fix: Series initialiser also takes positional arguments (#1207)

* fix: Series initialiser also takes positional arguments

* fix(comment): #1207 #1207 (comment) #1207 (comment)

* fix: #1207 resume the order of arguments

Author: cmp0xff

pandas-stubs/core/series.pyi

@@ -246,7 +246,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: npt.NDArray[np.float64],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -256,7 +255,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[Never],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -266,7 +264,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[list[str]],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -276,7 +273,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[str],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -293,7 +289,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
             | date
         ),
         index: Axes | None = ...,
-        *,
         dtype: TimestampDtypeArg = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -313,7 +308,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: PeriodIndex | Sequence[Period],
         index: Axes | None = ...,
-        *,
         dtype: PeriodDtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -329,7 +323,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
             | timedelta
         ),
         index: Axes | None = ...,
-        *,
         dtype: TimedeltaDtypeArg = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -344,7 +337,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
             | dict[HashableT1, Interval[_OrderableT]]
         ),
         index: Axes | None = ...,
-        *,
         dtype: Literal["Interval"] = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -364,7 +356,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[bool],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -374,7 +365,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[int],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -384,7 +374,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[float],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -394,7 +383,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: Sequence[int | float],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -404,7 +392,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
         cls,
         data: S1 | _ListLike[S1] | dict[HashableT1, S1] | dict_keys[S1, Any],
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,
@@ -422,7 +409,6 @@ class Series(IndexOpsMixin[S1], NDFrame):
             | None
         ) = ...,
         index: Axes | None = ...,
-        *,
         dtype: Dtype = ...,
         name: Hashable = ...,
         copy: bool = ...,

tests/test_series.py

@@ -136,6 +136,18 @@ def test_types_init() -> None:
     pd.Series(data=groupby)
     pd.Series(data=resampler)
 
+    pd.Series([], pd.DatetimeIndex([]), float, "name")
+    check(
+        assert_type(pd.Series([1.0], pd.DatetimeIndex([1]), float), "pd.Series[float]"),
+        pd.Series,
+        float,
+    )
+    check(
+        assert_type(pd.Series([1.0], pd.Index([1]), float, "f"), "pd.Series[float]"),
+        pd.Series,
+        float,
+    )
+
 
 def test_types_any() -> None:
     check(assert_type(pd.Series([False, False]).any(), np.bool), np.bool)