pandas :水平组合两个数据框 [英] Pandas: Combining Two DataFrames Horizontally

问题描述

我有两个Pandas DataFrame，每个都有不同的列.我基本上希望将它们水平粘合在一起(它们每个都具有相同的行数，所以这不应该成为问题).

I have two Pandas DataFrames, each with different columns. I want to basically glue them together horizontally (they each have the same number of rows so this shouldn't be an issue).

必须有一种简单的方法来完成此操作，但是我已经阅读了文档，而concat不是我想要的(我不认为).

There must be a simple way of doing this but I've gone through the docs and concat isn't what I'm looking for (I don't think).

有什么想法吗?

谢谢！

推荐答案

concat确实是您想要的，您只需要为它传递一个与默认值不同的轴"参数值即可.下面的代码示例:

concat is indeed what you're looking for, you just have to pass it a different value for the "axis" argument than the default. Code sample below:

import pandas as pd

df1 = pd.DataFrame({
    'A': [1,2,3,4,5],
    'B': [1,2,3,4,5]
})

df2 = pd.DataFrame({
    'C': [1,2,3,4,5],
    'D': [1,2,3,4,5]
})

df_concat = pd.concat([df1, df2], axis=1)

print(df_concat)

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