plotly
diff --git a/‎doc/python/time-series.md
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+3-1Lines changed: 3 additions & 1 deletion b/‎doc/python/time-series.md
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+3-1Lines changed: 3 additions & 1 deletion
@@ -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()
-```
+```
Original file line number	Diff line number	Diff line change
`@@ -184,6 +184,8 @@ fig.show()`
`184`	`184`
`185`	`185`	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
`186`	`186`
	`187`	+> 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`.
	`188`	`+`
`187`	`189`	```python
`188`	`190`	`import plotly.express as px`
`189`	`191`	`import pandas as pd`
`@@ -208,4 +210,4 @@ fig.update_xaxes(`
`208`	`210`	`]`
`209`	`211`	`)`
`210`	`212`	`fig.show()`
`211`		-```
	`213`	+```