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
 
@@ -35,7 +34,7 @@ predefined_colors = [
 st.sidebar.header("Configuración del Gráfico")
 
 # Tipo de gráfico
-chart_type = st.sidebar.selectbox("Tipo de Gráfico", ["Línea", "Barras", "Dispersión", "Área", "Pastel", "Doughnut", "Scatter", "Bar Horizontal", "Radar", "Time Line"])
+chart_type = st.sidebar.selectbox("Tipo de Gráfico", ["Línea", "Barras", "Dispersión", "Área", "Pastel"])
 
 # Ingresar valores para los ejes
 x_values = st.sidebar.text_area("Valores para X (separados por comas)", "2013,2014,2015,2016,2017,2018")
@@ -116,45 +115,12 @@ else:
         fig = px.pie(data, values="Y", names="X", title="Gráfico de Pastel", hover_name="Nombre" if names else None)
         if not use_multiple_colors:
             fig.update_traces(marker=dict(colors=[color]*len(x)))
-    elif chart_type == "Doughnut":
-        fig = px.pie(data, values="Y", names="X", title="Doughnut Chart", hole=0.4, hover_name="Nombre" if names else None)
-        if not use_multiple_colors:
-            fig.update_traces(marker=dict(colors=[color]*len(x)))
-    elif chart_type == "Scatter":
-        fig = px.scatter(data, x="X", y="Y", title="Scatter Plot", hover_name="Nombre" if names else None)
-        if not use_multiple_colors:
-            fig.update_traces(marker_color=color)
-    elif chart_type == "Bar Horizontal":
-        fig = px.bar(data, x="Y", y="X", title="Bar Chart Horizontal", orientation='h', hover_name="Nombre" if names else None)
-        if not use_multiple_colors:
-            fig.update_traces(marker_color=color, marker_line_color=border_color, marker_line_width=1.5)
-        fig.update_layout(bargap=0.2)  # Ajustar el espacio entre las barras
-    elif chart_type == "Radar":
-        fig = go.Figure()
-        fig.add_trace(go.Scatterpolar(
-            r=y,
-            theta=x,
-            fill='toself',
-            name='Radar Chart',
-            line=dict(color=color)
-        ))
-        fig.update_layout(
-            polar=dict(
-                radialaxis=dict(visible=True, range=[y_min, y_max])
-            ),
-            showlegend=False
-        )
-    elif chart_type == "Time Line":
-        data['X'] = pd.to_datetime(data['X'], format='%Y')  # Ajustar el formato de fecha según tus datos
-        fig = px.line(data, x='X', y='Y', title='Time Line', hover_name="Nombre" if names else None)
-        if not use_multiple_colors:
-            fig.update_traces(line_color=color)
     
     # Aplicar configuración común
     fig.update_layout(**common_layout)
     
     # Configuraciones específicas para gráficos no circulares
-    if chart_type not in ["Pastel", "Doughnut", "Radar"]:
+    if chart_type != "Pastel":
         fig.update_layout(
             xaxis=dict(categoryorder="category ascending"),
             yaxis=dict(range=[y_min, y_max], zeroline=True)
@@ -162,18 +128,14 @@ else:
         fig.update_yaxes(nticks=20)
     
     # Aplicar múltiples colores si se seleccionó la opción
-    if use_multiple_colors:
-        if chart_type in ["Barras", "Bar Horizontal"]:
-            fig.update_traces(marker_color=colors, marker_line_color=border_colors, marker_line_width=1.5)
-        elif chart_type in ["Pastel", "Doughnut"]:
-            fig.update_traces(marker=dict(colors=colors))
-        elif chart_type == "Radar":
-            for i, trace in enumerate(fig.data):
-                trace.update(line=dict(color=colors[i]))
+    if use_multiple_colors and chart_type != "Pastel":
+        fig.update_traces(marker_color=colors, marker_line_color=border_colors, marker_line_width=1.5)
+    elif use_multiple_colors and chart_type == "Pastel":
+        fig.update_traces(marker=dict(colors=colors))
     
     # Mostrar el gráfico
     st.plotly_chart(fig)
 
 # Información adicional
 st.write("""
-""")
+""")