code: def _to_java_column(col: "ColumnOrName") -> JavaObject:
      if isinstance(col, Column):
          jcol = col._jc
      elif isinstance(col, str):
          jcol = _create_column_from_name(col)
      else:
          raise PySparkTypeError(
              error_class="NOT_COLUMN_OR_STR",
              message_parameters={
                  "arg_name": "col",
                  "arg_type": type(col).__name__,
              },
          )
      return jcol
  
imports: import sys
  import json
  import warnings
  from typing import cast, overload, Any, Callable, Iterable, List, Optional, Tuple, TYPE_CHECKING, Union
  from py4j.java_gateway import JavaObject, JVMView
  from pyspark import copy_func
  from pyspark.context import SparkContext
  from pyspark.errors import PySparkAttributeError, PySparkTypeError, PySparkValueError
  from pyspark.sql.types import DataType
  from pyspark.sql.utils import get_active_spark_context
label_desc: Use image node_id 3 for calling a global function with example usage: _to_java_column(col) and returns: jcol