词典的输入词典是dict1和dict2。
dict1 = {company1:[{'age':27,'weight':200,'name':'john'},{'age':23,'weight':180,'name':'peter'}],
company2:[{'age':30,'weight':190,'name':'sam'},{'age':32,'weight':210,'name':'clove'},{'age':21,'weight':170,'name':'steve'}],
company3:[{'age':36,'weight':175,'name':'shaun'},{'age':40,'weight':205,'name':'dany'},{'age':25,'weight':160,'name':'mark'}]
company4:[{'age':36,'weight':155,'name':'lina'},{'age':40,'weight':215,'name':'sammy'},{'age':25,'weight':190,'name':'matt'}]
}
dict2 = {company2:[{'age':30},{'age':45},{'age':52}],
company4:[{'age':43},{'age':67},{'age':22},{'age':34},{'age':42}]
}
我正在尝试编写一种逻辑,以便我可以检查dict2中每个复合键的内键(“ age”)是否存在于同一公司键dict1中,即使内键“ age”的一个值与内键(“相同公司密钥的dict1中的“年龄”),然后将其保存到第三本词典中。请检查以下示例
示例:
company2:[{'age':30}]
与
匹配company2:[{'age':30,'weight':190,'name':'sam'}, ...]
我还想将key2:未在dict2中对应的dict1值保存到dict3,如下面的示例所示,company1密钥在dict2中未对应。
示例:
company1:[{'age':27,'weight':200,'name':'john'},{'age':23,'weight':180,'name':'peter'}]
和
company3:[{'age':36,'weight':175,'name':'shaun'},{'age':40,'weight':205,'name':'dany'},{'age':25,'weight':160,'name':'mark'}]
预期输出:
dict3 = {company1:[{'age':27,'weight':200,'name':'john'},{'age':23,'weight':180,'name':'peter'}],
company2:[{'age':30,'weight':190,'name':'sam'},{'age':32,'weight':210,'name':'clove'},{'age':21,'weight':170,'name':'steve'}]
company3:[{'age':36,'weight':175,'name':'shaun'},{'age':40,'weight':205,'name':'dany'},{'age':25,'weight':160,'name':'mark'}]}
请原谅我!
答案 0 :(得分:1)
可能更简洁地使用其他方法可以更好地完成此解决方案。但是,它可以达到预期的结果。
from pprint import pprint
dict3 = dict()
dict1 = {'company1':[{'age':27,'weight':200,'name':'john'},{'age':23,'weight':180,'name':'peter'}],
'company2':[{'age':30,'weight':190,'name':'sam'},{'age':32,'weight':210,'name':'clove'},{'age':21,'weight':170,'name':'steve'}],
'company3':[{'age':36,'weight':175,'name':'shaun'},{'age':40,'weight':205,'name':'dany'},{'age':25,'weight':160,'name':'mark'}],
'company4':[{'age':36,'weight':155,'name':'lina'},{'age':40,'weight':215,'name':'sammy'},{'age':25,'weight':190,'name':'matt'}]
}
dict2 = {'company2':[{'age':30},{'age':45},{'age':52}],
'company4':[{'age':43},{'age':67},{'age':22},{'age':34},{'age':42}]
}
for company, array in dict1.items():
if company not in dict2:
dict3[company] = array
else:
# all the ages for this company in dict1
ages = set(map(lambda x: x['age'], array))
for dictref in dict2[company]:
if dictref['age'] in ages:
dict3[company] = array
break
pprint(dict3)
输出原为
{'company1': [{'age': 27, 'name': 'john', 'weight': 200},
{'age': 23, 'name': 'peter', 'weight': 180}],
'company2': [{'age': 30, 'name': 'sam', 'weight': 190},
{'age': 32, 'name': 'clove', 'weight': 210},
{'age': 21, 'name': 'steve', 'weight': 170}],
'company3': [{'age': 36, 'name': 'shaun', 'weight': 175},
{'age': 40, 'name': 'dany', 'weight': 205},
{'age': 25, 'name': 'mark', 'weight': 160}]}