Matplotlib ylim(): Set and Read Y-Axis Limits
Use Matplotlib ylim to set y-axis limits, inspect current bounds, preserve automatic scaling, and avoid hiding data with restrictive chart ranges.
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Use Matplotlib ylim to set y-axis limits, inspect current bounds, preserve automatic scaling, and avoid hiding data with restrictive chart ranges.
Learn the conditional expression syntax, truth-value behavior, precedence, and when a normal if statement is clearer.
Convert Python int to binary with bin(), format(), f-strings, prefixes, padding, negative numbers, and manual division examples.
Make Matplotlib log charts honest by matching the transform to the data domain and labeling the base, limits, ticks, and invalid values.
Control Matplotlib x-axis tick positions, labels, rotation, intervals, date ticks, and locator behavior with clear Axes examples.
Use Matplotlib colormaps as a data contract: match palette type to semantics, fix comparable bounds, label units, and test accessibility.
Use Matplotlib ion(), ioff(), isinteractive(), and pause() correctly for interactive shells, live updates, and non-blocking plot workflows.
Use Matplotlib savefig to export PNG, PDF, and SVG files with correct dpi, bbox_inches, transparent backgrounds, and predictable paths.
Use Matplotlib errorbar() with yerr, xerr, asymmetric uncertainty, capsize, log scales, and readable error-bar styling.
Use Matplotlib barh() to create readable horizontal charts, sort categories, add labels and error bars, and build stacked comparisons.