python画论文中的折线图

 

折线图篇

 

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

 
#输入因变量

y1 = [0.724266, 0.730357, 0.722058, 0.718748, 0.718975, 0.718422]
y2 = [0.922546, 0.87944, 0.980582, 0.978843, 0.981803, 0.959068]
y3 = [0.927972, 0.880988, 0.973044, 0.972353, 0.973717, 0.944803]
y4 = [0.879261, 0.770276, 0.893485, 0.892955, 0.892227, 0.890149]
#assert y1.shape[0]==y2.shape[0], '两个因变量个数不相等!'
 
fig,ax=plt.subplots(figsize=(6.4,4.8), dpi=100)
#设置自变量的范围和个数
x = ["BerNB", "MultiNB", "LogReg", "SVC" ,"LSVC", "NuSVC"]
#画图
ax.plot(x,y1, label='bigram', linestyle='-', marker='*',  markersize='10')
ax.plot(x,y3, label='bigram_words', linestyle='--', marker='p', markersize='10')
ax.plot(x,y2, label='jieba_feature', linestyle='-.', marker='o', markersize='10')
ax.plot(x,y4, label='bag_of_words', linestyle=':', marker='x', markersize='10')
#设置坐标轴
#ax.set_xlim(0, 9.5)
#ax.set_ylim(0, 1.4)
ax.set_xlabel('classifier', fontsize=13)
ax.set_ylabel('F1-score', fontsize=13)
#设置刻度
ax.tick_params(axis='both', labelsize=11)
#显示网格
#ax.grid(True, linestyle='-.')
ax.yaxis.grid(True, linestyle='-.')
#添加图例
legend = ax.legend(loc='best')
 
plt.show()
fig.savefig('res/pic/1.png')

 

 

 

参数说明:

linestyle线的种类:

  1. 实线:'-'
  2. 虚线:'--'
  3. 点线:':'
  4. 杠点线:'-.'

marker参数在折线上打标记:

  1. 实心点:'.'
  2. 无标记:','
  3. 实心点:'o'
  4. 三角形(上下左右):'^' 'v' '<' '>'
  5. 无圈奔驰标(下上左右):'1' '2' '3' '4'
  6. 四边形:'s'
  7. 五边形:'p'
  8. 星标:'*'
  9. 六边形(角向上边向上):'h' 'H'
  10. 加号:'+'
  11. 叉号:'x'
  12. 瘦菱形:'d'
  13. 菱形:'D'
  14. 竖线:'|'
  15. 横线:'_'

线条透明度选项:

  1. alpha = 0.1

 

 

参考文献

1. https://blog.csdn.net/qq_26697045/article/details/8901862

 

posted @ 2020-12-23 16:43  浅忆~  阅读(3204)  评论(0编辑  收藏  举报