Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
normalize_map(df, min_salary, max_salary) #178 ms ± 970 µs per loop (mean ± std. dev. of 7 runs, 10 loops each) def normalize_apply(df, min_salary, max_salary): df["Normalized_Salary"] = df["Salary"].apply(lambda x: (x - min_salary) / (max_salary - min_salary)) return df %timeit normalize_apply(df,