74

I want to load a JSONL file as JSON objects in python. Is there an easy way to do so?

martineau
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MBT
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    How? Do you want to make each line an entry in an array? A JSON file *can't store* multiple items without them being in a top-level object -- that's the whole point of having the JSONL format at all. – Charles Duffy May 22 '18 at 20:03
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    ...and is there really a reason you want to do this in Python, vs. as a one-liner in `jq`? – Charles Duffy May 22 '18 at 20:03
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    Thx for the comment. I haven't really been using these formats before and obviously I didn't really got the point of JSONL - your comment helped me to do so! Actually the given answer is still useful to me - so I edited the question that it makes sense.. Thx again for the comment! – MBT May 22 '18 at 20:49

5 Answers5

75

Full steps including file operations for beginners like me

Assuming you have a .jsonl file like:

{"reviewerID": "A2IBPI20UZIR0U", "asin": "1384719342", "reviewerName": "cassandra tu \"Yeah, well, that's just like, u...", "helpful": [0, 0], "reviewText": "Not much to write about here, but it does exactly what it's supposed to. filters out the pop sounds. now my recordings are much more crisp. it is one of the lowest prices pop filters on amazon so might as well buy it, they honestly work the same despite their pricing,", "overall": 5.0, "summary": "good", "unixReviewTime": 1393545600, "reviewTime": "02 28, 2014"}
{"reviewerID": "A14VAT5EAX3D9S", "asin": "1384719342", "reviewerName": "Jake", "helpful": [13, 14], "reviewText": "The product does exactly as it should and is quite affordable.I did not realized it was double screened until it arrived, so it was even better than I had expected.As an added bonus, one of the screens carries a small hint of the smell of an old grape candy I used to buy, so for reminiscent's sake, I cannot stop putting the pop filter next to my nose and smelling it after recording. :DIf you needed a pop filter, this will work just as well as the expensive ones, and it may even come with a pleasing aroma like mine did!Buy this product! :]", "overall": 5.0, "summary": "Jake", "unixReviewTime": 1363392000, "reviewTime": "03 16, 2013"}

This code should work:

import json

with open('./data/my_filename.jsonl', 'r') as json_file:
    json_list = list(json_file)

for json_str in json_list:
    result = json.loads(json_str)
    print(f"result: {result}")
    print(isinstance(result, dict))

About .jsonl files:
http://jsonlines.org/

cryanbhu
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75

Setting the parameter lines to True should do the trick.

import pandas as pd    
jsonObj = pd.read_json(path_or_buf=file_path, lines=True)
Bahri Mohamed Aziz
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30

The splitlines would address that problem for you, so In general the code below will work for you:

import json

result = [json.loads(jline) for jline in jsonl_content.splitlines()]

If that's the response object the result would be:

result = [json.loads(jline) for jline in response.read().splitlines()]
Andriy Ivaneyko
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27

Quick and easy native solution without using any split() functions:

import json
with open('/path/to/file.jsonl') as f:
    data = [json.loads(line) for line in f]
MBT
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3

You can add more keys, but this should work. Say, each line is of the following format. Basically, j_line is a dictionary and access each element like how you would access a dictionary. I have shared accessing nested objects as well.

{"key1":"value", "key2":{"prop_1": "value"}}

with open("foo.jsonl") as f1:
   for line in f1:
      j_line=json.loads(line)
      key_1=j_line['key1'] 
      prop_1=j_line['key2']['prop_2]
san
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