add

pandas/io/formats/format.py

@@ -1628,13 +1628,13 @@ def _format_strings(self) -> list[str]:
  values = DatetimeIndex(values)
 
  if self.formatter is not None and callable(self.formatter):
- fmt_values = np.frompyfunc(self.formatter, 1, 1)(values)
+ fmt_values = [self.formatter(x) for x in values]
  else:
  fmt_values = values._data._format_native_types(
  na_rep=self.nat_rep, date_format=self.date_format
  )
 
- nested_formatter = GenericArrayFormatter(fmt_values)
+ nested_formatter = GenericArrayFormatter(np.array(fmt_values))
  fmt_values = nested_formatter.get_result()
  return list(fmt_values)
 

pandas/tests/io/formats/test_format.py

@@ -3182,7 +3182,7 @@ def test_datetime64formatter_3d_array(self):
  assert result[0].strip() == "[[2018-01-01 00:00:00]]"
  assert result[9].strip() == "[[2018-01-01 09:00:00]]"
 
- def test_datetime64formatter_2d_array_format_func(self):
+ def test_datetime64formatter_3d_array_format_func(self):
  x = date_range("2018-01-01", periods=24, freq="H").to_numpy()
 
  def format_func(t):