[英]Extract nested JSON values
I am trying to figure out on how to convert the following JSON object in to a dataframe我想弄清楚如何将以下 JSON 对象转换为数据帧
[
{
"id":"123",
"sources":[
{
"name":"ABC",
"first":"2020-02-26T03:19:23.247Z",
"last":"2020-02-26T03:19:23.247Z"
},
{
"name":"XYZ",
"first":"2020-02-26T03:19:23.247Z",
"last":"2020-02-26T03:19:23.247Z"
}
]
}
]
The dataframe should appear like this.
id ABC.first ABC.last XYZ.first XYZ.last
123 2020-02-26.. 2020-02-26.. 2020-02-26.. 2020-02-26T03:19:23.247Z
Thanks in advance for your help在此先感谢您的帮助
Python includes the useful json
module. Python 包含有用的
json
模块。 You can find some documentation for it here .您可以在此处找到有关它的一些文档。
To use it , you'll need to import it into your Python script using the import json
command.要使用它,您需要使用
import json
命令将其import json
Python 脚本。
From there, you can use the json.loads()
method and pass it a some JSON.从那里,您可以使用
json.loads()
方法并将其传递给一些 JSON。 The loads()
method returns a Python dictionary which then lets you access the properties of your JSON object by name. loads()
方法返回一个Python 字典,然后您可以通过该字典按名称访问 JSON 对象的属性。 Some example code might look like:一些示例代码可能如下所示:
import json
# some JSON:
personJSON = '{"name":"John", "age":30, "city":"New York", "address": {"street": "Fake Street", "streetNumber": "123"}}'
# parse personJSON:
personDict = json.loads(personJSON)
# the result is a Python dictionary:
print(personDict["name"]) # Will print "John"
print(personDict["address"]["street"]) # Will print "Fake Street"
Good luck!祝你好运!
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