app.py

from bokeh.plotting import figure
from bokeh.layouts import row
from bokeh.models import ColumnDataSource
import pandas as pd
import panel as pn
from bokeh.models import NumeralTickFormatter
from bokeh.models.widgets import  Select
from bokeh.models import FactorRange
import panel as pn

taller = pd.read_excel("./taller.xlsx") 
taller 
taller["x"]= taller.apply(lambda row: (row["Cliente"], row["Tipo"]), axis=1 )
x_range= FactorRange(*taller["x"])


source = ColumnDataSource(taller)
options = [("total","Total") , ("porcentaje", "Porcentaje")]
select= Select(options=options, title="Seleccione una opcion")
p = figure(x_range= x_range, sizing_mode="scale_width")
bars= p.vbar(source=source, x="x", bottom=0, top="Reparaciones", width=0.8)
layout= row([select, p], sizing_mode="stretch_both")



def update_graph(attr, old, new):
    global bars
    p.renderers.remove(bars)
    if new == "total":
          bars= p.vbar(source=source, x="x", bottom=0, top="Reparaciones", width=0.8)
          y_formatter= NumeralTickFormatter(format="0,0")
          p.yaxis.formatter= y_formatter
    elif new =="porcentaje":
          bars= p.vbar(source=source, x="x", bottom=0, top="Porcentaje", width=0.8)
          y_formatter= NumeralTickFormatter(format="0%")
          p.yaxis.formatter= y_formatter


select.on_change("value",update_graph)

bokeh_panel =  pn.pane.Bokeh(layout)
bokeh_panel.servable()