Matplotlib Markers: Style plot() and scatter() Points
Customize Matplotlib markers with shape, size, face and edge colors, transparency, scatter sizing, and reusable MarkerStyle examples.
Matplotlib
Learn Matplotlib with tutorials for plots, labels, grids, colors, figures, legends, annotations, exports, and visualization examples in Python.
Matplotlib Quiver: Vector Fields, Scale, Angles, and Color
Use Matplotlib quiver() to draw vector fields with correct x-y components, scale, angles, color, grids, and readable arrow keys.
Matplotlib Heatmap with imshow(): Colorbars, Labels, and Annotations
Create Matplotlib heatmaps with imshow(), colorbars, tick labels, annotations, colormaps, and readable correlation matrices.
Matplotlib figsize: Inches, DPI, Pixels, and Layout
Control Matplotlib figure width and height in inches, convert to pixels with DPI, and protect labels during export.
Matplotlib Bar Charts: bar(), barh(), Grouped, and Stacked
Create readable Matplotlib bar charts with bar(), barh(), grouped or stacked series, labels, error bars, and export-ready axis choices.
Matplotlib imshow(): Arrays, Colormaps, and Image Display
Display images, heatmaps, masks, and arrays with imshow() while controlling color scale, coordinates, interpolation, and aspect.