python - Python - matplotlib 为“loglog”图修改 xticks

Question

我正在为每个轴绘制对数刻度，但我不想要 x 轴的科学记数法，所以我将其修改如下：

from matplotlib import pyplot as plt
from matplotlib.ticker import FormatStrFormatter

a = np.array([10.**(-2), 10.**(-3), 5.*10**(-3),10.**(-4), 10.**(-6), 10.**(-7)])
b = np.array([16, 12.5, 14.5, 9.5, 8., 7.5])

axes = plt.subplot(111)

plt.loglog(a,b, 'k.',markersize=10,markerfacecolor='None',label='')

plt.ylim(10**(-6),10**(-1))
plt.xlim(5,30)
plt.subplots_adjust(left=0.15)
plt.legend(loc=2)
axes.xaxis.set_minor_formatter(FormatStrFormatter("%.0f"))
plt.show()

但是，如下图所示，x 轴标签中有 10 个科学计数法……我不知道如何抑制它，只是有10……

Answer 1

You can use the ScalarFormatter from matplotlib.ticker

import matplotlib.pyplot as plt
from matplotlib.ticker import ScalarFormatter

fig = plt.figure()
ax = fig.add_subplot(111)
ax.semilogx(range(100))
ax.set_xscale('log')
ax.set_yscale('log')
ax.xaxis.set_major_formatter(ScalarFormatter())
#ax.yaxis.set_major_formatter(ScalarFormatter()) # for the y axis

fig.show()