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Jupyter notebook interactive plot

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Jupyter notebook interactive plot

The new %matplotlib notebook activates the nbagg backend, added in matplotlib 1.4, which will include a javascript interface for interaction with inline figures in the notebook. This only works in IPython 3.x; for older IPython versions, use %matplotlib nbagg

K3D-jupyter is a Jupyter notebook 3D visualization package. The primary aim of K3D is to be an easy tool for 3D visualization. We designed it with native interoperation with existing powerful libraries such as VTK. However, it is not strictly dependent on them. K3D plots are ipywidgets assuring a perfect interaction of a browser side widget ...nbinteract is a Python package that provides a command-line tool to generate interactive web pages from Jupyter notebooks. It allows Jupyter widgets to remain interactive even when the notebook is converted to static HTML by using Binder servers as the computational backend. nbinteract also provides Python functions for simple, interactive plots.Jupyter notebook, Interactive plots, waveforms etc. You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long. 6 CommitsHow to change plot size in Jupyter Notebook. I keep forgetting that and I must google it every time I want to change the size of charts in Jupyter Notebook (which really is, every time). So this is how you do it: 1 2 3. import matplotlib.pyplot as plt plt.rcParams ["figure.figsize"] = (20,10)

Bringing interactivity to network visualization in Jupyter notebooks: visJS2Jupyter. Brin Rosenthal (sbrosenthal at Introduction. Data is everywhere these days, and being able to interact with visual representations of that data in real time can help bring it to life.