Matplotlib cmap: Sequential, Diverging, Cyclic, and Qualitative
Use Matplotlib colormaps as a data contract: match palette type to semantics, fix comparable bounds, label units, and test accessibility.
Matplotlib
Learn Matplotlib with tutorials for plots, labels, grids, colors, figures, legends, annotations, exports, and visualization examples in Python.
Matplotlib ion(): Interactive Mode, pause(), and Live Plot Updates
Use Matplotlib ion(), ioff(), isinteractive(), and pause() correctly for interactive shells, live updates, and non-blocking plot workflows.
Matplotlib savefig(): Export Plots as PNG, PDF, and SVG
Use Matplotlib savefig to export PNG, PDF, and SVG files with correct dpi, bbox_inches, transparent backgrounds, and predictable paths.
Matplotlib errorbar(): yerr, xerr, Caps, and Styles
Use Matplotlib errorbar() with yerr, xerr, asymmetric uncertainty, capsize, log scales, and readable error-bar styling.
Matplotlib barh(): Horizontal Bar Chart Guide
Use Matplotlib barh() to create readable horizontal charts, sort categories, add labels and error bars, and build stacked comparisons.
Matplotlib Vertical Lines: axvline(), vlines(), and plot()
Draw Matplotlib vertical markers with axvline(), data-space segments with vlines(), and ordinary line data with plot().
Matplotlib Table: Add, Style, and Format Table Cells
Create Matplotlib tables with cellText, row and column labels, widths, colors, font size, and readable layout control.
Matplotlib Arrow: Add, Style, and Annotate Arrows
Draw Matplotlib arrows with annotate and patch controls, position arrowheads correctly, and keep labels readable across plots and responsive exports.
Matplotlib contourf(): Levels, Colormaps, Colorbars, and Grids
Use Matplotlib contourf() with X, Y, Z grids, levels, colormaps, colorbars, contour lines, normalization, and layout checks.
Matplotlib Text: Labels, Titles, Annotations, and Coordinates
Add readable Matplotlib text with ax.text, titles, labels, annotations, coordinate systems, styling, zorder, and export-safe layout.