如何根据列表的现有或相反顺序创建新数组Python

问题描述 投票:0回答:2

我在一个数组中有2个列表。我想切换列表顺序。列表2变为列表1,列表1变为列表2。我将为您提供一些有关如何有效切换这些列表的帮助。谢谢

我在python中有以下代码。

RestoredData_Array = np.dot(featuresT.reshape(2,2), FinalData1_Matrix.reshape(2,20))
RestoredData_Array

实际结果:

array([

   [  2.3065    ,   9.21202097,   2.03334271,   8.12104732,
      1.02492108,   4.09347257,  -0.54700703,  -2.18471288,
      0.15896622,   0.63490144,  -0.51904295,  -2.07302602,
     -2.11190708,  -8.43482867,  -3.33826623, -13.33283264,
     -3.24268925, -12.95110399,  -3.39616989, -13.56409637],

   [ -9.93383348, -39.6751278 , -11.51169937, -45.9770284 ,
    -13.27291919, -53.01123343, -12.73236969, -50.85231155,
    -13.35424863, -53.33605825, -14.86736232, -59.37934246,
    -17.41605181, -69.55865355, -17.84717309, -71.28052577,
    -19.07951685, -76.20243193, -20.72810021, -82.78677378]])

所需结果:

array([

   [ -9.93383348, -39.6751278 , -11.51169937, -45.9770284 ,
    -13.27291919, -53.01123343, -12.73236969, -50.85231155,
    -13.35424863, -53.33605825, -14.86736232, -59.37934246,
    -17.41605181, -69.55865355, -17.84717309, -71.28052577,
    -19.07951685, -76.20243193, -20.72810021, -82.78677378]

    [  2.3065    ,   9.21202097,   2.03334271,   8.12104732,
      1.02492108,   4.09347257,  -0.54700703,  -2.18471288,
      0.15896622,   0.63490144,  -0.51904295,  -2.07302602,
     -2.11190708,  -8.43482867,  -3.33826623, -13.33283264,
     -3.24268925, -12.95110399,  -3.39616989, -13.56409637]])
python arrays switch-statement
2个回答
0
投票

看起来您想要的就是将[a, b]更改为[b, a],其中ab是您的列表。

有很多方法。下面的代码是最短的,可用于列表和numpy数组。

Reversed_Array = RestoredData_Array[::-1]

这是切片技巧。请参阅here以了解其工作原理。


0
投票

交换两个数组的值:

a=[1]
b=[2]
a,b = b,a
print(a)
print(b)

交换嵌套数组的值:

c=[[1],[2]] # here c[0] have value [1] & c[1] have value [2] 
c[0],c[1] = c[1],c[0] # here we are interchanging the value of c[0] & c[1]
print(c)

这些示例可以帮助您转换数组

对于您的代码,这可能有效:

RestoredData_Array = np.dot(featuresT.reshape(2,2), FinalData1_Matrix.reshape(2,20))
RestoredData_Array[0],RestoredData_Array[1] = RestoredData_Array[1],RestoredData_Array[0]
print(RestoredData_Array)
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