Update app.py

app.py

@@ -1,6 +1,5 @@
 import streamlit as st
 import plotly.express as px
-import plotly.graph_objects as go
 import pandas as pd
 import numpy as np
 
@@ -43,31 +42,22 @@ st.sidebar.header("Configuración del Gráfico")
 # Título del gráfico
 chart_title = st.sidebar.text_input("Título del Gráfico", "Generador de Gráfico")
 
-# Tipo de gráfico
-chart_type = st.sidebar.selectbox("Tipo de Gráfico", ["Línea", "Área", "Dispersión", "Barras", "Donut", "Radar"])
-
 # Ingresar valores para los ejes
 x_values = st.sidebar.text_area("Valores para X (separados por comas)", "2013,2014,2015,2016,2017,2018")
 x = x_values.split(",")
 
 # Selector de número de variables Y
-if chart_type in ["Línea", "Área", "Dispersión", "Barras", "Donut", "Radar"]:
-    num_y_vars = st.sidebar.number_input("Número de variables Y", min_value=1, max_value=100, value=1, step=1)
-    y_values_list = []
-    y_names_list = []
-    for i in range(num_y_vars):
-        if f"y_values_{i}" not in st.session_state:
-            st.session_state[f"y_values_{i}"] = ','.join([str(np.random.randint(1, 25)) for _ in x])
-        y_values = st.sidebar.text_area(f"Valores para Y-{i+1} (separados por comas)", st.session_state[f"y_values_{i}"])
-        st.session_state[f"y_values_{i}"] = y_values  # Guardar los valores en session_state
-        y_name = st.sidebar.text_input(f"Nombre de la Variable Y-{i+1}", f"Variable Y-{i+1}")
-        y_values_list.append(y_values)
-        y_names_list.append(y_name)
-else:
-    y_values = st.sidebar.text_area("Valores para Y (separados por comas)", "10,18,5,9,12,21")
-    y_name = st.sidebar.text_input("Nombre de la Variable Y", "Variable Y")
-    y_values_list = [y_values]
-    y_names_list = [y_name]
+num_y_vars = st.sidebar.number_input("Número de variables Y", min_value=1, max_value=100, value=1, step=1)
+y_values_list = []
+y_names_list = []
+for i in range(num_y_vars):
+    if f"y_values_{i}" not in st.session_state:
+        st.session_state[f"y_values_{i}"] = ','.join([str(np.random.randint(1, 25)) for _ in x])
+    y_values = st.sidebar.text_area(f"Valores para Y-{i+1} (separados por comas)", st.session_state[f"y_values_{i}"])
+    st.session_state[f"y_values_{i}"] = y_values  # Guardar los valores en session_state
+    y_name = st.sidebar.text_input(f"Nombre de la Variable Y-{i+1}", f"Variable Y-{i+1}")
+    y_values_list.append(y_values)
+    y_names_list.append(y_name)
 
 # Etiquetas personalizadas para los ejes
 x_label = st.sidebar.text_input("Etiqueta para el eje X", "X")
@@ -75,17 +65,19 @@ y_label = st.sidebar.text_input("Etiqueta para el eje Y", "Y")
 
 # Desplegable de opciones adicionales
 with st.sidebar.expander("Opciones Adicionales"):
+    chart_type = st.selectbox("Tipo de Gráfico", ["Línea", "Área", "Dispersión", "Barras", "Donut"])
     graph_width = st.slider("Ancho del Gráfico", min_value=400, max_value=1000, value=800, step=50)
     graph_height = st.slider("Alto del Gráfico", min_value=300, max_value=800, value=600, step=50)
     font_family = st.selectbox("Fuente", font_options, index=font_options.index("Times New Roman"))
     show_legend = st.checkbox("Mostrar Leyenda", value=True)
+    opacity = st.slider("Opacidad (%)", min_value=0, max_value=100, value=30, step=1) / 100
+    border_width = st.slider("Grosor del Borde", min_value=0.0, max_value=3.0, value=1.5, step=0.1)
 
 # Opción para múltiples colores
 use_multiple_colors = st.sidebar.checkbox("Usar múltiples colores")
 
 # Seleccionar color(es) para el gráfico
 selected_color = st.sidebar.color_picker("Color", "#24CBA0", key="single_color")
-opacity = st.sidebar.slider("Opacidad (%)", min_value=0, max_value=100, value=30, step=1) / 100
 
 # Selector de tamaño del agujero para el gráfico de donuts
 if chart_type == "Donut":
@@ -98,11 +90,11 @@ if use_multiple_colors:
     num_colors = max(len(y_values_list), len(x))
     colors = [hex_to_rgba(selected_color if i == 0 else st.sidebar.color_picker(f"Color {i+1}", predefined_colors[i % len(predefined_colors)], key=f"color_{i}"), alpha=opacity)
               for i in range(num_colors)]
-    border_colors = [hex_to_rgba(selected_color if i == 0 else predefined_colors[i % len(predefined_colors)], alpha=0.6)
+    border_colors = [hex_to_rgba(selected_color if i == 0 else predefined_colors[i % len(predefined_colors)], alpha=opacity)
                      for i in range(num_colors)]
 else:
     color = hex_to_rgba(selected_color, alpha=opacity)
-    border_color = hex_to_rgba(selected_color, alpha=0.6)
+    border_color = hex_to_rgba(selected_color, alpha=opacity)
 
 # Procesar valores
 y_values_lists = [[float(i) for i in y_values.split(",") if i.strip()] for y_values in y_values_list]
@@ -165,9 +157,9 @@ else:
         fig.update_traces(hovertemplate=hovertemplate)
         if use_multiple_colors:
             for i, name in enumerate(y_names_list):
-                fig.update_traces(selector=dict(name=name), marker_color=colors[i % len(colors)], marker_line_color=border_colors[i % len(border_colors)])
+                fig.update_traces(selector=dict(name=name), marker_color=colors[i % len(colors)], marker_line_color=border_colors[i % len(border_colors)], marker_line_width=border_width)
         else:
-            fig.update_traces(marker_color=color)
+            fig.update_traces(marker_color=color, marker_line_color=border_color, marker_line_width=border_width)
     elif chart_type == "Barras":
         if num_y_vars > 1:
             if bar_mode == "Normal":
@@ -177,9 +169,9 @@ else:
         else:
             fig = px.bar(data, x="X", y=y_names_list)
             if use_multiple_colors:
-                fig.update_traces(marker_color=colors[:len(x)], marker_line_color=border_colors[:len(x)], marker_line_width=1.5)
+                fig.update_traces(marker_color=colors[:len(x)], marker_line_color=border_colors[:len(x)], marker_line_width=border_width)
             else:
-                fig.update_traces(marker_color=color, marker_line_color=border_color, marker_line_width=1.5)
+                fig.update_traces(marker_color=color, marker_line_color=border_color, marker_line_width=border_width)
         fig.update_traces(hovertemplate=hovertemplate)
         fig.update_layout(bargap=0.2)  # Ajustar el espacio entre las barras
     elif chart_type == "Donut":
@@ -192,43 +184,6 @@ else:
             figs.append(fig)
         for fig in figs:
             st.plotly_chart(fig)
-    elif chart_type == "Radar":
-        fig = go.Figure()
-        
-        for i, y_name in enumerate(y_names_list):
-            fig.add_trace(go.Scatterpolar(
-                r=y_values_lists[i],
-                theta=x,
-                fill='toself',
-                name=y_name,
-                line=dict(color=colors[i % len(colors)] if use_multiple_colors else color)
-            ))
-        
-        # Configuramos el diseño del gráfico
-        fig.update_layout(
-            polar=dict(
-                radialaxis=dict(
-                    visible=True,
-                    range=[0, max(max(y) for y in y_values_lists)],  # Usar el máximo valor como rango
-                    showticklabels=True,
-                    linewidth=1,
-                    gridcolor='lightgray'
-                ),
-                angularaxis=dict(
-                    showticklabels=True,
-                    linewidth=1,
-                    gridcolor='lightgray'
-                )
-            ),
-            showlegend=show_legend,
-            width=graph_width,
-            height=graph_height,
-            font=dict(family=font_family, size=18, color="black"),
-            title=chart_title,
-            margin=dict(l=60, r=40, t=100, b=40),
-        )
-        
-        st.plotly_chart(fig)
 
     # Añadir anotación para el título
     if chart_type not in ["Donut"]:
@@ -260,7 +215,7 @@ else:
         # Aplicar múltiples colores si se seleccionó la opción
         if use_multiple_colors and chart_type not in ["Donut"] and not (chart_type == "Barras" and num_y_vars == 1):
             for i, trace in enumerate(fig.data):
-                trace.update(marker_color=colors[i % len(colors)], marker_line_color=border_colors[i % len(border_colors)], marker_line_width=1.5)
+                trace.update(marker_color=colors[i % len(colors)], marker_line_color=border_colors[i % len(border_colors)], marker_line_width=border_width)
         elif use_multiple_colors and chart_type in ["Donut"]:
             fig.update_traces(marker=dict(colors=colors))