import numpy

1.创建一个矩阵¶

vector=numpy.array([1,2,3,4,5,6])
print(vector)

[1 2 3 4 5 6]

2.创建多维矩阵——常用最大值最小值函数¶

vector=numpy.array([
    [1,2,3,4],
    [1,2,3,4],
    [1,2,3,5]
])
print(vector)
print("----最值------")
print(vector.min())
print(vector.max())
print(vector.sum())

[[1 2 3 4]
 [1 2 3 4]
 [1 2 3 5]]
----最值------
1
5
31

print(vector.sum(axis=1))
print(vector.sum(axis=0))

[10 10 11]
[ 3  6  9 13]

ary=numpy.arange(15)   #生产矩阵
print(ary)
ary=numpy.arange(1,50,2)   #生产矩阵
print(ary)

[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14]
[ 1  3  5  7  9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49]

ary.reshape(3,5)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-9-576d1d57b3f2> in <module>()
----> 1ary.reshape(3,5)

ValueError: cannot reshape array of size 25 into shape (3,5)

ary.reshape(5,3)

array([[ 0,  1,  2],
       [ 3,  4,  5],
       [ 6,  7,  8],
       [ 9, 10, 11],
       [12, 13, 14]])

ary.size

15

numpy.zeros((3,5))

array([[ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.]])

numpy.ones((2,3,2),dtype=numpy.int32)

array([[[1, 1],
        [1, 1],
        [1, 1]],

       [[1, 1],
        [1, 1],
        [1, 1]]])

#随机数
numpy.random.random()

0.4937280824938821

#随机矩阵
numpy.random.random((2,3))

array([[ 0.32794465,  0.38478974,  0.84989759],
       [ 0.43801213,  0.43802513,  0.9928669 ]])

这里是markdown¶

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（4）Numpy+矩阵计算+和生成

1.创建一个矩阵¶

2.创建多维矩阵——常用最大值最小值函数¶

这里是markdown¶