Update app.py

app.py

@@ -63,10 +63,10 @@ selected_color = st.sidebar.color_picker("Color", "#24CBA0", key="single_color")
 
 # Definir colores
 if use_multiple_colors:
-    colors = [hex_to_rgba(st.sidebar.color_picker(f"Color {i+1}", predefined_colors[i % len(predefined_colors)], key=f"color_{i}"))
+    colors = [st.sidebar.color_picker(f"Color {i+1}", predefined_colors[i % len(predefined_colors)], key=f"color_{i}")
               for i in range(num_y_vars)]
 else:
-    color = hex_to_rgba(selected_color)
+    color = selected_color
     colors = [color] * num_y_vars  # Definir colors para casos donde no se usa múltiple colores
 
 # Opciones adicionales
@@ -79,15 +79,16 @@ with st.sidebar.expander("Opciones Adicionales"):
 data_list = []
 for idx, (y_name, (start_date, end_date)) in enumerate(y_values.items()):
     if start_date and end_date and y_name:
+        color_with_opacity = hex_to_rgba(colors[idx], opacity)
+        border_color_with_opacity = hex_to_rgba(colors[idx], border_opacity)
         data_list.append({
             'Variable': y_name,
             'Start': datetime.strptime(start_date, '%Y-%m-%d'),
             'End': datetime.strptime(end_date, '%Y-%m-%d'),
             'Category': '' if stacked else y_name,  # Eliminar "Apilado" cuando se apilen las franjas
-            'Color': colors[idx],  # Asignar color a cada variable
-            'Opacity': opacity,
+            'Color': color_with_opacity,  # Asignar color a cada variable con opacidad
             'Border Width': border_width,
-            'Border Color': hex_to_rgba(colors[idx], border_opacity)  # Asignar color del borde con opacidad
+            'Border Color': border_color_with_opacity  # Asignar color del borde con opacidad
         })
 
 data = pd.DataFrame(data_list)
@@ -104,7 +105,7 @@ fig = px.timeline(data, x_start="Start", x_end="End", y="Category", color="Varia
 
 # Actualizar los colores y estilos de las franjas
 for idx, row in data.iterrows():
-    fig.data[idx].update(marker_color=row['Color'], opacity=row['Opacity'])
+    fig.data[idx].update(marker_color=row['Color'])
     fig.data[idx].update(marker_line=dict(width=row['Border Width'], color=row['Border Color']))
 
 # Actualizar el diseño del gráfico