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You're reading from  Hands-On Data Analysis with Pandas - Second Edition

Product typeBook
Published inApr 2021
Reading LevelIntermediate
PublisherPackt
ISBN-139781800563452
Edition2nd Edition
Languages
Python
Tools
Pandas
Concepts
Databases
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Author (1)
Stefanie Molin
Stefanie Molin
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Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin

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Summary

Now that we've completed this chapter, we are well-equipped to quickly create a variety of visualizations in Python using pandas and matplotlib. We now understand the basics of how matplotlib works and the main components of a plot. Additionally, we discussed various plot types and the situations in which to use them—a crucial component of data visualization is choosing the appropriate plot. Be sure to check out the Choosing the appropriate visualization section in the Appendix for future reference.

Note that the best practices for visualization don't just apply to the plot type, but also to the formatting of the plot, which we will discuss in the next chapter. In addition to this, we will build upon the foundation we laid here to discuss additional plots using seaborn and how to customize our plots using matplotlib. Be sure to complete the end-of-chapter exercises to practice plotting before moving on, as we will be building on this chapter's material...

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Hands-On Data Analysis with Pandas - Second Edition
Published in: Apr 2021Publisher: PacktISBN-13: 9781800563452
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin

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