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Overlapping tick labels and clipped titles in Matplotlib are layout problems, not drawing bugs. Diagnose the active layout engine, then apply constrained_layout or tight_layout correctly.
Learn how Matplotlib's constrained_layout solver automatically adjusts subplot spacing for labels, colorbars and legends, and when to prefer it over tight_layout.
Hand-tuning subplot margins in Matplotlib is a guess-and-check loop you can skip. tight_layout() measures your labels and computes spacing automatically — here's how to use it, tune it, and recognize its limits.
When a Matplotlib plot fails to appear or its labels overlap, the culprit is often a backend mismatch, a figure that’s too small, or tight_layout mis‑calculations. This guide walks through a step‑by‑step diagnostic checklist, fixes, and escalation paths to get your visualizations back on track.
When a matplotlib Figure is created and tight_layout() is called before any rendering step, the layout adjustments may not be applied correctly, especially on non-interactive backends such as Agg where no renderer exists prior to drawing. If constrained_layout is then enabled—either via subplots(constrained_layout=True) or Figure.set_constrained_layout(True)
matplotlib
python