用ChatGPT解决这个技术问题 Extra ChatGPT

How to prettyprint a JSON file?

How do I pretty-print a JSON file in Python?

Try to parse the JSON using json.loads() and pretty print that resulting dictionary. Or just skip to the Pretty printing section of the Python documentation for json.
stackoverflow.com/questions/352098/…
@Blender if you post an answer I'll give you credit... this might get closed as a duplicate, because the solution is the same, but the question is different, so perhaps not.
why not <your_file.js python -mjson.tool as in @ed's link?
I don't think it's duplicate because pretty-printing from command line is not the same as pretty-printing programmatically from Python. Voting to reopen.

V
Victor Schröder

The json module already implements some basic pretty printing in the dump and dumps functions, with the indent parameter that specifies how many spaces to indent by: 

>>> import json
>>>
>>> your_json = '["foo", {"bar":["baz", null, 1.0, 2]}]'
>>> parsed = json.loads(your_json)
>>> print(json.dumps(parsed, indent=4, sort_keys=True))
[
    "foo", 
    {
        "bar": [
            "baz", 
            null, 
            1.0, 
            2
        ]
    }
]

To parse a file, use json.load(): 

with open('filename.txt', 'r') as handle:
    parsed = json.load(handle)
For simple pretty-printing this also works without explicit parsing: print json.dumps(your_json_string, indent=4)
Without the indent, you just get a single line of ugly text, which is why I came here.
This is similar to JavaScript var str = JSON.stringify(obj, null, 4); as discussed here stackoverflow.com/questions/4810841/…
@Peterino, it is not working without explicit parsing. It prints an escaped line
In JS tool prettier, it will not add 'line break' if the line width less than 80. I am looking for it.
E
Eric O Lebigot

You can do this on the command line: 

python3 -m json.tool some.json

(as already mentioned in the commentaries to the question, thanks to @Kai Petzke for the python3 suggestion).

Actually python is not my favourite tool as far as json processing on the command line is concerned. For simple pretty printing is ok, but if you want to manipulate the json it can become overcomplicated. You'd soon need to write a separate script-file, you could end up with maps whose keys are u"some-key" (python unicode), which makes selecting fields more difficult and doesn't really go in the direction of pretty-printing.

You can also use jq: 

jq . some.json

and you get colors as a bonus (and way easier extendability).

Addendum: There is some confusion in the comments about using jq to process large JSON files on the one hand, and having a very large jq program on the other. For pretty-printing a file consisting of a single large JSON entity, the practical limitation is RAM. For pretty-printing a 2GB file consisting of a single array of real-world data, the "maximum resident set size" required for pretty-printing was 5GB (whether using jq 1.5 or 1.6). Note also that jq can be used from within python after pip install jq.

JQ is great but there is a max limit so its useless for large files. (i.e. blows up handling a 1.15mb file) github.com/stedolan/jq/issues/1041
yeah, man, definitely, if you are writing jq filters with more than 10K lines of code I think you're trying something like going to mars with a bicycle.
lol :D @gismo-ranas The json.tool version piped to a file works really really well on large files; and is stupidly fast. I like JQ but formatting anything beyond a small payload (which you could do in most text editors) is beyond its reach :) Random addition: json-generator.com is a neat tool to make test data
or just: jq '' < some.json
Actually I strongly recommend using python3 -m json.tool <IN >OUT, as this keeps the original order of the fields in JSON dicts. The python interpreter version 2 sorts the fields in alphabetically ascending order, which often is not, what you want.
i
ikreb

You could use the built-in module pprint (https://docs.python.org/3.9/library/pprint.html).

How you can read the file with json data and print it out. 

import json
import pprint

json_data = None
with open('file_name.txt', 'r') as f:
    data = f.read()
    json_data = json.loads(data)

print(json_data)
{"firstName": "John", "lastName": "Smith", "isAlive": "true", "age": 27, "address": {"streetAddress": "21 2nd Street", "city": "New York", "state": "NY", "postalCode": "10021-3100"}, 'children': []}

pprint.pprint(json_data)
{'address': {'city': 'New York',
             'postalCode': '10021-3100',
             'state': 'NY',
             'streetAddress': '21 2nd Street'},
 'age': 27,
 'children': [],
 'firstName': 'John',
 'isAlive': True,
 'lastName': 'Smith'}

The output is not a valid json, because pprint use single quotes and json specification require double quotes.

If you want to rewrite the pretty print formated json to a file, you have to use pprint.pformat. 

pretty_print_json = pprint.pformat(json_data).replace("'", '"')

with open('file_name.json', 'w') as f:
    f.write(pretty_print_json)
Problem with this is that pprint will use single and double quotes interchangably, but json requires double quotes only, so your pprinted json may no longer parse as valid json.
Yes, but it's only to output a json file. Not to take the output and write it again in a file.
question specifically says to pretty print a json file, not a python representation of a json file
@DanielFarrell You are right. Thanks. I updated my answer.
S
Shubham Chaudhary

Pygmentize + Python json.tool = Pretty Print with Syntax Highlighting

Pygmentize is a killer tool. See this.

I combine python json.tool with pygmentize 

echo '{"foo": "bar"}' | python -m json.tool | pygmentize -l json

See the link above for pygmentize installation instruction.

A demo of this is in the image below:

https://i.stack.imgur.com/bpTen.png

In your example -g is not actually working ;) Since input comes from stdin, pygmentize is not able to make a good guess. You need to specify lexer explicitly: echo '{"foo": "bar"}' | python -m json.tool | pygmentize -l json
@DenisTheMenace It used to work in 2015 when I created this example image. It doesn't seem to be working now on my system as well.
z
zelusp

Use this function and don't sweat having to remember if your JSON is a str or dict again - just look at the pretty print: 

import json

def pp_json(json_thing, sort=True, indents=4):
    if type(json_thing) is str:
        print(json.dumps(json.loads(json_thing), sort_keys=sort, indent=indents))
    else:
        print(json.dumps(json_thing, sort_keys=sort, indent=indents))
    return None

pp_json(your_json_string_or_dict)
O
Oliver

Use pprint: https://docs.python.org/3.6/library/pprint.html 

import pprint
pprint.pprint(json)

print() compared to pprint.pprint() 

print(json)
{'feed': {'title': 'W3Schools Home Page', 'title_detail': {'type': 'text/plain', 'language': None, 'base': '', 'value': 'W3Schools Home Page'}, 'links': [{'rel': 'alternate', 'type': 'text/html', 'href': 'https://www.w3schools.com'}], 'link': 'https://www.w3schools.com', 'subtitle': 'Free web building tutorials', 'subtitle_detail': {'type': 'text/html', 'language': None, 'base': '', 'value': 'Free web building tutorials'}}, 'entries': [], 'bozo': 0, 'encoding': 'utf-8', 'version': 'rss20', 'namespaces': {}}

pprint.pprint(json)
{'bozo': 0,
 'encoding': 'utf-8',
 'entries': [],
 'feed': {'link': 'https://www.w3schools.com',
          'links': [{'href': 'https://www.w3schools.com',
                     'rel': 'alternate',
                     'type': 'text/html'}],
          'subtitle': 'Free web building tutorials',
          'subtitle_detail': {'base': '',
                              'language': None,
                              'type': 'text/html',
                              'value': 'Free web building tutorials'},
          'title': 'W3Schools Home Page',
          'title_detail': {'base': '',
                           'language': None,
                           'type': 'text/plain',
                           'value': 'W3Schools Home Page'}},
 'namespaces': {},
 'version': 'rss20'}
pprint does not produce a valid JSON document.
@selurvedu what does that mean and why does that matter?
@CharlieParker I expect they meant that knowing you have a valid JSON document is pretty useful. Sure, you can use the json module to work with the data and dictionary keys work the same with double- or single-quoted strings, but some tools, e.g. Postman and JSON Editor Online, both expect keys and values to be double-quoted (as per the JSON spec). In any case, json.org specifies the use of double quotes, which pprint doesn't produce. E.g. pprint.pprint({"name": "Jane"}) produces {'name': 'Jane'}.
@CharlieParker an example would be the 'language': None, in the result above, which should be "language": null. Note the null and the double quotes. What you do is pretty-printing a Python object.
Yes, that's what I meant. Thanks for clarifying. :-)
V
V P

To be able to pretty print from the command line and be able to have control over the indentation etc. you can set up an alias similar to this: 

alias jsonpp="python -c 'import sys, json; print json.dumps(json.load(sys.stdin), sort_keys=True, indent=2)'"

And then use the alias in one of these ways: 

cat myfile.json | jsonpp
jsonpp < myfile.json
A
AJP 
def saveJson(date,fileToSave):
    with open(fileToSave, 'w+') as fileToSave:
        json.dump(date, fileToSave, ensure_ascii=True, indent=4, sort_keys=True)

It works to display or save it to a file.

D
David Liu

Here's a simple example of pretty printing JSON to the console in a nice way in Python, without requiring the JSON to be on your computer as a local file: 

import pprint
import json 
from urllib.request import urlopen # (Only used to get this example)

# Getting a JSON example for this example 
r = urlopen("https://mdn.github.io/fetch-examples/fetch-json/products.json")
text = r.read() 

# To print it
pprint.pprint(json.loads(text))
I get the following error message in Python 3: "TypeError: the JSON object must be str, not 'bytes'"
T
Travis Clarke

You could try pprintjson.

Installation 

$ pip3 install pprintjson

Usage

Pretty print JSON from a file using the pprintjson CLI. 

$ pprintjson "./path/to/file.json"

Pretty print JSON from a stdin using the pprintjson CLI. 

$ echo '{ "a": 1, "b": "string", "c": true }' | pprintjson

Pretty print JSON from a string using the pprintjson CLI. 

$ pprintjson -c '{ "a": 1, "b": "string", "c": true }'

Pretty print JSON from a string with an indent of 1. 

$ pprintjson -c '{ "a": 1, "b": "string", "c": true }' -i 1

Pretty print JSON from a string and save output to a file output.json. 

$ pprintjson -c '{ "a": 1, "b": "string", "c": true }' -o ./output.json

Output

https://i.stack.imgur.com/vsdBU.png

how is your soln different from import pprint pprint.pprint(json)?
@CharlieParker I think it produces a valid json document, as opposed to pprint which uses single-quotes instead of double-quotes
p
p3quod

I think that's better to parse the json before, to avoid errors: 

def format_response(response):
    try:
        parsed = json.loads(response.text)
    except JSONDecodeError:
        return response.text
    return json.dumps(parsed, ensure_ascii=True, indent=4)
u
user 923227

I had a similar requirement to dump the contents of json file for logging, something quick and easy: 

print(json.dumps(json.load(open(os.path.join('<myPath>', '<myjson>'), "r")), indent = 4 ))

if you use it often then put it in a function: 

def pp_json_file(path, file):
    print(json.dumps(json.load(open(os.path.join(path, file), "r")), indent = 4))
C
Charlie Parker

Hopefully this helps someone else.

In the case when there is a error that something is not json serializable the answers above will not work. If you only want to save it so that is human readable then you need to recursively call string on all the non dictionary elements of your dictionary. If you want to load it later then save it as a pickle file then load it (e.g. torch.save(obj, f) works fine).

This is what worked for me: 

#%%

def _to_json_dict_with_strings(dictionary):
    """
    Convert dict to dict with leafs only being strings. So it recursively makes keys to strings
    if they are not dictionaries.

    Use case:
        - saving dictionary of tensors (convert the tensors to strins!)
        - saving arguments from script (e.g. argparse) for it to be pretty

    e.g.

    """
    if type(dictionary) != dict:
        return str(dictionary)
    d = {k: _to_json_dict_with_strings(v) for k, v in dictionary.items()}
    return d

def to_json(dic):
    import types
    import argparse

    if type(dic) is dict:
        dic = dict(dic)
    else:
        dic = dic.__dict__
    return _to_json_dict_with_strings(dic)

def save_to_json_pretty(dic, path, mode='w', indent=4, sort_keys=True):
    import json

    with open(path, mode) as f:
        json.dump(to_json(dic), f, indent=indent, sort_keys=sort_keys)

def my_pprint(dic):
    """

    @param dic:
    @return:

    Note: this is not the same as pprint.
    """
    import json

    # make all keys strings recursively with their naitve str function
    dic = to_json(dic)
    # pretty print
    pretty_dic = json.dumps(dic, indent=4, sort_keys=True)
    print(pretty_dic)
    # print(json.dumps(dic, indent=4, sort_keys=True))
    # return pretty_dic

import torch
# import json  # results in non serializabe errors for torch.Tensors
from pprint import pprint

dic = {'x': torch.randn(1, 3), 'rec': {'y': torch.randn(1, 3)}}

my_pprint(dic)
pprint(dic)

output: 

{
    "rec": {
        "y": "tensor([[-0.3137,  0.3138,  1.2894]])"
    },
    "x": "tensor([[-1.5909,  0.0516, -1.5445]])"
}
{'rec': {'y': tensor([[-0.3137,  0.3138,  1.2894]])},
 'x': tensor([[-1.5909,  0.0516, -1.5445]])}

I don't know why returning the string then printing it doesn't work but it seems you have to put the dumps directly in the print statement. Note pprint as it has been suggested already works too. Note not all objects can be converted to a dict with dict(dic) which is why some of my code has checks on this condition.

Context:

I wanted to save pytorch strings but I kept getting the error: 

TypeError: tensor is not JSON serializable

so I coded the above. Note that yes, in pytorch you use torch.save but pickle files aren't readable. Check this related post: https://discuss.pytorch.org/t/typeerror-tensor-is-not-json-serializable/36065/3

PPrint also has indent arguments but I didn't like how it looks: 

    pprint(stats, indent=4, sort_dicts=True)

output: 

{   'cca': {   'all': {'avg': tensor(0.5132), 'std': tensor(0.1532)},
               'avg': tensor([0.5993, 0.5571, 0.4910, 0.4053]),
               'rep': {'avg': tensor(0.5491), 'std': tensor(0.0743)},
               'std': tensor([0.0316, 0.0368, 0.0910, 0.2490])},
    'cka': {   'all': {'avg': tensor(0.7885), 'std': tensor(0.3449)},
               'avg': tensor([1.0000, 0.9840, 0.9442, 0.2260]),
               'rep': {'avg': tensor(0.9761), 'std': tensor(0.0468)},
               'std': tensor([5.9043e-07, 2.9688e-02, 6.3634e-02, 2.1686e-01])},
    'cosine': {   'all': {'avg': tensor(0.5931), 'std': tensor(0.7158)},
                  'avg': tensor([ 0.9825,  0.9001,  0.7909, -0.3012]),
                  'rep': {'avg': tensor(0.8912), 'std': tensor(0.1571)},
                  'std': tensor([0.0371, 0.1232, 0.1976, 0.9536])},
    'nes': {   'all': {'avg': tensor(0.6771), 'std': tensor(0.2891)},
               'avg': tensor([0.9326, 0.8038, 0.6852, 0.2867]),
               'rep': {'avg': tensor(0.8072), 'std': tensor(0.1596)},
               'std': tensor([0.0695, 0.1266, 0.1578, 0.2339])},
    'nes_output': {   'all': {'avg': None, 'std': None},
                      'avg': tensor(0.2975),
                      'rep': {'avg': None, 'std': None},
                      'std': tensor(0.0945)},
    'query_loss': {   'all': {'avg': None, 'std': None},
                      'avg': tensor(12.3746),
                      'rep': {'avg': None, 'std': None},
                      'std': tensor(13.7910)}}

compare to: 

{
    "cca": {
        "all": {
            "avg": "tensor(0.5144)",
            "std": "tensor(0.1553)"
        },
        "avg": "tensor([0.6023, 0.5612, 0.4874, 0.4066])",
        "rep": {
            "avg": "tensor(0.5503)",
            "std": "tensor(0.0796)"
        },
        "std": "tensor([0.0285, 0.0367, 0.1004, 0.2493])"
    },
    "cka": {
        "all": {
            "avg": "tensor(0.7888)",
            "std": "tensor(0.3444)"
        },
        "avg": "tensor([1.0000, 0.9840, 0.9439, 0.2271])",
        "rep": {
            "avg": "tensor(0.9760)",
            "std": "tensor(0.0468)"
        },
        "std": "tensor([5.7627e-07, 2.9689e-02, 6.3541e-02, 2.1684e-01])"
    },
    "cosine": {
        "all": {
            "avg": "tensor(0.5945)",
            "std": "tensor(0.7146)"
        },
        "avg": "tensor([ 0.9825,  0.9001,  0.7907, -0.2953])",
        "rep": {
            "avg": "tensor(0.8911)",
            "std": "tensor(0.1571)"
        },
        "std": "tensor([0.0371, 0.1231, 0.1975, 0.9554])"
    },
    "nes": {
        "all": {
            "avg": "tensor(0.6773)",
            "std": "tensor(0.2886)"
        },
        "avg": "tensor([0.9326, 0.8037, 0.6849, 0.2881])",
        "rep": {
            "avg": "tensor(0.8070)",
            "std": "tensor(0.1595)"
        },
        "std": "tensor([0.0695, 0.1265, 0.1576, 0.2341])"
    },
    "nes_output": {
        "all": {
            "avg": "None",
            "std": "None"
        },
        "avg": "tensor(0.2976)",
        "rep": {
            "avg": "None",
            "std": "None"
        },
        "std": "tensor(0.0945)"
    },
    "query_loss": {
        "all": {
            "avg": "None",
            "std": "None"
        },
        "avg": "tensor(12.3616)",
        "rep": {
            "avg": "None",
            "std": "None"
        },
        "std": "tensor(13.7976)"
    }
}
F
Francisco Perdomo

It's far from perfect, but it does the job. 

data = data.replace(',"',',\n"')

you can improve it, add indenting and so on, but if you just want to be able to read a cleaner json, this is the way to go.

AttributeError: 'dict' object has no attribute 'replace'
Won't this screw up the file if you have a comma in a string?

关注公众号,不定期副业成功案例分享
Follow WeChat

Success story sharing

Want to stay one step ahead of the latest teleworks?

Subscribe Now

HuntsBot,a one-stop outsourcing task, remote job, product ideas sharing and subscription platform, which supports DingTalk, Lark, WeCom, Email and Telegram robot subscription. The platform will push outsourcing task requirements, remote work opportunities, product ideas to every subscribed user with timely, stable and reliable.

简体中文 English

Platform

Support

Contact US

Any questions or suggestions during use, you can contact us in the following ways:

Email: huntsbot@xinbeitime.com

Copyright© 2022-2023 www.huntsbot.com 浙ICP备2022000860号-4 All Rights Reserved.