如何将Tinder data.json转换为CSV

费利佩·霍法

Tinder允许您导出数据（https://account.gotinder.com/data），最终导出data.json文件。

如何将该嵌套的json转换为可加载到电子表格中的CSV文件？

该文件如下所示：

$ cat data.json  |jq .Usage
{
  "app_opens": {
    "2018-06-03": 3,
    "2018-06-04": 10,
    "2018-06-05": 2,
...

用途：

messages_sent
matches
messages_received
swipes_passes
swipes_likes
app_opens

具有有趣数据的完整json如下所示：

{
    "Usage": {
        "app_opens": {
            "2018-06-03": 3,
            "2018-06-04": 10,
            "2018-06-05": 2
        },
        "messages_sent": {
            "2018-06-03": 7,
            "2018-06-04": 9,
            "2018-06-05": 0
        },
        "matches": {
            "2018-06-03": 3,
            "2018-06-04": 1,
            "2018-06-05": 7
        },
        "messages_received": {
            "2018-06-03": 30,
            "2018-06-04": 1,
            "2018-06-05": 20
        },
        "swipes_passes": {
            "2018-06-03": 56,
            "2018-06-04": 1,
            "2018-06-05": 8
        },
        "swipes_likes": {
            "2018-06-03": 30,
            "2018-06-04": 4,
            "2018-06-05": 4
        }
    }
}

输出应如下所示：

date,messages_sent,matches,messages_received,swipes_passes,swipes_likes,app_opens
2018-06-03,0,2,0,4,10,2
2018-06-04,2,2,1,1,18,6
2018-06-05,35,7,32,1,47,3

费利佩·霍法

此Python代码将完成此工作：

from __future__ import print_function
import json
import itertools

# load json into an object
with open('data.json') as f:
  d = json.load(f)
usage = d['Usage']

# get all listed dates
dates = sorted(set(itertools.chain.from_iterable([[day for day in usage[t]] for t in usage])))

# pivot data into one row per date with multiple columns
print(','.join(['date']+[t for t in usage]))
for day in dates:
  print(','.join([day] + [str(usage[t][day]) for t in usage]))

这会将json文件中的使用情况数据转换为如下所示的csv：

date,messages_sent,matches,messages_received,swipes_passes,swipes_likes,app_opens
2018-06-03,0,2,0,4,10,2
2018-06-04,2,2,1,1,18,6
2018-06-05,35,7,32,1,47,3
2018-06-06,16,1,9,4,32,2

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