在suptitle下面的subplot列中添加標題

Question

是否有一種簡單的方法可以添加到我的原始代碼中，這樣我就可以將另一個標題添加到我的子圖的兩列中？例如像下圖所示的粉紅色區域中的某處。

有人指我看看這個post的解決方案，但我想看看是否有不使用for循環

我的代碼的方法：

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() 

Answer 1

我可以設想在頂部創建一排空的子圖，每個子圖都有自己的標題將作爲列標題。

import matplotlib.pyplot as plt 
import numpy as np 
plt.rcParams["figure.figsize"] = 6,8 
colors = plt.rcParams["axes.prop_cycle"].by_key()["color"] 

x = np.linspace(-3,3) 
y = np.random.randn(len(x),6) 

fig, axes = plt.subplots(ncols=2, nrows=3+1, gridspec_kw={"height_ratios":[0.02,1,1,1]}) 
fig.suptitle('Some long super title for the complete figure', 
      fontsize=14, fontweight='bold') 
for i, ax in enumerate(axes.flatten()[2:]): 
    ax.plot(x,y[:,i], color=colors[i%6]) 
    ax.set_title("Title {}".format(i+1)) 

for i, ax in enumerate(axes.flatten()[:2]): 
    ax.axis("off") 
    ax.set_title("Columntitle {}".format(i+1), fontweight='bold') 

fig.subplots_adjust(hspace=0.5, bottom=0.1) 
plt.show() 

請注意，我在這裏使用循環爲了把事情簡單化。當然，如果出於任何原因，您可以單獨鍵入每個子圖的命令。