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...
- 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
- Load the weather data and plot it as follows:
df = data.Weather.load() df = df[['TEMP', 'WIND_SPEED']] df = ts.groupby_yday(df).mean() ...
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