"如何在 matplotlib 对数图上删除科学记数法"

Question

I know that this question has been asked before, but I tried all the possible solutions and none of them worked for me.

from numpy import array, log, pi
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import matplotlib.ticker as mticker

plt.rc('axes.formatter', useoffset=False)

tc = array([7499680.0, 12508380.0, 23858280.0, 34877020.0, 53970660.0, 89248580.0, 161032860.0, 326814160.0, 784460200.0])

theta = array([70, 60, 50, 45, 40, 35, 30, 25, 20])

plt.scatter(theta,tc)

ax=plt.gca()

ax.set_xscale('log')
ax.set_yscale('log')

ax.xaxis.set_major_formatter(mticker.ScalarFormatter())
ax.xaxis.get_major_formatter().set_scientific(False)
ax.xaxis.get_major_formatter().set_useOffset(False)

plt.show()

Answer 1

Those are minor ticks on the x-axis (ie they are not on integer powers of 10), not major ticks. matplotlib<\/code> automatically detemines if it should label the major or minor ticks - in this case because you don't have any major ticks displayed in the x range, the minor ticks are being labelled). So, you need to use the set_minor_formatter<\/code> method:

ax.xaxis.set_minor_formatter(mticker.ScalarFormatter())

Answer 2

The following can be used as a workaround ( original answer<\/a> ):

from matplotlib.ticker import StrMethodFormatter, NullFormatter
ax.yaxis.set_major_formatter(StrMethodFormatter('{x:.0f}'))
ax.yaxis.set_minor_formatter(NullFormatter())

Answer 3

If you want to set just the xaxis to no longer use scientific notation you need to change the fromatter and then you can set it to plain.

ax.xaxis.set_minor_formatter(mticker.ScalarFormatter())
ax.ticklabel_format(style='plain', axis='x')

Answer 4

如果你想同时禁用偏移量和科学记数法，你可以使用ax.ticklabel_format(useOffset=False, style='plain')<\/code>

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