pandas 如何在熊猫中找到重复项？
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/34810358/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
How to find duplicates in pandas?
提问by Luis Ramon Ramirez Rodriguez
I've a data frame of about 52000 rows with some duplicates, when I use
当我使用时，我有一个大约 52000 行的数据框，其中有一些重复
df_drop_duplicates()
I loose about 1000 rows, but I don't want to erase this rows I want to know which ones are the duplicates rows
我丢失了大约 1000 行，但我不想删除这些行我想知道哪些是重复行
回答by Anton Protopopov
You could use duplicatedfor that:
你可以使用duplicated：
df[df.duplicated()]
You could specify keepargument for what you want, from docs:
您可以keep从文档中为您想要的内容指定参数：
keep: {‘first', ‘last', False}, default ‘first'
first: Mark duplicates asTrueexcept for the first occurrence.last: Mark duplicates asTrueexcept for the last occurrence.False: Mark all duplicates asTrue.
保持：{'first', 'last', False}，默认为'first'
first: 将重复项标记为True除了第一次出现。last: 将重复项标记True为最后一次出现的除外。False: 将所有重复项标记为True.
