将序列转换为numpy数组,并将其与不同维数的数组连接起来

x_train 形状如下(3800,10):

[[ 8.58786106  2.05531597 47.69544082 ... 22.18313066 58.95737578
  16.74565073]
 [ 9.12246609  2.22890568 54.10625074 ... 26.04059537 56.0996469
  18.67649081]
 [ 8.69304657  1.68278122 49.72647589 ... 27.39661295 55.67941362
  21.72374764]
 ...
 [ 7.38825607  1.9323082  42.25193966 ... 26.32971473 76.62631333
  23.39134685]
 [ 9.36668968  2.21513939 51.51743298 ... 15.17773412 48.62399762
  18.85870167]
 [ 6.85041714  1.48223543 48.24985089 ... 50.06416883 96.68290317
  45.1459154 ]]

0       1.0
1       0.0
2       1.0
3      -1.0
4      -1.0
       ... 
3795    0.0
3796   -1.0
3797    1.0
3798   -1.0
3799   -1.0

如何将此系列格式化为一个数组,并按以下方式连接它们?

xy_train_model = np.concatenate([x_train, y_train], axis=1)

所以我最终得到了(3800,11)的形状:

[[ 8.58786106  2.05531597 47.69544082 ... 22.18313066 58.95737578
  16.74565073, 1.0]
 [ 9.12246609  2.22890568 54.10625074 ... 26.04059537 56.0996469
  18.67649081, 0.0]
 ...