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[英]Pandas json normalize an object property containing an array of objects
[英]Pandas json normalize array of objects
我正在尝试用 Pandas 格式化一个 json。 但我遇到了困难。
我尝试使用Pandas json 规范化包含对象数组的对象属性作为示例,但我不能。
杰森:
{
"meta": {
"res_type": "scalar",
"responses": []
},
"data": [
{
"type": "scalar_response",
"attributes": {
"columns": [
{
"type": "group",
"name": "service",
"values": [
[
"service_aaaaaa"
],
[
"service_bbbbbb"
]
]
},
{
"type": "number",
"meta": {
"unit": null
},
"values": [
0.04434908435530647,
0.03417774374093277
],
"name": "query1"
},
{
"type": "number",
"meta": {
"unit": [
{
"scale_factor": 1.0,
"name": "second",
"family": "time",
"short_name": "s",
"plural": "seconds",
"id": 11
},
null
]
},
"values": [
44.23442286901232,
114.35570798348397
],
"name": "query2"
},
{
"type": "number",
"meta": {
"unit": [
{
"scale_factor": 1.0,
"name": "hit",
"family": "cache",
"short_name": null,
"plural": "hits",
"id": 39
},
null
]
},
"values": [
5.501870351870352,
32.807906894100927
],
"name": "query3"
},
{
"type": "number",
"meta": {
"unit": [
{
"scale_factor": 1.0,
"name": "error",
"family": "general",
"short_name": "err",
"plural": "errors",
"id": 44
},
null
]
},
"values": [
null,
3.8181818181818185
],
"name": "query4"
},
{
"type": "number",
"meta": {
"unit": null
},
"values": [
0.0,
0.11637992726894603
],
"name": "query4 / query3"
}
]
}
}
]
}
预期输出:
service query1 query2 query3 query4 query4 / query3
service_aaaaaa 0.04434908435530647 44.23442286901232 5.501870351870352 null 0.0
service_bbbbbb 0.03417774374093277 114.35570798348397 32.807906894100927 3.8181818181818185 0.11637992726894603
我尝试了几种方法,但都没有成功。
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