Update app.py

app.py

@@ -140,20 +140,28 @@ def grafico_univariado(var, genero, localidades, compromiso_renal, antecedentes)
 # Gráfico bivariado
 def grafico_bivariado(x, y, genero, localidades, compromiso_renal, antecedentes):
     df = aplicar_filtros(data, genero, localidades, compromiso_renal, antecedentes)
-    if df.empty:
+    if df.empty or x not in df.columns or y not in df.columns:
         return None
     plt.figure(figsize=(6, 4))
-    if df[x].dtype == 'object' or df[y].dtype == 'object':
-        sns.countplot(data=df, x=x, hue=y)
-    else:
+    if pd.api.types.is_numeric_dtype(df[x]) and pd.api.types.is_numeric_dtype(df[y]):
         sns.scatterplot(data=df, x=x, y=y)
+    elif pd.api.types.is_numeric_dtype(df[x]) and not pd.api.types.is_numeric_dtype(df[y]):
+        sns.boxplot(data=df, x=y, y=x)
+        plt.xticks(rotation=30)
+    elif pd.api.types.is_numeric_dtype(df[y]) and not pd.api.types.is_numeric_dtype(df[x]):
+        sns.boxplot(data=df, x=x, y=y)
+        plt.xticks(rotation=30)
+    else:
+        orden_x = df[x].value_counts().index
+        sns.countplot(data=df, x=x, hue=y, order=orden_x)
+        plt.xticks(rotation=30)
     plt.title(f"{x} vs {y}")
-    path = f"bi_{x}_{y}.png"
     plt.tight_layout()
+    path = f"bi_{x}_{y}.png"
     plt.savefig(path)
     plt.close()
     return path
-
+    
 # Interfaz
 def lanzar_app():
     with gr.Blocks() as demo: