如何读取由新行分隔的多个json对象的json文件？

Question

I want to read a json file in which each line contains a new json object.

File looks like below -

{'P':'a1','D':'b1','T':'c1'}
{'P':'a2','D':'b2','T':'c2'}
{'P':'a3','D':'b3','T':'c3'}
{'P':'a4','D':'b4','T':'c4'}

I'm trying to read this file like below -

print pd.read_json("sample.json", lines = True)

I'm facing below exception -

ValueError: Expected object or value

Actually this sample.json file is of ~240mb. Format of this file is like this only. It's each line contains one new json object and I want to read this file using python pandas .

Answer 1

As others have said in the comments, it's not really JSON. You can use ast.literal_eval() :

import pandas as pd
import ast

with open('sample.json') as f:
    content = f.readlines()

pd.DataFrame([ast.literal_eval(line) for line in content])

Or replace the single quotes with doubles:

import pandas as pd
import json

with open('sample.json') as f:
    content = f.readlines()

pd.DataFrame([json.loads(line.replace("'", '"')) for line in content])