Python3: 数组

1. 生成随机整数数组

numpy.random.randint(number, high=, size=())
number: 生成数组所用随机整数的下限，包含
high=: 生成数组所有随机整数的上限，不包含
size=: 数组的维度，依次为 行, 列 等；数组可以有 一维，二维，三维 等

>>> import numpy as np
>>> 
>>> 
>>> kk = np.random.randint(3,10,size=(5,6))
>>> kk
array([[6, 7, 6, 4, 3, 4],
       [3, 4, 9, 9, 8, 8],
       [6, 6, 8, 7, 9, 3],
       [5, 8, 9, 3, 7, 3],
       [3, 9, 6, 7, 5, 7]])
>>> 
>>> type(kk)
<class 'numpy.ndarray'>
>>> 
>>> kk = np.random.randint(3,10,size=(2,3,4))
>>> kk
array([[[6, 6, 9, 4],
        [3, 6, 4, 6],
        [4, 4, 3, 6]],

       [[6, 7, 4, 5],
        [6, 8, 4, 3],
        [4, 8, 3, 4]]])

2. 查看数组维度

numpy.shape(array_name) : 调用numpy中的shape()函数来查看数组对象的维度属性
array_name.shape : 调用numpy数组对象的维度属性

>>> import numpy as np
>>> 
>>> 
>>> kk = np.random.randint(3,10,size=(5,6))
>>> np.shape(kk)
(5, 6)
>>> kk.shape
(5, 6)
>>> 
>>> kk = np.random.randint(3,10,size=(2,3,4))
>>> np.shape(kk)
(2, 3, 4)
>>> kk.shape
(2, 3, 4)