绘制箱线图

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scores

代码


import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator

plt.rcParams['axes.unicode_minus']=False  #显示负数
# plt.rcParams["font.sans-serif"]=["SimHei"] # 显示中文

plt.figure(figsize=(9,6))

scores=(np.array([85,86,78,65,66,74,64,77,75,72,80,73,68,71,79])-5,
	np.array([86,58,68,78,79,74,62,66,60,72,73,77,61,78,84])-15,
    np.array([79,55,54,60,79,77,65,63,64,77,56,52,78,73,55])-15,
    np.array([92,86,73,75,84,70,69,72,77,70,78,76,68,88,83])-5,
    np.array([86,53,64,80,73,68,63,54,67,69,63,61,59,60,77])-15,
    np.array([75,49,65,73,65,61,62,64,53,58,56,54,72,69,74])-25,
    np.array([72,45,68,63,58,53,56,57,60,49,50,57,56,52,67])-30,
    np.array([90,85,75,87,70,86,82,83,79,86,73,85,89,83,72]))

labels = ['Red channel','GDCP','UIBLA','Fusion-based','FUnIE-GAN','UGAN','UWCNN','Ours']

plt.box(on=True)
# plt.grid(b=None, which='major', axis='both') # 网格线
plt.boxplot(scores,labels=labels,notch=True, meanline=True, showmeans=True)

plt.ylabel("Preference Scores",fontproperties = 'Times New Roman',fontsize=16)

plt.xticks(fontproperties = 'Times New Roman')
plt.yticks(fontproperties = 'Times New Roman')

## 修改 y 轴刻度间隔
ax=plt.gca()
y_major_locator=MultipleLocator(10)
ax.yaxis.set_major_locator(y_major_locator)

plt.ylim(-5,100) # y 轴范围

# plt.title("主观评分")
plt.savefig(r".//scores.png") # 保存成 png

plt.savefig('scores.pdf') # 保存成 pdf
plt.show() # 显示

代码

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