September 2018
Intermediate to advanced
472 pages
12h 2m
English
book
Python Data Science Essentials - Third Edition
by Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti
Content preview from Python Data Science Essentials - Third Edition
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Wrapping up matplotlib's commands
As we have seen in the previous paragraph, pandas can speed up exploring data visually since it wraps up into single commands what would have required an entire code snippet using matplotlib. The idea behind this is that unless you need to tailor and configure a special visualization, using a wrapper can allow you to create standard graphics faster.
Apart from pandas, other packages assemble low-level instructions from matplotlib into more user-friendly commands for specific representations and usage:
- Seaborn is a package that extends your visualization capabilities by providing you with a set of statistical plots useful for finding out trends and discriminating groups
- ggplot is a port of a popular R library, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.