Matplotlib Tutorials and Plotting Guides

Matplotlib Slider: Interactive Controls, Callbacks, and Reset

July 13, 2026February 11, 2021

Build an interactive Matplotlib Slider with callbacks, valstep, reset behavior, layout, and backend checks for responsive plot controls.

July 13, 2026February 10, 2021

Draw Matplotlib rectangles with Rectangle, add_patch, data coordinates, styling, rotation, image boxes, zorder, and readable limits.

July 13, 2026February 9, 2021

Control Matplotlib plot aspect ratios with set_aspect(), axis(‘equal’), imshow(), set_box_aspect(), and figure sizing.

July 13, 2026February 9, 2021

Compute autocorrelation in Python with centered series, lag conventions, missing values, normalization, confidence limits, and time-series checks.

July 14, 2026February 7, 2021

Understand matplotlib.pyplot.gca(), current Axes state, gca() versus gcf(), and why explicit subplots are clearer in new code.

July 13, 2026February 7, 2021

Create an honest Matplotlib colorbar by connecting it to a mappable, controlling cmap and norm, sharing scales, and managing layout.

July 13, 2026February 7, 2021

Fix Matplotlib subplot spacing with tight_layout, constrained layout, subplots_adjust, and GridSpec without clipped labels or overlapping axes.

July 13, 2026February 1, 2021

Control which Matplotlib artists appear in front with zorder, including grids, patches, lines, text, annotations, and legends.

July 13, 2026January 28, 2021

Use Matplotlib annotate() with xy, xytext, arrows, coordinate systems, boxed labels, clipping, and readable exported plots.

July 13, 2026January 18, 2021

Draw true Matplotlib circles with patches.Circle, equal aspect ratio, hollow outlines, labels, and saved figures without distorted geometry.