Pandas Solution for Nth Highest Salary (-1)
IntuitionNot a Unique approach but note the Column title change, the column title as well as when N=-1 is the reason your test cases are failing.ApproachComplex
# Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
Not a Unique approach but note the Column title change, the column title as well as when N=-1 is the reason your test cases are failing. 

# Approach
<!-- Describe your approach to solving the problem. -->

# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->

- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->

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

def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
    if employee.empty or 'salary' not in employee.columns or N <= 0:
        return pd.DataFrame({f'getNthHighestSalary({N})': [None]})
    
    # Drop duplicate salaries and sort in descending order
    unique_salaries = employee['salary'].drop_duplicates().sort_values(ascending=False)
    
    # Check if there are enough salaries for the nth highest
    if N > len(unique_salaries):
        return pd.DataFrame({f'getNthHighestSalary({N})': [None]})
    
    # Fetch the nth highest salary
    nth_salary = unique_salaries.iloc[N-1]
    
    # Return as a DataFrame with dynamic column name
    return pd.DataFrame({f'getNthHighestSalary({N})': [nth_salary]})
```
['Pandas']