如何将Google地图时间轴Json数据导入DataFrame

Question

我从谷歌地图时间线得到了我的通勤报告，它是json格式。我使用这些代码：

with open('Location History.json', encoding='utf-8') as data_file:
  data = json.loads(data_file.read())
  pd.DataFrame(data)

数据框只有一个“位置”列。

{"locations" : [ {
"timestampMs" : "1501812184856",
"latitudeE7" : 390632197,
"longitudeE7" : -771227158,
"accuracy" : 10,
"velocity" : 1,
"heading" : 226,
"altitude" : 146,
"verticalAccuracy" : 12
 }, {
"timestampMs" : "1501813902831",
"latitudeE7" : 390624516,
"longitudeE7" : -771212199,
"accuracy" : 10,
"velocity" : 5,
"heading" : 316,
"altitude" : 126,
"verticalAccuracy" : 16
 },

任何建议如何将文件读入多个列，并为每个dict成员读取一行。

Answer 1

从初始json中提取'location'，然后转换为DataFrame

with open('Location History.json', encoding='utf-8') as data_file:
    data = json.loads(data_file.read())

pd.DataFrame(data['locations'])