Matthew Sundquist: The Possibilities Of Plotting With pandas and IPython
PyData Seattle 2015 A wave of complimentary new tools allow developers to quickly access, analyze, and plot data. IPython Notebooks let you harness these libraries and code in a web-based, language agnostic Notebook. Pandas lets you wrangle your data. And matplotlib, ggplot for Python, Plotly, bokeh, and Seaborn let you make beautiful, interactive plots. This talk shows how to use and deploy these tools together. A new wave of Python libraries enable interactive, scientific figures, and web shareability. From Python we can access and manipulate data with pandas, make 2D, 3D, and live-streaminβ¦