added example about facet_col_wrap, and one example for disabling axis sharing

python/facet-plots.md

@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.6.7
+    version: 3.6.8
   plotly:
     description: How to make Facet and Trellis Plots in Python with Plotly.
     display_as: statistical
@@ -58,6 +58,18 @@ fig = px.bar(tips, x="size", y="total_bill", color="sex", facet_row="smoker")
 fig.show()
 ```
 
+### Wrapping Column Facets
+
+When the facet dimension has a large number of unique values, it is possible to wrap columns using the `facet_col_wrap` argument. 
+
+```python
+import plotly.express as px
+df = px.data.gapminder()
+fig = px.scatter(df, x='gdpPercap', y='lifeExp', color='continent', size='pop',
+                facet_col='year', facet_col_wrap=4)
+fig.show()
+```
+
 ### Histogram Facet Grids
 
 ```python
@@ -67,3 +79,27 @@ fig = px.histogram(tips, x="total_bill", y="tip", color="sex", facet_row="time",
        category_orders={"day": ["Thur", "Fri", "Sat", "Sun"], "time": ["Lunch", "Dinner"]})
 fig.show()
 ```
+
+### Facets with independent axes
+
+By default, facet axes are linked together: zooming inside one of the facets will also zoom in the other facets. You can disable this behaviour when you use `facet_row` only, by disabling `matches` on the Y axes, or when using `facet_col` only, by disabling `matches` on the X axes. It is not recommended to use this approach when using `facet_row` and `facet_col` together, as in this case it becomes very hard to understand the labelling of axes and grid lines. 
+
+```python
+import plotly.express as px
+df = px.data.tips()
+fig = px.scatter(df, x="total_bill", y="tip", color='sex', facet_row="day")
+fig.update_yaxes(matches=None)
+fig.show()
+```
+
+```python
+import plotly.express as px
+df = px.data.tips()
+fig = px.scatter(df, x="total_bill", y="tip", color='sex', facet_col="day")
+fig.update_xaxes(matches=None)
+fig.show()
+```
+
+```python
+
+```