以下是我的json文件输入
{"userID": "679d3bad-155e-4b39-9ff7-7d564f408942", "Is salary credited before 5th": "Yes", "Avg Salary of last 3 months": 15453.33, "Avg Salary of last 6 months": 15290.5, "Avg Balance before salary of last 3 months": 113.15, "Avg Balance before salary of last 6 months": 105.22}
码
with open('/Users/vrindabv/Documents/PycharmProjects/BankStatementEngine/test.json', "r") as f:
BankData = json.loads(f.read())
x = json.loads(json.dumps(BankData))
f = csv.writer(open("/Users/vrindabv/Documents/PycharmProjects/BankStatementEngine/test.csv", "w"))
f.writerow(["userID", "Is salary credited before 5th", "Avg Salary of last 3 months", "Avg Salary of last 6 months", "Avg Balance before salary of last 3 months", "Avg Balance before salary of last 6 months"])
for y in x:
f.writerow([x["userID"], x["Is salary credited before 5th"],
x["Avg Salary of last 3 months"],
x["Avg Salary of last 6 months"],
x["Avg Balance before salary of last 3 months"],
x["Avg Balance before salary of last 6 months"]])
输出量
userID,Is salary credited before 5th,Avg Salary of last 3 months,Avg Salary of last 6 months,Avg Balance before salary of last 3 months,Avg Balance before salary of last 6 months
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
679d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22
因此，在这里我确实得到了答案，但是没有打印一次，而是打印了7次。如何解决此问题。
BankData是一个字典，您不需要对其进行迭代。您可以使用键直接访问值。
例如：
import csv
import json
with open('/Users/vrindabv/Documents/PycharmProjects/BankStatementEngine/test.json') as infile:
BankData = json.loads(infile.read())
with open("/Users/vrindabv/Documents/PycharmProjects/BankStatementEngine/test.csv", "w") as outfile:
f = csv.writer(outfile)
f.writerow(["userID", "Is salary credited before 5th", "Avg Salary of last 3 months", "Avg Salary of last 6 months", "Avg Balance before salary of last 3 months", "Avg Balance before salary of last 6 months"])
f.writerow([BankData["userID"], BankData["Is salary credited before 5th"],
BankData["Avg Salary of last 3 months"],
BankData["Avg Salary of last 6 months"],
BankData["Avg Balance before salary of last 3 months"],
BankData["Avg Balance before salary of last 6 months"]])
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