如何基于具有相同列但顺序不同的另一个数据帧对列进行重新排序 [英] How to re-order the columns based on another dataframe with the same columns but different order

问题描述

我想知道是否有一种方便的方法可以根据具有相同列但顺序不同的另一列来对数据框的列进行排序.还是我必须做一个循环才能实现这一目标?

I wonder if there is a handy method to order the columns of a dataframe based on another one that has the same columns but with different order. Or, do I have to make a loop to achieve this?

推荐答案

尝试一下:

df2 = df2[df1.columns]

演示:

In [1]: df1 = pd.DataFrame(np.random.randint(0, 10, (5,4)), columns=list('abcd'))

In [2]: df2 = pd.DataFrame(np.random.randint(0, 10, (5,4)), columns=list('badc'))

In [3]: df1
Out[3]:
   a  b  c  d
0  8  3  9  6
1  0  6  4  7
2  7  2  0  7
3  0  5  1  8
4  6  2  5  4

In [4]: df2
Out[4]:
   b  a  d  c
0  3  8  0  4
1  7  7  4  2
2  2  7  3  8
3  2  4  9  6
4  3  4  7  1

In [5]: df2 = df2[df1.columns]

In [6]: df2
Out[6]:
   a  b  c  d
0  8  3  4  0
1  7  7  2  4
2  7  2  8  3
3  4  2  6  9
4  4  3  1  7

替代解决方案:

df2 = df2.reindex_axis(df1.columns, axis=1)

注意:自版本0.21.0起，不再支持熊猫reindex_axis:请改用reindex.

Note: Pandas reindex_axis is deprecated since version 0.21.0: Use reindex instead.

df2 = df2.reindex(df1.columns, axis=1)

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