diff --git a/doc/python/renderers.md b/doc/python/renderers.md
index 47ac49334d6..b5b61442591 100644
--- a/doc/python/renderers.md
+++ b/doc/python/renderers.md
@@ -235,7 +235,7 @@ It is important to note that Dash does not use the renderers framework discussed
 
 Instead, pass your figure as the `figure` parameter to the [`dcc.Graph`](https://dash.plot.ly/dash-core-components/graph) component, which is part of the [Dash Core Components](https://dash.plot.ly/dash-core-components) library. The code below demonstrates how to do this. 
 
-<!-- #raw -->
+```
 import dash_core_components as dcc
 import plotly.graph_objs as go
 
@@ -245,7 +245,7 @@ dcc.Graph(
         id='example-graph-2',
         figure=fig
     )
-<!-- #endraw -->
+```
 
 ## Displaying Figures Using `ipywidgets`
 Plotly figures can be displayed in [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) contexts using `plotly.graph_objects.FigureWidget` objects.  `FigureWidget` is a figure graph object (just like `plotly.graph_objects.Figure`), so you can add traces to it and update it just like a regular `Figure`.  But `FigureWidget` is also an `ipywidgets` object, which means that you can display it alongside other `ipywidgets` to build user interfaces right in the notebook.