Update app.py

app.py

@@ -6,7 +6,7 @@ from datetime import date,timedelta
 pn.extension('bokeh', template='bootstrap')
 import hvplot.pandas
 
-#@pn.cache
+@pn.cache
 def get_df(todaydate):
     todaydate2 = datetime.today().strftime("%Y-%m-%d")
     # todaydate2 =todaydate.strftime("%Y-%m-%d")
@@ -35,9 +35,9 @@ def create_plot(selectedcol,selecteditem,todaydate):
     group_means = df.groupby(selecteditem)[selectedcol].mean()
     df2 = df.merge(group_means, left_on=selecteditem, right_index=True, suffixes=('', f'_{selecteditem}_mean'))
 
-    return df2.hvplot.bar(x=selecteditem, y=f'{selectedcol}_{selecteditem}_mean', hover_cols=selectedhover, height=600, width=1600).opts(xrotation=90, fontsize={'xticks': 10})
+    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(selectedcol, selecteditem, todaydate, bound_plot).servable(title="Financial Sector Ratios Navigator")
+pn.Column(pn.Row(selectedcol, selecteditem, todaydate), bound_plot).servable(title="Financial Sector Ratios Navigator")