test the stubs with mypy, pyright

.github/workflows/test.yml

@@ -40,5 +40,5 @@ jobs:
 
       - name: Run mypy
         run:
-          mypy tests/pandas
+          mypy tests/pandas typings/pandas
 

pyrighttestconfig.json

@@ -1,6 +1,6 @@
 {
     "typeCheckingMode": "basic",
-    "include": [ "tests" ],
+    "include": [ "tests", "typings/pandas" ],
     "reportMissingModuleSource": false,
     "reportUnusedVariable": false,
     "useLibraryCodeForTypes": true,

runtests.bat

@@ -1,5 +1,5 @@
 echo on
 pytest tests  > pytest.out
-mypy tests > mypytests.out
+mypy tests typings/pandas > mypytests.out
 pyright -p pyrighttestconfig.json > pandastests.out
 

runtests.sh

@@ -1,5 +1,5 @@
 #!/bin/sh
 pytest tests  > pytest.out
-mypy tests > mypytests.out
+mypy tests typings/pandas > mypytests.out
 pyright -p pyrighttestconfig.json > pandastests.out
 

tests/requirements.txt

@@ -3,3 +3,5 @@ pyright
 pytest
 mypy==0.950
 typing_extensions==4.2.0
+matplotlib>=3.3.2
+numpy>=1.22.3

typings/pandas/_typing.pyi

@@ -45,6 +45,7 @@ PythonScalar = Union[str, int, float, bool, complex]
 DatetimeLikeScalar = TypeVar("DatetimeLikeScalar", Period, Timestamp, Timedelta)
 PandasScalar = Union[bytes, datetime.date, datetime.datetime, datetime.timedelta]
 # Scalar = Union[PythonScalar, PandasScalar]
+IntStrT = TypeVar("IntStrT", int, str)
 
 # dtypes
 NpDtype = Union[

typings/pandas/core/groupby/base.pyi

@@ -0,0 +1,19 @@
+#from pandas.core.dtypes.common import is_list_like as is_list_like, is_scalar as is_scalar
+from typing import NamedTuple
+
+class OutputKey(NamedTuple):
+    label: str
+    position: int
+
+class GroupByMixin: ...
+
+plotting_methods = ...
+common_apply_whitelist = ...
+series_apply_whitelist = ...
+dataframe_apply_whitelist = ...
+cythonized_kernels = ...
+cython_cast_blacklist = ...
+reduction_kernels = ...
+transformation_kernels = ...
+groupby_other_methods = ...
+transform_kernel_whitelist = ...

typings/pandas/core/indexes/frozen.pyi

@@ -3,23 +3,9 @@ from pandas.core.base import PandasObject as PandasObject
 class FrozenList(PandasObject, list):
     def union(self, other) -> FrozenList: ...
     def difference(self, other) -> FrozenList: ...
-    __add__ = ...
-    __iadd__ = ...
     def __getitem__(self, n): ...
     def __radd__(self, other): ...
     def __eq__(self, other) -> bool: ...
-    __req__ = ...
     def __mul__(self, other): ...
-    __imul__ = ...
     def __reduce__(self): ...
     def __hash__(self): ...
-    __setitem__ = ...
-    __setslice__ = ...
-    __delitem__ = ...
-    __delslice__ = ...
-    pop = ...
-    append = ...
-    extend = ...
-    remove = ...
-    sort = ...
-    insert = ...

typings/pandas/core/window/common.pyi

@@ -0,0 +1,17 @@
+from pandas.core.groupby.base import GroupByMixin as GroupByMixin
+from typing import Callable, Optional
+
+class WindowGroupByMixin(GroupByMixin):
+    def __init__(self, obj, *args, **kwargs) -> None: ...
+
+def calculate_center_offset(window): ...
+def calculate_min_periods(
+    window: int,
+    min_periods: Optional[int],
+    num_values: int,
+    required_min_periods: int,
+    floor: int,
+) -> int: ...
+def zsqrt(x): ...
+def prep_binary(arg1, arg2): ...
+def get_weighted_roll_func(cfunc: Callable) -> Callable: ...

typings/pandas/io/excel/_base.pyi

@@ -13,60 +13,6 @@ from typing import (
     overload,
 )
 
-@overload
-def read_excel(
-    filepath: str,
-    sheet_name: Optional[List[str]],
-    header: Optional[Union[int, Sequence[int]]] = ...,
-    names: Optional[Sequence[str]] = ...,
-    index_col: Optional[Union[int, Sequence[int]]] = ...,
-    usecols: Optional[Union[int, str, Sequence[Union[int, str, Callable]]]] = ...,
-    squeeze: bool = ...,
-    dtype: Union[str, Dict[str, Any], Dtype] = ...,
-    engine: Optional[str] = ...,
-    converters: Optional[Dict[Union[int, str], Callable]] = ...,
-    true_values: Optional[Sequence[Scalar]] = ...,
-    false_values: Optional[Sequence[Scalar]] = ...,
-    skiprows: Optional[Union[Sequence[int], int, Callable]] = ...,
-    nrows: Optional[int] = ...,
-    na_values=...,
-    keep_default_na: bool = ...,
-    verbose: bool = ...,
-    parse_dates: Union[bool, Sequence, Dict[str, Sequence]] = ...,
-    date_parser: Optional[Callable] = ...,
-    thousands: Optional[str] = ...,
-    comment: Optional[str] = ...,
-    skipfooter: int = ...,
-    convert_float: bool = ...,
-    mangle_dupe_cols: bool = ...,
-) -> Dict[str, DataFrame]: ...
-@overload
-def read_excel(
-    filepath: str,
-    sheet_name: List[int],
-    header: Optional[Union[int, Sequence[int]]] = ...,
-    names: Optional[Sequence[str]] = ...,
-    index_col: Optional[Union[int, Sequence[int]]] = ...,
-    usecols: Optional[Union[int, str, Sequence[Union[int, str, Callable]]]] = ...,
-    squeeze: bool = ...,
-    dtype: Union[str, Dict[str, Any], Dtype] = ...,
-    engine: Optional[str] = ...,
-    converters: Optional[Dict[Union[int, str], Callable]] = ...,
-    true_values: Optional[Sequence[Scalar]] = ...,
-    false_values: Optional[Sequence[Scalar]] = ...,
-    skiprows: Optional[Union[Sequence[int], int, Callable]] = ...,
-    nrows: Optional[int] = ...,
-    na_values=...,
-    keep_default_na: bool = ...,
-    verbose: bool = ...,
-    parse_dates: Union[bool, Sequence, Dict[str, Sequence]] = ...,
-    date_parser: Optional[Callable] = ...,
-    thousands: Optional[str] = ...,
-    comment: Optional[str] = ...,
-    skipfooter: int = ...,
-    convert_float: bool = ...,
-    mangle_dupe_cols: bool = ...,
-) -> Dict[int, DataFrame]: ...
 @overload
 def read_excel(
     filepath: str,