Python从数据帧中删除自定义的停止字

我在回答下一个问题：

但对于我来说，定制的停止语列表不起作用，请查看以下代码：

 pos_tweets = [('I love this car', 'positive'),
('This view is amazing', 'positive'),
('I feel great this morning', 'positive'),
('I am so excited about the concert', 'positive'),
('He is my best friend', 'positive')] 

import pandas as pd
test = pd.DataFrame(pos_tweets)


test.columns = ["tweet","col2"]
test["tweet"] = test["tweet"].str.lower().str.split()

stop =  ['love','car','amazing']

test['tweet'].apply(lambda x: [item for item in x if item not in stop)

print test

结果是：

                                   tweet      col2
0                       [i, love, this, car]  positive
1                  [this, view, is, amazing]  positive
2            [i, feel, great, this, morning]  positive
3  [i, am, so, excited, about, the, concert]  positive
4                 [he, is, my, best, friend]  positive

爱、车和惊奇的字眼还在，我错过了什么

---

谢谢

您需要将输出分配回列

tweet

：

test['tweet'] = test['tweet'].apply(lambda x: [item for item in x if item not in stop])

print (test)
                                       tweet      col2
0                                  [i, this]  positive
1                           [this, view, is]  positive
2            [i, feel, great, this, morning]  positive
3  [i, am, so, excited, about, the, concert]  positive
4                 [he, is, my, best, friend]  positive

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你的解决方案非常有效！还有一个问题，我必须做些什么来删除文本中的逗号，比如：tweet col2 0[I this]positive 1[I this]positive 1[I this view is]positive 2[我今天早上感觉很棒]positive 3[我对音乐会非常兴奋]正数4[他是我最好的朋友]正数您是否需要将列表转换为每行的字符串？