有没有一种简单的方法可以添加到我的原始代码中，以便我可以在子图的两列中添加另一个标题？例如像下面图片中所示的粉红色区域中的某处。
有人建议我看看这个post的解决方案，但我想看看是否有一个方法不使用for循环

我的代码：

import cv2
import numpy as np
import matplotlib.pyplot as plt

path = 'R:\\Temp\\xx\\'
path1 = 'R:\\Temp\\xx\\'

def Hue(im_file):
    im = cv2.imread(im_file)
    im = cv2.cvtColor(im, cv2.COLOR_BGR2HSV_FULL) # Get Hue value= range[0,360]
    im1 = im[776, 402]
    Hue = im1[0]
    return Hue

def Saturation(im_file):
    im = cv2.imread(im_file)
    im = cv2.cvtColor(im, cv2.COLOR_BGR2HSV_FULL) #return Saturation value = range[0,255]
    im1 = im[776, 402]
    Saturation = im1[1]
    return Saturation

def Value(im_file):
    im = cv2.imread(im_file)
    im = cv2.cvtColor(im, cv2.COLOR_BGR2HSV_FULL) #return Value(Brightness) value = range[0,255]
    im1 = im[776, 402]
    Value = im1[2]
    return Value   

def BlueComponent(im_file):
    im = cv2.imread(im_file) #return blue value
    im1 = im[776, 402]
    b = im1[0]
    return b

def GreenComponent(im_file):
    im = cv2.imread(im_file) #return green value 
    im1 = im[776, 402]
    g = im1[1]
    return g

def RedComponent(im_file): #return red value 
    im = cv2.imread(im_file)
    im1 = im[776, 402]
    r = im1[2]
    return r

myHueList = []
mySaturationList = []
myValueList = []
myBlueList = []
myGreenList = []
myRedList = []
myList = []
num_images = 99 # number of images

dotPos = 0
for i in range(1770, 1869): # loop to auto-generate image names and run prior function 
    image_name = path + 'Cropped_Aligned_IMG_' + str(i) + '.png' # for loop runs from image number 1770 to 1868
    myHueList.append(Hue(image_name))
    mySaturationList.append(Saturation(image_name))
    myValueList.append(Value(image_name))
    myBlueList.append(BlueComponent(image_name))
    myGreenList.append(GreenComponent(image_name))
    myRedList.append(RedComponent(image_name))
    myList.append(dotPos)
    dotPos = dotPos + 0.5

print(myBlueList)
print(myGreenList)
print(myRedList)
print(myHueList)
print(mySaturationList)
print(myValueList)
print(myList)


for k in range(1770,1869):
    a = 'Cropped_Aligned_IMG_' + str(k)
    image_name = path + a + '.png'
    img_file = cv2.imread(image_name)

x = myList
y = myBlueList
y1 = myGreenList
y2 = myRedList
y3 = myHueList
y4 = mySaturationList
y5 = myValueList

plt.axes([0.1, 0.1, 1, 1])
plt.suptitle('BGR & HSV Color Decimal Code Against Function of Time(Hours)', fontsize=14, fontweight='bold')
plt.subplot(3,2,1)
plt.plot(x, y, 'b.-')
plt.title('Blue Component Color Decimal Code')
plt.xlabel('Time(Hours)')
plt.ylabel('Colour Code')

plt.subplot(3,2,3)
plt.plot(x, y1, 'g.-')
plt.title('Green Component Color Decimal Code')
plt.xlabel('Time(Hours)')
plt.ylabel('Colour Code')

plt.subplot(3,2,5)
plt.plot(x, y2, 'r.-')
plt.title('Red Component Color Decimal Code')
plt.xlabel('Time(Hours)')
plt.ylabel('Colour Code')

plt.subplot(3,2,2)
plt.plot(x, y3, 'b.-')
plt.title('Hue Component HSV Color Decimal Code')
plt.xlabel('Time(Hours)')
plt.ylabel('Colour Code')

plt.subplot(3,2,4)
plt.plot(x, y4, 'g.-')
plt.title('Saturation Component HSV Color Decimal Code')
plt.xlabel('Time(Hours)')
plt.ylabel('Colour Code')

plt.subplot(3,2,6)
plt.plot(x, y5, 'r.-')
plt.title('Value Component HSV Color Decimal Code')
plt.xlabel('Time(Hours)')
plt.ylabel('Colour Code')
plt.subplots_adjust(hspace = 0.5)
plt.show()