matplotlib example.

letter.py

import numpy as np
import matplotlib.pyplot as plt
 
# data to plot
letter_values = (90, 55, 40, 65, 85, 62, 54, 20, 33, 54)
letters = {'A': 90, 'B': 55, 'C': 40, 'D': 65, 'E': 85, 'F': 62, 'G': 54, 'H': 20, 'I': 33, 'J': 54}


colors = ["#F46716", "#20EA71", "#228FF4", "#F725B8", "#E8F235", 
            "#F9ECC9", "#F9CEAC", "#F7B672", "#F7917B","#FC6B8A"]

# create plot

index = np.arange(len(letters))
bar_width = 0.35
opacity = 0.8
 
i = 0
for k, v in letters.items():
    plt.barh(k, v, bar_width,
                 alpha=opacity,
                 color=colors[i],
                 label=k)
    i = i + 1
 
 
plt.ylabel('Letters')
plt.xlabel('Scores')
plt.title('Scores by Letters')
plt.yticks(index, letters)
plt.legend(loc='lower center', prop={'size':6}, bbox_to_anchor=(0.5,-0.6))
 
plt.tight_layout(pad=5)
plt.show()