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Introduction to Data Visualization with Matplotlib

4.5+
99 reviews
Beginner

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

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4 Hours14 Videos44 Exercises
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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.
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In the following Tracks

Certification Available

Associate Data Scientist in Python

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Data Visualization with Python

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  1. 1

    Introduction to Matplotlib

    Free

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

    Play Chapter Now
    Introduction to data visualization with Matplotlib
    50 xp
    Using the matplotlib.pyplot interface
    100 xp
    Adding data to an Axes object
    100 xp
    Customizing your plots
    50 xp
    Customizing data appearance
    100 xp
    Customizing axis labels and adding titles
    100 xp
    Small multiples
    50 xp
    Creating a grid of subplots
    50 xp
    Creating small multiples with plt.subplots
    100 xp
    Small multiples with shared y axis
    100 xp
  2. 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.

    Play Chapter Now
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Associate Data Scientist in Python

Go To Track

Data Visualization with Python

Go To Track

Datasets

Seattle weatherAustin weatherClimate dataMedals by countryMedalist weights

Collaborators

Collaborator's avatar
Chester Ismay
Collaborator's avatar
Amy Peterson
Ariel Rokem HeadshotAriel Rokem

Senior Data Scientist, University of Washington

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Don’t just take our word for it

*4.5
from 99 reviews
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  • Pascual S.
    6 months

    It has been an excellent experience what I got during this course. I have really learnt so much.

  • Bagué I.
    6 months

    The way the course is organized makes its understanding easy!

  • Anya A.
    8 months

    Well explained, awesome code labs

  • Thomas S.
    10 months

    Clear, intuitive, and simple to follow instructions, along with interactive tasks. An excellent teaching platform for learning how to use Matplotlib.

  • Luis L.
    10 months

    It was the best course of the Data Science with Python series so far. Very easily explained taking you along from theory to practice, step by step. I really enjoyed it.

"It has been an excellent experience what I got during this course. I have really learnt so much."

Pascual S.

"The way the course is organized makes its understanding easy!"

Bagué I.

"Well explained, awesome code labs"

Anya A.

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