如何从数组中删除所有字符，只留下数字？

Question

我正在使用 sklearn.MLPClassifer 并且我将我的权重导出到一个 txt 文件中：

arr = list(np.array(model.coefs_, dtype = object))
file = open("weightss.txt", "w+")
file.write (str(arr))
file.close()

问题是，model.coefs_ 中每个 [] 的权重都不相同，并且它与“数组”和我不想要的其他字符一起导出。如何从此数组中仅导出数字（浮点型）？

我得到的输出：

array([[ 0.055124  ,  0.04365641, -0.0271139 , ...,  0.02899075,
         -0.14442606, -0.04212195],
        [-0.01849607, -0.01092366,  0.01105672, ..., -0.00383433,
         -0.23810516,  0.03760549],
        [ 0.02357766, -0.04846305,  0.0028944 , ..., -0.00372297,
         -0.23913875,  0.03809774],
        ...,
        [ 0.04734891,  0.00075733,  0.05273402, ...,  0.02994463,
         -0.00568819, -0.05830916],
        [ 0.12168126,  0.06481046,  0.03357674, ..., -0.06854297,
          0.00458801, -0.06863405],
        [ 0.09052689, -0.03500097, -0.06934987, ..., -0.05713005,
         -0.04042818, -0.07102473]])
 array([[ 6.49345111e-01, -2.80867026e+00, -4.47025490e-01,
          5.47926183e-02, -2.32258820e-01,  3.00891945e-01,
         -3.28820315e+00, -1.11907300e+00,  2.13128839e-01,
         -2.60551663e+00,  2.42408007e+00, -1.31142015e+00,
         -7.13036636e-01,  2.98367056e+00,  1.23166718e+00,
          1.84157657e+00,  2.50413248e-01, -6.74166192e-01,
         -1.04169355e-01, -8.85277883e-01],
        [ 3.82943554e-02, -1.3093057

等等... 我希望它只是数字，没有那些“，”和其他字符，所以我可以将它导入回去以学习这些权重。

Answer 1

您可以尝试类似的方法：

import os

with open('weightss.txt', 'w') as fp:
    for a in model.coefs_:
        np.savetxt(fp, a, fmt='%f')
        fp.write(os.linesep)

演示：

rng = np.random.default_rng(2022)
coefs = [np.array(rng.random((4, 5))), np.array(rng.random((5, 1)))]
print(coefs)

# Output
[array([[0.24742606, 0.09299006, 0.61176337, 0.06066207, 0.66103343],
        [0.75515778, 0.1108689 , 0.04305584, 0.41441747, 0.98862926],
        [0.96919869, 0.25697153, 0.55876211, 0.24234798, 0.32202029],
        [0.89135975, 0.94611366, 0.72253931, 0.92847437, 0.99608701]]),
 array([[0.2494223 ],
        [0.06229007],
        [0.94479027],
        [0.65028587],
        [0.32167568]])]

weightss.txt的内容：

0.247426 0.092990 0.611763 0.060662 0.661033
0.755158 0.110869 0.043056 0.414417 0.988629
0.969199 0.256972 0.558762 0.242348 0.322020
0.891360 0.946114 0.722539 0.928474 0.996087

0.249422
0.062290
0.944790
0.650286
0.321676

如何从数组中删除所有字符，只留下数字？

How to remove all chars from an array, leaving it only numbers?

python

arrays

numpy

mlp