How to load and parse a JSON file with multiple JSON objects with Python? To load and parse a JSON file with multiple JSON objects with Python, we can use open the file and parse the JSON object in each line. to open the file file with open . And then we loop through each line in f with a for loop.
We can merge two JSON objects using the putAll() method (inherited from interface java.
JSON arrays can be of multiple data types. JSON array can store string , number , boolean , object or other array inside JSON array. In JSON array, values must be separated by comma. Arrays in JSON are almost the same as arrays in JavaScript.
You have a JSON Lines format text file. You need to parse your file line by line:
import json
data = []
with open('file') as f:
for line in f:
data.append(json.loads(line))
Each line contains valid JSON, but as a whole, it is not a valid JSON value as there is no top-level list or object definition.
Note that because the file contains JSON per line, you are saved the headaches of trying to parse it all in one go or to figure out a streaming JSON parser. You can now opt to process each line separately before moving on to the next, saving memory in the process. You probably don't want to append each result to one list and then process everything if your file is really big.
If you have a file containing individual JSON objects with delimiters in-between, use How do I use the 'json' module to read in one JSON object at a time? to parse out individual objects using a buffered method.
for those stumbling upon this question: the python jsonlines
library (much younger than this question) elegantly handles files with one json document per line. see https://jsonlines.readthedocs.io/
That is ill-formatted. You have one JSON object per line, but they are not contained in a larger data structure (ie an array). You'll either need to reformat it so that it begins with [
and ends with ]
with a comma at the end of each line, or parse it line by line as separate dictionaries.
In case you are using pandas
and you will be interested in loading the json
file as a dataframe, you can use:
import pandas as pd
df = pd.read_json('file.json', lines=True)
And to convert it into a json array, you can use:
df.to_json('new_file.json')
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