使用Python的JSON单行解析到多行CSV

时间:2016-12-15 02:05:21

标签: python json csv plaid

我是一名Python noob,并使用Plaid API来获取银行交易。我希望每个事务都是它自己的行,我只想为每条记录提取四个值:date,_account,name&数量,并使用该数据填充CSV文件。我有下面的代码填充单行CSV(JSON文件也附加)。我似乎无法弄清楚我在寻找一些关于如何在谷歌搜索之后如何做到这一点的例子。非常感谢任何帮助。

import csv

#Configuration
from plaid import Client

Client.config({
    'url': 'https://api.plaid.com'
})

#Connect to Plaid
from plaid import Client
from plaid import errors as plaid_errors
from plaid.utils import json

client = Client(client_id='test_id', secret='test_secret')
account_type = 'suntrust'

try:
    response = client.connect(account_type, {
    'username': 'plaid_test',
    'password': 'plaid_good'
    })
except plaid_errors.PlaidError:
     pass
else:
    connect_data = response.json()

#Get transactions from Plaid
response = client.connect_get()
transactions = response.json()

#Save the transactions JSON response to a csv file in the Python Projects directory
with open('transactions.csv', 'w') as outfile:
    json.dump(transactions, outfile)

csvfile = open('transactions.csv', 'r')
jsonfile = open('transactions.json', 'w')

fieldnames = ("date", "_account","name","amount")
reader = csv.DictReader(csvfile, fieldnames)
for row in reader:
    json.dump(row, jsonfile)
    jsonfile.write('\n')

JSON FILE

1 个答案:

答案 0 :(得分:1)

我认为你正在使这个过于复杂和令人困惑的JSON与CSV。向@thalesmallo提示,他使用DictWriter课程打败了我。试试这个:

import csv
from plaid import Client

Client.config({
    'url': 'https://api.plaid.com'
})

#Connect to Plaid
from plaid import Client
from plaid import errors as plaid_errors
from plaid.utils import json

client = Client(client_id='test_id', secret='test_secret')
account_type = 'suntrust'

try:
    response = client.connect(account_type, {
        'username': 'plaid_test',
        'password': 'plaid_good'
    })
except plaid_errors.PlaidError:
     pass
else:
    connect_data = response.json()
response = client.connect_get()
data = response.json()
transactions = data['transactions'] # see https://plaid.com/docs/api/#data-overview

#Save the transactions JSON response to a csv file in the Python Projects directory
header = ("date", "_account", "name", "amount")
with open('transactions.csv', 'w') as f:
    writer = csv.DictWriter(f, fieldnames=header, extrasaction='ignore')
    writer.writeheader()
    for x in transactions:
        writer.writerow(x)