How does the concat function in pandas implement horizontal connection?

In pandas, the concat function can be used to combine different Series and DataFrame objects. When you need to connect two or more DataFrame objects in the horizontal direction, you can use the concat function to achieve it.

Here are the steps to do a lateral join using the concat function:

1. Identify the DataFrame objects that need to be concatenated.
2. Use the concat function, set the axis parameter to 1, which means to connect in the horizontal direction.
3. Pass the DataFrame objects that need to be concatenated to the list of objects in the concat function.

Here is a sample code that demonstrates how to use the concat function for lateral joins:

import pandas as pd

# 创建两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'C': [7, 8, 9], 'D': [10, 11, 12]})

# 使用concat函数进行横向连接
result = pd.concat([df1, df2], axis=1)

# 输出连接后的DataFrame对象
print(result)

In the above example, two DataFrame objects df1 and df2 are first created, and then they are concatenated in the horizontal direction using the concat function, and the result is saved in the result variable. Finally, use the print function to output the concatenated DataFrame object.

The output is as follows:

   A  B  C   D
0  1  4  7  10
1  2  5  8  11
2  3  6  9  12

Through the above steps, the horizontal connection of the concat function in pandas can be realized.