robustness/plot.py

# import numpy as np
# import math
# import matplotlib.pyplot as plt
# from matplotlib import font_manager
#
# plt.rcParams['font.family'] = 'Times New Roman'
# from mpl_toolkits.axes_grid1 import make_axes_locatable
# import matplotlib.gridspec as gridspec
# # 数据准备
# # x1 = np.arange(1, 6)  # 创建从 1 到 5 的数组 CC:contrast VC:video compression GN:gaussian noise GB:gaussian blur CS:saturation BW:block-wise GNC: pixelation
# # y11 = np.arange(50, 101, 10)  # 创建从 50 到 100，间隔为 10 的数组 saturation里面的数据
# x = [0,1, 2, 3, 4, 5]
# #y1 = [54, 44.66, 44.72, 38.08, 40.13,37.45]  #xception
# y2 = [45, 31.20, 35.63, 25.20, 22.24,28.3]  # CViT
# y3 = [43, 37.93, 38.64, 31.55, 29.81,20.63] # crossvit
# y4 = [43, 33.34,45.64, 34.41, 40.04,38.58] # evit 43,33.34,45.64, 34.41, 40.04,38.58
# y5 = [46, 36.96, 44.13, 38.65, 41.91,39.13] #ours
# #第二组  contrast里数据
# #y1_2 = [61, 53.82, 50.95, 47.47, 38.93,31.14] #
# y2_2 = [55, 45.41, 48.06, 39.53, 30.18,17.11]
# y3_2 = [56, 46.82, 38.47,25.68, 24.47,13.72]
# y4_2 = [58,44.57,49.03, 33.22, 34.30,26.09]#60, 50.91, 48.28, 30.86, 28.01,24.24
# y5_2 = [60, 50.91, 48.28, 33.86, 32.01,28.24]
#
# #y1_3 = [63, 57.21, 58.87, 59.83, 55.44,55.20]
# y2_3 = [53, 43.98, 44.05, 47.05, 49.11,39.17]
# y3_3 = [55, 45.54, 50.04, 47.71, 46.21,36.16]
# y4_3 = [55,45.07,43.64, 49.42, 50.11,36.72] #
# y5_3 = [55, 45.69, 56.25, 54.30, 51.26,41.61]
#
# #y1_4 = [20, 9.81, 1.7, 0.7, 0.11,0.02]
# y2_4 = [26, 18.52, 4.0, 3.9, 3.7,2.5]
# y3_4 = [34, 24.23, 4.02, 3.5, 3.07,2.01]
# y4_4 = [28,18.56,15.07, 7.3, 2.7,2.0]#31, 21.52, 6.1, 0.9, 0.3,0.2
# y5_4 = [31, 21.52, 16.1, 7.9, 3.3,2.2]
#
# #y1_5 = [67, 61.28, 57.58, 55.90, 56.72,50.58]
# y2_5 = [47, 37.29, 31.62, 25.26, 27.64,21.16]
# y3_5 = [57, 47.87, 48.63, 45.29, 45.96,40.68]
# y4_5 = [57,47.11,42.52, 46.48, 47.78,46.78]#
# y5_5 = [53, 43.30, 42.53, 46.07, 47.64,45.43]
#
# #y1_6 = [56.3, 46.2, 45.3, 43.2, 35.1,25.3]
# y2_6 = [50.85, 38.83, 37.52, 36.31, 29.10,25.20]
# y3_6 = [55.2, 45.2, 44.2, 43.5, 35,26.3]
# y4_6 = [59,39.43,38.53, 37.67, 30.04,20.01]#
# y5_6 = [60, 45.73, 45.56, 43.54, 36.21,26.45]
#
# #y1_7 = [64, 54.65, 56.97, 55.93, 58.59,59.89]
# y2_7 = [51, 45, 45.30, 42.05, 38.75,31.10]
# y3_7 = [61, 51.78, 48.76, 45.82, 41.44,41.10]
# y4_7 = [60, 50.15, 52.05, 50.02, 48.49,42.15]  #
# y5_7 = [67, 59.54, 55.74, 52.13, 49.83,42.43]
#
# #y1_8 = [68.85, 60.45, 54.27, 60.53, 56.19,58.34]
# y2_8 = [52.85, 40.09, 38.35, 42.10, 39.09,35.32]
# y3_8 = [58.0, 51.05,48.81 , 51.33, 50.22,45.77]
# y4_8 = [61.99, 51.65, 48.33, 50.46, 50.12,48.89]#
# y5_8 = [63.86, 55.76, 49.85, 50.79, 50.38,48.74]
#
# # 创建画布和子图
# fig, axs = plt.subplots(2, 4,figsize=(20, 8))
# # 在第一个子图中绘制折线图
#
# axs[0, 0].set_xlim(0, 5)
# axs[0, 0].set_ylim(0, 70)
# axs[0, 0].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[0, 0].plot(x, y1, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# axs[0, 0].plot(x, y2, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# # #
# axs[0, 0].plot(x, y3, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[0, 0].plot(x, y4, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[0, 0].plot(x, y5, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
# axs[0, 0].set_ylabel('AUC (%)',fontsize=20)  # 设置纵坐标的名称
# axs[0, 0].set_title('Saturation',fontsize=20)
# axs[0, 0].tick_params(axis='x', labelsize=15)
# axs[0, 0].tick_params(axis='y', labelsize=15)
#
# # 在第二个子图中绘制折线图
# #axs[0, 1] = plt.subplot(gs[1])
# axs[0, 1].set_xlim(0, 5)
# axs[0, 1].set_ylim(0, 70)
# axs[0, 1].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[0, 1].plot(x, y1_2, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# # #
# axs[0, 1].plot(x, y2_2, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# # #
# axs[0, 1].plot(x, y3_2, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[0, 1].plot(x, y4_2, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[0, 1].plot(x, y5_2, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
#
# axs[0, 1].set_title('Contrast',fontsize=20)
# axs[0, 1].tick_params(axis='x', labelsize=13)
# axs[0, 1].tick_params(axis='y', labelsize=13)
#
# # 在第三个子图中绘制折线图
# #axs[0, 2] = plt.subplot(gs[2])
# axs[0, 2].set_xlim(0, 5)
# axs[0, 2].set_ylim(0, 70)
# axs[0, 2].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[0, 2].plot(x, y1_3, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# # #
# axs[0, 2].plot(x, y2_3, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# axs[0, 2].plot(x, y3_3, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[0, 2].plot(x, y4_3, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[0, 2].plot(x, y5_3, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
#
# axs[0, 2].set_title('Block-wise',fontsize=20)
# axs[0, 2].tick_params(axis='x', labelsize=13)
# axs[0, 2].tick_params(axis='y', labelsize=13)
# ###
# #axs[0, 3] = plt.subplot(gs[3])
# axs[0, 3].set_xlim(0, 5)
# axs[0, 3].set_ylim(0, 70)
# axs[0, 3].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[0, 3].plot(x, y1_4, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# # #
# axs[0, 3].plot(x, y2_4, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# # #
# axs[0, 3].plot(x, y3_4, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[0, 3].plot(x, y4_4, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[0, 3].plot(x, y5_4, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
#
# axs[0, 3].set_title('Gaussian Noise',fontsize=20)
# axs[0, 3].tick_params(axis='x', labelsize=13)
# axs[0, 3].tick_params(axis='y', labelsize=13)
# #
# # axs[1, 0] = plt.subplot(gs[4])
# axs[1, 0].set_xlim(0, 5)
# axs[1, 0].set_ylim(0, 70)
# axs[1, 0].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[1, 0].plot(x, y1_5, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
#
# axs[1, 0].plot(x, y2_5, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
#
# axs[1, 0].plot(x, y3_5, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[1, 0].plot(x, y4_5, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[1, 0].plot(x, y5_5, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
# axs[1, 0].set_ylabel('AUC (%)',fontsize=20)  # 设置纵坐标的名称
# axs[1, 0].set_title('Gaussian Blur',fontsize=20)
# axs[1, 0].set_xlabel('Severity',fontsize=20)  # 设置纵坐标的名称
# axs[1, 0].tick_params(axis='x', labelsize=13)
# axs[1, 0].tick_params(axis='y', labelsize=13)
# #
# axs[1, 1].set_xlim(0, 5)
# axs[1, 1].set_ylim(0, 70)
# axs[1, 1].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[1, 1].plot(x, y1_6, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
#
# axs[1, 1].plot(x, y2_6, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
#
# axs[1, 1].plot(x, y3_6, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[1, 1].plot(x, y4_6, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[1, 1].plot(x, y5_6, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
#
# axs[1, 1].set_title('Pixelation',fontsize=20)
# axs[1, 1].set_xlabel('Severity',fontsize=20)  # 设置纵坐标的名称
# axs[1, 1].tick_params(axis='x', labelsize=13)
# axs[1, 1].tick_params(axis='y', labelsize=13)
# #
# axs[1, 2].set_xlim(0, 5)
# axs[1, 2].set_ylim(0, 70)
# axs[1, 2].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[1, 2].plot(x, y1_7, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
#
# axs[1, 2].plot(x, y2_7, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
#
# axs[1, 2].plot(x, y3_7, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[1, 2].plot(x, y4_7, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[1, 2].plot(x, y5_7, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
#
# axs[1, 2].set_title('JPEG Compression',fontsize=20)
# axs[1, 2].set_xlabel('Severity',fontsize=20)  # 设置纵坐标的名称
# axs[1, 2].tick_params(axis='x', labelsize=13)
# axs[1, 2].tick_params(axis='y', labelsize=13)
# #
# axs[1, 3].set_xlim(0, 5)
# axs[1, 3].set_ylim(0, 70) #50 100
# axs[1, 3].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
# #axs[1, 3].plot(x, y1_8, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# axs[1, 3].plot(x, y2_8, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# axs[1, 3].plot(x, y3_8, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
# axs[1, 3].plot(x, y4_8, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
# axs[1, 3].plot(x, y5_8, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
#
# axs[1, 3].set_title('Video Compression',fontsize=25)
# axs[1, 3].set_xlabel('Severity',fontsize=25)  # 设置纵坐标的名称
# axs[1, 3].tick_params(axis='x', labelsize=13)
# axs[1, 3].tick_params(axis='y', labelsize=13)
#
# extra_ax = fig.add_subplot(111, frame_on=False)
# extra_ax.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False)
# extra_ax.set_xlabel('')  # 清空X轴标签
# extra_ax.set_ylabel('')  # 清空Y轴标签
# extra_ax.set_title('')   # 清空标题
# extra_ax.spines['top'].set_visible(False)
# extra_ax.spines['bottom'].set_visible(False)
# extra_ax.spines['left'].set_visible(False)
# extra_ax.spines['right'].set_visible(False)
# extra_ax.set_ylim(0, 0.8)  # 调整Y轴范围以增加空白间距
# extra_ax = fig.add_subplot(111, frame_on=False)
# extra_ax.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False)
# extra_ax.set_xlabel('')  # 清空X轴标签
# extra_ax.set_ylabel('')  # 清空Y轴标签
# extra_ax.set_title('')   # 清空标题
# extra_ax.spines['top'].set_visible(False)
# extra_ax.spines['bottom'].set_visible(False)
# extra_ax.spines['left'].set_visible(False)
# extra_ax.spines['right'].set_visible(False)
# extra_ax.set_ylim(0, 0.8)  # 调整Y轴范围以增加空白间距
#
# # 在画布的上方横向放置图例
# lines = [axs[0, 0].get_lines()[0], axs[0, 0].get_lines()[1], axs[0, 0].get_lines()[2],axs[0, 0].get_lines()[3]]
# legend= plt.legend(lines, [ 'CViT', 'CrossViT','EViT','CAEL(Ours)'], loc='lower center',ncol=5,prop={'size': 25})
#
# # 调整图例的位置
# legend.set_bbox_to_anchor((0.5, 1.05))
# plt.axis('off')
# # 显示图形
# plt.show()
# plt.savefig("/Users/zyn/Desktop/TIFS/Fig15.", format="png",dpi=300,bbox_inches='tight')
#
# # 隐藏最后一个子图
# #axs[1, 3]≈
# # axs[1, 1].plot(x, y1, linestyle='-', marker='>', color='blue', label='折线1')
# # # #
# # axs[1, 1].plot(x, y2, linestyle='-', marker='o', color='red', label='折线1')
# # # #
# # axs[1, 1].plot(x, y3, linestyle='-', marker='s', color='green', label='折线1')
# # axs[1, 1].plot(x, y4, linestyle='-', marker='<', color='yellow', label='折线1')
# # axs[1, 1].plot(x, y5, linestyle='-', marker='^', color='black', label='折线1')
# # axs[1, 1].set_title('Gaussian Noise')
# # 添加额外的子图
# # axs[2,0].axis('off')
# # axs[2,1].axis('off')
# # axs[2,2].axis('off')
# # axs[2,3].axis('off')

#
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import font_manager

plt.rcParams['font.family'] = 'Times New Roman'
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.gridspec as gridspec
# 数据准备
# x1 = np.arange(1, 6)  # 创建从 1 到 5 的数组 CC:contrast VC:video compression GN:gaussian noise GB:gaussian blur CS:saturation BW:block-wise GNC: pixelation
# y11 = np.arange(50, 101, 10)  # 创建从 50 到 100，间隔为 10 的数组 saturation里面的数据
x = [0,1, 2, 3, 4, 5]
#y1 = [54, 44.66, 44.72, 38.08, 40.13,37.45]  #xception
y2 = [64.91,55.61, 57.19,56.51,63.19,71.33]  # CViT
y3 = [58.32,49.09,47.27,37.30,34.24,57.59] # crossvit
y4 = [75.89,73.51,77.06,78.49,74.73,48.57] # evit 43,33.34,45.64, 34.41, 40.04,38.58
y5 = [78.99,61.44, 67.54, 65.77, 71.91, 77.04] #ours
#第二组  contrast里数据
#y1_2 = [61, 53.82, 50.95, 47.47, 38.93,31.14] #
y2_2 = [64.91,61.05,59.86,62.63,56.31,56.20]
y3_2 = [58.32,53.97,60.32,59.85,63.04,66.23]
y4_2 = [75.89,51.31,61.50,67.69,66.25,69.53]#60, 50.91, 48.28, 30.86, 28.01,24.24
y5_2 = [78.99,60.15,64.69,66.07,65.35,57.04]

#y1_3 = [63, 57.21, 58.87, 59.83, 55.44,55.20]
y2_3 = [64.91,64.54,66.25,65.90,68.11,57.73]
y3_3 = [58.32,43.69,44.07,50.70,55.19,52.70]
y4_3 = [75.89,49.11,42.01,42.27,46.95,52.88] #
y5_3 = [78.99,61.12,62.40,66.08,69.93,58.63]

#y1_4 = [20, 9.81, 1.7, 0.7, 0.11,0.02]
y2_4 = [64.91,41.91,41.69,56.98,68.77,73.73]
y3_4 = [58.32,29.98,22.22,31.81,44.17,29.53]
y4_4 = [75.89,44.61,39.17,56.69,64.68,69.72]#31, 21.52, 6.1, 0.9, 0.3,0.2
y5_4 = [78.99,43.71,43.41,58.29,70.35,75.48]

#y1_5 = [67, 61.28, 57.58, 55.90, 56.72,50.58]
y2_5 = [64.91,62.36,66.85,57.78,65.11,64.73]
y3_5 = [58.32,56.19,50.98,54.93,52.52,47.00]
y4_5 = [75.89,55.73,66.49,56.77,63.25,61.65]#
y5_5 = [78.99,61.12,62.40,64.61,65.57,67.45]

#y1_6 = [56.3, 46.2, 45.3, 43.2, 35.1,25.3]
y2_6 = [64.91, 52.83, 47.52, 46.31, 39.10,29.20] #pixcel
y3_6 = [58.32, 42.37, 40.89, 36.51, 25.78,16.3]
y4_6 = [75.89,54.17,48.98,47.95,38.05,29.89]#
y5_6 = [78.99,56.34,49.56,48.34,40.54,30.98]

#y1_8 = [68.85, 60.45, 54.27, 60.53, 56.19,58.34]VC
y2_8 = [64.91,57.02,58.48,64.47,59.96,62.93]
y3_8 = [58.32,48.77,54.75,49.27,52.55,51.88]
y4_8 = [75.89,47.86,57.18,50.74,58.39,57.85]#
y5_8 = [78.99,61.28,49.15,61.35,64.14,60.17]

# #y1_7 = [64, 54.65, 56.97, 55.93, 58.59,59.89]      jpeg
# y2_7 = [64.54,65.09,61.91,62.28,60.57,60.94]
# y3_7 = [66.19,56.65,53.53,50.99,50.40,50.30]
# y4_7 = [65.13,55.49,56.87,69.09,60.46,64.15]  #
# y5_7 = [70.14,63.78,65.66,64.57,62.55,63.25]
# 定义两个列表


# 使用列表推导式计算对应位置元素的平均值，并放入新列表
y2_7 = [(a + b+c+d+e+f+g) / 7 for a, b,c,d,e,f,g in zip(y2, y2_2,y2_3,y2_4,y2_5,y2_6,y2_8)]
y3_7 = [(a + b+c+d+e+f+g) / 7 for a, b,c,d,e,f,g in zip(y3, y3_2,y3_3,y3_4,y3_5,y3_6,y3_8)]
y4_7 = [(a + b+c+d+e+f+g) / 7 for a, b,c,d,e,f,g in zip(y4, y4_2,y4_3,y4_4,y4_5,y4_6,y4_8)]
y5_7 = [(a + b+c+d+e+f+g) / 7 for a, b,c,d,e,f,g in zip(y5, y5_2,y5_3,y5_4,y5_5,y5_6,y5_8)]

# 输出新列表


# 创建画布和子图
fig, axs = plt.subplots(2, 5,figsize=(25, 8))
# 在第一个子图中绘制折线图

axs[0, 0].set_xlim(0, 5)
axs[0, 0].set_ylim(0, 90)
axs[0, 0].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[0, 0].plot(x, y1, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
axs[0, 0].plot(x, y2, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# #
axs[0, 0].plot(x, y3, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[0, 0].plot(x, y4, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[0, 0].plot(x, y5, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
axs[0, 0].set_ylabel('AUC (%)',fontsize=25)  # 设置纵坐标的名称
axs[0, 0].set_title('Saturation',fontsize=25)
axs[0, 0].tick_params(axis='x', labelsize=13)
axs[0, 0].tick_params(axis='y', labelsize=13)

# 在第二个子图中绘制折线图
#axs[0, 1] = plt.subplot(gs[1])
axs[0, 1].set_xlim(0, 5)
axs[0, 1].set_ylim(0, 90)
axs[0, 1].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[0, 1].plot(x, y1_2, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# #
axs[0, 1].plot(x, y2_2, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# #
axs[0, 1].plot(x, y3_2, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[0, 1].plot(x, y4_2, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[0, 1].plot(x, y5_2, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[0, 1].set_title('Contrast',fontsize=25)
axs[0, 1].tick_params(axis='x', labelsize=13)
axs[0, 1].tick_params(axis='y', labelsize=13)

# 在第三个子图中绘制折线图
#axs[0, 2] = plt.subplot(gs[2])
axs[0, 2].set_xlim(0, 5)
axs[0, 2].set_ylim(0, 90)
axs[0, 2].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[0, 2].plot(x, y1_3, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# #
axs[0, 2].plot(x, y2_3, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
axs[0, 2].plot(x, y3_3, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[0, 2].plot(x, y4_3, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[0, 2].plot(x, y5_3, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[0, 2].set_title('Block-wise',fontsize=25)
axs[0, 2].tick_params(axis='x', labelsize=13)
axs[0, 2].tick_params(axis='y', labelsize=13)
###
#axs[0, 3] = plt.subplot(gs[3])
axs[0, 3].set_xlim(0, 5)
axs[0, 3].set_ylim(0, 90)
axs[0, 3].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[0, 3].plot(x, y1_4, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# #
axs[0, 3].plot(x, y2_4, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# #
axs[0, 3].plot(x, y3_4, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[0, 3].plot(x, y4_4, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[0, 3].plot(x, y5_4, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[0, 3].set_title('Gaussian Noise',fontsize=25)
axs[0, 3].tick_params(axis='x', labelsize=13)
axs[0, 3].tick_params(axis='y', labelsize=13)

axs[0, 3].set_xlim(0, 5)
axs[0, 3].set_ylim(0, 90)
axs[0, 3].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[0, 3].plot(x, y1_4, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
# #
axs[0, 3].plot(x, y2_4, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
# #
axs[0, 3].plot(x, y3_4, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[0, 3].plot(x, y4_4, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[0, 3].plot(x, y5_4, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[0, 3].set_title('Gaussian Noise',fontsize=25)
axs[0, 3].tick_params(axis='x', labelsize=13)
axs[0, 3].tick_params(axis='y', labelsize=13)
# axs[1, 0] = plt.subplot(gs[4])
axs[1, 0].set_xlim(0, 5)
axs[1, 0].set_ylim(0, 90)
axs[1, 0].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[1, 0].plot(x, y1_5, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')

axs[1, 0].plot(x, y2_5, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')

axs[1, 0].plot(x, y3_5, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[1, 0].plot(x, y4_5, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[1, 0].plot(x, y5_5, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')
axs[1, 0].set_ylabel('AUC (%)',fontsize=25)  # 设置纵坐标的名称
axs[1, 0].set_title('Gaussian Blur',fontsize=25)
axs[1, 0].set_xlabel('Severity',fontsize=25)  # 设置纵坐标的名称
axs[1, 0].tick_params(axis='x', labelsize=13)
axs[1, 0].tick_params(axis='y', labelsize=13)
#
axs[1, 1].set_xlim(0, 5)
axs[1, 1].set_ylim(0, 90)
axs[1, 1].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[1, 1].plot(x, y1_6, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')

axs[1, 1].plot(x, y2_6, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')

axs[1, 1].plot(x, y3_6, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[1, 1].plot(x, y4_6, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[1, 1].plot(x, y5_6, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[1, 1].set_title('Pixelation',fontsize=25)
axs[1, 1].set_xlabel('Severity',fontsize=25)  # 设置纵坐标的名称
axs[1, 1].tick_params(axis='x', labelsize=13)
axs[1, 1].tick_params(axis='y', labelsize=13)
#
axs[1, 3].set_xlim(0, 5)
axs[1, 3].set_ylim(0, 90)
axs[1, 3].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[1, 2].plot(x, y1_7, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')

axs[1, 3].plot(x, y2_7, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')

axs[1, 3].plot(x, y3_7, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[1, 3].plot(x, y4_7, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[1, 3].plot(x, y5_7, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[1, 3].set_title('Average',fontsize=25)
axs[1, 3].set_xlabel('Severity',fontsize=25)  # 设置纵坐标的名称
axs[1, 3].tick_params(axis='x', labelsize=13)
axs[1, 3].tick_params(axis='y', labelsize=13)
#
axs[1, 2].set_xlim(0, 5)
axs[1, 2].set_ylim(0, 90) #50 100
axs[1, 2].set_xticks(np.arange(0, 6))  # 设置 x 轴的刻度位置
#axs[1, 3].plot(x, y1_8, linestyle='-', linewidth=3,marker='>',markersize=12, color='blue', label='Saturation')
axs[1, 2].plot(x, y2_8, linestyle='--', linewidth=3, marker='*', markersize=12,color='red', label='Contrast')
axs[1, 2].plot(x, y3_8, linestyle='--', linewidth=3,marker='s', markersize=12,color='green', label='折线1')
axs[1, 2].plot(x, y4_8, linestyle=':', linewidth=3,marker='o', markersize=12,color='c', label='折线1')
axs[1, 2].plot(x, y5_8, linestyle='-', linewidth=3,marker='^', markersize=12,color='black', label='折线1')

axs[1, 2].set_title('Video Compression',fontsize=25)
axs[1, 2].set_xlabel('Severity',fontsize=25)  # 设置纵坐标的名称
axs[1, 2].tick_params(axis='x', labelsize=13)
axs[1, 2].tick_params(axis='y', labelsize=13)

axs[1, 4].set_xlim(0, 5)
axs[1, 4].set_ylim(0, 70)
axs[1, 4].set_xticks(np.arange(0, 6))
axs[1, 4].plot(x, y5, linestyle='-', linewidth=3, marker='^', markersize=12, color='black', label='Ours')
axs[1, 4].set_title('Saturation', fontsize=20)
axs[1, 4].set_xlabel('Severity', fontsize=20)
axs[1, 4].tick_params(axis='x', labelsize=13)
axs[1, 4].tick_params(axis='y', labelsize=13)
# Create a clean empty subplot for extra formatting
extra_ax = fig.add_subplot(111, frame_on=False)
extra_ax.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False)
extra_ax.set_xlabel('')  # Remove X-axis label
extra_ax.set_ylabel('')  # Remove Y-axis label
extra_ax.set_title('')   # Remove title
extra_ax.spines['top'].set_visible(False)
extra_ax.spines['bottom'].set_visible(False)
extra_ax.spines['left'].set_visible(False)
extra_ax.spines['right'].set_visible(False)
extra_ax.set_ylim(0, 0.8)  # Adjust Y-axis range for white space
# extra_ax = fig.add_subplot(111, frame_on=False)
# extra_ax.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False)
# extra_ax.set_xlabel('')  # 清空X轴标签
# extra_ax.set_ylabel('')  # 清空Y轴标签
# extra_ax.set_title('')   # 清空标题
# extra_ax.spines['top'].set_visible(False)
# extra_ax.spines['bottom'].set_visible(False)
# extra_ax.spines['left'].set_visible(False)
# extra_ax.spines['right'].set_visible(False)
# extra_ax.set_ylim(0, 0.8)  # 调整Y轴范围以增加空白间距
# extra_ax = fig.add_subplot(111, frame_on=False)
# extra_ax.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False)
# extra_ax.set_xlabel('')  # 清空X轴标签
# extra_ax.set_ylabel('')  # 清空Y轴标签
# extra_ax.set_title('')   # 清空标题
# extra_ax.spines['top'].set_visible(False)
# extra_ax.spines['bottom'].set_visible(False)
# extra_ax.spines['left'].set_visible(False)
# extra_ax.spines['right'].set_visible(False)
# extra_ax.set_ylim(0, 0.8)  # 调整Y轴范围以增加空白间距

# 在画布的上方横向放置图例
lines = [axs[0, 0].get_lines()[0], axs[0, 0].get_lines()[1], axs[0, 0].get_lines()[2],axs[0, 0].get_lines()[3]]
legend= plt.legend(lines, ['FreqNet','CLIP','DIRE','MFVRL (Ours)'], loc='lower center',ncol=5,prop={'size': 25})

# 调整图例的位置
legend.set_bbox_to_anchor((0.5, 1.05))
plt.axis('off')
# 显示图形
plt.show()
#plt.savefig("/Users/zyn/Desktop/IEEE-Transactions-LaTeX2e-templates-and-instructions (1)/Figrobust.png", format="png",dpi=300,bbox_inches='tight')

# 隐藏最后一个子图
#axs[1, 3]≈
# axs[1, 1].plot(x, y1, linestyle='-', marker='>', color='blue', label='折线1')
# # #
# axs[1, 1].plot(x, y2, linestyle='-', marker='o', color='red', label='折线1')
# # #
# axs[1, 1].plot(x, y3, linestyle='-', marker='s', color='green', label='折线1')
# axs[1, 1].plot(x, y4, linestyle='-', marker='<', color='yellow', label='折线1')
# axs[1, 1].plot(x, y5, linestyle='-', marker='^', color='black', label='折线1')
# axs[1, 1].set_title('Gaussian Noise')
# 添加额外的子图
# axs[2,0].axis('off')
# axs[2,1].axis('off')
# axs[2,2].axis('off')
# axs[2,3].axis('off')