Answers for "json parsing python"

66

python read json file

import json

with open('path_to_file/person.json') as f:
  data = json.load(f)

print(data)
Posted by: Guest on April-08-2020
13

python json string to object

import json

x =  '{ "name":"John", "age":30, "city":"New York"}'
y = json.loads(x)

print(y["age"])
Posted by: Guest on May-14-2020
3

python to json

# a Python object (dict):
x = {
  "name": "John",
  "age": 30,
  "city": "New York"
}

# convert into JSON:
y = json.dumps(x)
Posted by: Guest on May-02-2020
0

json decode py

>>> 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']
Posted by: Guest on May-17-2020
0

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 names
Posted by: Guest on November-11-2020

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