Your example looks good!! I just wanted to answer the last question, we are working on the resize of the canvas currently, so itshould be possible soon. Though I'm not sure it is part of the plan to add a stretch control, but you should be able to control the size through thewidget layout.

Hi! great news that you're working on the resize through widget layout. Now I can stop trying! lol! Although in all seriousness thanks for your work on this packages... I'm really grateful and still excited how jupyter(lab,ipywidgets) and matplotlib has made paperthin all ui-related software for us data scientists and engineers.

As for the example, do that 'looking good' of it mean that hopefully someone will slash my commit to add it on the next release? Or is there more stuff I should do to this process?

Cheers!

I'm happy to work on this package! :)

There's a slightly annoying bug that displays 2 graphs instead of one, before interacting

I saw this bug. Did not take time to look at it yet. Would you mind opening an issue for that if that's not the case already?

Concerning your commit, would you mind removing theTODO help needed section from the Notebook? I don't think it belongs in the example Notebook of the repo. Also, maybe you could make it a separate Notebook? Something likeadvanced.ipynb? Because your example is a bit more code than the other ones before getting a plot displayed on the screen.

I saw this bug. Did not take time to look at it yet. Would you mind opening an issue for that if that's not the case already?

I gave it another thought, from the ipywidgets docs read: "interact autogenerates UI controls" and "interactive returns a Widget instance", so I tried using interactive instead, but didn't redraw the plot, collapsing its space instead.

This is the change: From display to return on the call function, and the interact decorator changes to interactive at the bottom.

    return VBox([plt.figure(1).canvas,HTML(paranoia)])    interactive_plot = interactive(on_value_change, w= IntSlider(description='x range',min=2,max=100,step=1,value=4,continuous_update=False),           x= FloatSlider(description='subplots_adjust(right',min=0.1,max=1,step=0.02,value=0.60,continuous_update=True,style = {'description_width': 'initial'}),           y= FloatSlider(description='offset',min=15,max=60,step=2,value=35,continuous_update=False),           z= IntSlider(description='number of lines',min=2,max=10,step=1,value=6,continuous_update=False,style = {'description_width': 'initial'}))display(interactive_plot )

So I guess interact works better than interactive for now. I haven't looked into the observe method yet.

Lastly I ran the interact code in the console, showing: that the rogue plot is at beginning, pic:
.

So I'm not sure if it's an issue or just me using the wrong tool.