Python dict to json without backslash

I'm not sure what I am doing wrong. I have a dictionary that I want to convert to JSON. My problem is with the escape \

How do I put a dictionary into JSON without the escape \

Here is my code:

def printJSON[dump]:
    print[json.dumps[dump, indent=4, sort_keys=True]]

data = {'number':7, 'second_number':44}
json_data = json.dumps[data]
printJSON[json_data]

The output is: "{\"second_number\": 44, \"number\": 7}"

I want the output to look like this: "{"second_number": 44, "number": 7}"

asked Nov 29, 2016 at 19:34

4

The reason is because you are dumping your JSON data twice. Once outside the function and another inside it. For reference:

>>> import json    
>>> data = {'number':7, 'second_number':44}

# JSON dumped once, without `\`
>>> json.dumps[data]
'{"second_number": 44, "number": 7}'

# JSON dumped twice, with `\`
>>> json.dumps[json.dumps[data]]
'"{\\"second_number\\": 44, \\"number\\": 7}"'

If you print the data dumped twice, you will see what you are getting currently, i.e:

>>> print json.dumps[json.dumps[data]]
"{\"second_number\": 44, \"number\": 7}"

answered Nov 29, 2016 at 19:37

Moinuddin QuadriMoinuddin Quadri

44.6k12 gold badges92 silver badges118 bronze badges

1

I had a slightly different problem that resulted in the same issue. My code had this:

requests.post['//example.com/data', data=clinicListBody].text

When it should have had this

requests.post['//example.com/data', data=clinicListBody].json[]

.text was returning a string with strings inside it, which is why I was seeing escaped json in the saved file.

answered Jun 13 at 3:51

json.dump[s] & json.load[s]





bogotobogo.com site search:

json.load[s] & json.dump[s]

There are two ways of reading in [load/loads] the following json file, in.json:

{"alpha": 1, "beta": 2}    

  1. string:
    import json
    
    io = open["in.json","r"]
    string = io.read[]
    # json.loads[str]
    dictionary = json.loads[string]
    
    # or one-liner
    # dictionary = json.loads[open["in.json","r"].read[]]
    
    print[dictionary]
    

  2. dictionary:
    import json
    # json.load[_io]
    io = open["in.json","r"]
    dictionary = json.load[io]
    
    # or one-liner
    # dictionary = json.load[open["in.json","r"]]
    
    print[dictionary]
    

Both will print out:

{'alpha': 1, 'beta': 2}

Note that while the json.loads[] requires string, load[s,...], the json.load[] requires file descriptor, load[fp...].


Similarly, we can write a [dump/dumps] json file:

  1. string:
    import json
    d = {'alpha': 1, 'beta': 2}
    s = json.dumps[d]
    open["out.json","w"].write[s]
    

  2. dictionary:
    import json
    d = {'alpha': 1, 'beta': 2}
    json.dump[d, open["out.json","w"]]
    

Note that the json.dump[] requires file descriptor as well as an obj, dump[obj, fp...].




In the following example, we'll convert Python dictionary to JSON and write it to a text file. Then, we'll read in back from the file and play with it.

Initially we'll construct Python dictionary like this:

# Four Fundamental Forces with JSON
d = {}

d ["gravity"] = {
"mediator":"gravitons",
"relative strength" : "1",
"range" : "infinity"
}
d ["weak"] = {
"mediator":"W/Z bosons",
"relative strength" : "10^25",
"range" : "10^-18"
}
d ["electromagnetic"] = {
"mediator":"photons",
"relative strength" : "10^36",
"range" : "infinity"
}
d ["strong"] = {
"mediator":"gluons",
"relative strength" : "10^38",
"range" : "10^-15"
}

print[d]

The output looks like this:

{'electromagnetic': {'relative strength': '10^36', 'range': 'infinity', 'mediator': 'photons'}, 'strong': {'relative strength': '10^38', 'range': '10^-15', 'mediator': 'gluons'}, 'weak': {'relative strength': '10^25', 'range': '10^-18', 'mediator': 'W/Z bosons'}, 'gravity': {'relative strength': '1', 'range': 'infinity', 'mediator': 'gravitons'}}

Now, we want to convert the dictionary to a string using json.dumps:

import json
data = json.dumps[d]
print[type[data]]
print[data]

Output:

{"electromagnetic": {"relative strength": "10^36", "range": "infinity", "mediator": "photons"}, "strong": {"relative strength": "10^38", "range": "10^-15", "mediator": "gluons"}, "weak": {"relative strength": "10^25", "range": "10^-18", "mediator": "W/Z bosons"}, "gravity": {"relative strength": "1", "range": "infinity", "mediator": "gravitons"}}

Note that the "json.dumps[]" returns a string as indicated by the "s" at the end of "dumps". This process is called encoding.

Let's write it to a file:

import json
data = json.dumps[d]
with open["4forces.json","w"] as f:
  f.write[data]

Now that the file is written. Let's reads it back and decoding the JSON-encoded string back into a Python dictionary data structure:

# reads it back
with open["4forces.json","r"] as f:
  data = f.read[]

# decoding the JSON to dictionay
d = json.loads[data]

Let's play with the dictionary a little bit.

What's the relative strength of electromagnetic compared to gravity?

print[d["electromagnetic"]["relative strength"]]
10^36

Who's the mediator for "strong" force?

print[d["strong"]["mediator"]]
gluons

Ok, here is the full code:

# Four Fundamental Forces with JSON
d = {}

d ["gravity"] = {
"mediator":"gravitons",
"relative strength" : "1",
"range" : "infinity"
}
d ["weak"] = {
"mediator":"W/Z bosons",
"relative strength" : "10^25",
"range" : "10^-18"
}
d ["electromagnetic"] = {
"mediator":"photons",
"relative strength" : "10^36",
"range" : "infinity"
}
d ["strong"] = {
"mediator":"gluons",
"relative strength" : "10^38",
"range" : "10^-15"
}

import json

# encoding to JSON
data = json.dumps[d]

# write to a file
with open["4forces.json","w"] as f:
  f.write[data]

# reads it back
with open["4forces.json","r"] as f:
  data = f.read[]

# decoding the JSON to dictionay
d = json.loads[data]

print[d]

If we prefer working with files instead of strings, we may want to use json.dump[] / json.load[] to encode / decode JSON data using the data from the previous example:

# write to a file
with open["4forces.json","w"] as f:
  json.dump[d, f]

# reads it back
with open["4forces.json","r"] as f:
  d = json.load[f]

Here is another example [json.dump[]/json.load[]] using simpler data:

import json

# in.json file - {"alpha":1, "beta":2}
with open["in.json","r"] as fr:
  out_dict = json.load[fr]
print[out_dict]

in_dict = {"a":1,"b":2}
with open["out.json","w"] as fw:
    json.dump[in_dict, fw]
# out.json file - {"a":1,"b":2}

Usage for string version: json.loads[]/json.dumps[]:

import json

# string version of json load & dump

# in.json file - {"alpha":1, "beta":2}
with open["in.json", "r"] as fr:
    out_str = fr.read[]
out_dict = json.loads[out_str]

# in_dict = {"a":1,"b":2}
in_str = json.dumps[in_dict]
with open["out.json","w"] as fw:
    fw.write[in_str]
# out.json file - {"a":1,"b":2}

The following example sends a syslog to logstash fargate containers behind AWS NLB:

import socket
import json
import sys

HOST = 'demo-NLB-.....elb.us-west-2.amazonaws.com'
PORT = 6514

try:
  sock = socket.socket[socket.AF_INET, socket.SOCK_STREAM]
except socket.error as error:
  if error.errno == errno.ECONNREFUSED:
        print[os.strerror[error.errno]]
  else:
        raise

try:
  sock.connect[[HOST, PORT]]
except socket.error as error:
  if error.errno == errno.ECONNREFUSED:
        print[os.strerror[error.errno]]
  else:
        raise

msg = {'@message': 'May 11 10:40:48 scrooge disk-health-nurse[26783]: [ID 702911 user.error] m:SY-mon-full-500 c:H : partition health measures for /var did not suffice - still using 96% of partition space', '@tags': ['python', 'test']}

sock.send[json.dumps[msg].encode[]]

sock.close[]
sys.exit[0]  

note that for the HOST, we can also use FQDN instead of the NLB's domain name.

Also, as usual, instead of the long line of code, we may want to use a simple linux command, nc:

$ echo "message at $[date] from khong" | nc demo-NLB-.....elb.us-west-2.amazonaws.com 6514    

If the NLB listener protocol is TLS, we can use openssl echo to the TLS NLB:

$ echo "message at $[date] from khong's mac" | openssl s_client -connect demo-TSL-NLB-.....elb.us-west-2.amazonaws.com:6514 -ign_eof    

Another example: AWS API response.

When we make an AWS API call, the response can be an invalid json due to datetime:

datetime.datetime[2021, 8, 25, 22, 45, 28, tzinfo = tzutc[]]    

We need to serialize it [ow to overcome “datetime.datetime not JSON serializable”?].

Here is a boto3 code for an API call to EC2 describe:

import boto3
import json

ec2 = boto3.client['ec2']
response = ec2.describe_instances[]
s = json.dumps[response, default=str]
open["r.json","w"].write[s]
print[response]    

The r.json with jq looks like this:

$ cat r.json | jq '.'
{
  "Reservations": [
    {
      "Groups": [],
      "Instances": [
        {
          "AmiLaunchIndex": 0,
          "ImageId": "ami-083ac7c7ecf9bb9b0",
          "InstanceId": "i-065ddf45930536083",
          "InstanceType": "t2.micro",
          "LaunchTime": "2021-08-25 22:45:28+00:00",
          "Monitoring": {
            "State": "disabled"
          },
          "Placement": {
            "AvailabilityZone": "us-west-2a",
            "GroupName": "",
            "Tenancy": "default"
          },
          "PrivateDnsName": "ip-10-99-101-164.us-west-2.compute.internal",
          "PrivateIpAddress": "10.99.101.164",
          "ProductCodes": [],
          "PublicDnsName": "ec2-34-219-168-233.us-west-2.compute.amazonaws.com",
          "PublicIpAddress": "34.219.168.233",
          "State": {
            "Code": 16,
            "Name": "running"
          },
          "StateTransitionReason": "",
          "SubnetId": "subnet-0c28e356543ecb34f",
          "VpcId": "vpc-02fda1ad9b61c51a2",
          "Architecture": "x86_64",
          "BlockDeviceMappings": [
            {
              "DeviceName": "/dev/xvda",
              "Ebs": {
                "AttachTime": "2021-08-25 22:45:29+00:00",
                "DeleteOnTermination": true,
                "Status": "attached",
                "VolumeId": "vol-0632c2b714a0cec83"
              }
            }
          ],
          "ClientToken": "",
          "EbsOptimized": false,
          "EnaSupport": true,
          "Hypervisor": "xen",
          "IamInstanceProfile": {
            "Arn": "arn:aws:iam::197828489041:instance-profile/AmazonSSMRoleForInstancesQuickSetup",
            "Id": "AIPAVPSFGBEENL5E6UYJ7"
          },
          "NetworkInterfaces": [
            {
              "Association": {
                "IpOwnerId": "amazon",
                "PublicDnsName": "ec2-34-219-168-233.us-west-2.compute.amazonaws.com",
                "PublicIp": "34.219.168.233"
              },
              "Attachment": {
                "AttachTime": "2021-08-25 22:45:28+00:00",
                "AttachmentId": "eni-attach-0e740740b080380ab",
                "DeleteOnTermination": true,
                "DeviceIndex": 0,
                "Status": "attached",
                "NetworkCardIndex": 0
              },
              "Description": "Primary network interface",
              "Groups": [
                {
                  "GroupName": "delete-me",
                  "GroupId": "sg-00bee859aca8c03ab"
                }
              ],
              "Ipv6Addresses": [],
              "MacAddress": "02:06:a7:41:c0:73",
              "NetworkInterfaceId": "eni-089753322166f05ab",
              "OwnerId": "197828489041",
              "PrivateDnsName": "ip-10-99-101-164.us-west-2.compute.internal",
              "PrivateIpAddress": "10.99.101.164",
              "PrivateIpAddresses": [
                {
                  "Association": {
                    "IpOwnerId": "amazon",
                    "PublicDnsName": "ec2-34-219-168-233.us-west-2.compute.amazonaws.com",
                    "PublicIp": "34.219.168.233"
                  },
                  "Primary": true,
                  "PrivateDnsName": "ip-10-99-101-164.us-west-2.compute.internal",
                  "PrivateIpAddress": "10.99.101.164"
                }
              ],
              "SourceDestCheck": true,
              "Status": "in-use",
              "SubnetId": "subnet-0c28e356543ecb34f",
              "VpcId": "vpc-02fda1ad9b61c51a2",
              "InterfaceType": "interface"
            }
          ],
          "RootDeviceName": "/dev/xvda",
          "RootDeviceType": "ebs",
          "SecurityGroups": [
            {
              "GroupName": "delete-me",
              "GroupId": "sg-00bee859aca8c03ab"
            }
          ],
          "SourceDestCheck": true,
          "VirtualizationType": "hvm",
          "CpuOptions": {
            "CoreCount": 1,
            "ThreadsPerCore": 1
          },
          "CapacityReservationSpecification": {
            "CapacityReservationPreference": "open"
          },
          "HibernationOptions": {
            "Configured": false
          },
          "MetadataOptions": {
            "State": "applied",
            "HttpTokens": "optional",
            "HttpPutResponseHopLimit": 1,
            "HttpEndpoint": "enabled",
            "HttpProtocolIpv6": "disabled"
          },
          "EnclaveOptions": {
            "Enabled": false
          }
        }
      ],
      "OwnerId": "197828489041",
      "ReservationId": "r-0b6752f9a69f3ba08"
    }
  ],
  "ResponseMetadata": {
    "RequestId": "5cd271e5-3631-4e4c-a07d-78d169514e39",
    "HTTPStatusCode": 200,
    "HTTPHeaders": {
      "x-amzn-requestid": "5cd271e5-3631-4e4c-a07d-78d169514e39",
      "cache-control": "no-cache, no-store",
      "strict-transport-security": "max-age=31536000; includeSubDomains",
      "content-type": "text/xml;charset=UTF-8",
      "content-length": "7803",
      "vary": "accept-encoding",
      "date": "Thu, 26 Aug 2021 00:02:15 GMT",
      "server": "AmazonEC2"
    },
    "RetryAttempts": 0
  }
}    




Python tutorial


Python Home

Introduction

Running Python Programs [os, sys, import]

Modules and IDLE [Import, Reload, exec]

Object Types - Numbers, Strings, and None

Strings - Escape Sequence, Raw String, and Slicing

Strings - Methods

Formatting Strings - expressions and method calls

Files and os.path

Traversing directories recursively

Subprocess Module

Regular Expressions with Python

Regular Expressions Cheat Sheet

Object Types - Lists

Object Types - Dictionaries and Tuples

Functions def, *args, **kargs

Functions lambda

Built-in Functions

map, filter, and reduce

Decorators

List Comprehension

Sets [union/intersection] and itertools - Jaccard coefficient and shingling to check plagiarism

Hashing [Hash tables and hashlib]

Dictionary Comprehension with zip

The yield keyword

Generator Functions and Expressions

generator.send[] method

Iterators

Classes and Instances [__init__, __call__, etc.]

if__name__ == '__main__'

argparse

Exceptions

@static method vs class method

Private attributes and private methods

bits, bytes, bitstring, and constBitStream

json.dump[s] and json.load[s]

Python Object Serialization - pickle and json

Python Object Serialization - yaml and json

Priority queue and heap queue data structure

Graph data structure

Dijkstra's shortest path algorithm

Prim's spanning tree algorithm

Closure

Functional programming in Python

Remote running a local file using ssh

SQLite 3 - A. Connecting to DB, create/drop table, and insert data into a table

SQLite 3 - B. Selecting, updating and deleting data

MongoDB with PyMongo I - Installing MongoDB ...

Python HTTP Web Services - urllib, httplib2

Web scraping with Selenium for checking domain availability

REST API : Http Requests for Humans with Flask

Blog app with Tornado

Multithreading ...

Python Network Programming I - Basic Server / Client : A Basics

Python Network Programming I - Basic Server / Client : B File Transfer

Python Network Programming II - Chat Server / Client

Python Network Programming III - Echo Server using socketserver network framework

Python Network Programming IV - Asynchronous Request Handling : ThreadingMixIn and ForkingMixIn

Python Coding Questions I

Python Coding Questions II

Python Coding Questions III

Python Coding Questions IV

Python Coding Questions V

Python Coding Questions VI

Python Coding Questions VII

Python Coding Questions VIII

Image processing with Python image library Pillow

Python and C++ with SIP

PyDev with Eclipse

Matplotlib

Redis with Python

NumPy array basics A

NumPy Matrix and Linear Algebra

Pandas with NumPy and Matplotlib

Celluar Automata

Batch gradient descent algorithm

Longest Common Substring Algorithm

Python Unit Test - TDD using unittest.TestCase class

Simple tool - Google page ranking by keywords

Google App Hello World

Google App webapp2 and WSGI

Uploading Google App Hello World

Python 2 vs Python 3

virtualenv and virtualenvwrapper

Uploading a big file to AWS S3 using boto module

Scheduled stopping and starting an AWS instance

Cloudera CDH5 - Scheduled stopping and starting services

Removing Cloud Files - Rackspace API with curl and subprocess

Checking if a process is running/hanging and stop/run a scheduled task on Windows

Apache Spark 1.3 with PySpark [Spark Python API] Shell

Apache Spark 1.2 Streaming

bottle 0.12.7 - Fast and simple WSGI-micro framework for small web-applications ...

Flask app with Apache WSGI on Ubuntu14/CentOS7 ...

Fabric - streamlining the use of SSH for application deployment

Ansible Quick Preview - Setting up web servers with Nginx, configure enviroments, and deploy an App

Neural Networks with backpropagation for XOR using one hidden layer

NLP - NLTK [Natural Language Toolkit] ...

RabbitMQ[Message broker server] and Celery[Task queue] ...

OpenCV3 and Matplotlib ...

Simple tool - Concatenating slides using FFmpeg ...

iPython - Signal Processing with NumPy

iPython and Jupyter - Install Jupyter, iPython Notebook, drawing with Matplotlib, and publishing it to Github

iPython and Jupyter Notebook with Embedded D3.js

Downloading YouTube videos using youtube-dl embedded with Python

Machine Learning : scikit-learn ...

Django 1.6/1.8 Web Framework ...





How do I get rid of backslash in JSON?

“remove backslash in json array javascript” Code Answer.
var data = {"\\id\\":"\\23232\\","\\pass\\":"\\1434\\"};.
console. log[data];.
var b=JSON. stringify[data];.
str = b. replace[/\\/g, ''];.
console. log[str];.

How do I get rid of a slash in JSON Python?

Using json.Dumps[] and json.Loads[] Functions in The Same Order to Remove Backslash from Json String in Python..
Using replace[] Function Along with The json.Loads[] Function to Remove Backslash from Json String in Python..

Why does my JSON have backslash?

Those backslashes are escape characters. They are escaping the special characters inside of the string associated with JSON response. You have to use JSON. parse to parse that JSON string into a JSON object.

What is difference between dump and dumps in Python?

dump[] method used to write Python serialized object as JSON formatted data into a file. json. dumps[] method is used to encodes any Python object into JSON formatted String.

Chủ Đề