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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

Pyplot Basics

pyplot contains a simpler interface for creating visualizations that allow the users to plot the data without explicitly configuring the Figure and Axes themselves. They are automatically configured to achieve the desired output. It is handy to use the alias plt to reference the imported submodule, as follows:

import matplotlib.pyplot as plt

The following sections describe some of the common operations that are performed when using pyplot.

Creating Figures

You can use plt.figure() to create a new Figure. This function returns a Figure instance, but it is also passed to the backend. Every Figure-related command that follows is applied to the current Figure and does not need to know the Figure instance.

By default, the Figure has a width of 6.4 inches and a height of 4.8 inches with a dpi (dots per inch) of 100. To change the default values of the Figure, we can use the parameters figsize and dpi.

The following code snippet shows how we can manipulate...

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