Update app.py

app.py

@@ -25,19 +25,24 @@ todaydate2 = datetime.today().strftime("%Y-%m-%d")
 df = get_df(todaydate2)
 selectedcol = pn.widgets.Select(name='Select Ratio', value = 'PEG Ratio', options=list(df.columns))
 selecteditem = pn.widgets.Select(name='Select Item', options=['Industry' , 'Sector'])
+selectedmethod = pn.widgets.Select(name='Select Method', value= 'Mean' , options=['Mean', 'Min' , 'Max'])
 
 selectedhover = 'Ticker'
 hv.extension('bokeh')
 
-def create_plot(selectedcol,selecteditem,todaydate):
+def create_plot(selectedcol,selecteditem,todaydate,selectedmethod):
     df = get_df(todaydate)
-    
-    group_means = df.groupby(selecteditem)[selectedcol].mean()
-    df2 = df.merge(group_means, left_on=selecteditem, right_index=True, suffixes=('', f'_{selecteditem}_mean'))
+    if selectedmethod=='Mean':
+        group_means = df.groupby(selecteditem)[selectedcol].mean()
+    if selectedmethod=='Min':
+        group_means = df.groupby(selecteditem)[selectedcol].min()
+    if selectedmethod=='Max':
+        group_means = df.groupby(selecteditem)[selectedcol].max()
+    df2 = df.merge(group_means, left_on=selecteditem, right_index=True, suffixes=('', f'_{selecteditem}_{selectedmethod}'))
 
     return df2.hvplot.bar(x=selecteditem, y=f'{selectedcol}_{selecteditem}_mean', hover_cols=selectedhover, height=800, width=1800).opts(xrotation=90, fontsize={'xticks': 10})
 
-bound_plot = pn.bind(create_plot, selectedcol=selectedcol , selecteditem=selecteditem, todaydate=todaydate)
-pn.Column(pn.Row(selectedcol, selecteditem, todaydate), bound_plot).servable(title="Financial Sector Ratios Navigator")
+bound_plot = pn.bind(create_plot, selectedcol=selectedcol , selecteditem=selecteditem, todaydate=todaydate, selectedmethod=selectedmethod)
+pn.Column(pn.Row(selectedcol, selecteditem, todaydate,selectedmethod), bound_plot).servable(title="Financial Sector Ratios Navigator")