Python实现对数坐标系绘制与自定义映射

import numpy as np
import matplotlib.pyplot as plt
xs = np.linspace(-5,5,1000)
labels = ['linear', 'log', 'symlog', 'logit']
fig = plt.figure()
for i,L in enumerate(labels, 1):
    ax = fig.add_subplot(2,2,i)
    ax.plot(xs, np.tan(xs))
    ax.plot(xs, np.exp(xs))
    ax.set_yscale(L)
    ax.set_title(L)
    ax.grid()
plt.tight_layout()
plt.show()

forward = lambda x : x**(1/2)
inverse = lambda x : x**2
fig, ax = plt.subplots()
xs = np.linspace(0,4,100)
ax.plot(xs, np.exp(xs))
ax.set_yscale('function', functions=(forward, inverse))
ax.set_title('function: $x^{1/2}$')
ax.grid()
plt.tight_layout()
plt.show()

fig, (ax1, ax2, ax3) = plt.subplots(1,3, figsize=(8,3))
ax1.semilogx(t, np.sin(2 * np.pi * t))
ax1.set(title='semilogx')
ax1.grid()
ax2.semilogy(t, np.exp(-t / 5.0))
ax2.set(title='semilogy')
ax2.grid()
ax3.loglog(t, 20 * np.exp(-t / 10.0))
ax3.set(title='loglog')
ax3.grid()
plt.tight_layout()
plt.show()