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The Data Visualization Workshop

You're reading from   The Data Visualization Workshop A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800568846
Length 536 pages
Edition 1st Edition
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Authors (2):
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Mario Döbler Mario Döbler
Author Profile Icon Mario Döbler
Mario Döbler
Tim Großmann Tim Großmann
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Tim Großmann
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Toc

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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