Wrong type hint for Series.all() and Series.any()

[Igorsmit00]

The Series.all() and Series.any() have the type bool for the output. However, the real output type is np.bool. This causes issues when trying to compile a function using mypyc.

To Reproduce
Compile the following code

def test_function(df: pd.Dataframe):
# some code
is_all_nan = df["column_name"].isna().all()
# some more code

Typechecker mypy/mypyc
TypeError: bool object expected; got numpy.bool_

• OS: Windows
• OS Version: 11
• python version 3.11.6=7
• mypy version 1.8.0
• pandas-stubs version 2.2.3.250308

[Dr-Irv]

Can you indicate the version of pandas and the version of numpy that you are using?

Also, a more complete example that fails with the type checker would be helpful.

[loicdiridollou]

I looked into it by curiosity and here is a more comprehensive test.
@Igorsmit00 is correct that the type is not exact as pandas most likely uses a numpy function under the hood so the returns should be np.bool and not bool.

>>> import pandas as pd
>>> df = pd.DataFrame([[1, 2], [3, 4]])
>>> df
   0  1
0  1  2
1  3  4
>>> df[o]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'o' is not defined
>>> df[0]
0    1
1    3
Name: 0, dtype: int64
>>> df[0].isna()
0    False
1    False
Name: 0, dtype: bool
>>> df[0].isna().any()
np.False_
>>> df[0].isna().all()
np.False_
>>> (~df[0].isna())
0    True
1    True
Name: 0, dtype: bool
>>> (~df[0].isna()).all()
np.True_
>>> pd.__version__
'2.2.3'