import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
a = [10,12,9,8,14,15,10,12,5,3,9,17,13,14,4,8,11,16,12,10,10,6,11]
np.min(a), np.max(a)
(3, 17)
plt.hist(a)
(array([2., 1., 1., 2., 2., 6., 3., 3., 1., 2.]),
 array([ 3. ,  4.4,  5.8,  7.2,  8.6, 10. , 11.4, 12.8, 14.2, 15.6, 17. ]),
 <BarContainer object of 10 artists>)
np.mean(a), np.median(a)
(10.391304347826088, 10.0)
a.append(100)
plt.hist(a)
(array([17.,  6.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.]),
 array([  3. ,  12.7,  22.4,  32.1,  41.8,  51.5,  61.2,  70.9,  80.6,
         90.3, 100. ]),
 <BarContainer object of 10 artists>)
np.mean(a), np.median(a)
(14.125, 10.5)