Using plt.scatter() to Visualize Data in Python

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Darren Jones

31:34

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502-plt scatter - 0 - Intro.mp4

01:20

502-plt scatter - 1 - Creating Plots.mp4

06:09

502-plt scatter - 2 - Customising Markers.mp4

00:30

502-plt scatter - 2-1 - Changing Size.mp4

02:27

502-plt scatter - 2-2 - Changing Color.mp4

01:57

502-plt scatter - 2-3 - Changing Shape.mp4

03:28

502-plt scatter - 2-4 - Changing Transparency.mp4

02:06

502-plt scatter - 3 - Colormap and Style.mp4

03:03

502-plt scatter - 4 - Exploring Further.mp4

07:27

502-plt scatter - 5 - Key Input Parameters.mp4

02:10

502-plt scatter - 6 - Summary.mp4

00:57

RP - plt.scatter code.zip

plt.pdf

Description

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.

What You'll Learn?

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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Python

Data Visualization

Darren Jones

Instructor's Courses

Darren is an avid Pythonista and creates video tutorials for Real Python. Having followed a varied career as a nuclear industry instrumentation engineer, a musician, recording engineer and teacher, he’s always been interested in computers, spending the last 20 years producing music with them and teaching music technology. He’s written books on the subject, and spends the remainder of his time improving his Python skills, with a view to bringing them into the studio and classroom for better understanding of both music and programming.