version 1.1

app.py

@@ -351,7 +351,6 @@ if (st.session_state.uploaded):
     future_upper_series = pd.Series(confint[:, 1], index=future_index_of_fc)
 
     future_sales_growth = sales_growth(df, future_fitted_series)
-    df = dates_df(future_sales_growth)
 
     test_y, predictions = np.array(test_y), np.array(fitted)
     score = forecast_accuracy(predictions, test_y)
@@ -359,18 +358,12 @@ if (st.session_state.uploaded):
     
     df = df.set_index('Date')
     merged_data = merge_forecast_data(df['Sales'], fitted_series, future_fitted_series)
-    merged_data_dates = merged_data.copy()
-    merged_data_dates[merged_data_dates.columns[0]] = pd.to_datetime(merged_data_dates[merged_data_dates.columns[0]])
 
     col_charts = st.columns(2)
 
-    print(merged_data)
+    print(merged_data) # debug
     print(merged_data.info)
     print(merged_data.dtypes)
-    print(merged_data[merged_data.columns[0]]) # for debugging
-    print(merged_data[merged_data.columns[0]].info) # for debugging
-    print(merged_data_dates[merged_data.columns[0]]) # for debugging
-    print(merged_data_dates.info)
     min_date = merged_data_dates[merged_data_dates.columns[0]].min()
     max_date = merged_data_dates[merged_data_dates.columns[0]].max()
     with col_charts[0]:
@@ -390,6 +383,8 @@ if (st.session_state.uploaded):
       st.plotly_chart(fig_forecast, use_container_width=True)
       st.write(f"MAPE score: {mape}% - {interpretation}")
 
+    df = dates_df(future_sales_growth)
+
     col_table = st.columns(2)
     with col_table[0]:
       col_table[0].subheader(f"Forecasted sales in the next {period} days")