only use escape on str

pandas/io/formats/style.py

@@ -2205,11 +2205,15 @@ def _maybe_wrap_formatter(
  else:
  raise TypeError(f"'formatter' expected str or callable, got {type(formatter)}")
 
+ def _str_escape(x):
+ """only use escape_func on str, else return input"""
+ return escape_func(x) if isinstance(x, str) else x
+
  if na_rep is None:
- return (lambda x: formatter_func(escape_func(x))) if escape else formatter_func
+ return (lambda x: formatter_func(_str_escape(x))) if escape else formatter_func
  else:
  if escape:
- return lambda x: na_rep if pd.isna(x) else formatter_func(escape_func(x))
+ return lambda x: na_rep if pd.isna(x) else formatter_func(_str_escape(x))
  else:
  return lambda x: na_rep if pd.isna(x) else formatter_func(x)
 

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

@@ -667,6 +667,16 @@ def test_format_escape_na_rep(self):
  assert ex in s.render()
  assert expected2 in s.render()
 
+ def test_format_escape_floats(self):
+ # test given formatter for number format is not impacted by escape
+ s = self.df.style.format("{:.1f}", escape=True)
+ for expected in [">0.0<", ">1.0<", ">-1.2<", ">-0.6<"]:
+ assert expected in s.render()
+ # tests precision of floats is not impacted by escape
+ s = self.df.style.format(precision=1, escape=True)
+ for expected in [">0<", ">1<", ">-1.2<", ">-0.6<"]:
+ assert expected in s.render()
+
  def test_nonunique_raises(self):
  df = DataFrame([[1, 2]], columns=["A", "A"])
  msg = "style is not supported for non-unique indices."