BUG: Fix ValueError in Series.info(show_counts=False)

[Nithurshen]

• closes BUG: In main, pd.Series(show_counts=False) is broken #62590
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/v3.0.0.rst file if fixing a bug or adding a new feature.

This pull request addresses a ValueError that occurs when calling Series.info(show_counts=False).

The root cause of the bug was in the _SeriesTableBuilderVerbose._gen_rows_without_counts method, which was incorrectly yielding a raw string for the Dtype (e.g., 'int64') instead of a sequence (e.g., ['int64']). A downstream formatting function then attempted to zip() this string, treating it as a sequence of characters, which led to an argument length mismatch and raised the ValueError.

The fix ensures the method yields the Dtype string wrapped in a list, providing the correct data structure and preventing the crash.

[santhoshbethi]

Hi @Nithurshen ,
I am seeing formatting error at

pandas/pandas/tests/frame/test_query_eval.py

Line 162 in 066a4f7

def test_query_duplicate_column_name(self, engine, parser):

)

Currently I am testing my local environment and when I do ruff format --check . I saw you pushed changes and it worked fine. Could you check this once when you have some time. Thanks

[Nithurshen]

Hi @Nithurshen , I am seeing formatting error at

pandas/pandas/tests/frame/test_query_eval.py

Line 162 in 066a4f7

def test_query_duplicate_column_name(self, engine, parser):

)
Currently I am testing my local environment and when I do ruff format --check . I saw you pushed changes and it worked fine. Could you check this once when you have some time. Thanks

Is it due to my commits? Or is it another bug?

[Nithurshen]

Sorry for the confusion. I think it is bug. I am just wondering is it happening only to me or did you face such issue?

First of all, thank you for verifying my commits.

Second, if you feel it is a bug, then please open an issue and I'm more than happy to work on it.

[santhoshbethi]

Sure, Thanks. I worked on it.

[Dr-Irv]

You need to add a test for the case that failed in tests/series/test_info.py

[Nithurshen]

Added a test in pandas/tests/series/methods/test_info.py file.

Test code:

def test_info_show_counts_false():
    # GH#62590
    s = Series([1, 2, None])
    buf = StringIO()
    s.info(buf=buf, show_counts=False)
    result = buf.getvalue()
    assert "Non-Null Count" not in result
    assert "<class 'pandas.Series'>" in result
    assert "Dtype" in result