code: def _timestamp_type_check(df_column):
      """
      This check is used to make datetime column is datetime64 stype to facilitate our
      access to freq.
      """
      _is_pd_datetime = pd.api.types.is_datetime64_any_dtype(
          df_column.dtypes
      )
      if _is_pd_datetime is not True:
          logging.warning(
              "Datetime column should be datetime64 dtype. You can manually modify "
              "the dtype, or set repair=True when initialize TSDataset."
          )
          return False
      return True
  
file_path: BigDL/python/chronos/src/bigdl/chronos/data/utils/quality_inspection.py
imports: import pandas
  import numpy
  from bigdl.nano.utils.common import invalidInputError
  import logging
label_desc: Use image node_id 2 for calling a global function with example usage: _timestamp_type_check(df_column) and returns: True, False