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Learn Why Matplotlib Matters? | Matplotlib Introduction
Ultimate Visualization with Python

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Why Matplotlib Matters?

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Definition

Matplotlib is a powerful and widely used Python library for creating static, animated, and interactive visualizations. It provides a flexible and customizable way to generate a wide range of plots and charts, including line plots, bar charts, histograms, scatter plots, and more.

Although it offers comprehensive functionality to create a variety of plot types, it remains surprisingly easy to use. On top of that, matplotlib is open source, which means it is freely available and continuously improved by a large community.

matplotlib is an excellent starting point for learning data visualization in Python, as many other libraries are built on top of it.

Before diving into matplotlib let's have a look at an example of the plot created with its help:

This plot can be created with only a few lines of code. Furthermore, it is possible to make it interactive, showcasing the capabilities of matplotlib.Β 

The majority of matplotlib utilities are located in the pyplot submodule, which is used throughout the course.

Task

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There are two possible ways to import it, the first one is more common, while the second one is more appropriate according to PEP.

  1. Import the pyplot submodule from the matplotlib library with the plt alias without using the from keyword.
  2. Import the pyplot submodule from the matplotlib library with the plt alias using the from keyword.

Solution

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SectionΒ 1. ChapterΒ 2
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book
Why Matplotlib Matters?

Note
Definition

Matplotlib is a powerful and widely used Python library for creating static, animated, and interactive visualizations. It provides a flexible and customizable way to generate a wide range of plots and charts, including line plots, bar charts, histograms, scatter plots, and more.

Although it offers comprehensive functionality to create a variety of plot types, it remains surprisingly easy to use. On top of that, matplotlib is open source, which means it is freely available and continuously improved by a large community.

matplotlib is an excellent starting point for learning data visualization in Python, as many other libraries are built on top of it.

Before diving into matplotlib let's have a look at an example of the plot created with its help:

This plot can be created with only a few lines of code. Furthermore, it is possible to make it interactive, showcasing the capabilities of matplotlib.Β 

The majority of matplotlib utilities are located in the pyplot submodule, which is used throughout the course.

Task

Swipe to start coding

There are two possible ways to import it, the first one is more common, while the second one is more appropriate according to PEP.

  1. Import the pyplot submodule from the matplotlib library with the plt alias without using the from keyword.
  2. Import the pyplot submodule from the matplotlib library with the plt alias using the from keyword.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 1. ChapterΒ 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
We're sorry to hear that something went wrong. What happened?
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