python read json
import json
with open('path_to_file/person.json') as f:
data = json.load(f)
python read json
import json
with open('path_to_file/person.json') as f:
data = json.load(f)
python read json file
import json
with open('path_to_file/person.json') as f:
data = json.load(f)
print(data)
read json file python
import json
with open('path_to_file/person.json') as f:
data = json.load(f)
print(data)
flx = json.dumps(data, ensure_ascii=False, indent=4)
print(flx)
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 names
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