Log-log, semilog-x and semilog-y axes

loglog logs both axes; semilogx/semilogy log only one – each is a thin wrapper that sets the one scale and plots, for the common case of one exponential/power-law axis paired with one linear one.

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import numpy as np
import plotpress

x = np.logspace(0, 4, 60)

fig, (ax1, ax2, ax3) = plotpress.subplots(1, 3, figsize=(12, 3.5))

ax1.loglog(x, x ** 2, label="x^2")
ax1.loglog(x, x ** 1.5, linestyle="--", label="x^1.5")
ax1.set_title("loglog"); ax1.grid(True); ax1.legend()

ax2.semilogx(x, np.log(x), color="#d62728")
ax2.set_title("semilogx"); ax2.grid(True)

y = np.linspace(0, 4, 60)
ax3.semilogy(y, np.exp(y), color="#2ca02c")
ax3.set_title("semilogy"); ax3.grid(True)
fig.tight_layout()