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Diffstat (limited to 'docs/tutorial/1-serialization.md')
| -rw-r--r-- | docs/tutorial/1-serialization.md | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/docs/tutorial/1-serialization.md b/docs/tutorial/1-serialization.md index 458161d0..80e869ea 100644 --- a/docs/tutorial/1-serialization.md +++ b/docs/tutorial/1-serialization.md @@ -151,7 +151,7 @@ We've now got a few snippet instances to play with. Let's take a look at serial serializer = SnippetSerializer(snippet) serializer.data - # ReturnDict([('pk', 2), ('title', u''), ('code', u'print "hello, world"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')]) + # {'pk': 2, 'title': u'', 'code': u'print "hello, world"\n', 'linenos': False, 'language': u'python', 'style': u'friendly'} At this point we've translated the model instance into Python native datatypes. To finalize the serialization process we render the data into `json`. @@ -182,8 +182,7 @@ We can also serialize querysets instead of model instances. To do so we simply serializer = SnippetSerializer(Snippet.objects.all(), many=True) serializer.data - # [OrderedDict([('pk', 1), ('title', u''), ('code', u'foo = "bar"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')]), OrderedDict([('pk', 2), ('title', u''), ('code', u'print "hello, world"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')]), OrderedDict([('pk', 3), ('title', u''), ('code', u'print "hello, world"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')])] - + # [{'pk': 1, 'title': u'', 'code': u'foo = "bar"\n', 'linenos': False, 'language': u'python', 'style': u'friendly'}, {'pk': 2, 'title': u'', 'code': u'print "hello, world"\n', 'linenos': False, 'language': u'python', 'style': u'friendly'}] ## Using ModelSerializers |