Pandas: Combining Two DataFrames Horizontally

Question

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).

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).

Any ideas?

Thanks!

Asked By: anon_swe

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Source

Answer 1

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)

With the result being:

   A  B  C  D
0  1  1  1  1
1  2  2  2  2
2  3  3  3  3
3  4  4  4  4
4  5  5  5  5

Answered By: nslamberth

Pandas: Combining Two DataFrames Horizontally

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