import pandas as pd happiness2015 = pd.read_csv('world_happiness_2015.csv') ########## begin ########## # 1.按照region列对happiness进行分组 # 2.取出第四行，第14行两行的数据 # 3. 取出‘north america’那一组的所有数据 # 4.判断两种方法取出的数据是否一致，并赋值给equal # 5.打印north_america，na_group，equal ########## end ##########

import pandas as pd happiness2015 = pd.read_csv('world_happiness_2015.csv') # 1. 按照 region 列对 happiness 进行分组 grouped = happiness2015.groupby('region') # 2. 取出第四行，第 14 行两行的数据 row_4 = happiness2015.iloc[3] row_14 = happiness2015.iloc[13] # 3. 取出‘north america’那一组的所有数据 na_group = grouped.get_group('north america') # 4. 判断两种方法取出的数据是否一致，并赋值给 equal equal = (row_4.equals(na_group.iloc[0]) and row_14.equals(na_group.iloc[1])) # 5. 打印 north_america，na_group，equal print("North America Data:") print(na_group) print("Row 4:") print(row_4) print("Row 14:") print(row_14) print("Equal:", equal) [2024-11-05 15:18:20 | AI写代码神器 | 245点数解答]