Numerical Computing with Python

Plot.ly-based backend

Lastly, we will talk about Plot.ly, which is a D3.js-based interactive graphing library with many programming language bindings, including Python. Plot.ly has quickly gained traction in the area of online data analytics due to its powerful data dashboard, high performance, and detailed documentation. For more information, please visit Plot.ly's website (https://plot.ly).

Plot.ly offers easy transformation of Matplotlib figures into online interactive charts through its Python bindings. To install Plotly.py, we can use PyPI:

pip install plotly

Let us show you a quick example of integrating Matplotlib with Plot.ly:

import matplotlib.pyplot as pltimport numpy as npimport plotly.plotly as pyfrom plotly.offline import init_notebook_mode, ...