beautify json python
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"4": 5,
"6": 7
}beautify json python
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"4": 5,
"6": 7
}python format json file
python3 -m json.tool unformatted.json > formatted.jsonpython import json data
# Basic syntax:
import ast
# Create function to import JSON-formatted data:
def import_json(filename):
for line in open(filename):
yield ast.literal_eval(line)
# Where ast.literal_eval allows you to safely evaluate the json data.
# See the following link for more on this:
# https://stackoverflow.com/questions/15197673/using-pythons-eval-vs-ast-literal-eval
# Import json data
data = list(import_json("/path/to/filename.json"))
# (Optional) convert json data to pandas dataframe:
dataframe = pd.DataFrame.from_dict(data)
# Where keys become column namesjson.loads
>>> import json
>>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
['foo', {'bar': ['baz', None, 1.0, 2]}]
>>> json.loads('"\\"foo\\bar"')
'"foo\x08ar'
>>> from io import StringIO
>>> io = StringIO('["streaming API"]')
>>> json.load(io)
['streaming API']python json format
{
"article": [
{
"id":"01",
"language": "JSON",
"edition": "first",
"author": "Derrick Mwiti"
},
{
"id":"02",
"language": "Python",
"edition": "second",
"author": "Derrick Mwiti"
}
],
"blog":[
{
"name": "Datacamp",
"URL":"datacamp.com"
}
]
}Copyright © 2021 Codeinu
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