prueba de concepto de multi bullets + scatter

para fusionar nuestras dos secciones en una sola, más informativa.

dinamyc.py

@@ -8,6 +8,61 @@ import numpy as np
 import flask
 import flask
 import test_ch_2_b
 import test_ch_2_b
 
 
+def update_cobertura_series(etapaSel=1, min_comidas=10, min_glucosa=7):
+    gauges = {
+            'shape': "bullet",
+            'axis': {'range': [None, 100]},
+            'steps': [
+                {'range': [0, 25], 'color': "lightcyan"},
+                {'range': [25, 50], 'color': "lightblue"},                
+                {'range': [50, 75], 'color': "skyblue"},
+                {'range': [75, 100], 'color': "steelblue"}],            
+            'bar': {'color': "blue"},
+        }
+    numbers = { 'suffix':'%', 'valueformat':'.2f'}
+    modes = "number+gauge"
+
+    comidas_data = resumen_comidas.loc[(slice(None),f'e{etapaSel}')] > min_comidas
+    glucosa_data = glucometro_df.loc[glucometro_df["visit_id"] == etapaSel, "amount_of_days"] > min_glucosa
+    microbiota_data = num_secuencias[etapaSel-1]
+    glucosa_scatter = glucometro_df.loc[glucometro_df["visit_id"] == etapaSel]["amount_of_days"].sort_values()
+    glucosa_scatter.index =  glucosa_scatter.index.astype(str)
+    
+#    microbiota_data = visitas_datos[etapaSel-1]["muestra"].count()
+# La N de la etapa debe ser el número de participantes que cumplieron la etapa.
+# esto es diferente al número de participantes que asistieron a la visita N o N+1.
+    N_etapa = len(participantes.loc[participantes["finished_periods"].isin(range(etapaSel, 4))].index)
+
+    multi = make_subplots(rows=2, cols=1, specs=[[{"type":"indicator"}],[{}]])
+    multi.add_trace(go.Indicator(
+       value = 100 * comidas_data.sum() / N_etapa,
+        domain = {'x': [0.25, 1], 'y': [0.70, 0.8]},
+        title = {'text': "Comidas"},
+        mode = modes,
+        number = numbers,
+        gauge = gauges,
+    ))
+    multi.add_trace(go.Indicator(
+        value = 100 * glucosa_data.sum() / N_etapa,
+        domain = {'x': [0.25, 1], 'y': [0.9, 1.0]},
+        title = {'text': "Glucómetro"},
+        mode = modes,
+        number = numbers,
+        gauge = gauges
+    ))
+    multi.add_trace(go.Indicator(
+        value = 100 * microbiota_data / N_etapa,
+        domain = {'x': [0.25, 1], 'y': [0.5, 0.6]},
+        title = {'text': "Microbiota"},
+        mode = modes,
+        number = numbers,
+        gauge = gauges
+    ))
+    multi.add_trace(
+        go.Scatter(x=glucosa_scatter.index, y=glucosa_scatter)
+
+    )
+    return multi
 
 
 def get_visit_data(visitnumber):
 def get_visit_data(visitnumber):
     url_visitas = url + "/visits/" + str(visitnumber) + "/patients-data"
     url_visitas = url + "/visits/" + str(visitnumber) + "/patients-data"
@@ -95,6 +150,7 @@ app = Dash(__name__, external_stylesheets=external_stylesheets, server=server, u
 app.title = "NutrINDmex. Inventario de datos"
 app.title = "NutrINDmex. Inventario de datos"
 
 
 app.layout = html.Div(children=[
 app.layout = html.Div(children=[
+    html.Div(children=[dcc.Graph(figure=update_cobertura_series())], className="wrapper"),
     #encabezado
     #encabezado
     html.Div(children=[
     html.Div(children=[
         html.P(children="🥑", className="header-emoji"),
         html.P(children="🥑", className="header-emoji"),