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Get Plotly Tutorial Jupyter Pictures. Jupyter notebook tutorial on how to install, run, and use jupyter for interactive matplotlib plotting, data analysis, and publishing code. I have installed the python 3 version.

In this tutorial, i will cover some use cases and examples of interactive data note that pandas has already some interactive backend options including plotly and bokeh.
This jupyter notebook condenses the plotly api into one easy to use document with examples. First we'll start out like normal by importing necessary plotly modules as well as numpy and pandas. You can use plotly's python api to plot inside your jupyter notebook by calling plotly.plotly.iplot() or plotly.offline.iplot() if. Plotly is a charting module for python.
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