Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
loop (mean ± std. dev. of 7 runs, 1 loop each) def normalize_for_iloc(df, min_salary, max_salary): normalized_salary = np.zeros(len(df, )) for i in range(df.shape[0]): normalized_salary[i] = (df.iloc[i, 11] - min_salary) / (max_salary - min_salary) df["Normalized_Salary"] = normalized_salary return