Matplotlib Intro with Python

Learn to create and customize pie charts in matplotlib using Python by adding labels, titles, legends, shadows, and colors; control start angle and explode slices to highlight data.

Learn to customize Matplotlib grids by enabling lines, choosing styles and colors, and displaying major and minor grids on chosen axes with adjustable line width.

Save a Matplotlib plot as an image from code by naming a figure and using save functionality. The plot writes to the specified file name, with optional prefix.

Learn to position legends in matplotlib: use loc options like top left and bottom right, and bbox_to_anchor coordinates to anchor and move legends, including outside the plot.

Explore matplotlib styles by listing available styles and applying Seabourn to override the default; switch to dark grids or white grids to improve the appearance of any plot.

Learn to create scatter plots with random data points, customize colors with c and sizes with s, and assign unique point sizes to highlight groups.

Learn to create multiple plots in one image using subplots, arranging grids such as 2x2 or 3x3, with x/y labels and a shared title.

Explore three-dimensional plots by assigning x, y, and z positions, color, and size; interact by dragging to view angles, and compare multiple series with 3d lines and markers.