I'm trying to compute the mean age of blonde people from the data in df: np.random.seed(0) df = pd.DataFrame( { 'Age': [18, 21, 28, 19, 23, 22, 18, 24, 25, 20], 'Hair colour': [ 'Blonde', 'Brown', 'Black', 'Blonde', 'Blonde', 'Black','Brown', 'Brown', 'Black', 'Black'], 'Length (in cm)': np.random.normal(175, 10, 10).round(1), 'Weight (in kg)': np.random.normal(70, 5, 10).round(1)}, index=[ 'Leon', 'Mirta', 'Nathan', 'Linda', 'Bandar', 'Violeta', 'Noah', 'Niji', 'Lucy', 'Mark'],) I need to get the one number. Firstly, I attempted to use the "df.divide". import pandas as pd import numpy as np ans_3 = df({'Age'}).divide(df({'Hair colour': ['Blonde']})) However, I have got this TypeError: 'DataFrame' object is not callable. What should I do for working my code that I'll get the appropriate result? Continue reading...