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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 Plots

In this section, we are going to go through the different types of simple plots. This includes bar charts, pie charts, stacked bar, and area charts, histograms, box plots, scatter plots and bubble plots. Please refer to the previous chapter to get more details about these plots. More sophisticated plots, such as violin plots, will be covered in the next chapter, using Seaborn instead of Matplotlib.

Bar Chart

The plt.bar(x, height, [width]) creates a vertical bar plot. For horizontal bars, use the plt.barh() function.

Important parameters:

  • x: Specifies the x coordinates of the bars
  • height: Specifies the height of the bars
  • width (optional): Specifies the width of all bars; the default is 0.8

Example:

plt.bar(['A', 'B', 'C', 'D'], [20, 25, 40, 10])

The preceding code creates a bar plot, as shown in the following diagram:

Figure 3.16: A simple bar chart

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