Version 1 fix

app.py

@@ -181,6 +181,7 @@ def sales_growth(dataframe, fittedValues):
 
 @st.cache_data
 def merge_forecast_data(historical, test, future):
+    historical = historical.to_frame()
     historical.rename(columns={historical.columns[0]: "Actual Sales"}, inplace=True)
     test = test.to_frame()
     test.rename(columns={test.columns[0]: "Predicted Sales"}, inplace=True)
@@ -275,6 +276,7 @@ with st.sidebar:
        st.download_button("Download our sample CSV", f, file_name='sample.csv')
 
 if (st.session_state.uploaded):
+  st.subheader("Sales History")
   st.line_chart(series)
   
   MIN_DAYS = 30
@@ -305,12 +307,6 @@ if (st.session_state.uploaded):
     lower_series = pd.Series(confint[:, 0], index=index_of_fc)
     upper_series = pd.Series(confint[:, 1], index=index_of_fc)
 
-    # plt.plot(df['Sales'], color='b', label = 'Actual Sales')
-    # plt.plot(test_y, color='b')
-    # plt.plot(fitted_series, color='r', label = 'Predicted Sales')
-    # plt.title("SARIMAX - Forecast of Auto Business Retail Sales VS Actual Sales")
-    # plt.legend(loc='upper left', fontsize=8)
-
     #Future predictions
     frequency = '3D'
     future_fitted, confint = train_test_model.predict(X=df.iloc[-future_n_periods:,1:], n_periods=future_n_periods, return_conf_int=True, freq=frequency)
@@ -322,7 +318,12 @@ if (st.session_state.uploaded):
     future_lower_series = pd.Series(confint[:, 0], index=future_index_of_fc)
     future_upper_series = pd.Series(confint[:, 1], index=future_index_of_fc)
 
-    # TODO Plot Future
+    # Plot
+    # plt.plot(df['Sales'], color='b', label = 'Actual Sales')
+    # plt.plot(test_y, color='b')
+    # plt.plot(fitted_series, color='r', label = 'Predicted Sales')
+    # plt.title("SARIMAX - Forecast of Auto Business Retail Sales VS Actual Sales")
+    # plt.legend(loc='upper left', fontsize=8)
     # plt.plot(future_fitted_series, color='darkgreen', label ='Future Forecasted Sales')
     # plt.fill_between(future_lower_series.index,
     #                  future_lower_series,
@@ -343,7 +344,7 @@ if (st.session_state.uploaded):
        merged_data = merge_forecast_data(df['Sales'], fitted_series, future_fitted_series)
        col[0].line_chart(merged_data)
     with col[1]:
-       col[1].subheader("Forecasted sales in x days")
+       col[1].subheader(f"Forecasted sales in the next {period} days")
        col[1].write(df)
     st.session_state.forecasted = True