Update sunburst-charts.md

Author: LiamConnors

Diff for: doc/python/sunburst-charts.md

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     description: How to make Sunburst Charts.
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@@ -300,6 +300,34 @@ fig.update_layout(uniformtext=dict(minsize=10, mode='hide'))
 fig.show()
 ```
 
+### Pattern Fills
+
+*New in 5.15*
+
+Sunburst charts support [patterns](/python/pattern-hatching-texture/) (also known as hatching or texture) in addition to color. In this example, we add a different pattern to each level of the hierarchy. We also specify the `solidity` of the pattern.
+
+```python
+import plotly.graph_objects as go
+
+fig = go.Figure(
+    go.Sunburst(
+        labels=["Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"],
+        parents=["", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve"],
+        values=[65, 14, 12, 10, 2, 6, 6, 4, 4],
+        branchvalues="total",
+        textfont_size=16,
+        marker={
+            "pattern": {"shape": ["", "/", "/", ".", ".", "/", "/", ".", "/"], "solidity": 0.9}
+        },
+    )
+)
+
+fig.update_layout(margin=dict(t=0, l=0, r=0, b=0))
+
+fig.show()
+
+```
+
 ### Sunburst chart with a continuous colorscale
 
 The example below visualizes a breakdown of sales (corresponding to sector width) and call success rate (corresponding to sector color) by region, county and salesperson level. For example, when exploring the data you can see that although the East region is behaving poorly, the Tyler county is still above average -- however, its performance is reduced by the poor success rate of salesperson GT.