Sampling (Integer)¶

random.choice( a, size=None, replace=True, p=None)  # a=integer, return <size> integers < a
random.choice( a, size=None, replace=True, p=None)  # a=array-like, return <size> integers picked from list a

In [112]:

np.random.choice (100, size=10)

Out[112]:

array([47, 93, 17, 31, 23, 32, 62, 10, 15, 68])

In [113]:

np.random.choice( [1,3,5,7,9,11,13,15,17,19,21,23], size=10, replace=False)

Out[113]:

array([13, 17,  3,  5,  1, 21, 23,  9,  7, 11])