April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Chapter 9. Grouping and Aggregating Data
The pandas library provides a flexible and high-performance "groupby" facility that enables you to slice, dice, and summarize data sets. This process follows a pattern known as split-apply-combine. This pattern data is first categorized into groups based on a criteria such as the indexes or values within the columns. Each group is then processed with an aggregation or transformation function, returning a set of data with transformed values or a single aggregate summary for each group. pandas then combines all of these results and presents it in a single data structure.
We will start by seeing how pandas is used to split data. This will start with a demonstration of how to group data both using categorical ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.