Create backupapp.py

backupapp.py

@@ -0,0 +1,37 @@
+import pandas as pd
+import plotly.graph_objects as go
+
+def create_sunburst_plot(df):
+    fig = go.Figure(go.Sunburst(
+        labels=df['labels'],
+        parents=df['parents'],
+        values=df['values'],
+        ids=df['ids'],
+        text=df['text'],
+        hoverinfo="label+value",
+        branchvalues="total",
+    ))
+
+    fig.update_layout(margin=dict(t=0, l=0, r=0, b=0))
+    return fig
+
+data = [
+    {'ids': 'Root', 'labels': 'Root', 'parents': '', 'values': None, 'text': 'Root'},
+    {'ids': 'Hip Surgery', 'labels': 'Hip Surgery', 'parents': 'Root', 'values': 30, 'text': 'Hip Surgery'},
+    {'ids': 'Knee Surgery', 'labels': 'Knee Surgery', 'parents': 'Root', 'values': 40, 'text': 'Knee Surgery'},
+    {'ids': 'CPT1', 'labels': 'CPT1', 'parents': 'Hip Surgery', 'values': 20, 'text': 'CPT1'},
+    {'ids': 'CPT2', 'labels': 'CPT2', 'parents': 'Hip Surgery', 'values': 10, 'text': 'CPT2'},
+    {'ids': 'CPT3', 'labels': 'CPT3', 'parents': 'Knee Surgery', 'values': 25, 'text': 'CPT3'},
+    {'ids': 'CPT4', 'labels': 'CPT4', 'parents': 'Knee Surgery', 'values': 15, 'text': 'CPT4'},
+]
+
+df = pd.DataFrame(data)
+
+# Filter DataFrame using a query parameter
+def filter_data(df, query):
+    return df.query(query)
+
+filtered_df = filter_data(df, "parents == 'Root'")
+
+fig = create_sunburst_plot(filtered_df)
+fig.show()