René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Interactive plots in IPython notebooks","articleBody":"I find IPython notebooks a great way to work interactively, and it would be nice if inline plots could be interactive (e.g., letting you zoom, or having tool tips show more information).  With matplotlib, though, inline plots are just images, so they cannot be interactive.\n\nThere's a new plotting library called [Bokeh](http://bokeh.pydata.org), an open-source project led by Continuum Analytics (the wonderful folks that make [Anaconda](http://continuum.io/downloads)), that looks really nice for making interactive plots like this.  I'd like to try making an alternate backend one could specify with, say, `control.set_backend(\"bokeh\")` that would make commands like `bode()` and `nyquist()` generate plots using Bokeh.  The default could still be matplotlib, of course.\n\nAny thoughts or suggestions for other libraries that might be useful for making interactive plots?\n","author":{"url":"https://github.com/cwrowley","@type":"Person","name":"cwrowley"},"datePublished":"2015-03-20T17:55:58.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/50/python-control/issues/50"}