from datetime import date
from marshmallow import Schema, fields, pprint

class ArtistSchema(Schema):
    name = fields.Str()
class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()
    artist = fields.Nested(ArtistSchema)
bowie = dict(name='David Bowie')
album = dict(artist=bowie, title='Hunky Dory', release_date=date(1971, 12, 17))
schema = AlbumSchema()
result = schema.dump(album)
pprint(result.data, indent=2)
{ 'artist': {'name': 'David Bowie'},
'release_date': '1971-12-17',
'title': 'Hunky Dory'}</pre></div>
In short, marshmallow schemas can be used to:

Validate input data.
Deserialize input data to app-level objects.
Serialize app-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API.

 
Get It Now
$ pip install -U marshmallow
 
Documentation
Full documentation is available at http://marshmallow.readthedocs.org/ .
 
Requirements

Python >= 2.6 or >= 3.3

marshmallow has no external dependencies outside of the Python standard library, although python-dateutil is recommended for robust datetime deserialization.
 
Ecosystem
A list of marshmallow-related libraries can be found at the GitHub wiki here:
https://github.com/marshmallow-code/marshmallow/wiki/Ecosystem
 
Project Links

Docs: http://marshmallow.readthedocs.org/
Changelog: http://marshmallow.readthedocs.org/en/latest/changelog.html
PyPI: https://pypi.python.org/pypi/marshmallow
Issues: https://github.com/marshmallow-code/marshmallow/issues

 
License
MIT licensed. See the bundled LICENSE file for more details.






項目地址： https://github.com/marshmallow-code/marshmallow