Fixed TYP of values argument of the pandas.DataFrame.pivot_table

[Aftabby]

This pull request addresses issue #885 by modifying the pivot_table stub definition in frame.pyi to allow lists of strings as the values argument. Previously, the stub definition only supported single strings or None for values.

Changes Introduced:
Updated the values argument type in the pivot_table stub definition to include _Sequence[str]. This allows lists of strings to be used for values.

Test Case:
No test case added as there was already an existing test case in the file test_frame.py on line 922 :
check(

assert_type(
df.pivot(index="col1", columns="col3", values=["col2", "col4"]),
pd.DataFrame,
),
pd.DataFrame,
)

Which already test the addressed issue and updated fix.

[ ] Closes #885

[Dr-Irv]

You need to add a test for pivot_table() that resembles the code in the original issue.

[Aftabby]

Hello @Dr-Irv , I have included the test case. Can you please have a look and check if it is alright.

[Dr-Irv]

Your test is invalid for pandas. Use this:

Suggested change

	df.pivot_table(index="col2", columns="col4", values=["col1", "col3"]), pd.DataFrame,
	df.pivot_table(index="col1", columns="col3", values=["col2", "col4"]), pd.DataFrame,

[Aftabby]

Changed per your suggestion. Thanks!

[Dr-Irv]

Now you are failing because you didn't install the pre-commit hooks. Please follow the instructions here: https://github.com/pandas-dev/pandas-stubs/blob/main/docs/setup.md to set up your environment.

If you then just add one space character to tests/test_frame.py, and commit, then black will reformat the code and fix the issue.

Or you can try editing by hand if you look at what black did at https://github.com/pandas-dev/pandas-stubs/actions/runs/8366596481/job/22907251773?pr=893

But that's rather risky - you're better off setting up the environment and let the tools do the work for you.

[Aftabby]

Hopefully, no more formatting issue now.

[Dr-Irv]

thanks @Aftabby