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Read top-level JSON dictionary incrementally using Python ijson

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问题 I have the following data in my JSON file: { "first": { "name": "James", "age": 30 }, "second": { "name": "Max", "age": 30 }, "third": { "name": "Norah", "age": 30 }, "fourth": { "name": "Sam", "age": 30 } } I want to print the top-level key and object as follows: import json import ijson fname = "data.json" with open(fname) as f: raw_data = f.read() data = json.loads(raw_data) for k in data.keys(): print k, data[k] OUTPUT: second {u'age': 30, u'name': u'Max'} fourth {u'age': 30, u'name': u

ijson fails with trailing garbage parse error

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来源： https://stackoverflow.com/questions/59346164/ijson-fails-with-trailing-garbage-parse-error

Load an element with python from large json file

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问题 So, here is my json file. I want to load the data list from it, one by one, and only it. And then, for exemple plot it... This is an exemple, because I am dealing with large data set, with wich I could not load all the file (that would create a memory error). { "earth": { "europe": [ {"name": "Paris", "type": "city"}, {"name": "Thames", "type": "river"}, {"par": 2, "data": [1,7,4,7,5,7,7,6]}, {"par": 2, "data": [1,0,4,1,5,1,1,1]}, {"par": 2, "data": [1,0,0,0,5,0,0,0]} ], "america": [ {"name":

Load an element with python from large json file

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Loading Large Twitter JSON Data (7GB+) into Python

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I've set up a public stream via AWS to collect tweets and now want to do some preliminary analysis. All my data was stored on an S3 bucket (in 5mb files). I downloaded everything and merged all the files into one. Each tweet is stored as a standard JSON object as per Twitter specifications. Basically, the consolidated file contains multiple JSON objects. I added opening and closing square brackets ( [] ) to make it look like a list of dictionaries for when it gets read into Python. So the structure is kinda like this (I'm not sure if I can just post twitter data here): [{"created_at":"Mon Sep

Loading Large Twitter JSON Data (7GB+) into Python

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问题 I've set up a public stream via AWS to collect tweets and now want to do some preliminary analysis. All my data was stored on an S3 bucket (in 5mb files). I downloaded everything and merged all the files into one. Each tweet is stored as a standard JSON object as per Twitter specifications. Basically, the consolidated file contains multiple JSON objects. I added opening and closing square brackets ( [] ) to make it look like a list of dictionaries for when it gets read into Python. So the