Kann jemand vorschlagen, wie ich JSON in Python oder über die Befehlszeile verschönern kann?
Der einzige online-basierte JSON-Verschönerer, der dies tun konnte, war: http://jsonviewer.stack.hu/ .
Ich muss es jedoch aus Python heraus verwenden.
Dies ist mein Datensatz:
{ "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
"}
}
] } }
python
json
command-line
Khwaishien
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Antworten:
Über die Befehlszeile:
welche Ausgänge:
Programmatisch beschreibt das Python-Handbuch das hübsche Drucken von JSON :
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Verwenden Sie das
indent
Argument derdumps
Funktion im json-Modul .Aus den Dokumenten:
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Eine minimale In-Python-Lösung, die über die Befehlszeile bereitgestellte JSON-Daten färbt:
Inspiriert von
pjson
oben erwähnt. Dieser Code musspygments
installiert werden.Ausgabebeispiel:
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Versuchen Sie es mit Unterstrich :
Es ist ein ziemlich raffiniertes Tool, mit dem strukturierte Daten elegant manipuliert, JS-Snippets ausgeführt, Vorlagen gefüllt usw. werden können. Es ist lächerlich gut dokumentiert, poliert und für den ernsthaften Gebrauch bereit. Und ich habe es geschrieben. :) :)
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Der Befehl cli, den ich dafür mit Python verwendet habe, lautet:
Weitere Informationen finden Sie hier:
http://docs.python.org/library/json.html
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python -mjson.tool < myfile.json
:.!python -mjson.tool
Es sieht so aus, als ob jsbeautifier ihre Tools aus Open-Source- Quellen bezogen und als Python- und JS-Bibliotheken sowie als CLI-Tools verpackt hat. Es sieht nicht so aus, als würden sie einen Webdienst anrufen, aber ich habe nicht zu genau nachgesehen. Siehe das Github-Repo mit Installationsanweisungen.
Aus ihren Dokumenten für die Verwendung von Python CLI und Bibliotheken:
So verschönern Sie mit Python:
Verschönerte Ausgabe geht an
stdout
.Die Verwendung
jsbeautifier
als Bibliothek ist einfach:... oder, um einige Optionen anzugeben:
Wenn Sie eine Zeichenfolge anstelle eines Dateinamens übergeben möchten und bash verwenden, können Sie die Prozessersetzung wie folgt verwenden:
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Die Ausgabe von json.dumps (...) hat mir nicht gefallen -> Für meinen Geschmack viel zu viele Zeilenumbrüche. Und ich wollte kein Kommandozeilen-Tool verwenden oder etwas installieren. Ich habe endlich Pythons Druck gefunden (= hübscher Druck). Leider generiert es keinen richtigen JSON, aber ich denke, es ist nützlich, eine benutzerfreundliche Glypse für die gespeicherten Daten zu haben.
Ausgabe von
json.dumps(json_dict, indent=4)
Verwendung des Drucks:
Ergebnis von
pprint.pformat(...)
oderpprint.pprint(...)
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Dadurch wird JSON, das sich in OSX in der Zwischenablage befindet, hübsch gedruckt. Kopieren Sie es einfach und rufen Sie den Alias an einer Bash-Eingabeaufforderung auf.
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Sie können die Ausgabe an weiterleiten
jq
. Wenn Sie Python-Skript enthält so etwasdann kannst du feuern:
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Verwenden Sie die Python-Tool-Bibliothek
Befehlszeile: python -mjson.tool
Im Code: http://docs.python.org/library/json.html
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Installieren Sie zuerst Pylements
dann
echo '<some json>' | python -m json.tool | pygmentize -l json
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Ihre Daten sind schlecht geformt. Insbesondere die Wertefelder haben zahlreiche Leerzeichen und neue Zeilen. Automatisierte Formatierer funktionieren hier nicht, da sie die tatsächlichen Daten nicht ändern. Filtern Sie die Daten für die Ausgabe nach Bedarf, um Leerzeichen zu vermeiden.
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Mit jsonlint (wie xmllint):
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