import json
with open('path_to_file/person.json') as f:
data = json.load(f)
print(data)
import json
with open('data.txt') as json_file:
data = json.load(json_file)
import json
with open('file_to_load.json', 'r') as file:
data = 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'>
import json
#reading
with open(file_name, 'r') as f:
data = json.load(f)
#writing
with open(file_name, 'w') as f:
json.dump(data, f) #use indent to make easyer to read eg. indent = 4
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)
import json
with open('json_data.json') as json_file:
data = json.load(json_file)
print(data)
import json
with open('json_data.json') as json_file:
data = json.load(json_file)
print(data)
import json
with open('json_data.json') as json_file:
data = json.load(json_file)
print(data)
import json
with open('json_data.json') as json_file:
data = json.load(json_file)
print(data)
import json
varRaw ='''
{
"from":{
"max" : "xx:xx:xx:xx:xx:xx",
"ip" : "192.168.0.20"
},
"data":{
"id":"value",
"id": "value",
"id": "value"
}
}
'''
#string to json
varJson = json.loads(varRaw)
#get values from json
print(varJson['from'])
#output wil be: {'max': 'xx:xx:xx:xx:xx:xx', 'ip': '192.168.0.20'}
print(varJson['from']['ip'])
#output wil be: 192.168.0.20
import json
import pandas as pd
data_file = open("yelp_academic_dataset_checkin.json")
data = []
for line in data_file:
data.append(json.loads(line))
checkin_df = pd.DataFrame(data)
data_file.close()