python怎么查数据类型,Python：如何检查对象的keyvalue对的数据类型？

一个明显的例子是XY problem。。。在

你真正的问题是错误的数据结构&＃xff0c;以同样的方式存储异构信息(学生的姓名和标记)。RightSolution(tm)是使用更好的数据结构&＃xff0c;即&＃xff1a;student1 &＃61; {

"personal_infos" : {

"name": "Lloyd",

},

"marks": {

"homework": [90, 97, 75, 92],

"quiz": [88, 40, 94],

"test": [75, 90]

},

"totals": {}

"averages": {}

}

}

一旦有了这个&＃xff0c;就不必测试是否有字符串或num作为值&＃xff1a;

^{pr2}$

请注意&＃xff0c;您可以用不同的方式布局数据&＃xff0c;即每个主题&＃xff1a;student1 &＃61; {

"personal_infos" : {

"name": "Lloyd",

},

"subjects": {

"homework": {

"marks" : [90, 97, 75, 92],

"total" : None,

"average" : None

},

"quiz": {

"marks" : [88, 40, 94],

"total" : None,

"average" : None

},

"test": {

"marks" : [75, 90],

"total" : None,

"average" : None

},

},

}

def eachSubjAverage(student):

for subject, data in student["subjects"].items():

total &＃61; sum(data["marks"]) #totalling each marks

data["total"] &＃61; total

average &＃61; total / (len(data["marks"]))

data["average"] &＃61; average

请注意&＃xff0c;如果您无法选择修复数据结构(外部数据或其他)&＃xff0c;则您仍然不希望依赖类型检查(这充其量是脆弱的)-您希望测试密钥本身&＃xff0c;方法是将主题名称白名单或将“非主题”名称列入黑名单&＃xff0c;即&＃xff1a;# blacklist non-subjects

NON_SUBJECTS &＃61; ("name",)

def your_func(student):

for key, value in student.items():

if key in NON_SUBJECTS:

continue

compute_stuff_here()

哦&＃xff0c;是的&＃xff1a;把总分和平均分加在分数表上也是一个很好的方法&＃xff0c;一旦你做到了&＃xff0c;你就不能告诉她最后两个“分数”是分数还是(总分&＃xff0c;平均分)。在