ValueError: not enough values to unpack (expected 3, got 1)

ValueError:没有足够的值来解压(预期3，得到1)

方法的输出与预想的不一致。

def get_df():# 读取数据并返回
    df = {}
    f = open("ml-1m.txt",'r')
    user = []
    item = []
    times = []
    for line in f:
        try:
#             u, i ,rate,timeStamp = line.rstrip().split('/t')
            u, i ,rate,timeStamp = line.rstrip().split('\t')
        except:
#             u, i ,timeStamp = line.rstrip().split('/t')
            u, i ,timeStamp = line.rstrip().split('\t')
        user.append(u)
        item.append(i)
        times.append(timeStamp)
    df['user'] = user
    df['item'] = item
    df['times'] = times
    f.close()
    return pd.DataFrame.from_dict(df)

 我原型代码的问题就是 转移字符写错了，而且自己看了好几遍还没有看出来