muestra de existencia de pruebas como un heatmap

dinamyc.py

@@ -344,21 +344,12 @@ 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"]
     }
     }
-    figura = make_subplots(rows=2, cols=3, vertical_spacing=0.25)
-    for protocolo in protocolos.keys():
-        columnas = list(set(df1.columns).intersection(set(protocolos[protocolo])))
-        cuentas = 100 * df1[columnas].replace("",np.nan).count() / len(df1)
-        figura.add_trace(
-            go.Bar(x=cuentas.index, y=cuentas, textposition='auto', text=cuentas),
-            row = lrow,
-            col = lcol,
-        )
-        lcol = lcol + 1
-        if lcol > 3:
-            lcol = 1
-            lrow = lrow + 1
-    figura.update_layout(showlegend=False)
-    figura.update_traces(texttemplate='%{text:.2s}', textposition='auto')
+    heatmap = df1.notna()
+    colorscale = [[0, 'gold'], [1,'mediumturquoise']]
+    columnas = [ test  for protocolo in protocolos.keys() for test in protocolos[protocolo]]
+    lista = list(set(df1.columns).intersection(set(columnas)))
+    figura = px.imshow(heatmap[lista], color_continuous_scale=colorscale)
+    figura.update_layout(dict(coloraxis_showscale=False))
     return figura
     return figura