From 14caa5f6bb0715c97f721d2636d54ea341a86843 Mon Sep 17 00:00:00 2001 From: Mana Borwornpadungkitti Date: Wed, 18 Mar 2020 12:09:25 -0400 Subject: [PATCH] Clarify `histnorm` description This is consistent with https://plot.ly/python-api-reference/generated/plotly.express.histogram.html#plotly.express.histogram and https://plot.ly/python/reference/#histogram-histnorm. --- doc/python/histograms.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/python/histograms.md b/doc/python/histograms.md index c558ba5ffa1..5a77afcb482 100644 --- a/doc/python/histograms.md +++ b/doc/python/histograms.md @@ -88,7 +88,7 @@ fig.show() #### Type of normalization -The default mode is to represent the count of samples in each bin. With the `histnorm` argument, it is also possible to represent the percentage or fraction of samples in each bin (`histnorm='percent'` or `probability`), or a density histogram (the sum of bars is equal to 100, `density`), or a probability density histogram (sum equal to 1, `probability density`). +The default mode is to represent the count of samples in each bin. With the `histnorm` argument, it is also possible to represent the percentage or fraction of samples in each bin (`histnorm='percent'` or `probability`), or a density histogram (the sum of all bar areas equals the total number of sample points, `density`), or a probability density histogram (the sum of all bar areas equals 1, `probability density`). ```python import plotly.express as px