我想将嵌套数组中的每个单独数组转换为数据帧中的每一行。例如：嵌套数组示例如下。如何在数据框中的行中的 [[... ]] 中创建每个数字？有许多嵌套数组，如下所示。任何帮助，将不胜感激。谢谢。为了让事情更简单，我想将每个数组创建为数据框中的行。第一个数组的示例需要在数据帧中像这样布置 * -0.14091441, 0.02556057, 0.10425788, ..., -0.03699904, 0.00503982, 0.08761989 到目前为止，我已经尝试过：
pd.concat([pd.DataFrame(arrays_list[i][0]) for i in range(len(arrays_list))]).reset_index(drop=False)
arrays_list 是我的嵌套数组。
[array([[[-0.14091441, 0.02556057, 0.10425788, ..., -0.03699904,
0.00503982, 0.08761989]],
[[-0.16227441, 0.03150389, 0.06440173, ..., -0.10543424,
0.05987305, 0.04117104]],
[[-0.11423473, 0.03741207, 0.0783961 , ..., -0.16773996,
0.06566695, 0.0683976 ]],
...,
[[-0.13789459, 0.05840103, 0.09803487, ..., -0.09256409,
0.01833008, 0.08413954]],
[[-0.12652887, 0.03683193, 0.06100509, ..., -0.06188103,
0.00915053, 0.09518969]],
[[-0.19781192, 0.05750425, 0.14811654, ..., -0.10550601,
0.05405622, 0.13771409]]]),
array([[[-0.0375578 , 0.16006446, 0.07978896, ..., -0.0883253 ,
0.0057608 , 0.07953031]],
[[ 0.00282089, 0.18854009, 0.01686837, ..., -0.02981209,
-0.01220972, 0.02810074]],
[[ 0.0333602 , 0.21895081, 0.05255894, ..., -0.01882036,
-0.03316848, 0.02506595]],
...,
[[-0.02498044, 0.17067145, 0.03956907, ..., -0.00617604,
0.01254308, 0.03375499]],
[[ 0.0333602 , 0.21895081, 0.05255894, ..., -0.01882036,
-0.03316848, 0.02506595]],
[[ 0.01105822, 0.20526624, 0.05087842, ..., -0.0442748 ,
-0.08184794, 0.04356682]]]),
array([[[-1.16298698e-01, 6.60857707e-02, 4.37349118e-02, ...,
5.65935597e-02, 1.17720775e-01, 4.68457118e-02]],
[[-1.70329705e-01, 7.15664029e-02, 2.13463139e-02, ...,
8.40441436e-02, 3.38792875e-02, -9.66352411e-04]],
[[-1.38925180e-01, 6.48617744e-02, 7.50765130e-02, ...,
3.60708833e-02, 9.37591046e-02, 3.88324559e-02]],
DIEA
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