pandas 重命名熊猫系列中的索引？
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/37164543/
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
Renaming an index in a Pandas Series?
提问by cjm2671
I'm trying to rename the index of a series liborI have from DATE to Date:
我正在尝试重命名libor从 DATE 到 Date的系列索引：
libor.rename(index={"DATE": "Date"})
The result is unforunately the same as it went in though:
不幸的是，结果与它进入的结果相同：
VALUE
DATE
1986-01-02 8.12500
1986-01-03 8.12500
1986-01-06 8.18750
I was hoping that 'DATE' would become 'Date'. I'm trying to multiply it with a Dataframe with a 'Date' index, on a column-by-column basis.
我希望“日期”会变成“日期”。我正在尝试逐列将它与带有“日期”索引的数据框相乘。
How can I rename the index?
如何重命名索引？
回答by Alexander
Just change the name property of the index.
只需更改索引的名称属性即可。
libor.index.name = 'Date'
回答by MaxU
you can use rename_axis()for that:
您可以使用rename_axis()：
Example:
例子：
In [310]: s
Out[310]:
Index
0 1
1 2
2 3
dtype: int64
In [312]: s = s.rename_axis('idx')
In [313]: s
Out[313]:
idx
0 1
1 2
2 3
dtype: int64
