Learn the fundamentals of data visualization using Matplotlib in this comprehensive tutorial series. Begin with installing the Matplotlib library and progress through plotting data from lists using the Pyplot API. Master essential techniques such as adding labels, legends, customizing colors, fonts, and plot representations. Explore various line styles and widths, create multiple plots, and set X & Y axes limits. Discover how to enhance your visualizations with grids and save your plots for future use. Dive into different chart types including scatter plots, bar charts, histograms, and pie charts. Gain proficiency in adding text annotations and utilizing style sheets to create professional-looking visualizations. Perfect for beginners, this tutorial series provides a solid foundation in Matplotlib for effective data representation.
Overview
Syllabus
Matplotlib Tutorial 1 | Installing matplotlib library.
Matplotlib Tutorial 2 | Plotting data from lists using Pyplot API.
Matplotlib Tutorial 3 | Adding labels and legends.
Matplotlib Tutorial 4 | Colors, Fonts & Plot Representations.
Matplotlib Tutorial 5 | Line Styles and Widths.
Matplotlib Tutorial 6 | Adding Multiple plots.
Matplotlib Tutorial 7 | Setting X & Y Axes Limits.
Matplotlib Tutorial 8 | Setting up grids in your plots.
Matplotlib Tutorial 9 | Saving plots.
Matplotlib Tutorial 10 | Scatter Plots.
Matplotlib Tutorial 11 | Bar Charts.
Matplotlib Tutorial 12 | Histograms.
Matplotlib Tutorial 13 | Pie Charts.
Matplotlib Tutorial 14 | Text Annotations.
Matplotlib Tutorial 15 | Using Style Sheets.
Taught by
PyLenin
