ajuste en el tipo de dato para heatmap

True/False es interpretado como 0/255, así que explícitamente lo
convertía entero  (0/1). Nota: en go.Heatmap no se hace interpretación
de datos, así que True/False no funciona.

dinamyc.py

@@ -344,7 +344,7 @@ def update_por_prueba(visita):
         "biochemical" :["hba1c", "glucose", "ct", "tag", "ldl", "hdl", "pcr","alt", "ast","homa", "insuline" ],
         "biochemical" :["hba1c", "glucose", "ct", "tag", "ldl", "hdl", "pcr","alt", "ast","homa", "insuline" ],
         "antropometric" : ["imc", "weight", "waist_circumference"]
         "antropometric" : ["imc", "weight", "waist_circumference"]
     }
     }
-    heatmap = df1.notna()
+    heatmap = df1.notna().astype(int)
     colorscale = [[0, 'gold'], [1,'mediumturquoise']]
     colorscale = [[0, 'gold'], [1,'mediumturquoise']]
     columnas = [ test  for protocolo in protocolos.keys() for test in protocolos[protocolo]]
     columnas = [ test  for protocolo in protocolos.keys() for test in protocolos[protocolo]]
     lista = list(set(df1.columns).intersection(set(columnas)))
     lista = list(set(df1.columns).intersection(set(columnas)))