You're trying to read the string "data.txt". What you want is to open and read the file.
import json
with open('data.txt', 'r') as data_file:
json_data = data_file.read()
data = json.loads(json_data)
You're trying to read the string "data.txt". What you want is to open and read the file.
import json
with open('data.txt', 'r') as data_file:
json_data = data_file.read()
data = json.loads(json_data)
Try:
data = json.load(open("data.txt", 'r'))
json.loads interprets a string as JSON data, while json.load takes a file object and reads it, then interprets it as JSON.
Take a look at the json module. More specifically the 'Decoding JSON:' section.
import json
import requests
response = requests.get() # api call
users = json.loads(response.text)
for user in users:
print(user['id'])
You can try like below to get the values from json response:
import json
content=[{
"username": "admin",
"first_name": "",
"last_name": "",
"roles": "system_admin system_user",
"locale": "en",
"delete_at": 0,
"update_at": 1511335509393,
"create_at": 1511335500662,
"auth_service": "",
"email": "adminuser@cognizant.com",
"auth_data": "",
"position": "",
"nickname": "",
"id": "pbjds5wmsp8cxr993nmc6ozodh"
}, {
"username": "chatops",
"first_name": "",
"last_name": "",
"roles": "system_user",
"locale": "en",
"delete_at": 0,
"update_at": 1511335743479,
"create_at": 1511335743393,
"auth_service": "",
"email": "chatops@cognizant.com",
"auth_data": "",
"position": "",
"nickname": "",
"id": "akxdddp5p7fjirxq7whhntq1nr"
}]
for item in content:
print("Name: {}\nEmail: {}\nID: {}\n".format(item['username'],item['email'],item['id']))
Output:
Name: admin
Email: adminuser@cognizant.com
ID: pbjds5wmsp8cxr993nmc6ozodh
Name: chatops
Email: chatops@cognizant.com
ID: akxdddp5p7fjirxq7whhntq1nr
In your for loop statement, Each item in json_array is a dictionary and the dictionary does not have a key store_details. So I modified the program a little bit
import json
input_file = open ('stores-small.json')
json_array = json.load(input_file)
store_list = []
for item in json_array:
store_details = {"name":None, "city":None}
store_details['name'] = item['name']
store_details['city'] = item['city']
store_list.append(store_details)
print(store_list)
If you arrived at this question simply looking for a way to read a json file into memory, then use the built-in json module.
with open(file_path, 'r') as f:
data = json.load(f)
If you have a json string in memory that needs to be parsed, use json.loads() instead:
data = json.loads(my_json_string)
Either way, now data is converted into a Python data structure (list/dictionary) that may be (deeply) nested and you'll need Python methods to manipulate it.
If you arrived here looking for ways to get values under several keys as in the OP, then the question is about looping over a Python data structure. For a not-so-deeply-nested data structure, the most readable (and possibly the fastest) way is a list / dict comprehension. For example, for the requirement in the OP, a list comprehension does the job.
store_list = [{'name': item['name'], 'city': item['city']} for item in json_array]
# [{'name': 'Mall of America', 'city': 'Bloomington'}, {'name': 'Tempe Marketplace', 'city': 'Tempe'}]
Other types of common data manipulation:
For a nested list where each sub-list is a list of items in the
json_array.store_list = [[item['name'], item['city']] for item in json_array] # [['Mall of America', 'Bloomington'], ['Tempe Marketplace', 'Tempe']]For a dictionary of lists where each key-value pair is a category-values in the
json_array.store_data = {'name': [], 'city': []} for item in json_array: store_data['name'].append(item['name']) store_data['city'].append(item['city']) # {'name': ['Mall of America', 'Tempe Marketplace'], 'city': ['Bloomington', 'Tempe']}For a "transposed" nested list where each sub-list is a "category" in
json_array.store_list = list(store_data.values()) # [['Mall of America', 'Tempe Marketplace'], ['Bloomington', 'Tempe']]
You are adding the exact same dictionary to the list. You should create a new dictionary for each item in the list:
json.dumps([dict(mpn=pn) for pn in lst])
As explained by others (in answers) you should create a new dictionary for each item on the list elsewhere you reference always the same dictionary
import json
part_nums = ['ECA-1EHG102','CL05B103KB5NNNC','CC0402KRX5R8BB104']
def json_list(list):
lst = []
for pn in list:
d = {}
d['mpn']=pn
lst.append(d)
return json.dumps(lst)
print json_list(part_nums)
[{"mpn": "ECA-1EHG102"}, {"mpn": "CL05B103KB5NNNC"}, {"mpn": "CC0402KRX5R8BB104"}]
You need to maintain two lists for scores and titles and append all the data to those lists, instead of printing, and then zip those lists along with list comprehension to get the desired output as :
import json
scores, titles = [], []
for line in games_html.findAll('div', class_="product_score"):
scores.append(line.getText(strip=True))
for line in games_html.findAll('a'):
titles.append(line.getText(strip=True))
score_titles = [{"Title": t, "Score": s} for t, s in zip(titles, scores)]
print score_titles
# Printing in JSON format
print json.dumps(score_titles)
As ZdaR's post illustrates, to create a json, you need to build the corresponding Python data structure (lists for json arrays, dictionaries for json objects) and serialize it at the end. So the question is almost the same as how to create a list in a loop, because after creating the list, what remains is serialization which is as simple as json.loads(data).
The task in the OP can be done in two loops:
data = [{'Title': line.getText(strip=True)} for line in games_html.findAll('a')]
for i, line in enumerate(games_html.findAll('div', class_="product_score")):
data[i]['Score'] = line.getText(strip=True)
# serialize to json array
j = json.dumps(data)
# or write to a file
with open('data.json', 'w') as f:
json.dump(data, f)