我试着用两个y轴作图,它们都是对数的;y1是左边的y轴,y2是右边的y轴。这里,y1的值是通过将y2值除以要在代码段中定义的某个数字来计算的。由于为Y2轴选择了十进制数字,该数字看起来不正常:
导入numpy as np
从numpy导入*
将matplotlib导入为mpl
将matplotlib.pyplot导入为plt
从matplotlib导入rcparams,cm
从matplotlib.ticker导入maxnlocator
#绘图装饰
xtick_-label_-size,ytick_-label_-size,axles_-label_-size,font_-size,tick_-width,lw,alpha=18,18,20,30,2,0.5,0.5
plt.rcparams['mathtext.fontset']='stix'
plt.rcparams['font.family']='stixgeneral'
mpl.rcparams['xtick.label size'],mpl.rcparams['ytick.labelsize'],mpl.rcparams['axes.labelsize']=xtick_label_size,ytick_label_size,axes_label_size
一些_数=平均值(数组([0.01614,0.01381,0.02411,0.007436,0.03223]))
f,(ax)=plt.子批次(1,1,FigSize=(10100))
ax.set xlim([1E8,3E12])
ax.设定值([3e-1,3e3])
ax.yaxis.set_major_locator(maxnlocator(prune='upper'))
ax.设置“ylabel”(“y1”,fontsize=12)
ax.set xlabel('x',fontsize=12)
ax.set xscale(“日志”,nonposx='clip')
ax.set yscale(“日志”,nonposy='clip')
ax.xaxis.set_tick_参数(width=tick_width)
ax.yaxis.set_tick_参数(width=tick_width)
ax.get_xaxis()。勾选_Bottom()。
ax.get_yaxis()。勾选_Left()。
数字=np.数组([1e-4,1e-3,1e-2,1e-1,1,1e1,1e2,1e3])
numberticks=[i*数字中的i的某个数字]
axsecond=ax.twinx()。
axsecond.set_ylabel('y2',fontsize=12)
axsecond.set yscale(“日志”,nonposy='clip')
axsecond.yaxis.set_tick_参数(width=tick_width)
axsecond.set时钟(数字)
axsecond.set ytickLabels([':g'。格式(i)for i in numberticks])
F.子批次调整(顶部=0.98,底部=0.14,左侧=0.14,右侧=0.98)
plt.setp([a.get_xtickLabels()for a in f.axes[:-1]],visible=true)
f.紧凑布局
显示()
< /代码>
import numpy as np
from numpy import *
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib import rcParams, cm
from matplotlib.ticker import MaxNLocator
#Plotting Decorations
xtick_label_size, ytick_label_size, axes_label_size, font_size, tick_width, lw, alpha = 18, 18, 20, 30, 2, 0.5, 0.5
plt.rcParams['mathtext.fontset'] = 'stix'
plt.rcParams['font.family'] = 'STIXGeneral'
mpl.rcParams['xtick.labelsize'], mpl.rcParams['ytick.labelsize'], mpl.rcParams['axes.labelsize'] = xtick_label_size, ytick_label_size, axes_label_size
some_number = mean(array([0.01614, 0.01381, 0.02411, 0.007436, 0.03223]))
f, (ax) = plt.subplots(1, 1, figsize=(10,100))
ax.set_xlim([1e8, 3e12])
ax.set_ylim([3e-1, 3e3])
ax.yaxis.set_major_locator(MaxNLocator(prune='upper'))
ax.set_ylabel('Y1', fontsize=12)
ax.set_xlabel('X', fontsize=12)
ax.set_xscale("log", nonposx='clip')
ax.set_yscale("log", nonposy='clip')
ax.xaxis.set_tick_params(width=tick_width)
ax.yaxis.set_tick_params(width=tick_width)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
number = np.array([1e-4,1e-3,1e-2,1e-1,1,1e1,1e2,1e3])
numberticks = [i*some_number for i in number]
axsecond = ax.twinx()
axsecond.set_ylabel('Y2', fontsize=12)
axsecond.set_yscale("log", nonposy='clip')
axsecond.yaxis.set_tick_params(width=tick_width)
axsecond.set_yticks(number)
axsecond.set_yticklabels(['{:g}'.format(i) for i in numberticks])
f.subplots_adjust(top=0.98,bottom=0.14,left=0.14,right=0.98)
plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=True)
f.tight_layout()
plt.show()
在得到为Y2定义正确标签的帮助后,我想将这些标签表示为类似于Y1的10的幂。你知道怎么做吗?
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