Handling Negative Indexing in Pandas Series

If you want to avoid using `.iloc` entirely and work directly with the Series' data, you can convert the Series to a list or use other native approaches. Here’s how you can handle negative indexing without `.iloc`:

### Alternative Approach Using `.tolist()`

Convert the Series to a list and use negative indexing:

import pandas as pd

def get_element(series, index):

    if index < 0:

        # Convert negative index to positive by adding the length of the list

        index = len(series) + index

    # Convert Series to list and access element

    return series.tolist()[index]

# Example usage

my_series = pd.Series([10, 20, 30, 40])

print(get_element(my_series, -1))  # Output: 40

print(get_element(my_series, 2))   # Output: 30

### Explanation:

- **Convert the Series to a list** using `.tolist()`.

- **Handle negative indexing** by adjusting the index and then accessing the element from the list.

This method bypasses `.iloc` and directly accesses elements using list indexing.