Swap Salary Solution.
Intuition\n Describe your first thoughts on how to solve this problem. \nWe want to replace all \'m\' with \'f\' and vice versa in one line without any intermed
# Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nWe want to replace all \'m\' with \'f\' and vice versa in one line without any intermediate tables. There are two options to consider when doing this: `.replace()` or `.map()`.\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\nBecause `.map()` is faster than `.replace()`, we use `.map()`. We simply map \'m\' to \'f\' and \'f\' to \'m\'. Return the salary dataframe.\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n$O(n)$ - beats 93.09% of Pandas users.\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n$O(1)$ - beats 42.06% of Pandas users.\n\n# Code\n```\nimport pandas as pd\n\ndef swap_salary(salary: pd.DataFrame) -> pd.DataFrame:\n    # Replace the \'m\' vals with \'f\' and vice versa.\n    salary[\'sex\'] = salary[\'sex\'].map({\'m\': \'f\', \'f\': \'m\'})\n\n    return salary\n\n```
['Pandas']