September 2014
Intermediate to advanced
512 pages
12h 39m
English
Content preview from IPython Interactive Computing and Visualization CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Converting matplotlib figures to D3.js visualizations with mpld3
The mpld3 library automatically converts matplotlib figures to interactive D3.js visualizations. In this recipe, we will see how to use this library in the notebook.
Getting ready
To install the mpld3 library, you can just type pip install mpld3 in a terminal. See also the main website at http://mpld3.github.io.
How to do it…
- First, we load NumPy and matplotlib as usual:
In [1]: import numpy as np import matplotlib.pyplot as plt %matplotlib inline - Then, we enable the mpld3 figures in the notebook with a single function call:
In [2]: from mpld3 import enable_notebook enable_notebook() - Now, let's create a scatter plot with matplotlib:
In [3]: X = np.random.normal(0, 1, (100, 3)) color = np.random.random(100) ...
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