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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
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Authors (2):
Mario Döbler
Mario Döbler
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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
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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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Basic Text and Legend Functions

All of the functions we discuss in this topic, except for the legend, create and return a matplotlib.text.Text() instance. We are mentioning it here so that you know that all of the properties discussed can be used for the other functions as well. All text functions are illustrated in Figure 3.13.

Labels

Matplotlib provides a few label functions that we can use for setting labels to the x- and y-axes. The plt.xlabel() and plt.ylabel() functions are used to set the label for the current axes. The set_xlabel() and set_ylabel() functions are used to set the label for specified axes.

Example:

ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')

You should (always) add labels to make a visualization more self-explanatory. The same is valid for titles, which will be discussed now.

Titles

A title describes a particular chart/graph. The titles are placed above the axes in the center, left edge, or right edge. There are two...

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The Data Visualization Workshop
Published in: Jul 2020Publisher: PacktISBN-13: 9781800568846
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Authors (2)

author image
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

author image
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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