How to update Holoviews plot layout dynamically in Jupyter Notebook? - jupyter-notebook

Question

I would like to work in Jupyter Notebook though the project with one plot. Update it with a new data or new layout, maybe add/delete additional plot nearby it and so on… In Bokeh I could use smth similar to:
target = show(layout, notebook_handle=True)
push_notebook(handle=target)
In Holoviews I found how to feed new data to the existing plot:
pipe = Pipe(data=[])
Image = hv.DynamicMap(hv.Image, streams=[pipe1])
pipe.send(np.random.rand(3,2)) #data change
But is there any solution to manage live layout update in Holoviews? Is it possible to update existed plot by .opts() construction? In this example I will get a new plot:
pipe = Pipe(data=[])
Image = hv.DynamicMap(hv.Image, streams=[pipe])
Image.opts(width=1000,height=1000)
#######new cell in jupyter notebook############
Image.opts(width=100,height=100)

Answer 1

Here is a brilliant answer I have got on my question:
import param
import panel as pn
import numpy as np
import holoviews as hv
from holoviews.streams import Pipe
pn.extension()
pipe = Pipe(data=[])
class Layout(param.Parameterized):
colormap = param.ObjectSelector(default='viridis', objects=['viridis', 'fire'])
width = param.Integer(default=500)
update_data = param.Action(lambda x: x.param.trigger('update_data'), label='Update data!')
#param.depends("update_data", watch=True)
def _update_data(self):
pipe.send(np.random.rand(3,2))
layout = Layout()
Image = hv.DynamicMap(hv.Image, streams=[pipe]).apply.opts(cmap=layout.param.colormap, width=layout.width)
pdmap = pn.panel(Image)
playout = pn.panel(layout)
def update_width(*events):
for event in events:
if event.what == "value":
pdmap.width = event.new
layout.param.watch(update_width, parameter_names=['width'], onlychanged=False)
pn.Row(playout, pdmap)
https://discourse.holoviz.org/t/how-to-update-holoviews-plots-width-height/1947