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diff --git a/‎doc/python/axes.md
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+16-2Lines changed: 16 additions & 2 deletions b/‎doc/python/axes.md
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+16-2Lines changed: 16 additions & 2 deletions
@@ -531,6 +531,20 @@ fig.update_yaxes(range=[3, 9])
 fig.show()
 ```
 
+#### Disabling Pan/Zoom on Axes (Fixed Range)
+
+Pan/Zoom can be disabled for a given axis by setting `fixedrange` to `True`.
+
+```python
+import plotly.express as px
+df = px.data.iris()
+
+fig = px.scatter(df, x="sepal_width", y="sepal_length", facet_col="species")
+fig.update_xaxes(fixedrange=True)
+
+fig.show()
+```
+
 ### Fixed Ratio Axes
 
 The `scaleanchor` and `scaleratio` axis properties can be used to force a fixed ratio of pixels per unit between two axes.
@@ -742,7 +756,7 @@ fig.show()
 
 #### Synchronizing axes in subplots with `matches`
 
-Using `facet_col` from `plotly.express` let [zoom](https://help.plotly.com/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plotly.com/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. 
+Using `facet_col` from `plotly.express` let [zoom](https://help.plotly.com/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plotly.com/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly.
 
 Zoom in one trace below, to see the other subplots zoomed to the same x-axis range. To pan all the subplots, click and drag from the center of x-axis to the side:
 
@@ -763,4 +777,4 @@ fig.show()
 
 #### Reference
 
-See https://plotly.com/python/reference/#layout-xaxis and https://plotly.com/python/reference/#layout-yaxis for more information and chart attribute options!
+See https://plotly.com/python/reference/#layout-xaxis and https://plotly.com/python/reference/#layout-yaxis for more information and chart attribute options!