Visualizing Data in Python Using plt.scatter()

Using plt.scatter() to Visualize Data in Python

Darren Jones 11 Lessons 31m
intermediate

An important part of working with data is being able to visualize it. Python has several third-party modules you can use for data visualization. One of the most popular modules is Matplotlib and its submodule pyplot, often referred to using the alias plt. Matplotlib provides a very versatile tool called plt.scatter() that allows you to create both basic and more complex scatter plots.

In this course, you’ll learn how to:

Create a scatter plot using plt.scatter()
Use the required and optional input parameters
Customize scatter plots for basic and more advanced plots
Represent more than two dimensions on a scatter plot

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Using plt.scatter() to Visualize Data in Python

11 Lessons 31m

1. Using plt.scatter() to Visualize Data in Python (Overview) 01:21

2. Creating Scatter Plots 06:09

3. Customizing Markers in Scatter Plots 00:31

4. Changing the Size 02:28

5. Changing the Color 01:57

6. Changing the Shape 03:28

7. Changing the Transparency 02:06

8. Customizing the Colormap and Style 03:04

9. Exploring plt.scatter() Further 07:27

10. Reviewing the Key Input Parameters 02:10

11. Using plt.scatter() to Visualize Data in Python (Summary) 00:58

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About Darren Jones

With 20 years as a teacher of music technology, Darren is keen to bring his skills to the Python table.

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Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

Christopher

Sadie

Tappan

Stephen

David

Joanna

Aldren

Bartosz

Jacob

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