From 72710354ecc8470683e15f452ba0af841464e84a Mon Sep 17 00:00:00 2001
From: Michael Waskom <mwaskom@users.noreply.github.com>
Date: Tue, 27 Dec 2022 20:27:41 -0500
Subject: [PATCH] Avoid exception from Continuous scale for normed property
 (#3190)

---
 doc/whatsnew/v0.12.2.rst   | 2 ++
 seaborn/_core/scales.py    | 2 +-
 tests/_core/test_scales.py | 6 ++++++
 3 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/doc/whatsnew/v0.12.2.rst b/doc/whatsnew/v0.12.2.rst
index 927c4fa0a2..423cc58e5c 100644
--- a/doc/whatsnew/v0.12.2.rst
+++ b/doc/whatsnew/v0.12.2.rst
@@ -14,6 +14,8 @@ v0.12.2 (Unreleased)
 
 - |Fix| Fixed a regression in v0.12.0 where manually-added labels could have duplicate legend entries (:pr:`3116`).
 
+- |Fix| Normed properties using a :class:`objects.Continuous` scale  no longer raise on boolean data (:pr:`3189`).
+
 - |Fix| Fixed a bug in :func:`histplot` with `kde=True` and `log_scale=True` where the curve was not scaled properly (:pr:`3173`).
 
 - |Fix| Fixed a bug in :func:`relplot` where inner axis labels would be shown when axis sharing was disabled (:pr:`3180`).
diff --git a/seaborn/_core/scales.py b/seaborn/_core/scales.py
index 6c9ecbc902..3c215a60d8 100644
--- a/seaborn/_core/scales.py
+++ b/seaborn/_core/scales.py
@@ -346,7 +346,7 @@ def _setup(
                 vmin, vmax = data.min(), data.max()
             else:
                 vmin, vmax = new.norm
-            vmin, vmax = axis.convert_units((vmin, vmax))
+            vmin, vmax = map(float, axis.convert_units((vmin, vmax)))
             a = forward(vmin)
             b = forward(vmax) - forward(vmin)
 
diff --git a/tests/_core/test_scales.py b/tests/_core/test_scales.py
index 2d967cc217..ac77098c64 100644
--- a/tests/_core/test_scales.py
+++ b/tests/_core/test_scales.py
@@ -90,6 +90,12 @@ def test_interval_with_range_norm_and_transform(self, x):
         s = Continuous((2, 3), (10, 100), "log")._setup(x, IntervalProperty())
         assert_array_equal(s(x), [1, 2, 3])
 
+    def test_interval_with_bools(self):
+
+        x = pd.Series([True, False, False])
+        s = Continuous()._setup(x, IntervalProperty())
+        assert_array_equal(s(x), [1, 0, 0])
+
     def test_color_defaults(self, x):
 
         cmap = color_palette("ch:", as_cmap=True)