.py
@@ -60,7 +60,7 @@ def test_truncate(self, datetime_frame, frame_or_series):
         truncated = ts.truncate(before=ts.index[-1] + ts.index.freq)
         assert len(truncated) == 0
 
-        msg = "Truncate: 2000-01-06 00:00:00 must be after 2000-02-04 00:00:00"
+        msg = "Truncate: 2020-01-06 00:00:00 must be after 2020-02-04 00:00:00"
         with pytest.raises(ValueError, match=msg):
             ts.truncate(
                 before=ts.index[-1] - ts.index.freq, after=ts.index[0] + ts.index.freq
diff --git a/pandas/tests/frame/test_reductions.py b/pandas/tests/frame/test_reductions.py
index 1ca9ec6feecae..b079c331eeebb 100644
--- a/pandas/tests/frame/test_reductions.py
+++ b/pandas/tests/frame/test_reductions.py
@@ -156,36 +156,18 @@ def bool_frame_with_na():
     Fixture for DataFrame of booleans with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D']; some entries are missing
-
-                    A      B      C      D
-    zBZxY2IDGd  False  False  False  False
-    IhBWBMWllt  False   True   True   True
-    ctjdvZSR6R   True  False   True   True
-    AVTujptmxb  False   True  False   True
-    G9lrImrSWq  False  False  False   True
-    sFFwdIUfz2    NaN    NaN    NaN    NaN
-    s15ptEJnRb    NaN    NaN    NaN    NaN
-    ...           ...    ...    ...    ...
-    UW41KkDyZ4   True   True  False  False
-    l9l6XkOdqV   True  False  False  False
-    X2MeZfzDYA  False   True  False  False
-    xWkIKU7vfX  False   True  False   True
-    QOhL6VmpGU  False  False  False   True
-    22PwkRJdat  False   True  False  False
-    kfboQ3VeIK   True  False   True  False
-
-    [30 rows x 4 columns]
     """
-    df = DataFrame(tm.getSeriesData()) > 0
-    df = df.astype(object)
+    df = DataFrame(
+        np.concatenate(
+            [np.ones((15, 4), dtype=bool), np.zeros((15, 4), dtype=bool)], axis=0
+        ),
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+        columns=Index(list("ABCD"), dtype=object),
+        dtype=object,
+    )
     # set some NAs
     df.iloc[5:10] = np.nan
     df.iloc[15:20, -2:] = np.nan
-
-    # For `any` tests we need to have at least one True before the first NaN
-    #  in each column
-    for i in range(4):
-        df.iloc[i, i] = True
     return df
 
 
@@ -195,27 +177,12 @@ def float_frame_with_na():
     Fixture for DataFrame of floats with index of unique strings
 
     Columns are ['A', 'B', 'C', 'D']; some entries are missing
-
-                       A         B         C         D
-    ABwBzA0ljw -1.128865 -0.897161  0.046603  0.274997
-    DJiRzmbyQF  0.728869  0.233502  0.722431 -0.890872
-    neMgPD5UBF  0.486072 -1.027393 -0.031553  1.449522
-    0yWA4n8VeX -1.937191 -1.142531  0.805215 -0.462018
-    3slYUbbqU1  0.153260  1.164691  1.489795 -0.545826
-    soujjZ0A08       NaN       NaN       NaN       NaN
-    7W6NLGsjB9       NaN       NaN       NaN       NaN
-    ...              ...       ...       ...       ...
-    uhfeaNkCR1 -0.231210 -0.340472  0.244717 -0.901590
-    n6p7GYuBIV -0.419052  1.922721 -0.125361 -0.727717
-    ZhzAeY6p1y  1.234374 -1.425359 -0.827038 -0.633189
-    uWdPsORyUh  0.046738 -0.980445 -1.102965  0.605503
-    3DJA6aN590 -0.091018 -1.684734 -1.100900  0.215947
-    2GBPAzdbMk -2.883405 -1.021071  1.209877  1.633083
-    sHadBoyVHw -2.223032 -0.326384  0.258931  0.245517
-
-    [30 rows x 4 columns]
     """
-    df = DataFrame(tm.getSeriesData())
+    df = DataFrame(
+        np.random.default_rng(2).standard_normal((30, 4)),
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+        columns=Index(list("ABCD"), dtype=object),
+    )
     # set some NAs
     df.iloc[5:10] = np.nan
     df.iloc[15:20, -2:] = np.nan
diff --git a/pandas/tests/io/json/test_pandas.py b/pandas/tests/io/json/test_pandas.py
index 5275050391ca3..37bc2812a2095 100644
--- a/pandas/tests/io/json/test_pandas.py
+++ b/pandas/tests/io/json/test_pandas.py
@@ -90,15 +90,14 @@ def assert_json_roundtrip_equal(result, expected, orient):
 class TestPandasContainer:
     @pytest.fixture
     def categorical_frame(self):
-        _seriesd = tm.getSeriesData()
-
-        _cat_frame = DataFrame(_seriesd)
-
-        cat = ["bah"] * 5 + ["bar"] * 5 + ["baz"] * 5 + ["foo"] * (len(_cat_frame) - 15)
-        _cat_frame.index = pd.CategoricalIndex(cat, name="E")
-        _cat_frame["E"] = list(reversed(cat))
-        _cat_frame["sort"] = np.arange(len(_cat_frame), dtype="int64")
-        return _cat_frame
+        data = {
+            c: np.random.default_rng(i).standard_normal(30)
+            for i, c in enumerate(list("ABCD"))
+        }
+        cat = ["bah"] * 5 + ["bar"] * 5 + ["baz"] * 5 + ["foo"] * 15
+        data["E"] = list(reversed(cat))
+        data["sort"] = np.arange(30, dtype="int64")
+        return DataFrame(data, index=pd.CategoricalIndex(cat, name="E"))
 
     @pytest.fixture
     def datetime_series(self):

From 8550304fcb3967ed52f9908349f0afb21b455cea Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 29 Nov 2023 12:25:00 -0800
Subject: [PATCH 5/6] use 2000 instead of 2020

---
 pandas/_testing/__init__.py                       | 2 +-
 pandas/tests/frame/indexing/test_xs.py            | 2 +-
 pandas/tests/frame/methods/test_first_and_last.py | 4 ++--
 pandas/tests/frame/methods/test_truncate.py       | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index 6000c828555c6..ead00cd778d7b 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -350,7 +350,7 @@ def makeTimeSeries(nper=None, freq: Frequency = "B", name=None) -> Series:
         nper = _N
     return Series(
         np.random.default_rng(2).standard_normal(nper),
-        index=date_range("2020-01-01", periods=nper, freq=freq),
+        index=date_range("2000-01-01", periods=nper, freq=freq),
         name=name,
     )
 
diff --git a/pandas/tests/frame/indexing/test_xs.py b/pandas/tests/frame/indexing/test_xs.py
index e09e9f5624f5b..be809e3a17c8e 100644
--- a/pandas/tests/frame/indexing/test_xs.py
+++ b/pandas/tests/frame/indexing/test_xs.py
@@ -57,7 +57,7 @@ def test_xs(
         assert xs["B"] == "1"
 
         with pytest.raises(
-            KeyError, match=re.escape("Timestamp('2019-12-31 00:00:00')")
+            KeyError, match=re.escape("Timestamp('1999-12-31 00:00:00')")
         ):
             datetime_frame.xs(datetime_frame.index[0] - BDay())
 
diff --git a/pandas/tests/frame/methods/test_first_and_last.py b/pandas/tests/frame/methods/test_first_and_last.py
index 0014ccf054653..23355a5549a88 100644
--- a/pandas/tests/frame/methods/test_first_and_last.py
+++ b/pandas/tests/frame/methods/test_first_and_last.py
@@ -30,7 +30,7 @@ def test_first_subset(self, frame_or_series):
 
         with tm.assert_produces_warning(FutureWarning, match=deprecated_msg):
             result = ts.first("3ME")
-            expected = ts[:"3/31/2020"]
+            expected = ts[:"3/31/2000"]
             tm.assert_equal(result, expected)
 
         with tm.assert_produces_warning(FutureWarning, match=deprecated_msg):
@@ -78,7 +78,7 @@ def test_last_subset(self, frame_or_series):
 
         with tm.assert_produces_warning(FutureWarning, match=last_deprecated_msg):
             result = ts.last("21D")
-        expected = ts["2020-01-10":]
+        expected = ts["2000-01-10":]
         tm.assert_equal(result, expected)
 
         with tm.assert_produces_warning(FutureWarning, match=last_deprecated_msg):
diff --git a/pandas/tests/frame/methods/test_truncate.py b/pandas/tests/frame/methods/test_truncate.py
index f348b8e823eff..4c4b04076c8d5 100644
--- a/pandas/tests/frame/methods/test_truncate.py
+++ b/pandas/tests/frame/methods/test_truncate.py
@@ -60,7 +60,7 @@ def test_truncate(self, datetime_frame, frame_or_series):
         truncated = ts.truncate(before=ts.index[-1] + ts.index.freq)
         assert len(truncated) == 0
 
-        msg = "Truncate: 2020-01-06 00:00:00 must be after 2020-02-04 00:00:00"
+        msg = "Truncate: 2000-01-06 00:00:00 must be after 2000-02-04 00:00:00"
         with pytest.raises(ValueError, match=msg):
             ts.truncate(
                 before=ts.index[-1] - ts.index.freq, after=ts.index[0] + ts.index.freq

From 3a194ec3e32e43fac3f2af213714244ed3cc896a Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Wed, 29 Nov 2023 13:21:42 -0800
Subject: [PATCH 6/6] Just use ones DF

---
 pandas/tests/apply/test_numba.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/pandas/tests/apply/test_numba.py b/pandas/tests/apply/test_numba.py
index 85d7baee1bdf5..57b81711ddb48 100644
--- a/pandas/tests/apply/test_numba.py
+++ b/pandas/tests/apply/test_numba.py
@@ -60,9 +60,10 @@ def test_numba_vs_python_indexing():
     "reduction",
     [lambda x: x.mean(), lambda x: x.min(), lambda x: x.max(), lambda x: x.sum()],
 )
-def test_numba_vs_python_reductions(float_frame, reduction, apply_axis):
-    result = float_frame.apply(reduction, engine="numba", axis=apply_axis)
-    expected = float_frame.apply(reduction, engine="python", axis=apply_axis)
+def test_numba_vs_python_reductions(reduction, apply_axis):
+    df = DataFrame(np.ones((4, 4), dtype=np.float64))
+    result = df.apply(reduction, engine="numba", axis=apply_axis)
+    expected = df.apply(reduction, engine="python", axis=apply_axis)
     tm.assert_series_equal(result, expected)