DataFrame.sort_values overload signature is incomplete with respect to the ascending argument

[miggec]

python 3.6
pandas 1.1.5
pandas-stubs 1.2.0.1

The docs state that a list of bools is accepted for the ascending argument, but the stubs raise an error in that instance.

Minimal example of some (valid) code that fails type checking:

import pandas

df = pandas.DataFrame(
    [[1, 'a'], [2, 'b'], [2, 'c']],
    columns=['num', 'char']
)
print(df)
df = df.sort_values(
    by=['num', 'char'],
    ascending=[True, False],
)
print(df)

Output:

   num char
0    1    a
1    2    b
2    2    c
   num char
0    1    a
2    2    c
1    2    b

mypy error:

error: No overload variant of "sort_values" of "DataFrame" matches argument types "List[str]", "List[bool]", "bool"  [call-overload]
note: Possible overload variant:
note:     def sort_values(self, by: Union[str, List[str]], axis: Union[Literal[0], Literal[1], Union[Literal['index'], Literal['columns']]] = ..., ascending: bool = ..., kind: Union[Literal['quicksort'], Literal['mergesort'], Literal['heapsort']] = ..., na_position: Union[Literal['first'], Literal['last']] = ..., ignore_index: bool = ..., key: Optional[Callable[[Series], Union[Series, Union[Union[ExtensionArray, Any], Index, Series]]]] = ..., *, inplace: Literal[False] = ...) -> DataFrame
note:     <1 more non-matching overload not shown>

A workaround if you came here from a search engine:

import pandas

df = pandas.DataFrame(
    [[1, 'a'], [2, 'b'], [2, 'c']],
    columns=['num', 'char']
)
print(df)
ascending: Any = [True, False]
df = df.sort_values(
    by=['num', 'char'],
    ascending=ascending,
)
print(df)

[joannasendorek]

Hi! Thank you for reporting an issue. Please see #64 for a fix. It should be merged soon.