Not really. You can use widgets and redraw when the user changes something, but ...

jre on Oct 8, 2015 | parent | context | favorite | on: Bqplot: Plotting library for IPython/Jupyter Noteb...

Not really. You can use widgets and redraw when the user changes something, but this gets clumsy quickly.

Bokeh allows for interactive visualization though. Vispy[1] does to, by using webgl (but this require a running ipython kernel - so the plot will be static when exported to HTML).

This[2] is an interesting blog post about the future of python plotting/visualization.

[1] http://vispy.org/

[2] http://www.almarklein.org/future_vis.html

JupiterMoon on Oct 8, 2015 [–]

With matplotlib you don't need to redraw the whole plot or even the whole axes you can just change the data and update the relevant artist.