indicators basads en parametros. gauges generales. adicion de gauges.

algunas propiedades de los indicators se derivan de los parámetros
generales.

se aplica el dict con propiedades de gauges.

se agregan gauge de reloj y de comidas medibles.

se modifica el tamaño de los gauges para que quepan 10 (más pequeños
no quedan bien en relación con el tamaño de la letra del título del
indicador).

dinamyc.py

@@ -131,46 +131,54 @@ def update_charts(min_comida, min_glucosa, min_visitas):
 
 
     comidas_data = data.query("Selectedfoods >= @min_comida")
     comidas_data = data.query("Selectedfoods >= @min_comida")
     multi.add_trace(go.Indicator(
     multi.add_trace(go.Indicator(
-        mode = "number+gauge", value = comidas_data["medibles"].count(),
-        domain = {'x': [0.25, 1], 'y': [0.8, 0.95]},
-        title = {'text': "Con comidas"},
-        gauge = {
-            'shape': "bullet",
-            'axis': {'range': [None, total_data]},
-            'steps': [
-                {'range': [0, total_data*0.1], 'color': "red"},
-                {'range': [total_data*0.1, total_data*0.75], 'color': "yellow"},
-                {'range': [total_data*0.75, total_data], 'color': "green"}],            
-            'bar': {'color': "blue"}}))
+        value = 100 * comidas_data["medibles"].count() / Total_pacientes,
+        domain = {'x': [0.25, 1], 'y': [0.90, 1]},
+        title = {'text': "Comidas"},
+        mode = modes,
+        number = numbers,
+        gauge = gauges,
+    ))
 
 
     glucosa_data = data.query("Days_glucose >= @min_glucosa") 
     glucosa_data = data.query("Days_glucose >= @min_glucosa") 
     multi.add_trace(go.Indicator(
     multi.add_trace(go.Indicator(
-        mode = "number+gauge", value = glucosa_data["medibles"].count(),
-        domain = {'x': [0.25, 1], 'y': [0.4, 0.6]},
+        value = 100 * glucosa_data["medibles"].count() / Total_pacientes,
+        domain = {'x': [0.25, 1], 'y': [0.8, 0.9]},
         title = {'text': "Glucómetro"},
         title = {'text': "Glucómetro"},
-        gauge = {
-            'shape': "bullet",
-            'axis': {'range': [None, total_data]},
-            'steps': [
-                {'range': [0, total_data*0.1], 'color': "red"},
-                {'range': [total_data*0.1, total_data*0.75], 'color': "yellow"},
-                {'range': [total_data*0.75, total_data], 'color': "green"}],                        
-            'bar': {'color': "blue"}}))
+        mode = modes,
+        number = numbers,
+        gauge = gauges
+    ))
+
+    medibles_data = data.query("medibles >= @min_comida") 
+    multi.add_trace(go.Indicator(
+        value = 100 * medibles_data["medibles"].count() / Total_pacientes,
+        domain = {'x': [0.25, 1], 'y': [0.7, 0.8]},
+        title = {'text': "Comidas/glucómetro"},
+        mode = modes,
+        number = numbers,
+        gauge = gauges
+    ))
+
+    relojes_data = data.query("ConPasos > 0") 
+    multi.add_trace(go.Indicator(
+        value = 100 * relojes_data["medibles"].count() / Total_pacientes,
+        domain = {'x': [0.25, 1], 'y': [0.6, 0.7]},
+        title = {'text': "Reloj"},
+        mode = modes,
+        number = numbers,
+        gauge = gauges
+    ))
     
     
 
 
     visitas_data = data.query("Nvisitas >= @min_visitas") 
     visitas_data = data.query("Nvisitas >= @min_visitas") 
     multi.add_trace(go.Indicator(
     multi.add_trace(go.Indicator(
-        mode = "number+gauge", value = visitas_data["medibles"].count(),
-        domain = {'x': [0.25, 1], 'y':[0.08, 0.25]},
+        value = 100 * visitas_data["medibles"].count() / Total_pacientes,
+        domain = {'x': [0.25, 1], 'y':[0.5, 0.6]},
         title = {'text': "Visitas"},
         title = {'text': "Visitas"},
-        gauge = {
-            'shape': "bullet",
-            'axis': {'range': [None, total_data]},
-            'steps': [
-                {'range': [0, total_data*0.1], 'color': "red"},
-                {'range': [total_data*0.1, total_data*0.75], 'color': "yellow"},
-                {'range': [total_data*0.75, total_data], 'color': "green"}],            
-            'bar': {'color': "blue"}}))    
+        mode = modes,
+        number = numbers,
+        gauge = gauges
+    ))    
 
 
     return   multi
     return   multi