python read json file
import json
with open('path_to_file/person.json') as f:
data = json.load(f)
print(data)
python read json file
import json
with open('path_to_file/person.json') as f:
data = json.load(f)
print(data)
open json file python
import json
with open('data.txt') as json_file:
data = json.load(json_file)
json load from file python 3
import json
with open('file_to_load.json', 'r') as file:
data = json.load(file)
python json load file
import json
# with json load (file)
info = open('data.json',)
res = json.load(info)
print(res)
print("Datatype after deserialization : " + str(type(res)))
#>>> {'name': 'Dave', 'City': 'NY'}
#>>> Datatype of the serialized JSON data : <class 'dict'>
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
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