我有一个数据框 (totaldf) 这样:
... Hom ... March Plans March Ships April Plans April Ships ...
0 CAD ... 12 5 4 13
1 USA ... 7 6 2 11
2 CAD ... 4 9 6 14
3 CAD ... 13 3 9 7
... ... ... ... ... ... ...
一年中的所有月份。我希望它是:
... Hom ... Month Plans Ships ...
0 CAD ... March 12 5
1 USA ... March 7 6
2 CAD ... March 4 9
3 CAD ... March 13 3
4 CAD ... April 4 13
5 USA ... April 2 11
6 CAD ... April 6 14
7 CAD ... April 9 7
... ... ... ... ... ...
有没有不拆分字符串条目的简单方法？
我玩过 totaldf.unstack() 但由于有多个列，我不确定如何正确地重新索引数据帧。
最佳答案
如果将列转换为 MultiIndex，则可以使用堆栈:
In [11]: df1 = df.set_index("Hom")
In [12]: df1.columns = pd.MultiIndex.from_tuples(df1.columns.map(lambda x: tuple(x.split())))
In [13]: df1
Out[13]:
March April
Plans Ships Plans Ships
Hom
CAD 12 5 4 13
USA 7 6 2 11
CAD 4 9 6 14
CAD 13 3 9 7
In [14]: df1.stack(level=0)
Out[14]:
Plans Ships
Hom
CAD April 4 13
March 12 5
USA April 2 11
March 7 6
CAD April 6 14
March 4 9
April 9 7
March 13 3
In [21]: res = df1.stack(level=0)
In [22]: res.index.names = ["Hom", "Month"]
In [23]: res.reset_index()
Out[23]:
Hom Month Plans Ships
0 CAD April 4 13
1 CAD March 12 5
2 USA April 2 11
3 USA March 7 6
4 CAD April 6 14
5 CAD March 4 9
6 CAD April 9 7
7 CAD March 13 3
关于python - 带有部分字符串的逆透视数据框，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/54814462/