numpy随机数

           >>> np.random.randint(2, size=10)
            array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0]) # random
            >>> np.random.randint(1, size=10)
            array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
    
            Generate a 2 x 4 array of ints between 0 and 4, inclusive:
    
            >>> np.random.randint(5, size=(2, 4))
            array([[4, 0, 2, 1], # random
                   [3, 2, 2, 0]])
    
            Generate a 1 x 3 array with 3 different upper bounds
    
            >>> np.random.randint(1, [3, 5, 10])
            array([2, 2, 9]) # random
    
            Generate a 1 by 3 array with 3 different lower bounds
    
            >>> np.random.randint([1, 5, 7], 10)
            array([9, 8, 7]) # random
    
            Generate a 2 by 4 array using broadcasting with dtype of uint8
    
            >>> np.random.randint([1, 3, 5, 7], [[10], [20]], dtype=np.uint8)
            array([[ 8,  6,  9,  7], # random
                   [ 1, 16,  9, 12]], dtype=uint8)
原文地址:https://www.cnblogs.com/DDBD/p/13706291.html