for prefix, event, value in parser:
print(prefix)
I get the following error after executing the above code , I dont understand what the error is.
ijson.common.IncompleteJSONError: parse error: trailing garbage
…
I am trying to parse a big json file (hundreds of gigs) to extract information from its keys. For simplicity, consider the following example:
import random, string
# To create a random key
def random_string(length):
return…
I am working on a very big JSON file, and I decided to use the ijson library.
Now I want to update some value in this JSON file, but I don't know how.
For example, from:
{"age": 25, "gender": "M"}
update to:
{"age": 30, "gender": "F"}
by using the…
I am reading a big array of JSONS from a file with ijson.items , but numbers are converted to type Decimal.
Example Decimal('14.2')
The documentation says that there is an option use-float = true. But I don't know where to put this option.
Is it…
I have a .json file where each line is an object. For example, first two lines are:
{"review_id":"x7mDIiDB3jEiPGPHOmDzyw","user_id":"msQe1u7Z_XuqjGoqhB0J5g","business_id":…
I have this massive json file (8gb), and I run out of memory when trying to read it in to Python. How would I implement a similar procedure using ijson or some other library that is more efficient with large json files?
import pandas as pd
#There…
I am trying to load a large json file (around 4G) as a pandas dataframe, but the following method does not work for file > around 2G. Is there any alternative method?
data_dir = 'data.json'
my_data = pd.read_json(data_dir, lines = True)
I tried…
I'm trying to use ijson instead of json to be able to efficiently dump/load dictionaries to/from strings (in-memory, not from a file) [1].
Are there any examples for ijson analogous to standard dumping/loading with json? All sources I've seen that…
I came across several thread talking about ijson to load huge JSON files in python, as this is the way to not consume all memory.
My file is around 1.4 GB in size, it has several nodes (see below image), i am interested only in one node which hold…
I'm using ijson (https://pypi.python.org/pypi/ijson) to parse a large JSON file. It's several GBs, so I can't realistically store it all in memory. The issue is that somewhere in the middle of the file, the parser runs into an error (the specific…
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…
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…
I have the following data in my JSON file:
{
"first": {
"name": "James",
"age": 30
},
"second": {
"name": "Max",
"age": 30
},
"third": {
"name": "Norah",
"age": 30
},
…
I was told that ijson create a pipe between the file on the hardrive and the memory to save the memory, so it's more memory efficient than json library. However, I was also told that ijson can be faster than json with the incremental parsing, which…