Update app.py

app.py

@@ -1,4 +1,4 @@
-# Actualizado por: José Carlos Machicao, Fecha de actualización: 2024_06_19
+# Actualizado por: José Carlos Machicao, Fecha de actualización: 2024_06_20
 
 import streamlit as st
 import pandas as pd
@@ -160,9 +160,7 @@ if uploaded_file is not None:
         enfoqueX['HexDens'] = 'Hex_'+str(c)
         enfoques = pd.concat([enfoques, enfoqueX])
         
-    enfoques
-    
-    csv = enfoques.to_csv(encoding='utf-8')
+    csv = enfoques.to_csv(encoding='iso-8859-1')
 
     st.download_button(
         label="Descargar CSV",
@@ -170,4 +168,27 @@ if uploaded_file is not None:
         file_name='hexagonos_densos.csv',
         mime='text/csv'
     )
-        
+    
+    df = enfoques
+    cat_col = df.select_dtypes(include=['object']).columns.tolist()
+    df_dummies = pd.get_dummies(df[cat_col])
+    percentage_presence = df_dummies.mean()*100
+    dfx = df.drop(cat_col, axis=1)
+    mean_values = dfx.mean()/dfx.max()*100
+    result = pd.concat([percentage_presence, mean_values])
+    df2 = pd.DataFrame()
+    df2['a'] = result
+    df2['b'] = result.index
+    df2 = df2.sort_values(by='a', ascending=False)
+    fig3 = px.line_polar(df2, r='a', theta='b')
+    st.plotly_chart(fig3)
+    
+    csv2 = df2.to_csv(encoding='iso-8859-1')
+
+    st.download_button(
+        label="Descargar CSV",
+        data=csv2,
+        file_name='frecuencias_experimento.csv',
+        mime='text/csv'
+    )
+