I've been looking around the web and I cannot find a way on adding new JSON data to array.
Example: I would like to add player_two, player_three through python.
{
"players": {
"player_one": {
"name": "Bob",
"age": "0",
"email": "bob#example.com"
}
}
}
How can I achieve doing this through python?
What I've tried:
with open("/var/www/html/api/toons/details.json", 'w') as outfile:
json.dump(avatarDetails, outfile)
Here is a simple example, read the file as a dict, update the dict, then use json.dumps() to get the json data:
import json
# open your jsonfile in read mode
with open('jsonfile') as f:
# read the data as a dict use json.load()
jsondata = json.load(f)
# add a new item into the dict
jsondata['players']['player_two'] = {'email': 'kevin#example.com', 'name': 'Kevin', 'age': '0'}
# open that file in write mode
with open('jsonfile', 'w') as f:
# write the data into that file
json.dump(jsondata, f, indent=4, sort_keys=True)
Now the file looks like:
{
"players": {
"player_one": {
"age": "0",
"email": "bob#example.com",
"name": "Bob"
},
"player_two": {
"age": "0",
"email": "kevin#example.com",
"name": "Kevin"
}
}
}
Assuming that your file contains this JSON:
{
"players": {
"player_one": {
"name": "Bob",
"age": "0",
"email": "bob#example.com"
}
}
}
You can parse the data into a Python dictionary using json.load():
with open('/var/www/html/api/toons/details.json') as f:
data = json.load(f)
Add your new players:
data['players']['player_two'] = dict(name='Bobbie', age=100, email='b#blah.com')
data['players']['player_three'] = dict(name='Robert', age=22, email='robert#blah.com')
Then save it back to a file:
with open('/var/www/html/api/toons/details.json', 'w') as f:
json.dump(data, f)
Related
I am biggener with JSON
I have the following in my JSON file (file-1) :
{
"Aps": [
{
"type": "opo",
"price_min": 7,
"price_max":10,
"app_time": 0,
"arguments": {
"prices": 15,
"apps_num": "112"
},
"attributes": {
"name":"user1",
"priority":"100"
}
}
}
How write python code that generates another JSON file that contain the same content of file-1 but duplicated 100 time in each time the name of user is different user2, user3 ... user100 and also it's priority.
I have tried the following but it is not working :
for lp in range(100):
with open("sample.json", "w") as outfile:
outfile.write(json_object)
but it is not working ..
the required output is as follow :
{
"Aps": [
{
"type": "opo",
"price_min": 7,
"price_max":10,
"app_time": 0,
"arguments": {
"prices": 15,
"apps_num": "112"
},
"attributes": {
"name":"user1",
"priority":"100"
}
},
{
"type": "opo",
"price_min": 7,
"price_max":10,
"app_time": 0,
"arguments": {
"prices": 15,
"apps_num": "112"
},
"attributes": {
"name":"user2",
"priority":"90"
}
},
{
"type": "opo",
"price_min": 7,
"price_max":10,
"app_time": 0,
"arguments": {
"prices": 15,
"apps_num": "112"
},
"attributes": {
"name":"user2",
"priority":"80"
}
},
..............
}
I made a little code here using json and copy module
json for reading and writing json files
copy because I had some trouble with reference variables see documentation for copy; if I changed 'temp' dict then it would affect all occurrences in 'file' dict
import json
import copy
repeats = 100
file = json.loads(open('file.json', 'r').read())
temp1 = json.loads(open('file.json', 'r').read())['Aps'][0]
for repeat in range(repeats):
temp = copy.deepcopy(temp1)
temp['attributes']['name'] = f"user{repeat + 2}"
temp['attributes']['priority'] = f"{repeat*10+100 - repeat*20}"
file['Aps'].append(temp)
temp1 = copy.deepcopy(temp)
json.dump(file, open('file1.json', 'w'), indent=4)
You should first convert your json file to a python object (dict):
import json
file = open('sample.json')
data = json.load(file)
file.close()
Now you can do stuff with your Aps list, like appending the first object 100 times to your list.
for dups in range(100):
data['Aps'].append(data['Aps'][0])
Then you save your dict to a json file again:
with open("sample.json", "w") as outputfile:
json.dump(data, outputfile)
So far, I have this code (with help from a tutorial):
import csv, json
csvFilePath = "convertcsv.csv"
jsonFilePath = "newResult.json"
# Read the CSV and add the data to a dictionary...
data = {}
with open(csvFilePath) as csvFile:
csvReader = csv.DictReader(csvFile)
for csvRow in csvReader:
data = csvRow
# Write data to a JSON file...
with open(jsonFilePath, "w") as jsonFile:
jsonFile.write(json.dumps(data, indent=4))
My desired output is this:
{
"userID": "string",
"username": "string",
"age": "string",
"location": {
"streetName": "string",
"streetNo": "string",
"city": "string"
}
}
I don't know how to represent the "location".
My actual result is this:
{
"userID": "string",
"username": "string",
"age": "string",
"location/streetName": "string",
"location/streetNo": "string",
"location/city": "string",
}
How can I seperate streetName, streetNo and city and put them into "location"?
Below is a simple script should do what you want. The result will be a json object with the "userID" as keys. Note that, to test deeper nesting, I used a csv file with slightly different headers - but it will work just as well with your original example.
import csv, json
infile = 'convertcsv.csv'
outfile = 'newResult.json'
data = {}
def process(header, value, record):
key, other = header.partition('/')[::2]
if other:
process(other, value, record.setdefault(key, {}))
else:
record[key] = value
with open(infile) as stream:
reader = csv.DictReader(stream)
for row in reader:
data[row['userID']] = record = {}
for header, value in row.items():
process(header, value, record)
with open(outfile, "w") as stream:
json.dump(data, stream, indent=4)
INPUT:
userID,username,age,location/street/name,location/street/number,location/city
0,AAA,20,This Street,5,This City
1,BBB,42,That Street,5,That City
2,CCC,34,Other Street,5,Other City
OUTPUT:
{
"0": {
"userID": "0",
"username": "AAA",
"age": "20",
"location": {
"street": {
"name": "This Street",
"number": "5"
},
"city": "This City"
}
},
"1": {
"userID": "1",
"username": "BBB",
"age": "42",
"location": {
"street": {
"name": "That Street",
"number": "5"
},
"city": "That City"
}
},
"2": {
"userID": "2",
"username": "CCC",
"age": "34",
"location": {
"street": {
"name": "Other Street",
"number": "5"
},
"city": "Other City"
}
}
}
I'd add some custom logic to achieve this, note that this is for the first level only, if you want more, you should create a recoursive function:
# Write data to a JSON file...
with open(jsonFilePath, "w") as jsonFile:
for i, v in data.items():
if '/' in i:
parts = i.split('/', 1)
data[parts[0]] = {parts[1]: v}
data.pop(i)
jsonFile.write(json.dumps(data, indent=4))
You can use something like this:
# https://www.geeksforgeeks.org/convert-csv-to-json-using-python/
import csv
import json
# Function to convert a CSV to JSON
# Takes the file paths as arguments
def make_json(csvFilePath, jsonFilePath):
# create a dictionary
data = {}
# Open a csv reader called DictReader
with open(csvFilePath, encoding='utf-8') as csvf:
csvReader = csv.DictReader(csvf)
# Convert each row into a dictionary
# and add it to data
for rows in csvReader:
# Assuming a column named 'No' to
# be the primary key
key = rows['No']
data[key] = rows
# Open a json writer, and use the json.dumps()
# function to dump data
with open(jsonFilePath, 'w', encoding='utf-8') as jsonf:
jsonf.write(json.dumps(data, indent=4))
# Driver Code
# Decide the two file paths according to your
# computer system
csvFilePath = r'Names.csv'
jsonFilePath = r'Names.json'
# Call the make_json function
make_json(csvFilePath, jsonFilePath)
For more information check out https://www.geeksforgeeks.org/convert-csv-to-json-using-python/
I am parsing json to csv. But am getting error as below:
for i in data:
TypeError: '_csv.writer' object is not iterable
Code:
import json
import csv
with open("Data.json", 'r') as file:
data = json.load(file)
CSV_File = 'Data.csv'
with open(CSV_File, 'w') as file:
data = csv.writer(file)
data.writerow([])
for i in data:
data.writerow([])
Data
{
"id": "kljhfksdhkhd",
"name": "BOB",
"birthday": "08/03/1993",
"languages": [
{
"id": "106059522759137",
"name": "English language"
},
{
"id": "107617475934611",
"name": "Telugu language"
},
{
"id": "112969428713061",
"name": "Hindi"
},
{
"id": "343306413260",
"name": "Tamil language"
},
{
"id": "100904156616786",
"name": "Kannada"
}
],
"games": {
"data": [
{
"name": "Modern Combat",
"id": "12134323",
"created_time": "2019-02-21T18:39:41+0000"
},
{
"name": "Cards",
"id": "343232",
"created_time": "2011-06-01T11:13:31+0000"
},
{
"name": "Shuttle Badminton",
"id": "43214321",
"created_time": "2011-06-01T11:13:31+0000"
},
{
"name": "Carrom",
"id": "49y497",
"created_time": "2011-06-01T11:13:31+0000"
},
{
"name": "Chess",
"id": "0984080830",
"created_time": "2011-06-01T11:13:31+0000"
}
],
"paging": {
"cursors": {
"before": "dkkskd",
"after": "dlldlkd"
}
}
}
}
First off, the name data has been assigned to two different objects. Python permits this each assignment overwrites the previous. In the code, data is initially the data from the json file, then a csv.writer instance. A sensible improvement, therefore, is to name the writer writer, and change the code accordingly:
import json
import csv
with open("Data.json", 'r') as file:
data = json.load(file)
CSV_File = 'Data.csv'
with open(CSV_File, 'w') as file:
writer = csv.writer(file)
writer.writerow([])
for i in data:
writer.writerow([])
Now let's deal with how we are writing to the file. writer.writerow expects a list, but writing an empty list: writer.writerow([]) isn't very useful. Probably you want to write the json data to the csv file, so leet's get rid of the empty lists, and indent the writing loop so that it's inside the with block (otherwise the file will be closed).
import json
import csv
with open("Data.json", 'r') as file:
data = json.load(file)
CSV_File = 'Data.csv'
with open(CSV_File, 'w') as file:
writer = csv.writer(file)
for row in data:
writer.writerow(row)
This will work if the json data is a list of lists, that is it looks like this:
[[...], [...], [...], ...]
because each element of the outer list is a list, so iterating over it (for row in data:) yields a list, which writer.writerow can handle. However it's not uncommon for json data to be in the form of a dictionary:
{"k1": [....], "k2": [...], "k3": [...], ...}
In this case, you might want to iterate over the dictionary's values, if they are list:
for row in data.values():
writer.writerow(row)
Finally, the json may be an irregular mix of lists and dictionaries, and may be arbitrarily nested. It's up to you to determine how to map nested json data to the flat csv format.
I have a json file saved in local server, such as：
{
"user": "user1",
"id": "21779"
}
and I want to write another dict into this json file, I need new content like this:
{
{
"user": "user1",
"id": "21779"
},
{
"user": "user2",
"id": "21780"
}
}
Or:
[
{
"user": "user1",
"id": "21779"
},
{
"user": "user2",
"id": "21780"
}
]
I try to use json.dump() to add the new element, but is displayed as:
{
"user": "user1",
"id": "21779"
}
{
"user": "user2",
"id": "21780"
}
It is not a valid json file.
How can I do use json.dump, json.load, or other methods?
Thanks for help me!
You have to read your JSON file and then convert it to list instead of dict. Then you just need to append to that list and overwrite your JSON file.
import json
data = json.load(open('data.json'))
# convert data to list if not
if type(data) is dict:
data = [data]
# append new item to data lit
data.append({
"user": "user2",
"id": "21780"
})
# write list to file
with open('data.json', 'w') as outfile:
json.dump(data, outfile)
You can do with the list not with the dict , try the below one solution if its help
import json
def appendList():
with open("test.json", mode='r', encoding='utf-8') as f:
feeds = json.load(f)
print(feeds)
with open("test.json", mode='w', encoding='utf-8') as feedsjson:
entry = { "user": "user3","id": "21574"}
feeds.append(entry)
print(json.dump(feeds, feedsjson))
I want to store data in a .json file as using python language-
{object:
{
name: "abcd",
id: "fwfwfwf"
}
{
name: "efgh",
id: "wderds"
}
..
.. and so on
}
{container:
{
name: "pros",
id: "zxcdsef"
}
{
name: "mnop",
id: "waqsred"
}
..
.. and so on
}
Again now I want to read particular member of object/container in the file using f.read() or similar methods.\
How can I parse this file using python and JSON ??
#
Sir One more thing I want to ask. Suppose my data.json file is like -
{
"object": [
{
"name": "abcd",
"id": "fwfwfwf"
},
{
"name": "efgh",
"id": "wderds"
}
]
}
{
"container": [
{
"name": "pqrs",
"id": "fwfwfwf"
},
{
"name": "mnop",
"id": "wderds"
}
]
}
Now I want to add one more container in this file which will go under Containers.
Can you please tell me how will I write new container in the file using f.write()
first create valid json. You can validate your json using any link like
{
"object": [
{
"name": "abcd",
"id": "fwfwfwf"
},
{
"name": "efgh",
"id": "wderds"
}
]
}
Now python script
import json
with open('data.json') as data_file:
data = json.load(data_file)
And you can access data like:
data["objects"][0]["id"] # will return 'fwfwfwf'
data["objects"][1]["name"] #will return 'efgh'
use http://jsonlint.com/ to validate your json. In json files identifiers have double quotes. numbers int/float need not have.
In general a json file is a python dictionary in text format. You can use the json module to parse json files.
import json
myfile = open('yourfilename', 'r')
myjsondata_as_dict = json.load(myfile)
after this myjsondata_as_dict will have your json data as a dictionary, provided there were no errors in json format.
This is the syntax for dumping data into JSON prettily.
with open('abc.json', 'wb') as outfile:
json.dump(obj, outfile, indent = 4)
For loading from JSON file, use
with open('abc.json') as infile:
data = json.load(infile)
More info http://freepythontips.wordpress.com/2013/08/08/storing-and-loading-data-with-json/