From c56b0c46652eeae84a6403b951361d0cc35e5720 Mon Sep 17 00:00:00 2001
From: Michael Waskom <mwaskom@nyu.edu>
Date: Sun, 31 Jan 2021 19:57:49 -0500
Subject: [PATCH] Test bivariate normalization

---
 seaborn/tests/test_distributions.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/seaborn/tests/test_distributions.py b/seaborn/tests/test_distributions.py
index ebb86db4e8..a2f8628e0e 100644
--- a/seaborn/tests/test_distributions.py
+++ b/seaborn/tests/test_distributions.py
@@ -1816,6 +1816,17 @@ def test_mesh_unique_norm(self, long_df):
             density, (x_edges, y_edges) = sub_hist(sub_df["x"], sub_df["y"])
             assert_array_equal(mesh_data.data, density.T.flat)
 
+    @pytest.mark.parametrize("stat", ["probability", "percent"])
+    def test_mesh_normalization(self, long_df, stat):
+
+        ax = histplot(
+            long_df, x="x", y="y", stat=stat,
+        )
+
+        mesh_data = ax.collections[0].get_array()
+        expected_sum = {"probability": 1, "percent": 100}[stat]
+        assert mesh_data.data.sum() == expected_sum
+
     def test_mesh_colors(self, long_df):
 
         color = "r"