如何根据标签值分离数据框？

Question

假设我有这个数据框。

+-----------------+-----------+
|     COMMENT     | SENTIMENT |
+-----------------+-----------+
| Good app        | Positive  |
| Bad app         | Negative  |
| Useless feature | Negative  |
| I like this app | Positive  |
+-----------------+-----------+

我想根据 SENTIMENT 列拆分它。像下面这样。

+-----------------+-----------+
|     COMMENT     | SENTIMENT |
+-----------------+-----------+
| Good app        | Positive  |
| I like this app | Positive  |
+-----------------+-----------+


+-----------------+-----------+
|     COMMENT     | SENTIMENT |
+-----------------+-----------+
| Bad app         | Negative  |
| Useless feature | Negative  |
+-----------------+-----------+

有人知道 Python (Jupyter) 中针对这种情况的解决方案吗？你的帮助将有助于我的论文项目。谢谢 :D

Answer 1

你可以简单地使用df1 = df[df["SENTIMENT"]=="Positive"]

那么df1将有：

df2 = df[df["SENTIMENT"]=="Negative"]

那么df2将有：