code: def _column_name_to_strings(name):
      """Convert a column name (or level) to either a string or a recursive
      collection of strings.
  
      Parameters
      ----------
      name : str or tuple
  
      Returns
      -------
      value : str or tuple
  
      Examples
      --------
      >>> name = 'foo'
      >>> _column_name_to_strings(name)
      'foo'
      >>> name = ('foo', 'bar')
      >>> _column_name_to_strings(name)
      "('foo', 'bar')"
      >>> import pandas as pd
      >>> name = (1, pd.Timestamp('2017-02-01 00:00:00'))
      >>> _column_name_to_strings(name)
      "('1', '2017-02-01 00:00:00')"
      """
      if isinstance(name, str):
          return name
      elif isinstance(name, bytes):
          # XXX: should we assume that bytes in Python 3 are UTF-8?
          return name.decode("utf8")
      elif isinstance(name, tuple):
          return str(tuple(map(_column_name_to_strings, name)))
      elif isinstance(name, Sequence):
          raise TypeError("Unsupported type for MultiIndex level")
      elif name is None:
          return None
      return str(name)
  
imports: import ast
  from collections.abc import Sequence
  from concurrent import futures
  import concurrent.futures.thread
  from copy import deepcopy
  from itertools import zip_longest
  import json
  import operator
  import re
  import warnings
  import numpy
  import pyarrow
  from pyarrow.lib import _pandas_api, frombytes
label_desc: Use image node_id 8 for calling a global function with example usage: _column_name_to_strings(name) and returns: str, name, name, str, None