April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Modifying the structure and content of DataFrame
The structure and content of a DataFrame can be mutated in several ways. Rows and columns can be added and removed, and data within either can be modified to take on new values. Additionally, columns, as well as index labels, can also be renamed. Each of these will be described in the following sections.
Renaming columns
A column can be renamed using the .rename() method of the DataFrame. The Book Value column is inconvenient since it has a space, so we will rename it to BookValue:
In [48]: # rename the Book Value column to not have a space # this returns a copy with the column renamed df = sp500.rename(columns= {'Book Value': 'BookValue'}) # print first 2 rows df[:2] Out[48]: Sector Price ...
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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.