🚀1-row solution that beats 99999999,99%🚀
ApproachTo solve this problem I raed the pandas.concat documentationMain parameters:

objs
a sequence or mapping of Series or DataFrame objects


axis
{0 or ind
# Approach

To solve this problem I raed the pandas.concat documentation

Main parameters:

- objs
a sequence or mapping of Series or **DataFrame** objects

- axis
{0 or index, 1 or columns}, default 0
The axis to concatenate along.

- join
{inner, outer}, default outer
How to handle indexes on other axis (or axes).

- ignore_index
bool, default False
If True, do not use the index values along the concatenation axis. The resulting axis will be labeled 0, …, n - 1.

Goodbye, my friends!
<3

![image.png](https://assets.leetcode.com/users/images/425ca862-8c8e-4570-bfe6-01842ab17592_1736966194.5265563.png)


# Code
```pythondata []
import pandas as pd

def concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
    return pd.concat([df1, df2])
```
['Pandas']