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Earlier this week a tweet made the rounds which features a video that nicely demonstrates chaotic dynamical systems in action: A visualization of chaos: 41 triple pendulums with very slightly different initial conditions pic.twitter.com/CTiABFVWHW— Fermat's Library (@fermatslibrary) March 5, 2017…
(Or, Why People Hate Jet – and You Should Too) I made a little code snippet that I find helpful, and you might too: """Return a grayscale version of the colormap""" cmap = plt.cm.get_cmap(cmap) colors = cmap(np.arange(cmap.N)) # convert RGBA to perceived greyscale luminance # cf.
It's been a few weeks since I introduced mpld3, a toolkit for visualizing matplotlib graphics in-browser via d3, and a lot of progress has been made. I've added a lot of features, and there have also been dozens of pull requests from other users which have made the package much more complete.
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