October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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pandas styling
pandas allow for a wide variety of operations to be performed on DataFrames, making it easier to handle structured data. Another intriguing property of DataFrames is that they allow us to format and style regular rows and columns in tabular data. These styling properties help enhance the readability of tabular data. The Dataframe.style method returns a Styler object. Any formatting to be applied before displaying a DataFrame can be applied over this Styler object. Styling can be done either with in-built functions that have predefined rules for formatting or with user-defined rules.
Let's consider the following DataFrames so that we can take a look at pandas' styling properties:
df = pd.read_csv("titanic.csv")
df
The following ...
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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.