eliminación de la grafica 'detalle de visitas'

la información se muestra de mejor manera en otras gráficas ahora.

dinamyc.py

@@ -204,26 +204,6 @@ app.layout = html.Div(children=[
         ], style={"display":"flex", "flexDirection": "row"},),
         dcc.Graph(id="datos_por_paciente"),
     ], className="wrapper"),
-    # cobertura de visitas
-    html.Div(children=[
-        html.H1("Detalle de visitas", className="header-title2"),
-        html.P("..en construcción..", style={"color":"red", "font-style":"italic"}),
-        html.Div(children="Visita", className="menu-title"),
-        dcc.Dropdown(
-            id="visitaSel",
-            options=[
-                {"label":1, "value":1},
-                {"label":2, "value":2},
-                {"label":3, "value":3},
-                {"label":4, "value":4}
-            ],
-            value=1,
-            clearable=False,
-            searchable=False,
-            className="dropdown",
-        ),
-        dcc.Graph(id="multi-visitas"),
-    ], className="wrapper",),
     # cobertura de pacientes por prueba. working.
     html.Div(children=[
         html.H1("Cobertura de pacientes por protocolo.", className="header-title2"),
@@ -397,81 +377,12 @@ def update_por_protocolo(visita):
     return figura
 
 @app.callback(
-    Output("multi-visitas", "figure"),
     Output("mesurables", "figure"),                
-    Input("visitaSel", "value"),
     Input("mesurableEt", "value"),            
 
 )
-def update_charts( visitaSel,  mesurableEt):
+def update_charts(mesurableEt):
     contados = {}
-    total_data = len(data.index)
-
-    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"
-    
-
-    
-
-    multiV = go.Figure()
-
-    for medicion in esperados.keys():
-        contados[medicion] = len(data.loc[data[medicion + str(visitaSel)] > 0])
-    
-    multiV.add_trace(go.Indicator(
-        value = 100 * contados["antrop-mets"] / Total_incluidos,
-        domain = {'x': [0.25, 1], 'y': [0.90, 1]},
-        title = {'text': "Antropometría"},
-        mode = modes,
-        number = numbers,
-        gauge = gauges,
-    ))
-
-    multiV.add_trace(go.Indicator(
-        value = 100 * contados["quimica-S"] / Total_incluidos,
-        domain = {'x': [0.25, 1], 'y': [0.80, 0.9]},
-        title = {'text': "QS"},
-        mode = modes,
-        number = numbers,
-        gauge = gauges,
-    ))
-
-    multiV.add_trace(go.Indicator(
-        value = 100 * contados["physiological"] / Total_incluidos,
-        domain = {'x': [0.25, 1], 'y': [0.7, 0.8]},
-        title = {'text': "Fisiológicos"},
-        mode = modes,
-        number = numbers,
-        gauge = gauges,
-    ))
-
-    multiV.add_trace(go.Indicator(
-        value = 100 * contados["comp-corp"] / Total_incluidos,
-        domain = {'x': [0.25, 1], 'y': [0.6, 0.7]},
-        title = {'text': "C.Corporal"},
-        mode = modes,
-        number = numbers,
-        gauge = gauges,
-    ))
-
-    multiV.add_trace(go.Indicator(
-        value = 100 * contados["tolerancia"] / Total_incluidos,
-        domain = {'x': [0.25, 1], 'y': [0.5, 0.6]},
-        title = {'text': "Curvas de Tolerancia"},
-        mode = modes,
-        number = numbers,
-        gauge = gauges,
-    ))    
 
     
 
@@ -504,7 +415,7 @@ def update_charts( visitaSel,  mesurableEt):
         }
     }
     
-    return     multiV,  mesurables
+    return mesurables
 
 
 if __name__ == "__main__":