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I have this JSON array with multiple roots:
[
{
"issuer_ca_id": 16418,
"issuer_name": "C=US, O=Let's Encrypt, CN=Let's Encrypt Authority X3",
"name_value": "sub.test.com",
"min_cert_id": 325717795,
"min_entry_timestamp": "2018-02-08T16:47:39.089",
"not_before": "2018-02-08T15:47:39"
},
{
"issuer_ca_id":9324,
"issuer_name":"C=US, O=Amazon, OU=Server CA 1B, CN=Amazon",
"name_value":"marketplace.test.com",
"min_cert_id":921763659,
"min_entry_timestamp":"2018-11-05T19:36:18.593",
"not_before":"2018-10-31T00:00:00",
"not_after":"2019-11-30T12:00:00"
}
]
I want to iterate over it and print issuer_name values in Python. Any solution, please?
Use the json package and load the json. Assuming it is a string in memory (as opposed to a .json file):
jsonstring = """
[
{
"issuer_ca_id": 16418,
"issuer_name": "C=US, O=Let's Encrypt, CN=Let's Encrypt Authority X3",
"name_value": "sub.test.com",
"min_cert_id": 325717795,
"min_entry_timestamp": "2018-02-08T16:47:39.089",
"not_before": "2018-02-08T15:47:39"
},
{
"issuer_ca_id":9324,
"issuer_name":"C=US, O=Amazon, OU=Server CA 1B, CN=Amazon",
"name_value":"marketplace.test.com",
"min_cert_id":921763659,
"min_entry_timestamp":"2018-11-05T19:36:18.593",
"not_before":"2018-10-31T00:00:00",
"not_after":"2019-11-30T12:00:00"
}
]"""
import json
j = json.loads(jsonstring)
[item["issuer_name"] for item in j]
Gives:
["C=US, O=Let's Encrypt, CN=Let's Encrypt Authority X3",
'C=US, O=Amazon, OU=Server CA 1B, CN=Amazon']
Now, these don't look like names to me, but that's what is assigned to the issuer_name field, so I think that's something you have to take up with the owner of the data.
If it's a file, you do the loading in this basic pattern:
# something like this
with open("jsonfile.json", "rb") as fp:
j = json.load(fp)
See the docs here: https://docs.python.org/3.7/library/json.html
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import json
f = open('C:\Users\Hello\Desktop\usecase2.json',encoding = 'utf-8')
data = json.load(f)
print(data)
-Raw Data sheet contains the raw data to be parsed and arrange as per "Desired Output" sheet
-The number of iteration data for each Pur Lot is not same, however it is required to capture the entire raw da -you have to create a JSON file to capture entire data of Raw Data with the key as Pur Lot.
data
desired output
If you're looking to convert JSON (essentially text) to a python dict , then I would suggest you use this:
**
import json
# some JSON:
x = '{ "name":"John", "age":30, "city":"New York"}'
# parse x:
y = json.loads(x)
# the result is a Python dictionary:
print(y["age"])
**
then you can call y['keys'] = values to use data
here , y['name'] = "John"
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I am working on a project which outputs a JSON file with certain characteristics, example below. How can I extract the values that are assigned to the "top", "left", "width" and "height" and assign these values to separate variables within Python3.7.
Detection result:
detection_02
JSON:
[
{
"faceId": "4c1cb007-ed71-42d4-b2af-7abc3e82210e",
"faceRectangle": {
"top": 76,
"left": 446,
"width": 226,
"height": 284
},
"faceAttributes": null,
"faceLandmarks": null
}
]
import json
json_data = json.loads(data_to_load)
top = json_data[0]['faceRectangle']['top']
left = json_data[0]['faceRectangle']['left']
width = json_data[0]['faceRectangle']['width']
height = json_data[0]['faceRectangle']['height']
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[{
data: "31/05/2010 19:39:00",
empresa: {
codigo: 1
},
descricao: "teste",
tipoEvento: "RHYTHM VARIATION"
},
{
data: "31/05/2010 18:15:00",
empresa: {
codigo: 1
},
descricao: "teste ",
tipoEvento: "RHYTHM VARIATION"
}]
This is an overly simple question, and I would encourage you to read the documentation in the future, but nonetheless:
import json
your_str_data = r'''
[{"data":"31/05/2010 19:39:00","empresa":{"codigo":1},"descricao":"teste","tipoEvento":"RHYTHM VARIATION"},{"data":"31/05/2010 18:15:00","empresa":{"codigo":1},"descricao":"teste ","tipoEvento":"RHYTHM VARIATION"}]
'''
jdata = json.loads(your_str_data)
import pprint
pprint.pprint(jdata)
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I have a file with this pattern :
[account.invoice.set_num]
job_size = 0
trans_size = 100
[commission.invoice_second.create_full]
j_size = 0
[commission.invoice_principal.finalize]
j_size = 12
in_directory = /to/the/directory
I want to transform this pattern to a text like :
ACCOUNT_INVOICE_SET_NUM_JOB_SIZE = 0
ACCOUNT_INVOICE_SET_NUM_TRANS_SIZE = 100
COMMISSION_INVOICE_SECOND_CREATE_FULL_J_SIZE=0
COMMISSION_INVOICE_PRINCIPALE_FINALIZE_J_SIZE=12
COMMISSION_INVOICE_PRINCIPALE_FINALIZE_IN_DIRECTORY=/to/the/directory
I try to do that in Bash unix or in Python.
I don't konw what is the best/easiest way to do that.
It's quite feasible with config.ConfigParser features:
from configparser import ConfigParser
config = ConfigParser()
config.read('yourfile')
config_lines = ''
for section in config.sections():
s_key = section.replace('.', '_') # transformed section key
for k, v in config.items(section):
config_lines += f'{s_key}_{k}'.upper() + f'={v}\n'
print(config_lines)
The output:
ACCOUNT_INVOICE_SET_NUM_JOB_SIZE=0
ACCOUNT_INVOICE_SET_NUM_TRANS_SIZE=100
COMMISSION_INVOICE_SECOND_CREATE_FULL_J_SIZE=0
COMMISSION_INVOICE_PRINCIPAL_FINALIZE_J_SIZE=12
COMMISSION_INVOICE_PRINCIPAL_FINALIZE_IN_DIRECTORY=/to/the/directory
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how parse multi-level json data, in Mongodb with Python 3.5?
PLAYER_DEFAULT = {
"_id": Inc(PlayersDB),
"mail": "test#gmail.com",
"password": "123456",
"token": uuid4().hex,
"username": "applet",
"user_info":
{
"show_name" : "Hero",
"rate_us": 20000,
"rating": 300,
"gcg": "",
"ration":0,
"items":
[
{"id":1, "item_type":"socket", "name":"aEveA", "data":{"level":1, "stat":"AVA"}},
{"id":2, "item_type":"socket", "name":"aEveA", "data":{"level":4, "stat":"AVA"}},
{"id":3, "item_type":"socket", "name":"Hestos", "data":{"level":9, "stat":"Hest"}},
{"id":4, "item_type":"user", "name":"AAACZX", "data":{"expr":1000}},
{"id":5, "item_type":"user", "name":"AAAAZZZCX", "data": {"expr":1000}}
]
}
}
how get data level and stat in items?
["_id"]->["show_name"]
["_id"]->["user_info"]->["items"]
["_id"]->["user_info"]->["items"] -> get value by "stat" in items[0]
me need get items id, by items "stat" value
i use loop
how get x count?
for x in PlayersDB.find({"_id":1}):
print(x["user_info"]["items"][x.count()])
And... how to update "item_type", by "id", in "items"?
And how to delete 1 docuement by "id":1 in "items"?
For that document, try:
doc['user_info']['items'][0]['data']['stat']
If you have a doc for a player, and want to count how many items that player has, you will use some built-in Python function, which I will call XXX, and which you should research to see what that function is, and use it on the items attribute of the doc:
number_of_items = XXX(doc['user_info']['items'])
And in future, please use the same names and structure in your question as in your posted examples.