用循环把f_columns,中的字段依次替换成{大米},f_colunms=[大米,小麦面粉,杂粮,薯类,猪肉,牛羊肉,禽肉,内脏类,水产类,鲜奶,奶粉,酸奶,蛋类,豆腐丝等,豆浆,干豆,新鲜蔬菜,海草类,咸菜,泡菜,酸菜,糕点,水果,果汁饮料,其他饮料],并完成以下操作:
df_cleanID[“大米食用频率/天”] = df_cleanID[“食用大米的频率”] + df_cleanID[“Unnamed: 53”]/7+df_cleanID[“Unnamed: 54”]/30
再次声明任务:将大米食用频率/天和食用大米的频率的{大米}换成f_colunms。下面的列表‘Unnamed: 53’,‘Unnamed: 54’,以后的来替换‘Unnamed: 53’,‘Unnamed: 54’。
NULL_columns = [
‘Unnamed: 53’,‘Unnamed: 54’,
‘Unnamed: 58’,‘Unnamed: 59’,
‘Unnamed: 63’,‘Unnamed: 64’,
‘Unnamed: 68’,‘Unnamed: 69’,
‘Unnamed: 73’,‘Unnamed: 74’,
‘Unnamed: 78’,‘Unnamed: 79’,
‘Unnamed: 83’,‘Unnamed: 84’,
‘Unnamed: 88’,‘Unnamed: 89’,
‘Unnamed: 93’,‘Unnamed: 94’,
‘Unnamed: 98’,‘Unnamed: 99’,
‘Unnamed: 113’,‘Unnamed: 114’,
‘Unnamed: 118’,‘Unnamed: 119’,
‘Unnamed: 123’,‘Unnamed: 124’,
‘Unnamed: 128’,‘Unnamed: 129’,
‘Unnamed: 133’,‘Unnamed: 134’,
‘Unnamed: 138’,‘Unnamed: 139’,
‘Unnamed: 143’,‘Unnamed: 144’,
‘Unnamed: 148’,‘Unnamed: 149’,
‘Unnamed: 153’,‘Unnamed: 154’,
‘Unnamed: 158’,‘Unnamed: 159’,
‘Unnamed: 163’,‘Unnamed: 164’,
‘Unnamed: 168’,‘Unnamed: 169’,
‘Unnamed: 173’,‘Unnamed: 174’,
‘Unnamed: 178’,‘Unnamed: 179’,
‘Unnamed: 183’,‘Unnamed: 184’
]
最新发布