python matplotlib 折线图
1.绘制折线图，去上和右边框，显示中文
import numpy as np
import matplotlib.pyplot as plt
#plt.style.use('default')
#plt.close(fig)
fig, ax = plt.subplots(figsize=(12, 8))
ax = plt.axes()
ax.spines['top'].set_visible(False) #设置去掉上边框
ax.spines['right'].set_visible(False) #设置去掉右边框
plt.rcParams['xtick.direction'] = 'in' #x轴的刻度尺朝里
plt.rcParams['ytick.direction'] = 'in' #y轴的刻度尺朝里
ylist=[0.93,0.87,0.93,0.93,0.92,0.92,0.92,0.92]
xlist=[5,6,7,8,9,12,15,17]
plt.plot(xlist, ylist,c='black',ls='-',marker='+',mec='black',linewidth=1.5)
#plt.title("original data")
plt.xticks(fontsize=18)
plt.yticks(fontsize=18)
plt.xlabel("网络层数",fontsize=18)
#yLable='\n'.join('精','度')
yLable='精 '+'\n'+'度 '
plt.ylabel(yLable,rotation='horizontal',fontsize=18)
plt.savefig('5a.eps')
plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示y轴的负号
plt.show()
2.保存为eps
# plt调用gcf函数取得当前绘制的figure并调用savefig函数
foo_fig = plt.gcf() # 'get current figure'
foo_fig.savefig('foo.eps', format='eps', dpi=1000)
plt.show()
3.绘图风格
风格：https://blog.csdn.net/qq_42505705/article/details/84962815
4. 折线图参考
