在坐标轴标签上绘制科学格式和不同大小的次级格式文本大小

Question

我写了下面的代码来输出图形，但还有两个问题需要解决。

1) 我想知道怎么在坐标轴上显示科学计数法的次刻度标签。目前我只看到5000，我想我可以在showOnlySomeTicks这个函数里改成返回科学计数法的字符串。有没有更好的方法呢？还有，怎么只显示5000这个次刻度标记（比如5e5）？

2) 我想把次刻度标记的标签字体大小弄得比主刻度标记的标签小，应该怎么做呢？

谢谢大家的帮助！

import matplotlib.pyplot as plt
import matplotlib.ticker as tick
from numpy import load, sqrt, shape, size

def clear_spines(ax):
    ax.spines['top'].set_color('none')
    ax.spines['right'].set_color('none')
def set_spineLineWidth(ax, lineWidth):
    for i in ax.spines.keys():
        ax.spines[i].set_linewidth(lineWidth)
def showOnlySomeTicks(x, pos):
    s = str(int(x))
    if x == 5000:
        return s
    return ''


plt.close('all')
spineLineWidth = 0.5
inFile = '7semiat220'
outFile = inFile
inExt = '.npz'
outExt = ['.eps','.pdf','.tif','.png']
mydpi = 300
storeMat = load(inFile+inExt)
fig_width_pt = 246.0  
inches_per_pt = 1.0/72.27               
golden_mean = (sqrt(5)-1.0)/2.0         
fig_width = fig_width_pt*inches_per_pt  
fig_height = 2 #fig_width*golden_mean       
fig_size = [fig_width,fig_height]
tick_size = 9
fontlabel_size = 10.5
params = {'backend': 'wxAgg', 'axes.labelsize': fontlabel_size, 'text.fontsize': fontlabel_size, 'legend.fontsize': fontlabel_size, 'xtick.labelsize': tick_size, 'ytick.labelsize': tick_size, 'text.usetex': True, 'figure.figsize': fig_size}
plt.rcParams.update(params)
x = storeMat['freq']
y = storeMat['mag']
sizeX = x.size
fig = plt.figure(1)
#figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
#fig.set_size_inches(fig_size)
plt.clf()
ax = plt.axes([0.125,0.2,0.95-0.125,0.95-0.2])
plt.plot(x,y,'k',label='$\sin(x)$')
plt.xscale('log')
plt.xlim(x[sizeX-1]*.95,x[0]*1.05)
plt.xlabel('Log Frequency (Hz)')
plt.ylabel('Magnitude')
set_spineLineWidth(ax,spineLineWidth)
clear_spines(ax)
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')
ax.xaxis.set_minor_formatter(tick.FuncFormatter(showOnlySomeTicks))
#plt.legend()
for i in outExt:
    plt.savefig(outFile+i, dpi = mydpi)
#def grayConvert()
#Image.open('color.png').convert('L').save('bw.png') #direct method
#image=Image.open('colored_image.png').convert("L") #other manipulations can use this method
#arr=np.asarray(image)
#p.figimage(arr,cmap=cm.Greys_r)
#p.savefig('grayed.png')

output

数据可视化可视化工具字体大小坐标轴图形输出科学计数法标签格式次刻度标签

在坐标轴标签上绘制科学格式和不同大小的次级格式文本大小

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