[SPARK-51430][PYTHON] Stop PySpark context logger from propagating logs to stdout

### What changes were proposed in this pull request?

This PR stops PySpark context logger from propagating logs to stdout.

### Why are the changes needed?

To improve user experience. Currently you can see this logging message in pyspark shell
```
In [1]: from pyspark.sql.functions import col

In [2]: spark.range(10).select(col("id2")).show()
{"ts": "2025-03-06 16:55:36.678", "level": "ERROR", "logger": "DataFrameQueryContextLogger", "msg": "[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column, variable, or function parameter with name `id2` cannot be resolved. Did you mean one of the following? [`id`]. SQLSTATE: 42703", "context": {"file": "<ipython-input-2-bac6211f25a7>", "line": "1", "fragment": "col", "errorClass": "UNRESOLVED_COLUMN.WITH_SUGGESTION"}, "exception": {"class": "Py4JJavaError", "msg": "An error occurred while calling o34.select...
```

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing tests

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

No

Closes #50198 from allisonwang-db/spark-51430-logging.

Authored-by: Allison Wang <allison.wang@databricks.com>
Signed-off-by: Allison Wang <allison.wang@databricks.com>

Author: allisonwang-db

python/pyspark/errors/exceptions/base.py

@@ -159,6 +159,7 @@ def _log_exception(self) -> None:
         if context:
             if context.contextType().name == "DataFrame":
                 logger = PySparkLogger.getLogger("DataFrameQueryContextLogger")
+                logger.propagate = False
                 call_site = context.callSite().split(":")
                 line = call_site[1] if len(call_site) == 2 else ""
                 logger.exception(
@@ -170,6 +171,7 @@ def _log_exception(self) -> None:
                 )
             else:
                 logger = PySparkLogger.getLogger("SQLQueryContextLogger")
+                logger.propagate = False
                 logger.exception(
                     self.getMessage(),
                     errorClass=self.getCondition(),