Remove makeIntIndex/makeNumericIndex

pandas/_testing/__init__.py

@@ -28,10 +28,7 @@
 
 from pandas.core.dtypes.common import (
     is_sequence,
-    is_signed_integer_dtype,
     is_string_dtype,
-    is_unsigned_integer_dtype,
-    pandas_dtype,
 )
 
 import pandas as pd
@@ -351,31 +348,6 @@ def getCols(k) -> str:
     return string.ascii_uppercase[:k]
 
 
-def makeNumericIndex(k: int = 10, *, name=None, dtype: Dtype | None) -> Index:
-    dtype = pandas_dtype(dtype)
-    assert isinstance(dtype, np.dtype)
-
-    if dtype.kind in "iu":
-        values = np.arange(k, dtype=dtype)
-        if is_unsigned_integer_dtype(dtype):
-            values += 2 ** (dtype.itemsize * 8 - 1)
-    elif dtype.kind == "f":
-        values = np.random.default_rng(2).random(k) - np.random.default_rng(2).random(1)
-        values.sort()
-        values = values * (10 ** np.random.default_rng(2).integers(0, 9))
-    else:
-        raise NotImplementedError(f"wrong dtype {dtype}")
-
-    return Index(values, dtype=dtype, name=name)
-
-
-def makeIntIndex(k: int = 10, *, name=None, dtype: Dtype = "int64") -> Index:
-    dtype = pandas_dtype(dtype)
-    if not is_signed_integer_dtype(dtype):
-        raise TypeError(f"Wrong dtype {dtype}")
-    return makeNumericIndex(k, name=name, dtype=dtype)
-
-
 def makeDateIndex(
     k: int = 10, freq: Frequency = "B", name=None, **kwargs
 ) -> DatetimeIndex:
@@ -962,8 +934,6 @@ def shares_memory(left, right) -> bool:
     "makeCustomIndex",
     "makeDataFrame",
     "makeDateIndex",
-    "makeIntIndex",
-    "makeNumericIndex",
     "makeObjectSeries",
     "makeTimeDataFrame",
     "makeTimeSeries",

pandas/conftest.py

@@ -620,10 +620,10 @@ def _create_mi_with_dt64tz_level():
     "period": period_range("2020-01-01", periods=100, freq="D"),
     "timedelta": timedelta_range(start="1 day", periods=100, freq="D"),
     "range": RangeIndex(100),
-    "int8": tm.makeIntIndex(100, dtype="int8"),
-    "int16": tm.makeIntIndex(100, dtype="int16"),
-    "int32": tm.makeIntIndex(100, dtype="int32"),
-    "int64": tm.makeIntIndex(100, dtype="int64"),
+    "int8": Index(np.arange(100), dtype="int8"),
+    "int16": Index(np.arange(100), dtype="int16"),
+    "int32": Index(np.arange(100), dtype="int32"),
+    "int64": Index(np.arange(100), dtype="int64"),
     "uint8": Index(np.arange(100), dtype="uint8"),
     "uint16": Index(np.arange(100), dtype="uint16"),
     "uint32": Index(np.arange(100), dtype="uint32"),
@@ -632,8 +632,12 @@ def _create_mi_with_dt64tz_level():
     "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),
-    "complex64": tm.makeNumericIndex(100, dtype="float64").astype("complex64"),
-    "complex128": tm.makeNumericIndex(100, dtype="float64").astype("complex128"),
+    "complex64": Index(
+        np.arange(100, dtype="complex64") + 1.0j * np.arange(100, dtype="complex64")
+    ),
+    "complex128": Index(
+        np.arange(100, dtype="complex128") + 1.0j * np.arange(100, dtype="complex128")
+    ),
     "categorical": CategoricalIndex(list("abcd") * 25),
     "interval": IntervalIndex.from_breaks(np.linspace(0, 100, num=101)),
     "empty": Index([]),

pandas/tests/indexes/test_base.py

@@ -507,8 +507,8 @@ def test_map_with_tuples(self):
 
         # Test that returning a single tuple from an Index
         #   returns an Index.
-        index = tm.makeIntIndex(3)
-        result = tm.makeIntIndex(3).map(lambda x: (x,))
+        index = Index(np.arange(3), dtype=np.int64)
+        result = index.map(lambda x: (x,))
         expected = Index([(i,) for i in index])
         tm.assert_index_equal(result, expected)
 
@@ -555,7 +555,7 @@ def test_map_tseries_indices_accsr_return_index(self):
     def test_map_dictlike_simple(self, mapper):
         # GH 12756
         expected = Index(["foo", "bar", "baz"])
-        index = tm.makeIntIndex(3)
+        index = Index(np.arange(3), dtype=np.int64)
         result = index.map(mapper(expected.values, index))
         tm.assert_index_equal(result, expected)
 

pandas/tests/series/indexing/test_setitem.py

@@ -237,7 +237,9 @@ def test_setitem_slice_integers(self):
 
     def test_setitem_slicestep(self):
         # caught this bug when writing tests
-        series = Series(tm.makeIntIndex(20).astype(float), index=tm.makeIntIndex(20))
+        series = Series(
+            np.arange(20, dtype=np.float64), index=np.arange(20, dtype=np.int64)
+        )
 
         series[::2] = 0
         assert (series[::2] == 0).all()

pandas/tests/series/methods/test_combine_first.py

@@ -32,8 +32,8 @@ def test_combine_first_name(self, datetime_series):
         assert result.name == datetime_series.name
 
     def test_combine_first(self):
-        values = tm.makeIntIndex(20).values.astype(float)
-        series = Series(values, index=tm.makeIntIndex(20))
+        values = np.arange(20, dtype=np.float64)
+        series = Series(values, index=np.arange(20, dtype=np.int64))
 
         series_copy = series * 2
         series_copy[::2] = np.nan