[英]How to preserve trailing zeros with Python CSV Writer
我正在尝试将具有单独json行的json文件转换为csv。 json数据包含一些我需要维护的带有尾随零的元素(例如1.000000)。 写入csv时,该值将更改为1.0,删除除小数点后的第一个零外的所有尾随零。 如何保持所有尾随零? 尾随零的数目可能并不总是静态的。
更新了示例数据的格式。
这是json输入的示例:
{"ACCOUNTNAMEDENORM":"John Smith","DELINQUENCYSTATUS":2.0000000000,"RETIRED":0.0000000000,"INVOICEDAYOFWEEK":5.0000000000,"ID":1234567.0000000000,"BEANVERSION":69.0000000000,"ACCOUNTTYPE":1.0000000000,"ORGANIZATIONTYPEDENORM":null,"HIDDENTACCOUNTCONTAINERID":4321987.0000000000,"NEWPOLICYPAYMENTDISTRIBUTABLE":"1","ACCOUNTNUMBER":"000-000-000-00","PAYMENTMETHOD":12345.0000000000,"INVOICEDELIVERYTYPE":98765.0000000000,"DISTRIBUTIONLIMITTYPE":3.0000000000,"CLOSEDATE":null,"FIRSTTWICEPERMTHINVOICEDOM":1.0000000000,"HELDFORINVOICESENDING":"0","FEINDENORM":null,"COLLECTING":"0","ACCOUNTNUMBERDENORM":"000-000-000-00","CHARGEHELD":"0","PUBLICID":"xx:1234346"}
这是输出示例:
ACCOUNTNAMEDENORM,DELINQUENCYSTATUS,RETIRED,INVOICEDAYOFWEEK,ID,BEANVERSION,ACCOUNTTYPE,ORGANIZATIONTYPEDENORM,HIDDENTACCOUNTCONTAINERID,NEWPOLICYPAYMENTDISTRIBUTABLE,ACCOUNTNUMBER,PAYMENTMETHOD,INVOICEDELIVERYTYPE,DISTRIBUTIONLIMITTYPE,CLOSEDATE,FIRSTTWICEPERMTHINVOICEDOM,HELDFORINVOICESENDING,FEINDENORM,COLLECTING,ACCOUNTNUMBERDENORM,CHARGEHELD,PUBLICID
John Smith,2.0,0.0,5.0,1234567.0,69.0,1.0,,4321987.0,1,000-000-000-00,10012.0,10002.0,3.0,,1.0,0,,0,000-000-000-00,0,bc:1234346
这是代码:
import json
import csv
f=open('test2.json') #open input file
outputFile = open('output.csv', 'w', newline='') #load csv file
output = csv.writer(outputFile) #create a csv.writer
i=1
for line in f:
try:
data = json.loads(line) #reads current line into tuple
except:
print("Can't load line {}".format(i))
if i == 1:
header = data.keys()
output.writerow(header) #Writes header row
i += 1
output.writerow(data.values()) #writes values row
f.close() #close input file
所需的输出如下所示:
ACCOUNTNAMEDENORM,DELINQUENCYSTATUS,RETIRED,INVOICEDAYOFWEEK,ID,BEANVERSION,ACCOUNTTYPE,ORGANIZATIONTYPEDENORM,HIDDENTACCOUNTCONTAINERID,NEWPOLICYPAYMENTDISTRIBUTABLE,ACCOUNTNUMBER,PAYMENTMETHOD,INVOICEDELIVERYTYPE,DISTRIBUTIONLIMITTYPE,CLOSEDATE,FIRSTTWICEPERMTHINVOICEDOM,HELDFORINVOICESENDING,FEINDENORM,COLLECTING,ACCOUNTNUMBERDENORM,CHARGEHELD,PUBLICID
John Smith,2.0000000000,0.0000000000,5.0000000000,1234567.0000000000,69.0000000000,1.0000000000,,4321987.0000000000,1,000-000-000-00,10012.0000000000,10002.0000000000,3.0000000000,,1.0000000000,0,,0,000-000-000-00,0,bc:1234346
我一直在尝试,我认为这可以解决您的问题:
将str函数传递给json.loads中的parse_float参数:)
data = json.loads(line, parse_float=str)
这样,当json.loads()尝试解析浮点数时,它将使用str方法,以便将其解析为字符串并保持零。 尝试这样做,它的工作原理是:
i=1
for line in f:
try:
data = json.loads(line, parse_float=str) #reads current line into tuple
except:
print("Can't load line {}".format(i))
if i == 1:
header = data.keys()
print(header) #Writes header row
i += 1
print(data.values()) #writes values row
此处更多信息: Json文档
PS:您可以使用布尔值而不是i + = 1来获得相同的行为。
json
模块的解码器默认情况下会解析带float
的实数,因此不会保留尾随零,因为它们在Python中不是。 您可以使用json.loads
方法的parse_float
参数使用str
构造函数来覆盖JSON解码器的实数构造函数:
data = json.loads(line, parse_float=str)
使用格式,但是这里需要给出静态的十进制精度。
>>> '{:.10f}'.format(10.0)
'10.0000000000'
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.