使用 pyjq 我能够解析 json 文件中的值。我需要对输出进行更多格式化,以便可以将其导出到 csv。
import json
import csv
import pyjq
emp_data = open('example.json', 'r')
emp_data_parsed = json.loads(emp_data.read())
emp = pyjq.all ('.base[].base[].uid, .base[].base[].name', emp_data_parsed)
print emp
我得到的输出
[u'2da21174-0af8-4b5b-b02e-2957a24d70e1', u'fcc5a2c8-3a78-4cc5-9fd3-e7bd59eb36ba', u'4ecf6450-7307-466c-bf19-663ba2fbaf69', None, u'Tommy', u'Sam',
预期输出如下,以便可以写入 csv 文件。
uid,name
'2da21174-0af8-4b5b-b02e-2957a24d70e1','None'
'fcc5a2c8-3a78-4cc5-9fd3-e7bd59eb36ba','Tommy'
'4ecf6450-7307-466c-bf19-663ba2fbaf69','Sam'
以下是sample.json文件
example.json
{
"base": [
{
"base": [
{
"item-number": 1,
"type": "access-item",
"uid": "2da21174-0af8-4b5b-b02e-2957a24d70e1",
"usage": {
"last-date": {
"iso-8601": "2018-03-19T03:58-0500",
},
},
"item-number": 2,
"name": "Tommy",
"type": "access-item",
"uid": "fcc5a2c8-3a78-4cc5-9fd3-e7bd59eb36ba",
"item-number": 3,
"name": "Sam",
"type": "access-item",
"uid": "4ecf6450-7307-466c-bf19-663ba2fbaf69",
"usage": {
"last-date": {
"iso-8601": "2018-03-21T07:21-0500",
},
},
}
],
}
],
}
我不确定除了 pyjq 之外,还有其他方法可以做到这一点。如果是这样,请告诉我。
最佳答案
Question: I need to format the output bit more so this can be exported to csv.
无法使用pyjp
进行测试,从Project description猜测,尝试:
pyjq.all('.base[].base[] | {"uid": .uid, "item-number":.item-number}', emp_data_parsed)
像这样循环 JSON:
for rec in emp_data_parsed['base'][0]['base']:
print("{}".format(rec))
Output:
{'uid': '2da21174-0af8-4b5b-b02e-2957a24d70e1', 'item-number': 1}, ... (omitted for brevity) {'uid': 'fcc5a2c8-3a78-4cc5-9fd3-e7bd59eb36ba', 'item-number': 2}, ... (omitted for brevity) {'uid': '4ecf6450-7307-466c-bf19-663ba2fbaf69', 'item-number': 3}, ... (omitted for brevity)
输出已准备好供 csv.DictWriter
读取 csv.DictWriter ,例如:
import csv
with open('test.csv', 'w') as csv_file:
fieldnames = ['uid', 'item-number']
writer = csv.DictWriter(csv_file, fieldnames=fieldnames, extrasaction='ignore')
writer.writeheader()
for record in emp_data_parsed['base'][0]['base']:
writer.writerow(record)
Output:
uid,name 2da21174-0af8-4b5b-b02e-2957a24d70e1,None fcc5a2c8-3a78-4cc5-9fd3-e7bd59eb36ba,Tommy 4ecf6450-7307-466c-bf19-663ba2fbaf69,Sam
关于python - 使用pyjq解析多个json值,用逗号分隔,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/52494242/