I am very new to Json files. If I have a json file with multiple json objects such as following:
{"ID":"12345","Timestamp":"20140101", "Usefulness":"Yes",
"Code":[{"event1":"A","result":"1"},…]}
{"ID":"1A35B","Timestamp":"20140102", "Usefulness":"No",
"Code":[{"event1":"B","result":"1"},…]}
{"ID":"AA356","Timestamp":"20140103", "Usefulness":"No",
"Code":[{"event1":"B","result":"0"},…]}
…
I want to extract all "Timestamp" and "Usefulness" into a data frames:
Timestamp Usefulness
0 20140101 Yes
1 20140102 No
2 20140103 No
…
Does anyone know a general way to deal with such problems?
Use a json array, in the format:
[
{"ID":"12345","Timestamp":"20140101", "Usefulness":"Yes",
"Code":[{"event1":"A","result":"1"},…]},
{"ID":"1A35B","Timestamp":"20140102", "Usefulness":"No",
"Code":[{"event1":"B","result":"1"},…]},
{"ID":"AA356","Timestamp":"20140103", "Usefulness":"No",
"Code":[{"event1":"B","result":"0"},…]},
...
]
Then import it into your python code
import json
with open('file.json') as json_file:
data = json.load(json_file)
Now the content of data is an array with dictionaries representing each of the elements.
You can access it easily, i.e:
data[0]["ID"]