根据分隔符将dataframe列拆分为两列

Question

我正在预处理分类文本，我导入我的数据集如下：

dataset = pd.read_csv('lyrics.csv', delimiter = '\t', quoting = 2)

dataset在终端上打印：

                                 lyrics,classification
0    I should have known better with a girl like yo...
1    You can shake an apple off an apple tree\nShak...
2    It's been a hard day's night\nAnd I've been wo...
3    Michelle, ma belle\nThese are words that go to...

然而，当我使用dataset更接近检查变量spyder时，我发现我只有一列，而不是所需的两列。

考虑到歌词本身有逗号和“，”分隔符不起作用，

如何更正上面的数据框，以便：

1）lyrics

的一列

2）classification

的一列

每行有相应的数据吗？

Answer 1

如果您的歌词本身不包含逗号（他们很可能会这样做），那么您可以read_csv使用delimiter=','。

但是，如果这不是一个选项，您可以使用str.rsplit：

dataset.iloc[:, 0].str.rsplit(',', expand=True)

df

                               lyrics,classification
0  I should have known better with a girl like yo...
1                              You can shake an...,0
2                  It's been a hard day's night...,0

df = df.iloc[:, 0].str.rsplit(',', 1, expand=True)
df.columns = ['lyrics', 'classification']
df

                                              lyrics classification
0  I should have known better with a girl like yo...              0
1                                You can shake an...              0
2                    It's been a hard day's night...              0