【问题标题】:python pandas: Rename a series within a dataframe?python pandas:重命名数据框中的系列?
【发布时间】:2012-08-25 10:20:13
【问题描述】:
我正在使用 python pandas 进行数据分析,我想更改数据框中的系列名称。
这行得通,但似乎效率很低:
AA = pandas.DataFrame( A )
for series in A:
AA[A_prefix+series] = A[series]
del A[series]
有没有办法就地更改系列名称?
【问题讨论】:
标签:
python
dictionary
pandas
series
【解决方案1】:
当然,你可以使用rename 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
这不会改变df,不过:
In [13]: df
Out[13]:
A B
0 1 3
1 2 4
如果你想使用inplace,你可以得到这种行为:
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