April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Summary
In this chapter, we examined several techniques of combining and reshaping data in one or more DataFrame objects. We started the chapter by examining how to combine data from multiple pandas objects. We saw how to concatenate multiple DataFrame objects both along the row and column axes. We then examined how pandas can be used to perform database-like joins and merges of data based on values in multiple DataFrame objects.
We then examined how to reshape data in DataFrame using pivots, stacking, and melting. We saw how each of these processes provides several variations on how to move data around by changing the shape of the indexes by moving data in and out of indexes.
We then finished the chapter with a brief but important example of how ...
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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.