Python Dataframe中的子集/筛选器列

我有这样的数据帧：

    text            emotion
0   working add oil [1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0]
1   you're welcome  [0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0]
7   off to face my exam now [0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, ...
12  no, i'm so not la! i want to sleeeeeeeeeeep.    [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, ...
151 i try to register on ebay. when i enter my hom...   [1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, ...
18  Swam 6050 yards on just a yogurt for breakfast...   [0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, ...
19  Alright!    [0, 0, 1, 1, 0, 0, 0, 0]
120 Visiting gma. It's getting cold [0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, ...
22  You are very missed [0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, ...
345 ...LOL! You mean Rhode Island...close enough    [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, ...

我如何才能只保留情感栏中的第一个数字，以获得这样的数据

    text            emotion
0   working add oil 1
1   you're welcome  0
7   off to face my exam now 0
12  no, i'm so not la! i want to sleeeeeeeeeeep.    0
151 i try to register on ebay. when i enter my hom...   1 
18  Swam 6050 yards on just a yogurt for breakfast...   0 
19  Alright!    **0**
120 Visiting gma. It's getting cold 0
22  You are very missed **0**
345 ...LOL! You mean Rhode Island...close enough    0

如果“情感”列是列表而不是字符串：

df["emotion"] = df["emotion"].apply(lambda x: x[0])
print(df)

印刷品：

文本情感
0工作时添加机油1
1不客气0
2现在开始面对我的考试0
不，我不是洛杉矶人！我想去溜溜。0
我尝试在易趣上注册。当我进入我的领域。。。1.
早餐吃酸奶游6050码。。。0
6好吧！0
7访问gma。天气变冷了
非常想念你
9…哈哈！你是说罗德岛…离得够近了吗

---

如果是字符串，可以使用

ast.literal\u eval

将其转换为列表：

from ast import literal_eval

df["emotion"] = df["emotion"].apply(literal_eval)
# and then:
df["emotion"] = df["emotion"].apply(lambda x: x[0])