June 2015
Beginner to intermediate
292 pages
6h 16m
English
Content preview from Mastering MatplotlibBecome 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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Chapter 5. High-level Plotting and Data Analysis
A significant aspect of gaining matplotlib mastery is familiarizing oneself with the use of the other Python tools in the scientific programming ecosystem. Libraries such as NumPy, SciPy, Pandas, or SymPy are just the beginning. The tools available in the community cover an enormous amount of ground, entailing the spectrum of many fields and subspecialties. Projects such as scikit-learn, AstroPy, h5py, and so on, build upon the foundations provided by others, thus being able to provide more functionality quicker than, if they had to start from scratch themselves.
Those who may want to look more deeply into these and other tools may benefit from a guided tour into one area that could serve as a template ...
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