[SPARK-51532][INFRA] Restore the installation of Python 3.11 in macOS daily test

[LuciferYang]

What changes were proposed in this pull request?

This pr enables macOS to use actions/setup-python to install Python 3.11, so that the relevant modules can be tested using Python 3.11.

Why are the changes needed?

Although the macOS daily test uses macOS-15, which comes with Python 3.9 to Python 3.13 installed by default, the python3 command points to Python 3.13 by default instead of Python 3.11, which is required for the tests. This leads to some unexpected behaviors during testing. For example, I encountered the following logs while testing:

• https://github.com/apache/spark/actions/runs/13876211339/job/38828852614

- udaf/udaf-group-analytics.sql - Grouped Aggregate Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udaf/udaf-group-by-ordinal.sql - Grouped Aggregate Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udaf/udaf-group-by.sql - Grouped Aggregate Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udaf/udaf-grouping-set.sql - Grouped Aggregate Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udaf/udaf.sql - Grouped Aggregate Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part1.sql - Regular Python UDF
- udf/postgreSQL/udf-aggregates_part1.sql - Regular Python UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part1.sql - Scala UDF
- udf/postgreSQL/udf-aggregates_part1.sql - Scala UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part1.sql - Scalar Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part1.sql - Scalar Pandas UDF_analyzer_test is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part2.sql - Regular Python UDF
- udf/postgreSQL/udf-aggregates_part2.sql - Regular Python UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part2.sql - Scala UDF
- udf/postgreSQL/udf-aggregates_part2.sql - Scala UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part2.sql - Scalar Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part2.sql - Scalar Pandas UDF_analyzer_test is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part3.sql - Regular Python UDF
- udf/postgreSQL/udf-aggregates_part3.sql - Regular Python UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part3.sql - Scala UDF
- udf/postgreSQL/udf-aggregates_part3.sql - Scala UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part3.sql - Scalar Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part3.sql - Scalar Pandas UDF_analyzer_test is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part4.sql - Regular Python UDF
- udf/postgreSQL/udf-aggregates_part4.sql - Regular Python UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part4.sql - Scala UDF
- udf/postgreSQL/udf-aggregates_part4.sql - Scala UDF_analyzer_test
- udf/postgreSQL/udf-aggregates_part4.sql - Scalar Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!
- udf/postgreSQL/udf-aggregates_part4.sql - Scalar Pandas UDF_analyzer_test is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!

This is because the relevant modules were installed using Python 3.11, but the python3 is actually Python 3.13. Therefore, this pull request restores the installation process for Python 3.11 on macOS, so that the tests also use Python 3.11.

Does this PR introduce any user-facing change?

No, just for test

How was this patch tested?

• Pass GitHGub Actions
• check maven test on GitHub Actions: https://github.com/LuciferYang/spark/actions/runs/13892314705/attempts/1, confirm that the tests meet expectations and there are no longer ignore behaviors similar to Scalar Pandas UDF is skipped because pyspark,pandas and/or pyarrow were not available in [python3]. !!! IGNORED !!!

Was this patch authored or co-authored using generative AI tooling?

No

[LuciferYang]

cc @HyukjinKwon @dongjoon-hyun

[dongjoon-hyun]

+1, LGTM. Thank you, @LuciferYang .

[dongjoon-hyun]

Merged to master.

[LuciferYang]

Thank you @dongjoon-hyun