code: def _check_time_against_column(time, time_column):
      """
      Check to make sure that time is compatible with time_column,
      where time could be a timestamp, or a Timedelta, number, or None,
      and time_column is a Woodwork initialized column. Compatibility means that
      arithmetic can be performed between time and elements of time_column
  
      If time is None, then we don't care if arithmetic can be performed
      (presumably it won't ever be performed)
      """
      if time is None:
          return True
      elif isinstance(time, (int, float)):
          return time_column.ww.schema.is_numeric
      elif isinstance(time, (pd.Timestamp, datetime, pd.DateOffset)):
          return time_column.ww.schema.is_datetime
      elif isinstance(time, Timedelta):
          if time_column.ww.schema.is_datetime:
              return True
          elif time.unit not in Timedelta._time_units:
              if (
                  isinstance(time_column.ww.logical_type, Ordinal)
                  or "numeric" in time_column.ww.semantic_tags
                  or "time_index" in time_column.ww.semantic_tags
              ):
                  return True
      return False
  
file_path: featuretools/featuretools/utils/wrangle.py
imports: import re
  import tarfile
  from datetime import datetime
  import numpy
  import pandas
  from woodwork.logical_types import Datetime, Ordinal
  from featuretools.entityset.timedelta import Timedelta
label_desc: Use image node_id 2 for calling a global function with example usage: _check_time_against_column(time, time_column) and returns: False, True, time_column, time_column, True, True