Puede alguien sugerir cómo puedo embellecer JSON en Python o a través de la línea de comandos?

La única línea basado en JSON formateo automático de los queries que podía hacer era: http://jsonviewer.stack.hu/.

Necesito utilizar desde dentro de Python, sin embargo.

Este es mi conjunto de datos:

{ "head": {"vars": [ "address" , "description" ,"listprice" ]} , "results": { "bindings": [ 
{
"address" : { "type":"string", "value" : " Dyne Road, London NW6"},
"description" :{ "type":"string", "value" : "6 bed semi detached house"},
"listprice" : { "type":"string", "value" : "1,150,000"}
}
,
{
"address" : { "type":"string", "value" : " Tweedy Road, Bromley BR1"},
"description" :{ "type":"string", "value" : "5 bed terraced house"},
"listprice" : { "type":"string", "value" : "550,000"}
}
,
{
"address" : { "type":"string", "value" : " Vera Avenue, London N21"},
"description" :{ "type":"string", "value" : "4 bed detached house"},
"listprice" : { "type":"string", "value" : "
995,000
"}
}
,
{
"address" : { "type":"string", "value" : " Wimbledon Park Side, London SW19"},
"description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Westbere Road, West Hampstead, London NW2"},
"description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " The Avenue, Hatch End, Pinner HA5"},
"description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Princes Park Avenue, London NW11"},
"description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Canons Drive, Edgware HA8"},
"description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Westbere Road, West Hampstead NW2"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Haymills Estate, Ealing, London"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Dene Terrace Woodclyffe Drive, Chislehurst, Kent BR7"},
"description" :{ "type":"string", "value" : "5 bedroom  terraced house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Dene Terrace Woodclyffe Drive, Chislehurst, Kent BR7"},
"description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Northwick Close, St John's Wood NW8"},
"description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Claremont Gardens, Surbiton KT6"},
"description" :{ "type":"string", "value" : "13 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Dene Terrace Woodclyffe Drive, Chislehurst, Kent BR7"},
"description" :{ "type":"string", "value" : "5 bedroom  end terrace house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Stamford Road, London N1"},
"description" :{ "type":"string", "value" : "4 bedroom  terraced house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Stanhope Avenue, London N3"},
"description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Haymills Estate, Ealing, London"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Elms Crescent, London SW4"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Princes Park Avenue, London NW11"},
"description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Abbeville Road, London SW4"},
"description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Canons Drive, Edgware HA8"},
"description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Henson Avenue, Willesdon Green NW2"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Woodstock Road, London NW11"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Tamworth Street, London SW6"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Stanhope Avenue, Finchley, London"},
"description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " The Old Burlington, Church Street, London W4"},
"description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Ebury Close, Northwood HA6"},
"description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Middleton Road, London NW11"},
"description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Henson Avenue, Willesden Green NW2"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Huron Road, London SW17"},
"description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Corringway, Ealing W5"},
"description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Woodlands Avenue, New Malden KT3"},
"description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Gunnersbury Park Area, Ealing, London"},
"description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Blenheim Gardens, London, Brent NW2"},
"description" :{ "type":"string", "value" : "6 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Creighton Road, London NW6"},
"description" :{ "type":"string", "value" : "4 bedroom  terraced house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Plaistow Lane, Bromley BR1"},
"description" :{ "type":"string", "value" : "7 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Greenfield Gardens, London NW2"},
"description" :{ "type":"string", "value" : "4 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Hendon Avenue, London N3"},
"description" :{ "type":"string", "value" : "3 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Peckham Park Road, London SE15"},
"description" :{ "type":"string", "value" : "6 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Woodclyffe Drive, Chislehurst BR7"},
"description" :{ "type":"string", "value" : "5 bedroom  house for sale"},
"listprice" : { "type":"string", "value" : "
From 1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Highwood Hill, Mill Hill, London"},
"description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Stanhope Avenue, London N3"},
"description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Kersley Mews, London SW11"},
"description" :{ "type":"string", "value" : "3 bedroom  mews for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Ebury Close, Northwood HA6"},
"description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Ellesmere Road, Chiswick W4"},
"description" :{ "type":"string", "value" : "6 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " The Avenue, Hatch End, Pinner, Middlesex"},
"description" :{ "type":"string", "value" : "5 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Wandsworth, London SW18"},
"description" :{ "type":"string", "value" : "6 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Carlton Road, New Malden KT3"},
"description" :{ "type":"string", "value" : "4 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " St Mary's Mews, Ealing W5"},
"description" :{ "type":"string", "value" : "3 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Ritherdon Road, Balham, London SW17"},
"description" :{ "type":"string", "value" : "5 bedroom  semi detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Goldsmith Avenue, London W3"},
"description" :{ "type":"string", "value" : "5 bedroom  property for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
,
{
"address" : { "type":"string", "value" : " Plaistow Lane, Bromley, Kent BR1"},
"description" :{ "type":"string", "value" : "7 bedroom  detached house for sale"},
"listprice" : { "type":"string", "value" : "
1,250,000
"}
}
] } }
  • Me encanta el título de la pregunta (embellecer) 🙂
InformationsquelleAutor Khwaishien | 2012-02-01

12 Comentarios

  1. 31

    Utilizar el indent argumento de la dumps función en la json módulo.

    De la documentación:

    >>> import json
    >>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
    {
    "4": 5,
    "6": 7
    }
  2. 26

    Un mínimo en la solución python que los colores json datos facilitados a través de la línea de comandos:

    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)

    Inspirado por pjson mencionados anteriormente. Este código debe pygments a ser instalado.

    Ejemplo de salida:

    Cómo embellecer JSON en Python?

    • Muy útil. Exactamente lo que estaba buscando – para embellecer JSON salidas de datos en ipython. Gracias.
    • Mejor respuesta aquí, también incluye una línea usando json.vertederos (), Utilizando con aiohttp en python3.7, no necesita usar el módulo sys y unicode(Cadena, codificación). Básicamente se convierte en == resalte(formatted_json, lexers.JsonLexer(), formatters.TerminalFormatter())
    • con Python3, sólo necesitaba quitar el unicode() llamada como son las cadenas de caracteres por defecto de Unicode en Python3.
  3. 17

    Intentar subrayado-cli:

    cat myfile.json | underscore print --color

    Cómo embellecer JSON en Python?

    Es bastante ingeniosa herramienta que puede elegantemente hacer un montón de manipulación de datos estructurados, ejecutar js fragmentos de relleno, plantillas, etc. Es ridículamente bien documentado, pulido y listo para un uso serio. Y yo la escribí. 🙂

  4. 11

    El comando de la cli que he usado con python para esto es:

    cat myfile.json | python -mjson.tool

    Usted debería ser capaz de encontrar más info aquí:

    http://docs.python.org/library/json.html

    • Ese es otro lamentable ejemplo de felino abuso. El mismo resultado puede lograrse sin la creación de un proceso independiente y un montón de gratuidad, de la memoria de copia con un simple python -mjson.tool < myfile.json
    • Tal vez yo como alimentar a mis gatos? 😛
    • Funciona muy bien con vim cuando la sangría de línea actual :.!python -mjson.tool
  5. 7

    Parece jsbeautifier de código abierto sus herramientas y envasados como Python y JS libs, y como herramientas de línea de comandos. No es como ellos llaman a un servicio web, pero yo no comprobar muy de cerca. Ver el repo de github con las instrucciones de instalación.


    De sus docs para Python CLI y uso de la biblioteca:

    Para embellecer el uso de python:

    $ pip install jsbeautifier
    $ js-beautify file.js

    Embellecido salida va a stdout.

    Utilizar jsbeautifier como una biblioteca es simple:

    import jsbeautifier
    res = jsbeautifier.beautify('your javascript string')
    res = jsbeautifier.beautify_file('some_file.js')

    …o, para especificar algunas opciones:

    opts = jsbeautifier.default_options()
    opts.indent_size = 2
    res = jsbeautifier.beautify('some javascript', opts)

    Si quieres pasar una cadena en lugar de un nombre de archivo, y usted está usando bash, entonces usted puede utilizar el proceso de sustitución de este modo:

    $ js-beautify <(echo '{"some": "json"}')
  6. 4
    alias jsonp='pbpaste | python -m json.tool'

    Esta bastante impresión JSON que está en el portapapeles en OSX. Acaba de Copiar, a continuación, llamar el alias de un prompt de Bash.

  7. 3

    Podría canalizar la salida a jq. Si usted secuencia de comandos de python contiene algo como

    print json.dumps(data)

    entonces usted puede incendio:

    python foo.py | jq '.'
  8. 1

    Sus datos está mal formada. El valor de los campos, en particular, tienen numerosos espacios y nuevas líneas. Automatizado de los formateadores no trabajo en esto, ya que no va a modificar los datos reales. Como se generan los datos de salida, filtro según sea necesario para evitar los espacios.

  9. 0

    Con jsonlint (como xmllint):

    aptitude install python-demjson
    jsonlint -f foo.json

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