python json string to object
import json
x = '{ "name":"John", "age":30, "city":"New York"}'
y = json.loads(x)
print(y["age"])python json string to object
import json
x = '{ "name":"John", "age":30, "city":"New York"}'
y = json.loads(x)
print(y["age"])python json stringify
import json
json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo", {"bar": ["baz", null, 1.0, 2]}]'
print(json.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True))
{"a": 0, "b": 0, "c": 0}Json in python
import json
json_file = json.load(open("your file.json", "r", encoding="utf-8"))
# For see if you don't have error:
print(json_file)python to json
# a Python object (dict):
x = {
"name": "John",
"age": 30,
"city": "New York"
}
# convert into JSON:
y = json.dumps(x)python 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']Copyright © 2021 Codeinu
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