Python 3.x 需要帮助使用Python从API中提取JSON数据并将其加载到SQL表中吗
请您帮助我编写Python逻辑，从API中提取JSON数据，并将其直接加载到SQL表中 我已经编写了这段Python代码，它在平面JSON结构中运行良好，但如果JSON有子数组，它就会失败 例如，Sales可以在一个JSON文件中附加一个标题记录和多个行记录。我能够提取和加载标题数据，但无法加载行数据 以下是我现有的Python代码：Python 3.x 需要帮助使用Python从API中提取JSON数据并将其加载到SQL表中吗,python-3.x,Python 3.x,请您帮助我编写Python逻辑，从API中提取JSON数据，并将其直接加载到SQL表中 我已经编写了这段Python代码，它在平面JSON结构中运行良好，但如果JSON有子数组，它就会失败 例如，Sales可以在一个JSON文件中附加一个标题记录和多个行记录。我能够提取和加载标题数据，但无法加载行数据 以下是我现有的Python代码： import requests from requests.auth import HTTPBasicAuth import json import pandas
import requests
from requests.auth import HTTPBasicAuth
import json
import pandas as pd
Endpoint = "https://api.cin7.com/api"
FullEndpointExtension = "/v1/SalesOrders?order=Id&page=1&rows=250"
User_name = "XXXXX"
Password_key = "YYYYYY"
Authentication = HTTPBasicAuth(User_name, Password_key)
try:
response = requests.get(Endpoint + FullEndpointExtension, auth = Authentication)
DataFrame= pd.read_json(response.text)
DataFrame = DataFrame[['id','createdDate','modifiedDate','createdBy','processedBy','isApproved','reference','memberId','firstName','lastName','company','email','phone','mobile','fax','deliveryFirstName','deliveryLastName','deliveryCompany','deliveryAddress1','deliveryAddress2','deliveryCity','deliveryState','deliveryPostalCode','deliveryCountry','billingFirstName','billingLastName','billingCompany','billingAddress1','billingAddress2','billingCity','billingPostalCode','billingState','billingCountry','branchId','branchEmail','projectName','trackingCode','internalComments','productTotal','freightTotal','freightDescription','surcharge','surchargeDescription','discountTotal','discountDescription','total','currencyCode','currencyRate','currencySymbol','taxStatus','taxRate','source','isVoid','memberEmail','memberCostCenter','memberAlternativeTaxRate','costCenter','alternativeTaxRate','estimatedDeliveryDate','salesPersonId','salesPersonEmail','paymentTerms','customerOrderNo','voucherCode','deliveryInstructions','status','stage','invoiceDate','invoiceNumber','dispatchedDate','logisticsCarrier','logisticsStatus','distributionBranchId','lineItems']]
#Capture Error Message
except Exception as ErrorMessage:
Message = str(ErrorMessage)
print(Message)
else:
Message = 'Successfully Completed'
print(Message)
DataFrame
Sample code:
import json
import requests
import pandas as pd
from io import StringIO
response = requests.get("https://api.github.com/events")
DataFrame= pd.read_json(StringIO(response.text))
for I in DataFrame['actor']:
print(DataFrame['id'],I['id'],I['login'])
导入json
作为pd进口熊猫
从pandas导入json_规范化
#https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.json_normalize.html
#https://www.kaggle.com/jboysen/quick-tutorial-flatten-nested-json-in-pandas
端点=”https://api.cin7.com/api"
FullEndpointExtension=“/v1/SalesOrders？其中=id=2666&order=id&page=1&rows=250”
User_name=“xxxxxx”
密码\u key=“xxxxxxx”
身份验证=HTTPBasicAuth（用户名、密码和密钥）
r=requests.get（Endpoint+FullEndpointExtension，auth=Authentication）
d=json.loads（r.text）
result1=json\u规范化（数据=d，记录路径='lineItems'，元=['id']，错误='ignore'，元前缀='Header'）
打印（结果1）