Update app.py

app.py

@@ -87,22 +87,12 @@ if uploaded_file is not None:
                            line=dict(width=1),
                            showlegend=True
                        ),
-                       go.Scatter(
-                           name=f'auto_arima_season_length-{seasonality}_mean',
-                           x=forecasts_df['ds'],
-                           y=forecasts_df['mean'],
-                           mode='lines',
-                           marker=dict(color='green'),
-                           line=dict(width=1),
-                           showlegend=True
-                       ),
-              
                        go.Scatter(
                            x=np.concatenate([forecasts_df['ds'].values,forecasts_df['ds'].values[::-1]]), # x, then x reversed
                            y=pd.concat([forecasts_df['hi_ci_05'],forecasts_df['low_ci_05'][::-1]]), # upper, then lower reversed
                             fill='toself',
-                            fillcolor='#00CC96',
-                            line=dict(color='#00CC96'),
+                            fillcolor='rgba(63, 232, 39, 0.52)',
+                            line=dict(color='rgba(63, 232, 39, 0.52)'),
                             hoverinfo="skip",
                             showlegend=True
                        ),
@@ -110,14 +100,21 @@ if uploaded_file is not None:
                            x=np.concatenate([forecasts_df['ds'].values,forecasts_df['ds'].values[::-1]]), # x, then x reversed
                            y=pd.concat([forecasts_df['hi_ci_10'],forecasts_df['low_ci_10'][::-1]]), # upper, then lower reversed
                             fill='toself',
-                            fillcolor='#B6E880',
+                            fillcolor='rgba(63, 232, 39, 0.26)',
                             line=dict(color='#00CC96'),
                             hoverinfo="skip",
                             showlegend=True
                        ),
- 
- 
-          ])
+                       go.Scatter(
+                           name=f'auto_arima_season_length-{seasonality}_mean',
+                           x=forecasts_df['ds'],
+                           y=forecasts_df['mean'],
+                           mode='lines',
+                           marker=dict(color='green'),
+                           line=dict(width=1),
+                           showlegend=True
+                       ),
+                        ])
           fig_forecast.update_layout(
                        yaxis_title=series,
                        title=f'Forecasting {series}'