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如何拆分特征和标签

我想使用前 50 列作为我的特征 X,最后一列作为我的标签 y,我该怎么做?数据在这里

我已经在使用:

import pandas as pd
df = pd.read_csv('file.csv', sep=' ', header=None)
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第 1 行:

6.999299526214599609e+00 -4.579982161521911621e-01 6.291269779205322266e+00 3.196178436279296875e+00 -5.663570880889892578e+00 -1.810324430465698242e+00 -6.706712245941162109e+00 -1.486396908760070801e+00 7.831575274467468262e-01 2.103844642639160156e+00 1.438934803009033203e+00 1.163767457008361816e+00 -4.729847431182861328e+00 2.073661834001541138e-01 -3.499572992324829102e+00 7.331941604614257812e+00 5.259800434112548828e+00 3.068963885307312012e-01 4.826724827289581299e-01 2.915471076965332031e+00 -1.563049554824829102e+00 4.521403312683105469e+00 2.377167463302612305e+00 1.402835369110107422e+00 -6.507210731506347656e+00 1.661594510078430176e+00 3.218852043151855469e+00 2.605128288269042969e+00 -6.348329782485961914e-01 -1.768920421600341797e+00 3.369244933128356934e-01 -9.721876144409179688e+00 -3.150746524333953857e-01 -6.363586187362670898e-01 7.596837520599365234e+00 -2.103782415390014648e+00 2.669518947601318359e+00 2.815987110137939453e+00 3.098936080932617188e+00 -2.445043325424194336e+00 4.101460456848144531e+00 1.029265499114990234e+01 -3.425651788711547852e+00 -7.059376239776611328e+00 2.968243837356567383e+00 1.735906600952148438e+00 -5.084319591522216797e+00 -4.689389228820800781e+00 -5.318581685423851013e-02 7.332663059234619141e+00 0.000000000000000000e+00
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第 2 行:

-3.312762498855590820e+00 -6.952639102935791016e+00 4.057536602020263672e+00 -7.067280411720275879e-01 1.559423655271530151e-01 -2.063135862350463867e+00 3.473832607269287109e+00 …
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python numpy pandas

3
推荐指数
1
解决办法
2894
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标签 统计

numpy ×1

pandas ×1

python ×1