Plot options not applied when changed interactively

Hi everyone,

I currently have the problem that I cannot change the options of my plot through interactivity with parambokeh. An example code is as follows:

def density_view(det_den, ran, main_axes=1):
    nature_list = ['All'] + list(ran.to_dict()['name'].values())
    curr_den = np.swapaxes(det_den, 1, main_axes)
    
    class DensityView(Stream):
        slider1 = param.Integer(default=10, bounds=(0, np.shape(curr_den)[main_axes]-1))
        colormap1 = param.ObjectSelector(default="gray", objects=["gray", "jet", "fire"])
        nature = param.ObjectSelector(default="All", objects=nature_list)
        cbar = param.Boolean(True)

        def view(self, xrange=None, yrange=None, **kwargs):
            nature_index = nature_list.index(str(self.nature)) - 1
            curr_density = curr_den[nature_index, :, :, :] 
            
            options = dict(colorbar=self.cbar, xaxis=None, yaxis=None, cmap=str(self.colormap1))
            im = hv.Image(np.squeeze(curr_density[self.slider1, :,:])).opts(plot=options)
            return im
    return DensityView()  

So, when I change the cmap param or cbar param, it does not change interactively. I have to replot for seeing the change, whereas the slider and nature params are interactive.

Plotting is started like this:

det_explorer = density_view(det_density, ran)
parambokeh.Widgets(det_explorer, callback=det_explorer.event)
hv.DynamicMap(det_explorer.view, streams=[det_explorer])

Backend is matplotlib.

Versions: param – 1.6.1 parambokeh – 0.2.2 matplotlib – 2.2.2 holoviews – 1.10.7

Please tell me if you need more information.

[philippjfr]

I’d strongly recommend looking into http://panel.pyviz.org which is an infinitely superior replacement for parambokeh.

[MHC03]

Here I have found out that this problem mostly occurs in matplotlib. So, in matplotlib no option change is dynamic, in bokeh almost all are dynamic except options like activating/deactivating cbar.

Example:

Code:

import param
import numpy as np
import holoviews as hv
import parambokeh
from holoviews.streams import Stream
hv.notebook_extension('bokeh', 'matplotlib', logo=False)

image = np.random.randn(4, 4, 4)

class Options(Stream):
    given_cmap = param.ObjectSelector(default='gray', objects=['gray', 'jet', 'fire'])
    given_cbar = param.Boolean(False)
    
def show(given_cmap='gray', given_cbar=False):
    return hv.Image(image).options(cmap=given_cmap, colorbar=given_cbar)

# %%output backend='matplotlib'
option_stream = Options()
parambokeh.Widgets(option_stream, callback=option_stream.event)
hv.DynamicMap(show, streams=[option_stream])