Interactive Course

Introduction to Matplotlib

Learn how to create, customize, and share data visualizations using Matplotlib.

  • 4 hours
  • 14 Videos
  • 44 Exercises
  • 7,008 Participants
  • 3,600 XP

Loved by learners at thousands of top companies:

airbnb-grey.svg
lego-grey.svg
deloitte-grey.svg
siemens-grey.svg
whole-foods-grey.svg
uber-grey.svg

Course Description

Visualizing data in plots and figures exposes the underlying patterns in the data and provides insights. Good visualizations also help you communicate your data to others, and are useful to data analysts and other consumers of the data. In this course, you will learn how to use Matplotlib, a powerful Python data visualization library. Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets. You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations.

  1. 1

    Introduction to Matplotlib

    Free

    This chapter introduces the Matplotlib visualization library and demonstrates how to use it with data.

  2. Plotting time-series

    Time series data is data that is recorded. Visualizing this type of data helps clarify trends and illuminates relationships between data.

  3. Quantitative comparisons and statistical visualizations

    Visualizations can be used to compare data in a quantitative manner. This chapter explains several methods for quantitative visualizations.

  4. Sharing visualizations with others

    This chapter shows you how to share your visualizations with others: how to save your figures as files, how to adjust their look and feel, and how to automate their creation based on input data.

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Ariel Rokem
Ariel Rokem

Senior Data Scientist, University of Washington

Ariel Rokem is a Data Scientist at the University of Washington eScience Institute. He received a PhD in neuroscience from UC Berkeley, and postdoctoral training in computational neuroimaging at Stanford. In his work, he develops data science algorithms and tools, and applies them to analysis of neural data. He is also a contributor to multiple open-source software projects in the scientific Python ecosystem.

See More
Collaborators
  • Chester Ismay

    Chester Ismay

  • Amy Peterson

    Amy Peterson

Icon Icon Icon professional info