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I found those two answers: Animated graphs in ipython notebook , How to grab matplotlib plot as html in ipython notebook?
But they don't address interactivity. I would like to display a plot with 2-3 curves and let the user hover those curves to receive more details or control the parameters that are used to generate those curves from a combo-box
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Jupyter Notebook - Big Data Visualization Tool IPython kernel of Jupyter notebook is able to display plots of code in input cells. It works seamlessly with matplotlib library. The inline option with the %matplotlib magic function renders the plot out cell even if show() function of plot object is not called.
IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history.
In the IPython notebook, you also have the option of embedding graphics directly in the notebook, with two possible options: %matplotlib notebook will lead to interactive plots embedded within the notebook.
check the following answer at iPython: Manipulate-like command.
as well as the two following directions:
interact/ive as motivated in IPython - The Attributes ofSoftware and How They Affect Our Work - Brian Granger near 32m:12s; and available at IPython's github
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