import json
with open('path_to_file/person.json') as f:
data = json.load(f)
print(data)
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
# For reading json file
with open ('fruit.json', 'r') as myfile:
data=myfile.read()
# Parsing json code
fruit_detail = json.loads(data)
# Output
print ("fruit name: " + str(fruit_detail['fruit']))
print ("fruit size: " + str(fruit_detail['size']))
print ("fruit color: " + str(fruit_detail['color']))
import json
with open('json_data.json') as json_file:
data = json.load(json_file)
print(data)
import json
arr = json.loads("example.json")
# Do nifty stuff with resulting array.
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()