April 2015
Beginner to intermediate
504 pages
8h 36m
English
Content preview from Learning PandasBecome 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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Summary
In this chapter, we examined various techniques for grouping and analyzing groups of data with pandas. An introduction to the split-apply-combine pattern for data analysis is given, along with an explanation of how this pattern is implemented in pandas. We also covered how to make transformations of grouped data and how to filter out groups of data based on results of functions that you can provide to pandas. Finally, we covered how to convert data into discrete intervals and analyze the results.
In the next chapter, we will take what you learned up to this point and get into some of the most interesting capabilities of pandas (at least in my opinion): the analysis of time-series data.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.