code: def can_convert_to_column(obj):
      """
      This function checks if the given `obj`
      can be used to create a column or not.
  
      Parameters
      ----------
      obj : object of any type which needs to be validated.
  
      Returns
      -------
      Boolean: True or False depending on whether the
      input `obj` is column-compatible or not.
      """
      return is_column_like(obj) or cudf.api.types.is_list_like(obj)
  
imports: import datetime
  from collections import namedtuple
  from decimal import Decimal
  import cupy
  import numpy
  import pandas
  import pyarrow
  from pandas.core.dtypes.common import infer_dtype_from_object
  import cudf
  from cudf._typing import DtypeObj
  from cudf.api.types import is_bool, is_float, is_integer
label_desc: Use image node_id 10 for calling a global function with example usage: can_convert_to_column(obj) and returns: unknown