TYP: fix a few errors found by pandas-stub (#47562)

Author: twoertwein

pandas/_testing/asserters.py

@@ -864,7 +864,7 @@ def assert_series_equal(
  check_dtype: bool | Literal["equiv"] = True,
  check_index_type="equiv",
  check_series_type=True,
- check_less_precise=no_default,
+ check_less_precise: bool | int | NoDefault = no_default,
  check_names=True,
  check_exact=False,
  check_datetimelike_compat=False,

pandas/core/generic.py

@@ -1050,7 +1050,9 @@ def _rename(
  return result.__finalize__(self, method="rename")
 
  @rewrite_axis_style_signature("mapper", [("copy", True), ("inplace", False)])
- def rename_axis(self, mapper=lib.no_default, **kwargs):
+ def rename_axis(
+ self, mapper: IndexLabel | lib.NoDefault = lib.no_default, **kwargs
+ ):
  """
  Set the name of the axis for the index or columns.
 

pandas/core/indexes/multi.py

@@ -578,7 +578,10 @@ def from_tuples(
 
  @classmethod
  def from_product(
- cls, iterables, sortorder=None, names=lib.no_default
+ cls,
+ iterables: Sequence[Iterable[Hashable]],
+ sortorder: int | None = None,
+ names: Sequence[Hashable] | lib.NoDefault = lib.no_default,
  ) -> MultiIndex:
  """
  Make a MultiIndex from the cartesian product of multiple iterables.

pandas/plotting/_matplotlib/groupby.py

@@ -112,7 +112,9 @@ def reconstruct_data_with_by(
 
  data_list = []
  for key, group in grouped:
- columns = MultiIndex.from_product([[key], cols])
+ # error: List item 1 has incompatible type "Union[Hashable,
+ # Sequence[Hashable]]"; expected "Iterable[Hashable]"
+ columns = MultiIndex.from_product([[key], cols]) # type: ignore[list-item]
  sub_group = group[cols]
  sub_group.columns = columns
  data_list.append(sub_group)