Python Data Analysis Cookbook

Visualizing with d3.js via mpld3

D3.js is a JavaScript data visualization library released in 2011, which we can also use in an IPython notebook. We will add hovering tooltips to a regular matplotlib plot. As a bridge, we need the mpld3 package. This recipe doesn't require any JavaScript coding whatsoever.

Getting ready

I installed mpld3 0.2 with the following command:

$ [sudo] pip install mpld3

How to do it...

1. Start with the imports and enable mpld3:

   %matplotlib inline
   import matplotlib.pyplot as plt
   import mpld3
   mpld3.enable_notebook()
   from mpld3 import plugins
   import seaborn as sns
   from dautil import data
   from dautil import ts

2. Load the weather data and plot it as follows:

   df = data.Weather.load() df = df[['TEMP', 'WIND_SPEED']] df = ts.groupby_yday(df).mean() ...