Book

Matplotlib 3.0 Cookbook

This book presents highly practical, ready to implement recipes on using Python's Matplotlib package for effective data visualization. It contains quick solutions to the common and not-so-common problems encountered while designing different types of visualizations, including histograms, bar plots, and other advanced charts.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
22h32m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 22h32m total length

1. Anatomy of Matplotlib
2. Getting Started with Basic Plots
3. Plotting Multiple Charts, Subplots, and Figures
4. Developing Visualizations for Publishing Quality
5. Plotting with Object Oriented API
6. Plotting with Advanced Features
7. Embedding Text and Expressions
8. Saving the Figure in Different formats
9. Developing Interactive Plots
10. Embedding Plots in Graphical User Interface
11. Plotting 3D Graphs Using the mplot3d Toolkit
12. Using the axisartist Toolkit
13. Using the axes_grid1 Toolkit
14. Plotting Geographical Maps Using Cartopy Toolkit
15. Exploratory Data Analysis Using the Seaborn Toolkit

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Chalet Hotels logo
Pernod Ricard logo
ProMobi logo
Metrique logo
K Raheja Corp logo
Spyne.AI logo
VuNet Systems logo
Procurement Partners logo
vEngage.AI logo
1218 Global logo
TRADEJINI logo
Oben Electric logo
IIT STartups logo
EdTech Digit logo
MindSkillz logo
NewportMed logo

Request Access For Your Organization

Start training your team in minutes!

No credit card required

Related Resources