Skip to main content

Serializable schema using traits

Project description

traitschema
===========

.. image:: https://travis-ci.org/mivade/traitschema.svg?branch=master
:target: https://travis-ci.org/mivade/traitschema

.. image:: https://readthedocs.org/projects/traitschema/badge/?version=latest
:target: http://traitschema.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status

.. image:: https://codecov.io/gh/mivade/traitschema/branch/master/graph/badge.svg
:target: https://codecov.io/gh/mivade/traitschema

.. image:: https://img.shields.io/github/release/mivade/traitschema.svg
:target: https://github.com/mivade/traitschema

Create serializable, type-checked schema using traits_ and Numpy. A typical use
case involves saving several Numpy arrays of varying shape and type.

.. _traits: http://docs.enthought.com/traits/


Defining schema
---------------

.. note::

The following assumes a basic familiarity with the ``traits`` package. See
its `documentation <http://docs.enthought.com/traits/>`_ for details.

In order to be able to properly serialize data, non-scalar traits should be
declared as a ``traits.api.Array`` type. Example:

.. code-block:: python

import numpy as np
from traits.api import Array, String
from traitschema import Schema

class NamedMatrix(Schema):
name = String()
data = Array(dtype=np.float64)

matrix = NamedMatrix(name="name", data=np.random.random((8, 8)))

For other demos, see the ``demos`` directory.


Saving and loading
------------------

Data can be stored in the following formats:

* HDF5 via ``h5py``
* JSON via the standard library ``json`` module
* Numpy ``npz`` format

Multiple schema can be saved at once to a zip file via
:func:`traitschema.bundle_schema` and loaded with
:func:`traitschema.load_bundle`.


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

traitschema-1.2.0-py2.py3-none-any.whl (8.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file traitschema-1.2.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for traitschema-1.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 781c47b4baa9ce051640eb53429333c2f5a4d67e7f2e0747396ade0a0608046d
MD5 204811016b7bffec67bb681e7d37a72a
BLAKE2b-256 b673b41eb2e2fd09dbebbe3e07e6617c17044aa7857bd1798d7e074b64e745d5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page