'Reading JSON from a file?
I am getting a bit of headache just because a simple looking, easy statement is throwing some errors in my face.
I have a json file called strings.json like this:
"strings": [{"-name": "city", "#text": "City"}, {"-name": "phone", "#text": "Phone"}, ...,
{"-name": "address", "#text": "Address"}]
I want to read the json file, just that for now. I have these statements which I found out, but it's not working:
import json
from pprint import pprint
with open('strings.json') as json_data:
d = json.loads(json_data)
json_data.close()
pprint(d)
The error displayed on the console was this:
Traceback (most recent call last):
File "/home/.../android/values/manipulate_json.py", line 5, in <module>
d = json.loads(json_data)
File "/usr/lib/python2.7/json/__init__.py", line 326, in loads
return _default_decoder.decode(s)
File "/usr/lib/python2.7/json/decoder.py", line 366, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
TypeError: expected string or buffer
[Finished in 0.1s with exit code 1]
If I use json.load instead of json.loads, I get this error:
Traceback (most recent call last):
File "/home/.../android/values/manipulate_json.py", line 5, in <module>
d = json.load(json_data)
File "/usr/lib/python2.7/json/__init__.py", line 278, in load
**kw)
File "/usr/lib/python2.7/json/__init__.py", line 326, in loads
return _default_decoder.decode(s)
File "/usr/lib/python2.7/json/decoder.py", line 369, in decode
raise ValueError(errmsg("Extra data", s, end, len(s)))
ValueError: Extra data: line 829 column 1 - line 829 column 2 (char 18476 - 18477)
[Finished in 0.1s with exit code 1]
Solution 1:[1]
Here is a copy of code which works fine for me
import json
with open("test.json") as json_file:
json_data = json.load(json_file)
print(json_data)
with the data
{
"a": [1,3,"asdf",true],
"b": {
"Hello": "world"
}
}
you may want to wrap your json.load line with a try catch because invalid JSON will cause a stacktrace error message.
Solution 2:[2]
The problem is using with statement:
with open('strings.json') as json_data:
d = json.load(json_data)
pprint(d)
The file is going to be implicitly closed already. There is no need to call json_data.close() again.
Solution 3:[3]
In python 3, we can use below method.
Read from file and convert to JSON
import json
from pprint import pprint
# Considering "json_list.json" is a json file
with open('json_list.json') as fd:
json_data = json.load(fd)
pprint(json_data)
with statement automatically close the opened file descriptor.
String to JSON
import json
from pprint import pprint
json_data = json.loads('{"name" : "myName", "age":24}')
pprint(json_data)
Solution 4:[4]
To add on this, today you are able to use pandas to import json:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_json.html
You may want to do a careful use of the orient parameter.
Solution 5:[5]
You can use pandas library to read the JSON file.
import pandas as pd
df = pd.read_json('strings.json',lines=True)
print(df)
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | user1876508 |
| Solution 2 | Corey Goldberg |
| Solution 3 | |
| Solution 4 | Ando Jurai |
| Solution 5 | drorhun |
