update signature of Series.pop #627 (#631)

* update signature of Series.pop #627

* change return type of Series.pop to S1

* create series directly in test_pop

* delete pop from generic.pyi

* add one more test for string index int dtype

* replace np.int64 with np.int_ for windows

pandas-stubs/core/generic.pyi

@@ -77,7 +77,6 @@ class NDFrame(PandasObject, indexing.IndexingMixin):
         self, axis1: AxisIndex, axis2: AxisIndex, copy: _bool = ...
     ) -> NDFrame: ...
     def droplevel(self, level: Level, axis: AxisIndex = ...) -> NDFrame: ...
-    def pop(self, item: _str) -> NDFrame: ...
     def squeeze(self, axis=...): ...
     def equals(self, other: Series[S1]) -> _bool: ...
     def __neg__(self: NDFrameT) -> NDFrameT: ...

pandas-stubs/core/series.pyi

@@ -1021,7 +1021,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
     def droplevel(
         self, level: Level | list[Level], axis: AxisIndex = ...
     ) -> DataFrame: ...
-    def pop(self, item: _str) -> Series[S1]: ...
+    def pop(self, item: Hashable) -> S1: ...
     def squeeze(self, axis: AxisIndex | None = ...) -> Scalar: ...
     def __abs__(self) -> Series[S1]: ...
     def add_prefix(self, prefix: _str) -> Series[S1]: ...

tests/test_series.py

@@ -2,6 +2,7 @@
 
 import datetime
 from decimal import Decimal
+from enum import Enum
 from pathlib import Path
 import re
 from typing import (
@@ -226,6 +227,21 @@ def test_types_dropna() -> None:
     assert assert_type(s.dropna(axis=0, inplace=True), None) is None
 
 
+def test_pop() -> None:
+    # Testing pop support for hashable types
+    # Due to the bug in https://github.com/pandas-dev/pandas-stubs/issues/627
+    class MyEnum(Enum):
+        FIRST = "tayyar"
+        SECOND = "haydar"
+
+    s = pd.Series([3.2, 4.3], index=[MyEnum.FIRST, MyEnum.SECOND], dtype=float)
+    res = s.pop(MyEnum.FIRST)
+    check(assert_type(res, float), np.float64)
+
+    s2 = pd.Series([3, 5], index=["alibaba", "zuhuratbaba"], dtype=int)
+    check(assert_type(s2.pop("alibaba"), int), np.int_)
+
+
 def test_types_fillna() -> None:
     s = pd.Series([1, np.nan, np.nan, 3])
     check(assert_type(s.fillna(0), pd.Series), pd.Series)