Update app.py

app.py

@@ -99,9 +99,11 @@ moving_avg_slider = pn.widgets.IntSlider(name='Moving Average Window', start=1,
 # Visualization function
 @pn.depends(subgroup_select.param.value, date_slider.param.value, moving_avg_slider.param.value)
 def create_plot(subgroup, date_range, moving_av_window):
-    filtered_data = df2[(df2['subgroup'] == subgroup) & (df2['timestamp'].dt.date.between(date_range[0], date_range[1]))]
-    data = filtered_data.copy()
-    data['moving_avg'] = data.groupby('choice')['rate'].transform(lambda x: x.rolling(window=moving_av_window, min_periods=1).mean())
+    start_date, end_date = date_range[0].date(), date_range[1].date()  # Convert to date
+    data = df2[(df2['subgroup'] == subgroup) & (df2['choice'] == "approve")  & (df2['timestamp'].dt.date.between(start_date, end_date))]
+    # filtered_data = df2[(df2['subgroup'] == subgroup) & (df2['timestamp'].dt.date.between(date_range[0], date_range[1]))]
+    data = data.sort_values('timestamp')
+    data['moving_avg'] = data['rate'].rolling(window=moving_av_window, min_periods=1).mean()
 
     chart = alt.Chart(data).mark_line().encode(
         x='timestamp:T',