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| import numpy as np import matplotlib.pyplot as plt
t = np.arange(0.01, 20.0, 0.01)
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
ax1.semilogy(t, np.exp(-t / 5.0)) ax1.set(title='semilogy') ax1.grid()
ax2.semilogx(t, np.sin(2 * np.pi * t)) ax2.set(title='semilogx') ax2.grid()
ax3.loglog(t, 20 * np.exp(-t / 10.0), basex=2) ax3.set(title='loglog base 2 on x') ax3.grid()
x = 10.0**np.linspace(0.0, 2.0, 20) y = x**2.0
ax4.set_xscale("log", nonposx='clip') ax4.set_yscale("log", nonposy='clip') ax4.set(title='Errorbars go negative') ax4.errorbar(x, y, xerr=0.1 * x, yerr=5.0 + 0.75 * y)
ax4.set_ylim(bottom=0.1)
fig.tight_layout() plt.show()
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