Update pages/1_Store Demand Forecasting.py

pages/1_Store Demand Forecasting.py

@@ -177,7 +177,7 @@ if option=='TFT':
            
     #--------------------------------------------------------------------------------------------------------------
         # tabs
-        tab1,tab2,tab3=st.tabs(['📈Forecast Plot','🗃Forecast Table','🗃Actual Data'])
+        tab1,tab2,tab3=st.tabs(['📈Forecast Plot','🗃Forecast Table','🗃Actual Table'])
     #------------------------------------------------Tab-1-----------------------------------------------------------
         tab1.markdown("""
                         <div style='text-align: left; margin-top:-10px;margin-bottom:-10px;'>
@@ -263,8 +263,10 @@ if option=='TFT':
                         </h2>
                         </div>
                         """, unsafe_allow_html=True)
-        actual_data=train_dataset[['date','store','item','sales']]
-        tab3.dataframe(actual_data,width=500)
+        train_a=train_dataset.loc[(train_dataset['store']==store) & (train_dataset['item']==item)][['date','store','item','sales']]
+        test_a=test_dataset.loc[(test_dataset['store']==store) & (test_dataset['item']==item)][['date','store','item','sales']]
+        actual_final_data=pd.concat([train_a,test_a])
+        tab3.dataframe(actual_final_data,width=500)
         
     except:
         st.sidebar.error('Model Not Loaded successfully!',icon="🚨")           
@@ -394,7 +396,7 @@ elif option=='Prophet':
             st.dataframe(pd.DataFrame({"KPI":['RMSE','MAE'],"Prophet":[rmse,mae]}).set_index('KPI'),width=300)
        
         #---------------------------------------Tabs-----------------------------------------------------------------------
-        tab1,tab2=st.tabs(['📈Forecast Plot','🗃Forecast Table'])
+        tab1,tab2,tab3=st.tabs(['📈Forecast Plot','🗃Forecast Table','🗃Actual Table'])
         #-------------------------------------------Tab-1=Forecast plot---------------------------------------------------
         tab1.markdown("""
         <div style='text-align: left; margin-top:-10px;margin-bottom:-10px;'>
@@ -472,6 +474,21 @@ elif option=='Prophet':
                             "text/csv",
                             key='download-csv'
                             )
+
+    #------------------------------------------Tab-3--------------------------------------------------
+        train_a=fb_train_data.loc[fb_train_data[item]==1][['date','y']]
+        train_a['store']=1
+        train_a['item']=item
+        train_a.rename({'y':'sales'})
+        test_a=fb_test_data.loc[fb_test_data[item]==1][['date','y']]
+        test_a['store']=1
+        test_a['item']=item
+        test_a.rename({'y':'sales'})
+        actual_final_data=pd.concat([train_a,test_a])
+        tab3.dataframe(actual_final_data,width=500)
+   
+
+        
     except:
         st.sidebar.error('Model Not Loaded successfully!',icon="🚨")