Update pages/1_Fundamentals.py

pages/1_Fundamentals.py

@@ -157,7 +157,7 @@ with st.form(key="selecting columns"):
         
 
         # Now, create a DataFrame from the hash_map
-        df_1 = pd.DataFrame.from_dict(hash_map, orient='index')[['finnhubIndustry','beta','pe','ps','pb','pfcf','eps','roe','roeTTM','dividendGrowthRate5Y','epsGrowth5Y','payoutRatioAnnual','payoutRatioTTM']]
+        df_1 = pd.DataFrame.from_dict(hash_map, orient='index')[['finnhubIndustry','beta','pe','ps','pb','pfcf','eps','roe','roeTTM','dividendGrowthRate5Y','epsGrowth5Y']]
         df_2 = pd.DataFrame.from_dict(gains_data, orient='index', columns=['Recent Dividend','Price'])
 
         df_final = df_1.join(df_2)
@@ -168,7 +168,7 @@ with st.form(key="selecting columns"):
         df_final['dividendGrowthRate5Y'] = df_final['dividendGrowthRate5Y']/100
         df_final['CAPM'] = df_final['90_day_tbill']/100 + df_final['beta']*(df_final['5Y_SP500_growth'] - df_final['90_day_tbill']/100)
         df_final['DDM'] = (df_final['Recent Dividend'] * (1+df_final['dividendGrowthRate5Y'])) / (df_final['CAPM'] - df_final['dividendGrowthRate5Y'])
-        df_final = df_final[['finnhubIndustry','Price','eps','roe','roeTTM','pe','ps','pb','pfcf','epsGrowth5Y','payoutRatioAnnual','payoutRatioTTM','beta','Recent Dividend','90_day_tbill','5Y_SP500_growth','dividendGrowthRate5Y','CAPM','DDM']]
+        df_final = df_final[['finnhubIndustry','Price','eps','roe','roeTTM','pe','ps','pb','pfcf','epsGrowth5Y','beta','Recent Dividend','90_day_tbill','5Y_SP500_growth','dividendGrowthRate5Y','CAPM','DDM']]
         df_final.rename({'finnhubIndustry':'Industry', 'eps':'EPS', 'roe':'ROE','pe':'P/E','ps':'P/S', 'pb':'P/B','pfcf':'P/FCF','beta':'Beta'}, inplace=True, axis=1)
         st.write(df_final)