Python 将Json转换为CSV

我有这种格式的json，希望转换成CSV文件

{
  "extrapolationLevel": 1,
  "columnNames": [
    "name",
    "usersession.country",
    "application",
    "usersession.osFamily",
    "usersession.startTime",
    "visuallyCompleteTime"
  ],
  "values": [
    [
      "pdp",
      "Serbia",
      "Desktop",
      "Windows",
      1573215462076,
      1503
    ],

  ]
}

我想把这个json转换成CSV格式这是我的脚本

import csv
import json

with open('response_1573222394875.json') as infile:
    Data = json.loads(infile.read())

with open("q.csv", "w") as outfile:
    f = csv.writer(outfile)
    f.writerow(["name","usersession.country","application","usersession.osFamily","usersession.startTime","visuallyCompleteTime"])
    f.writerow([Data["name"], Data["usersession.country"],
                Data["application"],
                Data["usersession.osFamily"],
                Data["usersession.startTime"],
                Data["visuallyCompleteTime"]])

预期产量

 name usersession.country application usersession.osFamilyusersession.startTime visuallyCompleteTime
      pdp      Serbia      Desktop      Windows      1573215462076      1503
      plp      us           APP           Windows      1573215462076      1548
    startpage  uk            Site         Windows      1573215462076      1639
      product  india      Desktop        Windows      1573215462076      3194
       pdp     Vietnam      APP         Windows        1573215462076      3299

---

有人能帮我吗

数据的键是

“extractionlevel”

，

“columnNames”

和

“values”

，除此之外没有其他键<例如，code>Data[“usersession.country”]没有意义，因为没有包含该键的字典。这些值只存储在列表中。以下是您需要做的所有事情：

打开（“q.csv”、“w”）作为输出文件：
f=csv.writer（输出文件）
f、 writerow（数据[“columnNames”]）
f、 writerows（数据[“值”]）

[“产品”、“印度”、“HM桌面”、“Windows”，1573254620763194]，“pdp”、“越南”、“HM桌面”、“Windows”，1573254620763299]}

import json

json_str = '''
{
  "extrapolationLevel": 1,
  "columnNames": [
    "name",
    "usersession.country",
    "application",
    "usersession.osFamily",
    "usersession.startTime",
    "visuallyCompleteTime"
  ],
  "values": [
    [
      "pdp",
      "Serbia",
      "Desktop",
      "Windows",
      1573215462076,
      1503
    ]
  ]
}
'''

data = json.loads(json_str)

csv_row = lambda v: ('"{}",' * len(v)).format(*v)[:-1] # remove trailing comma

print(csv_row(data["columnNames"]))
for value in data["values"]:
    print(csv_row(value))