我有这样的数据框：
item tags
1 awesome, awesome, great
2 cool, fun
3 boring, boring, average
4 ok, expensive
如何删除重复的标签以获取：
item tags
1 awesome, great
2 cool, fun
3 boring, average
4 ok, expensive
如果我理解正确，请尝试：
df['new_tags'] = df['tags'].apply(lambda x: ', '.join(set(x.split(', '))))
输出：
item tags new_tags
0 1 awesome, awesome, great awesome, great
1 2 cool, fun cool, fun
2 3 boring, boring, average average, boring
3 4 ok, expensive expensive, ok
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