BUG: Update Styler.clear method to clear all

doc/source/whatsnew/v1.3.0.rst

@@ -145,6 +145,7 @@ Other enhancements
 - :class:`RangeIndex` can now be constructed by passing a ``range`` object directly e.g. ``pd.RangeIndex(range(3))`` (:issue:`12067`)
 - :meth:`round` being enabled for the nullable integer and floating dtypes (:issue:`38844`)
 - :meth:`pandas.read_csv` and :meth:`pandas.read_json` expose the argument ``encoding_errors`` to control how encoding errors are handled (:issue:`39450`)
+- :meth:`.Styler.clear` now clears :attr:`Styler.hidden_index` and :attr:`Styler.hidden_columns` as well (:issue:`40484`)
 
 .. ---------------------------------------------------------------------------
 

pandas/io/formats/style.py

@@ -882,7 +882,12 @@ def clear(self) -> None:
         self.ctx.clear()
         self.tooltips = None
         self.cell_context.clear()
-        self._todo = []
+        self._todo.clear()
+
+        self.hidden_index = False
+        self.hidden_columns = []
+        # self.format and self.table_styles may be dependent on user
+        # input in self.__init__()
 
     def _compute(self):
         """

pandas/tests/io/formats/style/test_style.py

@@ -174,10 +174,13 @@ def test_clear(self):
         tt = DataFrame({"A": [None, "tt"]})
         css = DataFrame({"A": [None, "cls-a"]})
         s = self.df.style.highlight_max().set_tooltips(tt).set_td_classes(css)
+        s = s.hide_index().hide_columns("A")
         # _todo, tooltips and cell_context items added to..
         assert len(s._todo) > 0
         assert s.tooltips
         assert len(s.cell_context) > 0
+        assert s.hidden_index is True
+        assert len(s.hidden_columns) > 0
 
         s = s._compute()
         # ctx item affected when a render takes place. _todo is maintained
@@ -190,6 +193,8 @@ def test_clear(self):
         assert len(s._todo) == 0
         assert not s.tooltips
         assert len(s.cell_context) == 0
+        assert s.hidden_index is False
+        assert len(s.hidden_columns) == 0
 
     def test_render(self):
         df = DataFrame({"A": [0, 1]})