Matplotlib Colorbar: cmap, norm, Labels, and Layout
Create an honest Matplotlib colorbar by connecting it to a mappable, controlling cmap and norm, sharing scales, and managing layout.
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Create an honest Matplotlib colorbar by connecting it to a mappable, controlling cmap and norm, sharing scales, and managing layout.
Use nested classes in Python when a helper type belongs to one outer class, while understanding scope, instances, inheritance, and alternatives.
Fix Matplotlib subplot spacing with tight_layout, constrained layout, subplots_adjust, and GridSpec without clipped labels or overlapping axes.
Fix invalid literal for int() with base 10 by validating text, stripping whitespace, handling decimals, choosing bases, and reporting bad input.
Convert Python floats to strings with str(), f-strings, format(), fixed decimals, scientific notation, and predictable machine-readable output.
Calculate SHA-256 in Python with hashlib, hash files in chunks, compare digests safely, and distinguish integrity checks from password storage or encryption.
Use NumPy cross for 3D vector products and batches, control vector axes, understand broadcasting, and replace deprecated 2D inputs.
Control which Matplotlib artists appear in front with zorder, including grids, patches, lines, text, annotations, and legends.
Fix this NumPy TypeError with ufuncs, indexing, astype(), shape checks, and a clear choice between one scalar and an array-wide result.
Use Matplotlib annotate() with xy, xytext, arrows, coordinate systems, boxed labels, clipping, and readable exported plots.