From d722149dadb60aa3e59ec8e5fa9631837c0677af Mon Sep 17 00:00:00 2001
From: ColeBurch <48129706+ColeBurch@users.noreply.github.com>
Date: Tue, 14 Mar 2023 11:39:52 -0600
Subject: [PATCH] Fix issue #25458 by changing "normed" to "density"

---
 galleries/examples/statistics/histogram_cumulative.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/galleries/examples/statistics/histogram_cumulative.py b/galleries/examples/statistics/histogram_cumulative.py
index a24f378831a4..cbe786f2e970 100644
--- a/galleries/examples/statistics/histogram_cumulative.py
+++ b/galleries/examples/statistics/histogram_cumulative.py
@@ -8,11 +8,11 @@
 distribution function (CDF) of a sample. We also show the theoretical CDF.
 
 A couple of other options to the ``hist`` function are demonstrated. Namely, we
-use the *normed* parameter to normalize the histogram and a couple of different
-options to the *cumulative* parameter. The *normed* parameter takes a boolean
+use the *density* parameter to normalize the histogram and a couple of different
+options to the *cumulative* parameter. The *density* parameter takes a boolean
 value. When ``True``, the bin heights are scaled such that the total area of
 the histogram is 1. The *cumulative* keyword argument is a little more nuanced.
-Like *normed*, you can pass it True or False, but you can also pass it -1 to
+Like *density*, you can pass it True or False, but you can also pass it -1 to
 reverse the distribution.
 
 Since we're showing a normalized and cumulative histogram, these curves