比较 2 个不同数据框的列

Question

I have 2 data frames df1 and df2, which have same column names but could have different order,我有 2 个数据框 df1 和 df2，它们具有相同的列名，但顺序可能不同，

I am validating if these 2 dataframes are identical or not.我正在验证这 2 个数据帧是否相同。

I want to compare these dataframes based on the column names.我想根据列名比较这些数据框。

df1:
A   B   C ...
1   1   1
1   2   4
5   3   8

df2:
A   C   B ....  
1   1   1
1   4   2
5   8   3

I want to compare df1.A & df2.A and so on .我想比较 df1.A & df2.A 等等。

would really appreciate if I could get help regarding the same ,如果我能得到同样的帮助，我将不胜感激，

Thank you谢谢

Answer 1

First, sort both dataframe columns lexicographically,首先，按字典顺序对两个数据框列进行排序，

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

then compare.然后比较。

df1 == df2

You don't need iteration.你不需要迭代。 (Which means way faster) （这意味着更快）

Answer 2

如果您不关心按顺序排列的列，而只关心查看它们是否都包含在每个数据框中：

set(df1.columns) == set(df2.columns)