python - Adding title to the column of subplot below suptitle -


is there simple way add in original code can add title both column of subplot? example somewhere in pink region shown in picture below.

someone refer me @ post solution looking see if there method without using loop

enter image description here

my code:

import cv2 import numpy np import matplotlib.pyplot plt   path = 'r:\\temp\\ming\\' path1 = 'r:\\temp\\ming\\'  def hue(im_file):     im = cv2.imread(im_file)     im = cv2.cvtcolor(im, cv2.color_bgr2hsv_full) # 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 in range(1770, 1869): # loop auto-generate image names , run prior function      image_name = path + 'cropped_aligned_img_' + str(i) + '.png' # loop runs image number 1770 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)    k in range(1770,1869):     = 'cropped_aligned_img_' + str(k)     image_name = path + + '.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()

i imagine creating empty row of subplots @ top, each of subplots having own title act column title.

import matplotlib.pyplot plt import numpy 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 complete figure',               fontsize=14, fontweight='bold') i, ax in enumerate(axes.flatten()[2:]):     ax.plot(x,y[:,i], color=colors[i%6])     ax.set_title("title {}".format(i+1))  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()

enter image description here

note i'm using loops here in order simplify things. of course can type in commands each subplots individually, if desireable reason.


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