Download this script from GitHub (right-click to download).

# -*- coding: utf-8 -*-
An example of a simple player widget animating an Image demonstrating
how to connect a simple HoloViews plot with custom widgets and
combine them into a bokeh layout.

The app can be served using:

    bokeh serve --show

import numpy as np
import holoviews as hv

from import curdoc
from bokeh.layouts import layout
from bokeh.models import Slider, Button

renderer = hv.renderer('bokeh')

# Declare the HoloViews object
start = 0
end = 10
hmap = hv.HoloMap({i: hv.Image(np.random.rand(10,10)) for i in range(start, end+1)})

# Convert the HoloViews object into a plot
plot = renderer.get_plot(hmap)

def animate_update():
    year = slider.value + 1
    if year > end:
        year = start
    slider.value = year

def slider_update(attrname, old, new):

slider = Slider(start=start, end=end, value=0, step=1, title="Year")
slider.on_change('value', slider_update)

callback_tasks = {}

def animate():
    if button.label == "► Play":
        button.label = "❚❚ Pause"
        callback_tasks["animate"] = curdoc().add_periodic_callback(animate_update, 400)
        button.label = "► Play"

button = Button(label='► Play', width=60)

# Combine the bokeh plot on plot.state with the widgets
layout = layout([
    [slider, button],
], sizing_mode='fixed')


Download this script from GitHub (right-click to download).