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IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

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Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783284818
Length 512 pages
Edition 1st Edition
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Table of Contents (17) Chapters Close

Preface 1. A Tour of Interactive Computing with IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Notebook 4. Profiling and Optimization 5. High-performance Computing 6. Advanced Visualization 7. Statistical Data Analysis 8. Machine Learning 9. Numerical Optimization 10. Signal Processing 11. Image and Audio Processing 12. Deterministic Dynamical Systems 13. Stochastic Dynamical Systems 14. Graphs, Geometry, and Geographic Information Systems 15. Symbolic and Numerical Mathematics Index

Making nicer matplotlib figures with prettyplotlib

matplotlib is sometimes criticized for the default appearance of its figures. For example, the default color maps are neither aesthetically appealing nor do they present perceptually clear information.

There are many attempts to circumvent this problem. In this recipe, we will present prettyplotlib, created by Olga Botvinnik. This lightweight Python library considerably improves the default styling of many kinds of matplotlib figures.

Getting ready

You will find the installation instructions of prettyplotlib on the project's page at http://github.com/olgabot/prettyplotlib. You can basically just do pip install prettyplotlib in a terminal.

How to do it…

  1. Let's first import NumPy and matplotlib:
    In [1]: import numpy as np
            import matplotlib.pyplot as plt
            import matplotlib as mpl
            %matplotlib inline
  2. We then draw several curves with matplotlib:
    In [2]: np.random.seed(12)
            for i in range(8):
                x...
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