[SPARK-48752][FOLLOWUP][PYTHON][DOCS] Use explicit name for line numb…

…er in log

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

This PR followups for apache#47145 to rename the log field naming

### Why are the changes needed?

`line_no` is not very intuitive so we better renaming to `line_number` explicitly.

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

No API change, but user-facing log message will be improved

### How was this patch tested?
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The existing CI should pass

### Was this patch authored or co-authored using generative AI tooling?
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No

Closes apache#47437 from itholic/logger_followup.

Authored-by: Haejoon Lee <haejoon.lee@databricks.com>
Signed-off-by: Haejoon Lee <haejoon.lee@databricks.com>

python/docs/source/development/logger.rst

@@ -50,7 +50,7 @@ Example log entry:
       "msg": "[DIVIDE_BY_ZERO] Division by zero. Use `try_divide` to tolerate divisor being 0 and return NULL instead. If necessary set \"spark.sql.ansi.enabled\" to \"false\" to bypass this error. SQLSTATE: 22012\n== DataFrame ==\n\"divide\" was called from\n/.../spark/python/test_error_context.py:17\n",
       "context": {
         "file": "/path/to/file.py",
-        "line_no": "17",
+        "line": "17",
         "fragment": "divide"
         "error_class": "DIVIDE_BY_ZERO"
       },

python/pyspark/errors/exceptions/base.py

@@ -137,11 +137,11 @@ def _log_exception(self) -> None:
             if query_context.contextType().name == "DataFrame":
                 logger = PySparkLogger.getLogger("DataFrameQueryContextLogger")
                 call_site = query_context.callSite().split(":")
-                line_no = call_site[1] if len(call_site) == 2 else ""
+                line = call_site[1] if len(call_site) == 2 else ""
                 logger.exception(
                     self.getMessage(),
                     file=call_site[0],
-                    line_no=line_no,
+                    line=line,
                     fragment=query_context.fragment(),
                     error_class=self.getErrorClass(),
                 )