fixup

Author: nicolaskruchten

Diff for: doc/python/builtin-colorscales.md

@@ -96,7 +96,7 @@ It is intentionally left in for backwards-compatibility reasons.
 A collection of predefined diverging color scales is provided in the `plotly.colors.diverging` module.
 Diverging color scales are appropriate for continuous data that has a natural midpoint
 other otherwise informative special value, such as 0 altitude, or the boiling point
-of a liquid. These scales are intended to be used when [explicitly setting the midpoint of the scale](/python/colorscales/#setting-the-midpoint-of-a-diverging-colorscale).
+of a liquid. These scales are intended to be used when [explicitly setting the midpoint of the scale](/python/colorscales/#setting-the-midpoint-of-a-color-range-for-a-diverging-color-scale).
 
 Here are all the built-in scales in the `plotly.colors.diverging` module:
 

Diff for: doc/python/discrete-color.md

@@ -5,7 +5,7 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: "1.2"
+      format_version: '1.2'
       jupytext_version: 1.3.1
   kernelspec:
     display_name: Python 3
@@ -22,7 +22,8 @@ jupyter:
     pygments_lexer: ipython3
     version: 3.6.8
   plotly:
-    description: How to use and configure discrete color sequences, also known as categorical or qualitative color scales.
+    description: How to use and configure discrete color sequences, also known as
+      categorical or qualitative color scales.
     display_as: file_settings
     has_thumbnail: true
     ipynb: ~notebook_demo/187
@@ -218,7 +219,7 @@ In most cases, discrete/qualitative/categorical data values have no meaningful n
 import plotly.express as px
 df = px.data.wind()
 fig = px.bar_polar(df, r="frequency", theta="direction", color="strength",
-                   color_discrete_sequence= px.colors.sequential.Plasma[-2::-1],
+                   color_discrete_sequence= px.colors.sequential.Plasma_r,
                    title="Part of a continuous color scale used as a discrete sequence"
                   )
 fig.show()

Diff for: doc/python/plotly-express.md

@@ -298,23 +298,23 @@ fig.show()
 import plotly.express as px
 df = px.data.wind()
 fig = px.scatter_polar(df, r="frequency", theta="direction", color="strength", symbol="strength",
-            color_discrete_sequence=px.colors.sequential.Plasma[-2::-1])
+            color_discrete_sequence=px.colors.sequential.Plasma_r)
 fig.show()
 ```
 
 ```python
 import plotly.express as px
 df = px.data.wind()
 fig = px.line_polar(df, r="frequency", theta="direction", color="strength", line_close=True,
-            color_discrete_sequence=px.colors.sequential.Plasma[-2::-1])
+            color_discrete_sequence=px.colors.sequential.Plasma_r)
 fig.show()
 ```
 
 ```python
 import plotly.express as px
 df = px.data.wind()
 fig = px.bar_polar(df, r="frequency", theta="direction", color="strength", template="plotly_dark",
-            color_discrete_sequence= px.colors.sequential.Plasma[-2::-1])
+            color_discrete_sequence= px.colors.sequential.Plasma_r)
 fig.show()
 ```
 

Diff for: doc/python/polar-chart.md

@@ -57,7 +57,7 @@ import plotly.express as px
 df = px.data.wind()
 fig = px.scatter_polar(df, r="frequency", theta="direction",
                        color="strength", symbol="strength", size="frequency",
-                       color_discrete_sequence=px.colors.sequential.Plasma[-2::-1])
+                       color_discrete_sequence=px.colors.sequential.Plasma_r)
 fig.show()
 ```
 
@@ -67,7 +67,7 @@ For a line polar plot, use `px.line_polar`:
 import plotly.express as px
 df = px.data.wind()
 fig = px.line_polar(df, r="frequency", theta="direction", color="strength", line_close=True,
-                    color_discrete_sequence=px.colors.sequential.Plasma[-2::-1],
+                    color_discrete_sequence=px.colors.sequential.Plasma_r,
                     template="plotly_dark",)
 fig.show()
 ```

Diff for: doc/python/wind-rose-charts.md

@@ -46,7 +46,7 @@ import plotly.express as px
 df = px.data.wind()
 fig = px.bar_polar(df, r="frequency", theta="direction",
                    color="strength", template="plotly_dark",
-                   color_discrete_sequence= px.colors.sequential.Plasma[-2::-1])
+                   color_discrete_sequence= px.colors.sequential.Plasma_r)
 fig.show()
 ```