First, use json. loads() method to convert JSON String to Python object. To convert this object to a pretty print JSON string, the json. dumps() method is used.
We can use the indent parameter of json. dump() to specify the indentation value. By default, when you write JSON data into a file, Python doesn't use indentations and writes all data on a single line, which is not readable. The separator parameter: You can specify any separator between JSON key and value.
From the command-line:
echo '{"one":1,"two":2}' | python -mjson.tool
which outputs:
{
"one": 1,
"two": 2
}
Programmtically, the Python manual describes pretty-printing JSON:
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"4": 5,
"6": 7
}
Use the indent
argument of the dumps
function in the json module.
From the docs:
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"4": 5,
"6": 7
}
A minimal in-python solution that colors json data supplied via the command line:
import sys
import json
from pygments import highlight, lexers, formatters
formatted_json = json.dumps(json.loads(sys.argv[1]), indent=4)
colorful_json = highlight(unicode(formatted_json, 'UTF-8'), lexers.JsonLexer(), formatters.TerminalFormatter())
print(colorful_json)
Inspired by pjson
mentioned above. This code needs pygments
to be installed.
Output example:
Try underscore-cli:
cat myfile.json | underscore print --color
It's a pretty nifty tool that can elegantly do a lot of manipulation of structured data, execute js snippets, fill templates, etc. It's ridiculously well documented, polished, and ready for serious use. And I wrote it. :)
I didn't like the output of json.dumps(...) -> For my taste way too much newlines. And I didn't want to use a command line tool or install something. I finally found Pythons pprint (= pretty print). Unfortunately it doesn't generate proper JSON but I think it is useful to have a user friendly glympse at the stored data.
Output of json.dumps(json_dict, indent=4)
{
"hyperspace": {
"constraints": [],
"design": [
[
"windFarm.windparkSize.k",
"continuous",
[
0,
0,
5
]
],
[
"hydroPlant.primaryControlMax",
"continuous",
[
100,
300
]
]
],
"kpis": [
"frequency.y",
"city.load.p[2]"
]
},
"lhc_size": 10,
"number_of_runs": 10
}
Usage of pprint:
import pprint
json_dict = {"hyperspace": {"constraints": [], "design": [["windFarm.windparkSize.k", "continuous", [0, 0, 5]], ["hydroPlant.primaryControlMax", "continuous", [100, 300]]], "kpis": ["frequency.y", "city.load.p[2]"]}, "lhc_size": 10, "number_of_runs": 10}
formatted_json_str = pprint.pformat(json_dict)
print(formatted_json_str)
pprint.pprint(json_dict)
Result of pprint.pformat(...)
or pprint.pprint(...)
:
{'hyperspace': {'constraints': [],
'design': [['windFarm.windparkSize.k', 'continuous', [0, 0, 5]],
['hydroPlant.primaryControlMax',
'continuous',
[100, 300]]],
'kpis': ['frequency.y', 'city.load.p[2]']},
'lhc_size': 10,
'number_of_runs': 10}
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