code: def _coerce_to_type(x):
      
      dtype = None
  
      if is_datetime64tz_dtype(x):
          dtype = x.dtype
      elif is_datetime64_dtype(x):
          x = to_datetime(x)
          dtype = np.dtype('datetime64[ns]')
      elif is_timedelta64_dtype(x):
          x = to_timedelta(x)
          dtype = np.dtype('timedelta64[ns]')
  
      if dtype is not None:
          # GH 19768: force NaT to NaN during integer conversion
          x = np.where(x.notna(), x.view(np.int64), np.nan)
  
      return x, dtype
docs: if the passed data is of datetime/timedelta type,
      this method converts it to numeric so that cut method can
      handle it