Update app.py

app.py

@@ -46,9 +46,22 @@ if uploaded_file is not None:
     df_100 = df_050[col_selec]
     df_110 = pd.get_dummies(df_100)
     
+    # Calcular línea base
+    df_linBase = df_110.mean() / df_110.max() * 100
+    df_linBase2 = pd.DataFrame(df_linBase)
+    csv_10 = df_linBase2.to_csv(encoding='iso-8859-1')
+
+    st.download_button(
+        label="Descargar CSV",
+        data=csv_10,
+        file_name='línea_base.csv',
+        mime='text/csv'
+    )
+
+
     st.header('Matriz de correlación de todas las categorías')
     
-    corr_matrix = df_110.corr()
+    corr_matrix = df_110.corr(){}
     plt.figure(figsize=(21, 21))  # Adjust the figure size as needed
     sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt=".2f", linewidths=0.5, annot_kws={'size': 5})
     plt.title('Mapa de Calor de la Correlation de Variables')