如何将张量的数据帧保存到文件中，以便于加载和访问？

import pandas as pd
import numpy as np
import torch

data = {'A': torch.tensor([1, 2, 3]),
        'B': torch.tensor([4, 5, 6]),
        'C': torch.tensor([7, 8, 9])}
df = pd.DataFrame(data)

df.to_csv('dataframe.csv', index=False)

loaded_df = pd.read_csv('dataframe.csv')

print(loaded_df)

import pandas as pd
import numpy as np
import torch

# 创建数据帧
data = {'A': torch.tensor([1, 2, 3]),
        'B': torch.tensor([4, 5, 6]),
        'C': torch.tensor([7, 8, 9])}
df = pd.DataFrame(data)

# 保存数据帧为CSV文件
df.to_csv('dataframe.csv', index=False)

# 加载保存的数据帧
loaded_df = pd.read_csv('dataframe.csv')

# 访问加载的数据帧
print(loaded_df)