Python 熊猫根据索引与 ix 删除行
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pandas drop row based on index vs ix
提问by Aerin
I'm trying to drop pandas dataframe row based on its index (not location).
我正在尝试根据其索引（而不是位置）删除 pandas 数据框行。
The data frame looks like
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
(FYI: "DO" is a column name)
（仅供参考：“DO”是列名）
I want to delete the row where its index is 571 so I did:
我想删除索引为 571 的行，所以我做了：
df=df.drop(df.index[571])
then I check df.ix[571]
然后我检查 df.ix[571]
then what the hell it's still there!
那他妈的怎么还在那里！
So I thought "ok, maybe index and ix are different!"
所以我想“好吧，也许 index 和 ix 是不同的！”
In [539]: df.index[571]
17002
My question is
我的问题是
1) What is index? (compared to ix)
1）什么是索引？（与ix相比）
2) How do I delete the index row 571 using ix?
2) 如何使用 ix 删除索引行 571？
回答by John Zwinck
回答by piRSquared
df.index
Is the index of the dataframe.
是数据帧的索引。
df.index[571]
Is the 571st element of the index. Then you dropped whatever that was. You didn't want positional but that's what you did.
是索引的第 571 个元素。然后你放弃了任何东西。你不想要位置，但这就是你所做的。
Use @John Zwinck's answer
使用@John Zwinck 的回答
