Update app.py

app.py

@@ -1085,7 +1085,7 @@ cp_performance = pn.Tabs(('Performance results',pn.Column(pn.Row(cp_select,year_
 results = df[df['year'] != 2017]
 results_filtered = results[~results['people'].str.contains('Cytologist 8', na=False)]
 med_ref_distribution = pd.concat([results_filtered[results_filtered.people.str.contains('KGYC')],results.iloc[[0]]])[['ASC/LSIL','ASC-US/ASC-H ratio(%)', 'Abnormal Rate(%)','Referral Rate(%)']]
-med_ref_distribution.loc[len(med_ref_distribution)] = {'ASC/LSIL':0.75,'ASC-US/ASC-H ratio(%)':7.15, 'Abnormal Rate(%)':1.5}
+med_ref_distribution.loc[len(med_ref_distribution)] = {'ASC/LSIL':0.75,'ASC-US/ASC-H ratio(%)':12.5, 'Abnormal Rate(%)':1.5}
 
 
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