[英]How to group a json by a nested key using Python?
Lets say we have a json object in Python:假设我们在 Python 中有一个 json object:
myJson = [
{
"id": "123",
"name": "alex",
"meta": {
"city": "boston"
}
},
{
"id": "234",
"name": "mike",
"meta": {
"city": "seattle"
}
},
{
"id": "345",
"name": "jess",
"meta": {
"city": "boston"
}
}
]
What is the most efficient way to group this data by city, so that we end up with a json in which we group the data by city such that we end up with a json as:按城市对这些数据进行分组的最有效方法是什么,因此我们最终得到 json,其中我们按城市对数据进行分组,最终得到 json:
myNewJson = [
{
"city": "boston",
"people": [ ... ... ]
},
{
"city": "seattle",
"people": [ ... ]
}
]
... in which the content of the people are included in "people" key. ... ...其中人的内容包含在“人”键中。
Thanks谢谢
Seems like a dictionary could work.似乎字典可以工作。 Use city names as the keys, and a list as the value.使用城市名称作为键,使用列表作为值。 Then at the end, go through the dictionary and convert it to a list.然后最后,通过字典 go 并将其转换为列表。
myJson = [
{
"id": "123",
"name": "alex",
"meta": {
"city": "boston"
}
},
{
"id": "234",
"name": "mike",
"meta": {
"city": "seattle"
}
},
{
"id": "345",
"name": "jess",
"meta": {
"city": "boston"
}
}
]
d = dict() # dictionary of {city: list of people}
for e in myJson:
city = e['meta']['city']
if city not in d:
d[city] = list()
d[city].append(e['name'])
# convert dictionary to list of json
result = list()
for key, val in d.items():
result.append({'city': key, 'people': val})
print(result)
Try:尝试:
myJson = [
{"id": "123", "name": "alex", "meta": {"city": "boston"}},
{"id": "234", "name": "mike", "meta": {"city": "seattle"}},
{"id": "345", "name": "jess", "meta": {"city": "boston"}},
]
out = {}
for d in myJson:
out.setdefault(d["meta"]["city"], []).append(d["name"])
out = [{"city": k, "people": v} for k, v in out.items()]
print(out)
Prints:印刷:
[
{"city": "boston", "people": ["alex", "jess"]},
{"city": "seattle", "people": ["mike"]},
]
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