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Introduction to Data Visualization with Matplotlib

Beginner

4.5+

Updated 12/2024

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

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PythonData Visualization4 hours14 videos44 exercises3,600 XP191,389Statement of Accomplishment

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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.

Prerequisites

Introduction to Python

1

Introduction to Matplotlib

Introduction to data visualization with Matplotlib

Using the matplotlib.pyplot interface

Adding data to an Axes object

Customizing your plots

Customizing data appearance

Customizing axis labels and adding titles

Small multiples

Creating a grid of subplots

Creating small multiples with plt.subplots

Small multiples with shared y axis

2

Plotting time-series

Plotting time-series data

Read data with a time index

Plot time-series data

Using a time index to zoom in

Plotting time-series with different variables

Plotting two variables

Defining a function that plots time-series data

Using a plotting function

Annotating time-series data

Annotating a plot of time-series data

Plotting time-series: putting it all together

3

Quantitative comparisons and statistical visualizations

Quantitative comparisons: bar-charts

Stacked bar chart

Quantitative comparisons: histograms

Creating histograms

"Step" histogram

Statistical plotting

Adding error-bars to a bar chart

Adding error-bars to a plot

Creating boxplots

Quantitative comparisons: scatter plots

Simple scatter plot

Encoding time by color

4

Sharing visualizations with others

Preparing your figures to share with others

Selecting a style for printing

Switching between styles

Saving your visualizations

Saving a file several times

Save a figure with different sizes

Automating figures from data

Unique values of a column

Automate your visualization

Where to go next

Introduction to Data Visualization with Matplotlib

Course
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Don’t just take our word for it

*4.5

from 108 reviews

68%

22%

7%

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Most recent
Top reviews

Alessandro I.

25 days

Great course to start being familiar with visuals in Python.

Ahmed Y.

about 1 month

Excellent content, and logical sequence that help fully understand the concept

José C.

about 2 months

the course is amazing

JUDE A.

4 months

Great explanations and tools for plotting. I like not only that the course tutor provided cheat sheet but also further links to further research into various plots

Kostyantyn T.

4 months

Clear and concise course about quite complicated library.

"Great course to start being familiar with visuals in Python."

Alessandro I.

"Excellent content, and logical sequence that help fully understand the concept"

Ahmed Y.

"the course is amazing"

José C.

FAQs

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