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... or matplotlib?

• IanCal 11y ago
  Does matplotlib let you put interactive visualisations in iPython notebooks?
  • jre 11y ago
    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/ http://vispy.org/ [2] http://www.almarklein.org/future_vis.html http://www.almarklein.org/future_vis.html
    • JupiterMoon 11y ago
      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.
  • pmedwards 11y ago
    Yes, you can use the nbagg backend [1]. [1] http://matplotlib.org/users/whats_new.html#the-nbagg-backend http://matplotlib.org/users/whats_new.html#the-nbagg-backend
  • JupiterMoon 11y ago
    You can easily place the matplotlib plot in a widget and e.g. one can allow the user to control it with sliders and input boxes etc.