只需要调用torch.tensor(pd.Dataframe.values)或是torch.tensor(pd.Series.values)即可

例子

import pandas as pd
import numpy as np
import torch


def get_tensor_from_pd(dataframe_series):
    return torch.tensor(data=dataframe_series.values)


if __name__ == '__main__':
    df = pd.DataFrame([[1, 2, 0],
                       [4, 5, 1],
                       [3, 4, 0], ], columns=['x1', 'x2', 'y'])
    tensor_x = get_tensor_from_pd(df.drop(['y'], axis=1))  # dataframe to tensor
    tensor_y = get_tensor_from_pd(df['y'])  # dataframe to tensor
    print(tensor_x)
    print(tensor_y)