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"])how to read a json resposnse from a link in python
import urllib, json
url = "put url here"
response = urllib.request.urlopen(url)
data = json.loads(response.read())
print (data)fetch a json from url python
import requests
r = requests.get('url')
print r.json()python to json
# a Python object (dict):
x = {
"name": "John",
"age": 30,
"city": "New York"
}
# convert into JSON:
y = json.dumps(x)get json data python
import json
# Load json data
with open("example.json", "r") as file:
json.load(file)
# Save dict to json
with open("example2.json", "w") as file:
data = {"numbers": [1,2,3]}
json.dump(data, file, indent=2)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 namesCopyright © 2021 Codeinu
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