Plotting order of dominance

hist.py

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

class DominantColors:

    def plotHistogram(self):
       
        #labels form 0 to no. of clusters
        numLabels = np.arange(0, self.CLUSTERS+1)
       
        #create frequency count tables    
        (hist, _) = np.histogram(self.LABELS, bins = numLabels)
        hist = hist.astype("float")
        hist /= hist.sum()
        
        #appending frequencies to cluster centers
        colors = self.COLORS
        
        #descending order sorting as per frequency count
        colors = colors[(-hist).argsort()]
        hist = hist[(-hist).argsort()] 
        
        #creating empty chart
        chart = np.zeros((50, 500, 3), np.uint8)
        start = 0
        
        #creating color rectangles
        for i in range(self.CLUSTERS):
            end = start + hist[i] * 500
            
            #getting rgb values
            r = colors[i][0]
            g = colors[i][1]
            b = colors[i][2]
            
            #using cv2.rectangle to plot colors
            cv2.rectangle(chart, (int(start), 0), (int(end), 50), (r,g,b), -1)
            start = end	
        
        #display chart
        plt.figure()
        plt.axis("off")
        plt.imshow(chart)
        plt.show()