python大 pandas ：在数据框中重命名一个系列？ [英] python pandas: Rename a series within a dataframe?

问题描述

我正在使用python pandas进行数据分析，而我想在数据框中更改一个系列的名称。

I'm using python pandas for data analysis and I want to change the name of a series in a dataframe.

这样做很有效，但效率似乎很低：

This works, but it seems very inefficient:

AA = pandas.DataFrame( A )
for series in A:
    AA[A_prefix+series] = A[series]
    del A[series]

有没有办法改变系列名称到位？

Is there a way to change the series name in place?

推荐答案

当然可以使用重命名方法：

In [11]: df = DataFrame({"A": [1,2], "B": [3,4]})

In [12]: df.rename(columns={"A": "series formerly known as A"})
Out[12]: 
   series formerly known as A  B
0                           1  3
1                           2  4

尽管如此，这不会更改 df >

This doesn't change df, though:

In [13]: df
Out[13]: 
   A  B
0  1  3
1  2  4

如果您要使用 inplace ：

In [14]: df.rename(columns={"A": "series formerly known as A"}, inplace=True)
Out[14]: 
   series formerly known as A  B
0                           1  3
1                           2  4

In [15]: df
Out[15]: 
   series formerly known as A  B
0                           1  3
1                           2  4

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