von JSON generieren Datenrahmen

ich von JSON.the json einen Datenrahmen zu erzeugen versuchen.von JSON generieren Datenrahmen

Das habe ich bis jetzt gemacht.

from pandas.io.json import json_normalize 
a = { "eventId": "9668383e-ec96-4d6a-b873-2312dd008e7b", "eventType": "PlannedCustomerChoiceWasUpdated", "publishedDate": "2016-05-31T18:52:29.219Z", "payload": { "plannedCustomerChoiceId": "e9301a6e-7ccf-4c89-bd05-19c1b9067a61" }, "_links": { "self": { "href": "http://gbp-router.gapinc.dev:8080/planning-service/_feeds/planning.planning-service.planned-customer-choice-events/entries/d2de62a6-1e0f-430a-bf3f-2df711f64beb" }, "source": { "href": "http://gbp-router.gapinc.dev:8080/planning-service/planning/buy-plan/planned-customer-choices/e9301a6e-7ccf-4c89-bd05-19c1b9067a61" } } } 
b = json_normalize(a) 
print b

Ich kann im gewünschten Format nicht erreichen. Kann mir jemand helfen?

mit b = pd.DataFrame (a) der Datenrahmen ist in unter Format.

links \ 
plannedCustomerChoiceId            NaN 
self      {u'href': u'http://gbp-router.gapinc.dev:8080/... 
source     {u'href': u'http://gbp-router.gapinc.dev:8080/... 

                 eventId \ 
plannedCustomerChoiceId 9668383e-ec96-4d6a-b873-2312dd008e7b 
self      9668383e-ec96-4d6a-b873-2312dd008e7b 
source     9668383e-ec96-4d6a-b873-2312dd008e7b 

               eventType \ 
plannedCustomerChoiceId PlannedCustomerChoiceWasUpdated 
self      PlannedCustomerChoiceWasUpdated 
source     PlannedCustomerChoiceWasUpdated 

                 payload \ 
plannedCustomerChoiceId e9301a6e-7ccf-4c89-bd05-19c1b9067a61 
self              NaN 
source             NaN 

            publishedDate 
plannedCustomerChoiceId 2016-05-31T18:52:29.219Z 
self      2016-05-31T18:52:29.219Z 
source     2016-05-31T18:52:29.219Z

, was ich eigentlich eine Suche ist

9668383e-ec96-4d6a-b873-2312dd008e7b,PlannedCustomerChoiceWasUpdated,2016-05-31T18:52:29.219Z,e9301a6e-7ccf-4c89-bd05-19c1b9067a61,http://gbp-router.gapinc.dev:8080/planning-service/planning/buy-plan/planned-customer-choices/e9301a6e-7ccf-4c89-bd05-19c1b9067a61

Quelle

2016-06-16 occasional visitor

Was bedeutet "single records"? Können Sie die gewünschte Ausgabe hinzufügen? – jezrael

Was ist mit 'b = pd.DataFrame (a)'? – MaxU

im Grunde bin ich dabei, den JSON zu normalisieren und einen Datenrahmen zu erstellen, so dass ich im Tabellenformat sein kann. –

Ich glaube, Sie können erste Änderung Reihenfolge der Spalten und dann to_csv:

import pandas as pd 

from pandas.io.json import json_normalize 
a = { "eventId": "9668383e-ec96-4d6a-b873-2312dd008e7b", "eventType": "PlannedCustomerChoiceWasUpdated", "publishedDate": "2016-05-31T18:52:29.219Z", "payload": { "plannedCustomerChoiceId": "e9301a6e-7ccf-4c89-bd05-19c1b9067a61" }, "_links": { "self": { "href": "http://gbp-router.gapinc.dev:8080/planning-service/_feeds/planning.planning-service.planned-customer-choice-events/entries/d2de62a6-1e0f-430a-bf3f-2df711f64beb" }, "source": { "href": "http://gbp-router.gapinc.dev:8080/planning-service/planning/buy-plan/planned-customer-choices/e9301a6e-7ccf-4c89-bd05-19c1b9067a61" } } } 
b = json_normalize(a) 

b = b[['eventId','eventType','publishedDate','payload.plannedCustomerChoiceId','_links.source.href']] 
#print (b) 

print (b.to_csv(index=False, header=False)) 
9668383e-ec96-4d6a-b873-2312dd008e7b,PlannedCustomerChoiceWasUpdated,2016-05-31T18:52:29.219Z,e9301a6e-7ccf-4c89-bd05-19c1b9067a61,http://gbp-router.gapinc.dev:8080/planning-service/planning/buy-plan/planned-customer-choices/e9301a6e-7ccf-4c89-bd05-19c1b9067a61

Wenn Spalte ändern müssen Namen:

import pandas as pd 

from pandas.io.json import json_normalize 
a = { "eventId": "9668383e-ec96-4d6a-b873-2312dd008e7b", "eventType": "PlannedCustomerChoiceWasUpdated", "publishedDate": "2016-05-31T18:52:29.219Z", "payload": { "plannedCustomerChoiceId": "e9301a6e-7ccf-4c89-bd05-19c1b9067a61" }, "_links": { "self": { "href": "http://gbp-router.gapinc.dev:8080/planning-service/_feeds/planning.planning-service.planned-customer-choice-events/entries/d2de62a6-1e0f-430a-bf3f-2df711f64beb" }, "source": { "href": "http://gbp-router.gapinc.dev:8080/planning-service/planning/buy-plan/planned-customer-choices/e9301a6e-7ccf-4c89-bd05-19c1b9067a61" } } } 
b = json_normalize(a) 

b.columns = ['self','source','eventId','eventType','plannedCustomerChoiceId','publishedDate'] 
print (b) 
               self \ 
0 http://gbp-router.gapinc.dev:8080/planning-ser... 

               source \ 
0 http://gbp-router.gapinc.dev:8080/planning-ser... 

           eventId      eventType \ 
0 9668383e-ec96-4d6a-b873-2312dd008e7b PlannedCustomerChoiceWasUpdated 

       plannedCustomerChoiceId    publishedDate 
0 e9301a6e-7ccf-4c89-bd05-19c1b9067a61 2016-05-31T18:52:29.219Z 

b = b[['eventId','eventType','publishedDate','plannedCustomerChoiceId','source']] 
print (b) 
           eventId      eventType \ 
0 9668383e-ec96-4d6a-b873-2312dd008e7b PlannedCustomerChoiceWasUpdated 

       publishedDate    plannedCustomerChoiceId \ 
0 2016-05-31T18:52:29.219Z e9301a6e-7ccf-4c89-bd05-19c1b9067a61 

               source 
0 http://gbp-router.gapinc.dev:8080/planning-ser... 

print (b.to_csv(index=False, header=False)) 
b873-2312dd008e7b,PlannedCustomerChoiceWasUpdated,2016-05-31T18:52:29.219Z,e9301a6e-7ccf-4c89-bd05-19c1b9067a61,http://gbp-router.gapinc.dev:8080/planning-service/planning/buy-plan/planned-customer-choices/e9301a6e-7ccf-4c89-bd05-19c1b9067a61

Quelle

2016-06-16 11:44:00 jezrael

Danke jezrael. –

von JSON generieren Datenrahmen

Antwort

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