如何将 3d 数组写入文本文件

Question

我有这样的数组：[[-3.75536609e+00  9.41899478e-01  1.59805989e+00 -8.97728577e-02  -3.67324662e+00  2.85971731e-01] [-1.48593640e+00  6.56555116e-01  6.41966641e-01 -2.62360811e-01  -4.66498184e+00 -8.62938017e-02] [ 7.05197873e-03 -4.12116805e-03 -1.30933505e-02  5.76611329e-03  -6.51661423e-04 -9.73143987e-03] ... [ 7.28487849e-01 -2.02445209e-01 -1.56245055e-02 -1.48709917e+00  -4.94436502e+00 -1.88474905e+00] [ 6.85976565e-01 -1.20424531e-01 -2.20480785e-01 -1.23380101e+00  -3.60452390e+00 -1.54651344e+00] [ 1.47314686e-02  1.42228836e-02 -1.20135369e-02 -4.32784623e-03  -8.07471294e-03  2.29109559e-04]][-0.6025902  -0.31237862 -1.2150506   3.072987   -1.3560013  -1.0883616 ]我希望能够将此数组写入文本文件。每个元素都应逐行打印。例如，第一个看起来像这样-3.75536609e+00  9.41899478e-01  1.59805989e+00 -8.97728577e-02 -3.67324662e+00  2.85971731e-01我该怎么做呢？

Answer 1

如果这些是numpy数组，您可以使用np.savetxtwith delimiter='\n'，并枚举您的数组：

给定数组x：

>>> x

array([[-3.75536609e+00,  9.41899478e-01,  1.59805989e+00,

        -8.97728577e-02, -3.67324662e+00,  2.85971731e-01],

       [-1.48593640e+00,  6.56555116e-01,  6.41966641e-01,

        -2.62360811e-01, -4.66498184e+00, -8.62938017e-02],

       [ 7.05197873e-03, -4.12116805e-03, -1.30933505e-02,

         5.76611329e-03, -6.51661423e-04, -9.73143987e-03]])

用：

[np.savetxt(f'array{n}.txt',i,delimiter='\n') for n,i in enumerate(x)]

你会得到 3 个文本文件：

array0.txt 将：

-3.755366089999999879e+00

9.418994779999999567e-01

1.598059890000000038e+00

-8.977285769999999998e-02

-3.673246620000000018e+00

2.859717310000000068e-01

等等...

[编辑]看来我误解了你的问题。如果您只想要一个 txt 文件，请使用：

np.savetxt('array.txt', x.flatten(), delimiter='\n')

这将给出array.txt：

-3.755366089999999879e+00

9.418994779999999567e-01

1.598059890000000038e+00

-8.977285769999999998e-02

-3.673246620000000018e+00

2.859717310000000068e-01

-1.485936399999999935e+00

6.565551160000000497e-01

6.419666410000000045e-01

-2.623608110000000271e-01

-4.664981840000000268e+00

-8.629380170000000572e-02

7.051978730000000098e-03

-4.121168050000000374e-03

-1.309335049999999986e-02

5.766113290000000370e-03

-6.516614230000000382e-04

-9.731439870000000575e-03