lqiang2003cn
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@@ -34,6 +34,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
    have a `range_theta` keyword argument for representing only an angular
 section [#1969](https://github.com/plotly/plotly.py/pull/1969).
  - Docstrings of plotly.py are now doctested [#1921](https://github.com/plotly/plotly.py/pull/1921).
+ - Reversing a predefined colorscale by appending `_r` to its name [#1933](https://github.com/plotly/plotly.py/pull/1933)
 
 ## [4.3.0] - 2019-11-11
 
 
@@ -5,8 +5,8 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: '1.1'
-      jupytext_version: 1.2.1
+      format_version: '1.2'
+      jupytext_version: 1.3.0
   kernelspec:
     display_name: Python 3
     language: python
@@ -62,6 +62,28 @@ fig = px.scatter(iris, x="sepal_width", y="sepal_length",
 fig.show()
 ```
 
+### Reversing a predefined colorscale
+
+You can reverse a predefined colorscale by appending `_r` to its name, for colorscales given either as a string or a `plotly` object. 
+
+```python
+import plotly.express as px
+iris = px.data.iris()
+fig = px.scatter(iris, x="sepal_width", y="sepal_length",
+                 color="sepal_length", color_continuous_scale='Magma_r')
+
+fig.show()
+```
+
+```python
+import plotly.express as px
+data = [[1, .3, .5, .9], 
+        [.3, .1, .4, 1],
+        [.2, .8, .9, .3]]
+fig = px.imshow(data, color_continuous_scale=px.colors.diverging.Tealrose_r)
+fig.show()
+```
+
 ### Custom Discretized Heatmap Colorscale
 
 ```python