Merge branch 'doc-prod'

Author: nicolaskruchten

doc/python/multiple-axes.md

@@ -22,7 +22,7 @@ jupyter:
     pygments_lexer: ipython3
     version: 3.7.2
   plotly:
-    description: How to make a graph with multiple axes in python.
+    description: How to make a graph with multiple axes (dual y-axis plots, plots with secondary axes) in python.
     display_as: file_settings
     language: python
     layout: base
@@ -225,4 +225,4 @@ fig.show()
 ```
 
 #### Reference
-All of the y-axis properties are found here: https://plotly.com/python/reference/#YAxis.  For more information on creating subplots see the [Subplots in Python](/python/subplots/) section.
+All of the y-axis properties are found here: https://plotly.com/python/reference/#YAxis.  For more information on creating subplots see the [Subplots in Python](/python/subplots/) section.

doc/python/tick-formatting.md

@@ -98,7 +98,7 @@ fig.update_layout(yaxis_tickformat = '%')
 fig.show()
 ```
 
-#### Using Tickformat Atttribute - Date/Time
+#### Using Tickformat Attribute - Date/Time
 
 
 For more date/time formatting types, see: https://github.com/d3/d3-time-format/blob/master/README.md
@@ -194,4 +194,4 @@ fig.show()
 ```
 
 #### Reference
-See https://plotly.com/python/reference/#layout-xaxis for more information and chart attribute options!
+See https://plotly.com/python/reference/#layout-xaxis for more information and chart attribute options!

doc/python/time-series.md

@@ -184,6 +184,8 @@ fig.show()
 
 The `rangebreaks` attribute available on x- and y-axes of type `date` can be used to hide certain time-periods. In the example below, we show two plots: one in default mode to show gaps in the data, and one where we hide weekends and holidays to show an uninterrupted trading history. Note the smaller gaps between the grid lines for December 21 and January 4, where holidays were removed. Check out the reference for more options: https://plotly.com/python/reference/#layout-xaxis-rangebreaks
 
+> Note: a known limitation of this feature is that it does not support `scattergl` traces. When using this feature on plots with more than a few hundred data points with `px.scatter` or `px.line` or `px.area`, you may need to pass in `render_mode="svg"` to ensure that the underlying trace type is `scatter` and not `scattergl`.
+
 ```python
 import plotly.express as px
 import pandas as pd
@@ -208,4 +210,4 @@ fig.update_xaxes(
     ]
 )
 fig.show()
-```
+```