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Implementing Logarithmic Scales with matplotlib.pyplot.xscale, matplotlib.pyplot.yscale
Common issues with logarithmic scales include handling zero or negative values, setting axis limits explicitly, labeling axes to indicate log scale, matching scales when overlaying datasets, and customizing tick marks for clarity. Proper management ensures accurate and clear log-scale visualizations.