Update app.py

app.py

@@ -33,14 +33,14 @@ hv.extension('bokeh')
 def create_plot(selectedcol,selecteditem,todaydate,selectedmethod):
     df = get_df(todaydate)
     if selectedmethod=='Mean':
-        group_means = df.groupby(selecteditem)[selectedcol].mean()
+        group_them = df.groupby(selecteditem)[selectedcol].mean()
     if selectedmethod=='Min':
-        group_means = df.groupby(selecteditem)[selectedcol].min()
+        group_them = 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}'))
+        group_them = df.groupby(selecteditem)[selectedcol].max()
+    df2 = df.merge(group_them, 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})
+    return df2.hvplot.bar(x=selecteditem, y=f'{selectedcol}_{selecteditem}_{selectedmethod}', 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, selectedmethod=selectedmethod)
 pn.Column(pn.Row(selectedcol, selecteditem, todaydate,selectedmethod), bound_plot).servable(title="Financial Sector Ratios Navigator")