CLN: refactor test_series

tests/frame/test_frame.py

@@ -72,7 +72,6 @@
 
 if TYPE_CHECKING:
     from pandas.core.frame import _PandasNamedTuple
-
 else:
     _PandasNamedTuple: TypeAlias = tuple
 

tests/series/test_indexing.py

@@ -0,0 +1,257 @@
+from __future__ import annotations
+
+from typing import Any
+
+import numpy as np
+import pandas as pd
+from typing_extensions import assert_type
+
+from tests import (
+    PD_LTE_23,
+    check,
+    pytest_warns_bounded,
+)
+
+
+def test_types_select() -> None:
+    s = pd.Series(data={"row1": 1, "row2": 2})
+    if PD_LTE_23:
+        # Not valid in 3.0
+        with pytest_warns_bounded(
+            FutureWarning,
+            "Series.__getitem__ treating keys as positions is deprecated",
+            lower="2.0.99",
+        ):
+            s[0]
+    check(assert_type(s[1:], "pd.Series[int]"), pd.Series, np.integer)
+
+
+def test_types_iloc_iat() -> None:
+    s = pd.Series(data={"row1": 1, "row2": 2})
+    s2 = pd.Series(data=[1, 2])
+    s.loc["row1"]
+    s.iat[0]
+    s2.loc[0]
+    s2.iat[0]
+
+
+def test_types_loc_at() -> None:
+    s = pd.Series(data={"row1": 1, "row2": 2})
+    s2 = pd.Series(data=[1, 2])
+    s.loc["row1"]
+    s.at["row1"]
+    s2.loc[1]
+    s2.at[1]
+
+
+def test_types_getitem() -> None:
+    s = pd.Series({"key": [0, 1, 2, 3]})
+    check(assert_type(s["key"], Any), list)
+    s2 = pd.Series([0, 1, 2, 3])
+    check(assert_type(s2[0], int), np.integer)
+    check(assert_type(s[:2], pd.Series), pd.Series)
+
+
+def test_types_getitem_by_timestamp() -> None:
+    index = pd.date_range("2018-01-01", periods=2, freq="D")
+    series = pd.Series(range(2), index=index)
+    check(assert_type(series[index[-1]], int), np.integer)
+
+
+def test_multiindex_loc() -> None:
+    s = pd.Series(
+        [1, 2, 3, 4], index=pd.MultiIndex.from_product([[1, 2], ["a", "b"]]), dtype=int
+    )
+    check(assert_type(s.loc[1, :], "pd.Series[int]"), pd.Series, np.int_)
+    check(assert_type(s.loc[pd.Index([1]), :], "pd.Series[int]"), pd.Series, np.int_)
+    check(assert_type(s.loc[1, "a"], int), np.int_)
+
+
+def test_multiindex_loc_str_tuple() -> None:
+    s = pd.Series(
+        [1, 2, 3, 4, 5, 6],
+        index=pd.MultiIndex.from_product([["A", "B"], ["c", "d", "e"]]),
+        dtype=int,
+    )
+    check(assert_type(s.loc[("A", "c")], int), np.int_)
+    check(
+        assert_type(s.loc[[("A", "c"), ("B", "d")]], "pd.Series[int]"),
+        pd.Series,
+        np.int_,
+    )
+
+
+def test_types_boolean_indexing() -> None:
+    s = pd.Series([0, 1, 2])
+    s[s > 1]
+    s[s]
+
+
+def test_series_loc_setitem() -> None:
+    s = pd.Series([1, 2, 3, 4, 5])
+    v = s.loc[[0, 2, 4]].values
+    s.loc[[0, 2, 4]] = v
+
+
+def test_series_isin() -> None:
+    s = pd.Series([1, 2, 3, 4, 5])
+    check(assert_type(s.isin([3, 4]), "pd.Series[bool]"), pd.Series, np.bool_)
+    check(assert_type(s.isin({3, 4}), "pd.Series[bool]"), pd.Series, np.bool_)
+    check(
+        assert_type(s.isin(pd.Series([3, 4])), "pd.Series[bool]"), pd.Series, np.bool_
+    )
+    check(assert_type(s.isin(pd.Index([3, 4])), "pd.Series[bool]"), pd.Series, np.bool_)
+    check(assert_type(s.isin(iter([3, "4"])), "pd.Series[bool]"), pd.Series, np.bool_)
+
+
+def test_series_index_isin() -> None:
+    s = pd.Series([1, 2, 3, 4, 5], index=[1, 2, 2, 3, 3])
+    t1 = s.loc[s.index.isin([1, 3])]
+    t2 = s.loc[~s.index.isin([1, 3])]
+    t3 = s[s.index.isin([1, 3])]
+    t4 = s[~s.index.isin([1, 3])]
+    check(assert_type(t1, "pd.Series[int]"), pd.Series, np.integer)
+    check(assert_type(t2, "pd.Series[int]"), pd.Series, np.integer)
+    check(assert_type(t3, "pd.Series[int]"), pd.Series, np.integer)
+    check(assert_type(t4, "pd.Series[int]"), pd.Series, np.integer)
+
+
+def test_series_invert() -> None:
+    s1 = pd.Series([True, False, True])
+    s2 = ~s1
+    check(assert_type(s2, "pd.Series[bool]"), pd.Series, np.bool_)
+    s3 = pd.Series([1, 2, 3])
+    check(assert_type(s3[s2], "pd.Series[int]"), pd.Series, np.integer)
+    check(assert_type(s3.loc[s2], "pd.Series[int]"), pd.Series, np.integer)
+
+
+def test_series_multiindex_getitem() -> None:
+    s = pd.Series(
+        [1, 2, 3, 4], index=pd.MultiIndex.from_product([["a", "b"], ["x", "y"]])
+    )
+    _s1: pd.Series = s["a", :]
+
+
+def test_iloc_getitem_ndarray() -> None:
+    # GH 85
+    # GH 86
+    indices_i8 = np.array([0, 1, 2, 3], dtype=np.int8)
+    indices_i16 = np.array([0, 1, 2, 3], dtype=np.int16)
+    indices_i32 = np.array([0, 1, 2, 3], dtype=np.int_)
+    indices_i64 = np.array([0, 1, 2, 3], dtype=np.int64)
+
+    indices_u8 = np.array([0, 1, 2, 3], dtype=np.uint8)
+    indices_u16 = np.array([0, 1, 2, 3], dtype=np.uint16)
+    indices_u32 = np.array([0, 1, 2, 3], dtype=np.uint32)
+    indices_u64 = np.array([0, 1, 2, 3], dtype=np.uint64)
+
+    values_s = pd.Series(np.arange(10), name="a")
+
+    check(assert_type(values_s.iloc[indices_i8], pd.Series), pd.Series)
+    check(assert_type(values_s.iloc[indices_i16], pd.Series), pd.Series)
+    check(assert_type(values_s.iloc[indices_i32], pd.Series), pd.Series)
+    check(assert_type(values_s.iloc[indices_i64], pd.Series), pd.Series)
+
+    check(assert_type(values_s.iloc[indices_u8], pd.Series), pd.Series)
+    check(assert_type(values_s.iloc[indices_u16], pd.Series), pd.Series)
+    check(assert_type(values_s.iloc[indices_u32], pd.Series), pd.Series)
+    check(assert_type(values_s.iloc[indices_u64], pd.Series), pd.Series)
+
+
+def test_iloc_setitem_ndarray() -> None:
+    # GH 85
+    # GH 86
+    indices_i8 = np.array([0, 1, 2, 3], dtype=np.int8)
+    indices_i16 = np.array([0, 1, 2, 3], dtype=np.int16)
+    indices_i32 = np.array([0, 1, 2, 3], dtype=np.int_)
+    indices_i64 = np.array([0, 1, 2, 3], dtype=np.int64)
+
+    indices_u8 = np.array([0, 1, 2, 3], dtype=np.uint8)
+    indices_u16 = np.array([0, 1, 2, 3], dtype=np.uint16)
+    indices_u32 = np.array([0, 1, 2, 3], dtype=np.uint32)
+    indices_u64 = np.array([0, 1, 2, 3], dtype=np.uint64)
+
+    values_s = pd.Series(np.arange(10), name="a")
+
+    values_s.iloc[indices_i8] = -1
+    values_s.iloc[indices_i16] = -1
+    values_s.iloc[indices_i32] = -1
+    values_s.iloc[indices_i64] = -1
+
+    values_s.iloc[indices_u8] = -1
+    values_s.iloc[indices_u16] = -1
+    values_s.iloc[indices_u32] = -1
+    values_s.iloc[indices_u64] = -1
+
+
+def test_loc_callable() -> None:
+    # GH 586
+    s = pd.Series([1, 2])
+    check(assert_type(s.loc[lambda x: x > 1], "pd.Series[int]"), pd.Series, np.integer)
+
+
+def test_series_setitem_multiindex() -> None:
+    # GH 767
+    df = (
+        pd.DataFrame({"x": [1, 2, 3, 4]})
+        .assign(y=lambda df: df["x"] * 10, z=lambda df: df["x"] * 100)
+        .set_index(["x", "y"])
+    )
+    ind = pd.Index([2, 3])
+    s = df["z"]
+
+    s.loc[pd.IndexSlice[ind, :]] = 30
+
+
+def test_series_setitem_na() -> None:
+    # GH 743
+    df = pd.DataFrame(
+        {"x": [1, 2, 3], "y": pd.date_range("3/1/2023", "3/3/2023")},
+        index=pd.Index(["a", "b", "c"]),
+    ).convert_dtypes()
+
+    ind = pd.Index(["a", "c"])
+    s = df["x"].copy()
+
+    s.loc[ind] = pd.NA
+    s.iloc[[0, 2]] = pd.NA
+
+    s2 = df["y"].copy()
+    s2.loc[ind] = pd.NaT
+    s2.iloc[[0, 2]] = pd.NaT
+
+
+def test_slice_timestamp() -> None:
+    dti = pd.date_range("1/1/2025", "2/28/2025")
+
+    s = pd.Series(list(range(len(dti))), index=dti)
+
+    # For `s1`, see discussion in GH 397.  Needs mypy fix.
+    # s1 = s.loc["2025-01-15":"2025-01-20"]
+
+    # GH 397
+    check(
+        assert_type(
+            s.loc[pd.Timestamp("2025-01-15") : pd.Timestamp("2025-01-20")],
+            "pd.Series[int]",
+        ),
+        pd.Series,
+        np.integer,
+    )
+
+
+def test_series_single_slice() -> None:
+    # GH 572
+    s = pd.Series([1, 2, 3])
+    check(assert_type(s.loc[:], "pd.Series[int]"), pd.Series, np.integer)
+
+    s.loc[:] = 1 + s
+
+
+def test_series_index_timestamp() -> None:
+    # GH 620
+    dt1 = pd.to_datetime("2023-05-01")
+    dt2 = pd.to_datetime("2023-05-02")
+    s = pd.Series([1, 2], index=[dt1, dt2])
+    check(assert_type(s[dt1], int), np.integer)
+    check(assert_type(s.loc[[dt1]], "pd.Series[int]"), pd.Series, np.integer)