Remove makePeriodSeries

pandas/_testing/__init__.py

@@ -519,24 +519,10 @@ def makeTimeSeries(nper=None, freq: Frequency = "B", name=None) -> Series:
     )
 
 
-def makePeriodSeries(nper=None, name=None) -> Series:
-    if nper is None:
-        nper = _N
-    return Series(
-        np.random.default_rng(2).standard_normal(nper),
-        index=makePeriodIndex(nper),
-        name=name,
-    )
-
-
 def getTimeSeriesData(nper=None, freq: Frequency = "B") -> dict[str, Series]:
     return {c: makeTimeSeries(nper, freq) for c in getCols(_K)}
 
 
-def getPeriodData(nper=None) -> dict[str, Series]:
-    return {c: makePeriodSeries(nper) for c in getCols(_K)}
-
-
 # make frame
 def makeTimeDataFrame(nper=None, freq: Frequency = "B") -> DataFrame:
     data = getTimeSeriesData(nper, freq)
@@ -565,11 +551,6 @@ def makeMixedDataFrame() -> DataFrame:
     return DataFrame(getMixedTypeDict()[1])
 
 
-def makePeriodFrame(nper=None) -> DataFrame:
-    data = getPeriodData(nper)
-    return DataFrame(data)
-
-
 def makeCustomIndex(
     nentries,
     nlevels,
@@ -1102,7 +1083,6 @@ def shares_memory(left, right) -> bool:
     "get_finest_unit",
     "get_obj",
     "get_op_from_name",
-    "getPeriodData",
     "getSeriesData",
     "getTimeSeriesData",
     "iat",
@@ -1122,9 +1102,7 @@ def shares_memory(left, right) -> bool:
     "makeMultiIndex",
     "makeNumericIndex",
     "makeObjectSeries",
-    "makePeriodFrame",
     "makePeriodIndex",
-    "makePeriodSeries",
     "make_rand_series",
     "makeRangeIndex",
     "makeStringIndex",

pandas/tests/dtypes/test_missing.py

@@ -40,6 +40,7 @@
     Series,
     TimedeltaIndex,
     date_range,
+    period_range,
 )
 import pandas._testing as tm
 
@@ -81,7 +82,7 @@ def test_notna_notnull(notna_f):
         tm.makeStringSeries(),
         tm.makeObjectSeries(),
         tm.makeTimeSeries(),
-        tm.makePeriodSeries(),
+        Series(range(5), period_range("2020-01-01", periods=5)),
     ],
 )
 def test_null_check_is_series(null_func, ser):
@@ -124,15 +125,25 @@ def test_isna_isnull(self, isna_f):
 
     @pytest.mark.parametrize("isna_f", [isna, isnull])
     @pytest.mark.parametrize(
-        "df",
+        "data",
         [
-            tm.makeTimeDataFrame(),
-            tm.makePeriodFrame(),
-            tm.makeMixedDataFrame(),
+            np.arange(4, dtype=float),
+            [0.0, 1.0, 0.0, 1.0],
+            list("abcd"),
+            date_range("2020-01-01", periods=4),
         ],
     )
-    def test_isna_isnull_frame(self, isna_f, df):
+    @pytest.mark.parametrize(
+        "index",
+        [
+            date_range("2020-01-01", periods=4),
+            range(4),
+            period_range("2020-01-01", periods=4),
+        ],
+    )
+    def test_isna_isnull_frame(self, isna_f, data, index):
         # frame
+        df = pd.DataFrame(data, index=index)
         result = isna_f(df)
         expected = df.apply(isna_f)
         tm.assert_frame_equal(result, expected)

pandas/tests/frame/methods/test_shift.py

@@ -241,7 +241,9 @@ def test_shift_by_offset(self, datetime_frame, frame_or_series):
 
     def test_shift_with_periodindex(self, frame_or_series):
         # Shifting with PeriodIndex
-        ps = tm.makePeriodFrame()
+        ps = DataFrame(
+            np.arange(4, dtype=float), index=pd.period_range("2020-01-01", periods=4)
+        )
         ps = tm.get_obj(ps, frame_or_series)
 
         shifted = ps.shift(1)
@@ -492,7 +494,7 @@ def test_shift_axis1_multiple_blocks_with_int_fill(self):
         tm.assert_frame_equal(result, expected)
 
     def test_period_index_frame_shift_with_freq(self, frame_or_series):
-        ps = tm.makePeriodFrame()
+        ps = DataFrame(range(4), index=pd.period_range("2020-01-01", periods=4))
         ps = tm.get_obj(ps, frame_or_series)
 
         shifted = ps.shift(1, freq="infer")
@@ -529,7 +531,7 @@ def test_datetime_frame_shift_with_freq(self, datetime_frame, frame_or_series):
         tm.assert_equal(unshifted, inferred_ts)
 
     def test_period_index_frame_shift_with_freq_error(self, frame_or_series):
-        ps = tm.makePeriodFrame()
+        ps = DataFrame(range(4), index=pd.period_range("2020-01-01", periods=4))
         ps = tm.get_obj(ps, frame_or_series)
         msg = "Given freq M does not match PeriodIndex freq D"
         with pytest.raises(ValueError, match=msg):

pandas/tests/plotting/test_datetimelike.py

@@ -347,7 +347,7 @@ def test_irregular_datetime64_repr_bug(self):
             assert rs == xp
 
     def test_business_freq(self):
-        bts = tm.makePeriodSeries()
+        bts = Series(range(5), period_range("2020-01-01", periods=5))
         msg = r"PeriodDtype\[B\] is deprecated"
         dt = bts.index[0].to_timestamp()
         with tm.assert_produces_warning(FutureWarning, match=msg):

pandas/tests/plotting/test_series.py

@@ -14,6 +14,7 @@
     DataFrame,
     Series,
     date_range,
+    period_range,
     plotting,
 )
 import pandas._testing as tm
@@ -45,11 +46,6 @@ def series():
     return tm.makeStringSeries(name="series")
 
 
-@pytest.fixture
-def iseries():
-    return tm.makePeriodSeries(name="iseries")
-
-
 class TestSeriesPlots:
     @pytest.mark.slow
     @pytest.mark.parametrize("kwargs", [{"label": "foo"}, {"use_index": False}])
@@ -82,8 +78,9 @@ def test_plot_ts_bar(self, ts):
     def test_plot_ts_area_stacked(self, ts):
         _check_plot_works(ts.plot.area, stacked=False)
 
-    def test_plot_iseries(self, iseries):
-        _check_plot_works(iseries.plot)
+    def test_plot_iseries(self):
+        ser = Series(range(5), period_range("2020-01-01", periods=5))
+        _check_plot_works(ser.plot)
 
     @pytest.mark.parametrize(
         "kind",