From f950aa8a81a3a7e76788efa694a2f38d122aadff Mon Sep 17 00:00:00 2001
From: Liam Connors <liam@plot.ly>
Date: Mon, 4 Apr 2022 13:03:47 -0400
Subject: [PATCH] Update legend.md

---
 doc/python/legend.md | 19 -------------------
 1 file changed, 19 deletions(-)

diff --git a/doc/python/legend.md b/doc/python/legend.md
index ac06bb8ff2..da1fbc2323 100644
--- a/doc/python/legend.md
+++ b/doc/python/legend.md
@@ -150,25 +150,6 @@ fig.update_layout(legend=dict(
 fig.show()
 ```
 
-### Legend Groups
-
-```python
-import plotly.express as px
-
-df = px.data.gapminder().query("year==2007")
-fig = px.scatter(df, x="gdpPercap", y="lifeExp", color="continent",
-    size="pop", size_max=45, log_x=True)
-
-fig.update_layout(legend=dict(
-    yanchor="top",
-    y=0.99,
-    xanchor="left",
-    x=0.01
-))
-
-fig.show()
-```
-
 #### Legends in Dash
 
 [Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.