You're reading from The Data Visualization Workshop

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800568846

Edition1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Visualization

Authors (2):

Mario Döbler

Tim Großmann

View More author details

Summary

In this chapter, we provided a detailed introduction to Matplotlib, one of the most popular visualization libraries for Python. We started off with the basics of pyplot and its operations, and then followed up with a deep insight into the numerous possibilities that help to enrich visualizations with text. Using practical examples, this chapter covered the most popular plotting functions that Matplotlib offers, including comparison charts, and composition and distribution plots. It concluded with how to visualize images and write mathematical expressions.

In the next chapter, we will learn about the Seaborn library. Seaborn is built on top of Matplotlib and provides a higher-level abstraction to create visualizations in an easier way. One neat feature of Seaborn is the easy integration of DataFrames from the pandas library. Furthermore, Seaborn offers a few more plots out of the box, including more advanced visualizations, such as violin plots.

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The Data Visualization Workshop

Published in: Jul 2020Publisher: PacktISBN-13: 9781800568846

Authors (2)

Mario Döbler

Mario Döbler is a Ph.D. student with a focus on deep learning at the University of Stuttgart. He previously interned at the Bosch Center for artificial intelligence in the Silicon Valley in the field of deep learning. He used state-of-the-art algorithms to develop cutting-edge products. In his master thesis, he dedicated himself to applying deep learning to medical data to drive medical applications.
Read more about Mario Döbler

Tim Großmann

Tim Großmann is a computer scientist with interest in diverse topics, ranging from AI and IoT to Security. He previously worked in the field of big data engineering at the Bosch Center for Artificial Intelligence in Silicon Valley. In addition to that, he worked on an Eclipse project for IoT device abstractions in Singapore. He's highly involved in several open-source projects and actively speaks at tech meetups and conferences about his projects and experiences.
Read more about Tim Großmann

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