我有一个具有以下形状的数组x_train
(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 ]]
我需要将上面的数组与从这个序列中提取的数组(y_train(连接起来:
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数组并以以下方式连接它们?
xy_train_model = np.concatenate([x_train, y_train], axis=1)
所以我最终得到了(3800,11(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]
...
我建议首先使用pandas.DataFrame
制作x_train的DataFrame,然后制作一个新列并添加y_train。稍后,如果您愿意,可以将其转换为数组。
# the `None` is to broadcast it to (3800, 1) shape
y_train = series.to_numpy()[:,None]
然后你的串联代码就可以工作了。您也可以使用np.hstack([x_train, y_train])
。