Learn to create data visualizations in Python using Matplotlib in this comprehensive tutorial video. Master the basics of creating line graphs and bar charts, including adding titles, labels, and legends. Explore techniques for customizing graph aesthetics such as font styles, colors, line styles, and markers. Discover how to scale graphs, resize them, and save your work. Practice annotating and cleaning code while working through practical examples. By the end of this 33-minute tutorial, gain the skills to effectively visualize data and create professional-looking charts using the Matplotlib library.
Intro to Data Visualization in Python with Matplotlib - Line Graph, Bar Chart, Title, Labels, Size
Keith Galli via YouTube
Overview
Syllabus
- Video overview note real-world examples moved to next video
- Setup
- Our first line graph!
- Add title and labels for x & y axis
- Change font type, size, etc.
- Change tick marks scale graph
- Add a legend
- Restyle our line color, line style, markers, width
- Shorthand notation to restyle lines
- List of line customization options
- Plot more complex lines
- Resize Graph
- Save Graph
- Annotating/Cleaning Code
- Bar Chart
- Final Comments
Taught by
Keith Galli
