Debug graphs

app.py

@@ -179,19 +179,29 @@ def sales_growth(dataframe, fittedValues):
     return sales_growth
 
 @st.cache_data
-def merge_forecast_data(actual, predicted, future):
+def merge_forecast_data(actual, predicted, future): # debug
     actual = actual.to_frame()
     actual.rename(columns={actual.columns[0]: "Actual Sales"}, inplace=True)
+    print("ACTUAL")
+    print(actual)
 
     predicted = predicted.to_frame()
     predicted.rename(columns={predicted.columns[0]: "Predicted Sales"}, inplace=True)
+    print("PREDICTED")
+    print(predicted)
 
     future = future.to_frame()
     future = future.rename_axis('Date')
     future.rename(columns={future.columns[0]: "Forecasted Future Sales"}, inplace=True)
+    print("FUTURE")
+    print(future)
 
     merged_dataframe = pd.concat([actual, predicted, future], axis=1)
+    print("MERGED DATAFRAME")
+    print(merged_dataframe)
     merged_dataframe = merged_dataframe.reset_index()
+    print("MERGED DATAFRAME RESET INDEX")
+    print(merged_dataframe)
     return merged_dataframe
 
 @st.cache_data
@@ -353,8 +363,13 @@ if (st.session_state.uploaded):
 
     col_charts = st.columns(2)
 
+    print(merged_data)
+    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]:
@@ -363,11 +378,6 @@ if (st.session_state.uploaded):
       fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Predicted Sales'], mode='lines', name='Predicted Sales'))
       fig_compare.update_layout(title='Historical Sales Data', xaxis_title='Date', yaxis_title='Sales')
       # fig_compare.update_xaxes(range=[min_date, max_date])
-      fig_compare.update_layout(
-        xaxis=dict(
-            range=[min_date, max_date]  # Set the range of x-axis
-        )
-)
       st.plotly_chart(fig_compare, use_container_width=True)
 
     with col_charts[1]:
@@ -377,11 +387,6 @@ if (st.session_state.uploaded):
       fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Forecasted Sales'], mode='lines', name='Forecasted Sales', line=dict(color=mape_color)))
       fig_forecast.update_layout(title='Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
       # fig_forecast.update_xaxes(range=[min_date, max_date])
-      fig_forecast.update_layout(
-        xaxis=dict(
-          range=[min_date, max_date]  # Set the range of x-axis
-        )
-)
       st.plotly_chart(fig_forecast, use_container_width=True)
       st.write(f"MAPE score: {mape}% - {interpretation}")