基于索引vs ix的大 pandas 拖放行 [英] pandas drop row based on index vs ix

问题描述

我正尝试根据其索引(而不是位置)删除pandas数据框行.

I'm trying to drop pandas dataframe row based on its index (not location).

数据框看起来像

                      DO  
129518  a developer and   
20066   responsible for   
571     responsible for   
85629   responsible for   
5956    by helping them   

(仅供参考:"DO"是列名)

(FYI: "DO" is a column name)

我想删除索引为571的行，所以我这样做了:

I want to delete the row where its index is 571 so I did:

df=df.drop(df.index[571])

然后我检查 df.ix [571]

then I check df.ix[571]

那到底还有什么呢！

所以我认为好吧，也许索引和ix不同！"

So I thought "ok, maybe index and ix are different!"

In [539]: df.index[571]
17002

我的问题是

1)什么是索引? (与ix相比)

1) What is index? (compared to ix)

2)如何使用ix删除索引行571?

2) How do I delete the index row 571 using ix?

推荐答案

您应该 drop 直接从索引中获得所需的值:

You should drop the desired value from the index directly:

df.drop(571, inplace=True)

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