python - 如何将 Python NdArray 转换为 String 并返回 NdArray ？（在这种情况下）

Question

我希望将存储在字典中的人脸编码以简单文本的形式存储在数据库中。所以，字典看起来像这样......

Numpy 数组中的简单数据

array([[-0.24684101,  1.0770087 , -0.46549857,  0.6899651 , -0.0172088 ,
         0.01917161,  2.4694798 , -2.6767805 , -0.50126964,  0.8047828 ,
        -0.21555606, -1.5408617 , -2.5809233 , -2.22431   , -1.2130492 ,
         1.08409   ,  1.2381219 ,  1.3944834 , -0.44548434,  0.12717676,
         1.611825  ,  0.25434235,  0.97729284, -1.131029  , -0.01471538,
         0.09575878,  0.10347354, -0.919141  , -0.20919399,  1.0275906 ,
        -0.72333205,  0.49255764, -1.2665565 ,  0.03819553,  2.3665667 ,
        -1.690517  , -0.293503  ,  0.89463717,  2.0341184 , -0.5328591 ,
        -1.1375701 , -0.39930856, -1.1450138 ,  2.0410218 ,  1.8398683 ,
        -0.97768176, -0.64299   ,  0.28698102, -0.52683306,  2.1747525 ,
        -1.0573564 , -0.6905593 , -0.4804876 ,  0.32964003,  0.3177481 ,
         1.2425584 ,  0.7790326 ,  0.27686158, -1.7098534 , -0.99255556,
        -0.7112258 , -1.7642928 ,  0.5029412 , -1.4172037 , -1.5987507 ,
         2.1605237 , -0.6220295 ,  0.5533376 ,  0.6955076 , -1.2478447 ,
        -1.5054828 , -0.12723197, -0.50764024, -1.234578  , -0.04605554,
        -0.6447917 , -1.6816235 , -1.0286163 , -0.47162792, -0.20693539,
         0.0860045 ,  0.5372213 ,  0.29363748,  0.91555727,  0.52423084,
         1.4659382 ,  0.6950233 , -0.65398884, -0.91441524,  0.95101625,
        -0.33743462,  0.2010487 ,  0.4070103 ,  0.8570372 , -0.414096  ,
        -1.2613487 , -0.12721302, -1.9749248 , -1.0874395 , -0.45438108,
        -1.0385392 ,  1.0453774 , -0.5049066 ,  0.16661291,  0.10959264,
        -2.547219  , -0.49483693,  0.7551471 , -0.7333046 , -0.45841357,
         1.0003595 , -0.7349028 ,  1.5753592 ,  1.7150695 , -2.0518181 ,
         0.218887  ,  0.3429606 ,  0.80745304, -0.9821863 ,  0.59469235,
         1.0098441 ,  1.4132774 ,  0.69519347, -1.5112026 , -2.7171316 ,
         0.5496241 , -1.0044149 , -1.2788291 ],
       [-0.6814048 , -1.678967  , -0.6895096 ,  0.73741305,  0.8187343 ,
        -0.25810438, -0.02746152, -1.5952878 , -1.3193005 ,  2.304433  ,
        -0.83021337, -0.694108  ,  0.40333563, -1.7780415 ,  0.8667511 ,
         1.5608184 ,  2.8885214 ,  0.27455485,  0.39580122, -0.70851016,
         1.6965772 , -0.47489813,  0.02705503,  0.9047853 , -1.1335149 ,
         0.54731226,  0.35241312,  0.3444583 ,  0.9659247 ,  2.796852  ,
         1.216329  , -0.19315745, -1.141908  ,  0.55104446,  1.0655097 ,
         0.22545013, -1.3412933 , -0.06974155,  1.7984283 , -0.9083147 ,
        -0.36632693,  0.53321826,  0.621454  ,  0.19186446,  2.0352554 ,
         0.49825913,  0.6615877 , -0.38520163, -0.02794069,  0.9559599 ,
        -0.8086782 , -0.24737592, -1.329782  ,  0.5108012 ,  0.03378259,
        -0.17455904, -0.33631605, -1.495397  ,  0.5728296 , -1.0695695 ,
        -1.8948505 , -1.1576259 ,  1.7695637 , -0.8986906 , -1.2671214 ,
         1.0098033 , -0.28550452, -0.18761517, -1.0739486 ,  0.63779855,
         0.6448764 ,  0.3904781 ,  1.2511398 , -0.95680857,  1.1699883 ,
         0.20616718, -1.0123537 , -0.26720193, -0.8307072 ,  0.45199633,
        -1.9060786 ,  0.3433256 , -0.9012116 ,  0.20430557,  0.7669535 ,
         1.5549779 , -0.9333616 ,  0.0558961 , -1.2128843 ,  0.6361645 ,
         1.9935343 ,  2.8673058 , -0.0337045 ,  1.8604296 ,  0.45951045,
        -0.58515525,  0.7033641 ,  0.34443223, -1.9315164 , -0.3470185 ,
         0.6353385 ,  0.52725655,  0.7469518 , -0.8218752 , -0.12755996,
        -0.31389737, -1.3008058 ,  0.9091612 , -0.8560178 ,  0.77165955,
        -0.05318193,  0.19349894,  0.19148578,  0.07630757,  0.6013402 ,
        -1.2795165 ,  0.48696873, -0.11383422, -1.186056  , -1.0967742 ,
         1.1388265 ,  0.2482484 ,  2.1056433 , -1.8991177 , -1.4477395 ,
        -1.4994648 ,  0.46171623, -1.669493  ]], dtype=float32)

一个简单的 Numpy 形状数组(2,128)

现在，我想将“它”作为纯文本存储在数据库（MySQL）中，所以我将它转换为字符串......

String = str(npArray)

这又回来了：

'[[-0.24684101  1.0770087  -0.46549857  0.6899651  -0.0172088   0.01917161\n   2.4694798  -2.6767805  -0.50126964  0.8047828  -0.21555606 -1.5408617\n  -2.5809233  -2.22431    -1.2130492   1.08409     1.2381219   1.3944834\n  -0.44548434  0.12717676  1.611825    0.25434235  0.97729284 -1.131029\n  -0.01471538  0.09575878  0.10347354 -0.919141   -0.20919399  1.0275906\n  -0.72333205  0.49255764 -1.2665565   0.03819553  2.3665667  -1.690517\n  -0.293503    0.89463717  2.0341184  -0.5328591  -1.1375701  -0.39930856\n  -1.1450138   2.0410218   1.8398683  -0.97768176 -0.64299     0.28698102\n  -0.52683306  2.1747525  -1.0573564  -0.6905593  -0.4804876   0.32964003\n   0.3177481   1.2425584   0.7790326   0.27686158 -1.7098534  -0.99255556\n  -0.7112258  -1.7642928   0.5029412  -1.4172037  -1.5987507   2.1605237\n  -0.6220295   0.5533376   0.6955076  -1.2478447  -1.5054828  -0.12723197\n  -0.50764024 -1.234578   -0.04605554 -0.6447917  -1.6816235  -1.0286163\n  -0.47162792 -0.20693539  0.0860045   0.5372213   0.29363748  0.91555727\n   0.52423084  1.4659382   0.6950233  -0.65398884 -0.91441524  0.95101625\n  -0.33743462  0.2010487   0.4070103   0.8570372  -0.414096   -1.2613487\n  -0.12721302 -1.9749248  -1.0874395  -0.45438108 -1.0385392   1.0453774\n  -0.5049066   0.16661291  0.10959264 -2.547219   -0.49483693  0.7551471\n  -0.7333046  -0.45841357  1.0003595  -0.7349028   1.5753592   1.7150695\n  -2.0518181   0.218887    0.3429606   0.80745304 -0.9821863   0.59469235\n   1.0098441   1.4132774   0.69519347 -1.5112026  -2.7171316   0.5496241\n  -1.0044149  -1.2788291 ]\n [-0.6814048  -1.678967   -0.6895096   0.73741305  0.8187343  -0.25810438\n  -0.02746152 -1.5952878  -1.3193005   2.304433   -0.83021337 -0.694108\n   0.40333563 -1.7780415   0.8667511   1.5608184   2.8885214   0.27455485\n   0.39580122 -0.70851016  1.6965772  -0.47489813  0.02705503  0.9047853\n  -1.1335149   0.54731226  0.35241312  0.3444583   0.9659247   2.796852\n   1.216329   -0.19315745 -1.141908    0.55104446  1.0655097   0.22545013\n  -1.3412933  -0.06974155  1.7984283  -0.9083147  -0.36632693  0.53321826\n   0.621454    0.19186446  2.0352554   0.49825913  0.6615877  -0.38520163\n  -0.02794069  0.9559599  -0.8086782  -0.24737592 -1.329782    0.5108012\n   0.03378259 -0.17455904 -0.33631605 -1.495397    0.5728296  -1.0695695\n  -1.8948505  -1.1576259   1.7695637  -0.8986906  -1.2671214   1.0098033\n  -0.28550452 -0.18761517 -1.0739486   0.63779855  0.6448764   0.3904781\n   1.2511398  -0.95680857  1.1699883   0.20616718 -1.0123537  -0.26720193\n  -0.8307072   0.45199633 -1.9060786   0.3433256  -0.9012116   0.20430557\n   0.7669535   1.5549779  -0.9333616   0.0558961  -1.2128843   0.6361645\n   1.9935343   2.8673058  -0.0337045   1.8604296   0.45951045 -0.58515525\n   0.7033641   0.34443223 -1.9315164  -0.3470185   0.6353385   0.52725655\n   0.7469518  -0.8218752  -0.12755996 -0.31389737 -1.3008058   0.9091612\n  -0.8560178   0.77165955 -0.05318193  0.19349894  0.19148578  0.07630757\n   0.6013402  -1.2795165   0.48696873 -0.11383422 -1.186056   -1.0967742\n   1.1388265   0.2482484   2.1056433  -1.8991177  -1.4477395  -1.4994648\n   0.46171623 -1.669493  ]]'

一个完整的 Np 数组字符串，中间有\n。

在这个阶段，我可以将它存储在数据库中。

但是如何将它从 String 转换回 Numpy Array 呢？

请帮忙。

标签： pythondatabasenumpyartificial-intelligencenumpy-ndarray