jdata 0.3.5

Encoding and decoding Python data structrues using portable JData-annotated formats

JData for Python - a lightweight and portable data annotation method

• Copyright: (C) Qianqian Fang (2019-2020) <q.fang at neu.edu>
• License: Apache License, Version 2.0
• Version: 0.3.5
• URL: https://github.com/fangq/pyjdata

The JData Specification defines a lightweight language-independent data annotation interface targetted at storing and sharing complex data structures across different programming languages such as MATLAB, JavaScript, Python etc. Using JData formats, a complex Python data structure can be encoded as a dict object that is easily serialized as a JSON/binary JSON file and share such data between programs of different languages.

How to install

• Github: download from https://github.com/fangq/pyjdata
• PIP: run pip install jdata see https://pypi.org/project/jdata/

Optional Dependency (if reading or writing Binary JData/UBJSON files):

• bjdata: PIP: run pip install bjdata see https://pypi.org/project/bjdata/
• numpy: PIP: run pip install numpy or sudo apt-get install python-numpy

Replacing pip by pip3 if you are using Python 3.x. If either pip or pip3 does not exist on your system, please run

    sudo apt-get python-pip python3-pip

One can also install this module from the source code. To do this, you first check out a copy of the latest code from Github by

    git clone https://github.com/fangq/pyjdata.git
    cd pyjdata

then install the module to your local user folder by

    python setup.py install --user

or, if you prefer, install to the system folder for all users by

    sudo python setup.py install

Please replace python by python3 if you want to install it for Python 3.x instead of 2.x.

How to use

The PyJData module is easy to use. You can use the encode()/decode() functions to encode Python data into JData annotation format, or decode JData structures into native Python data, for example

import jdata as jd
import numpy as np
a={'str':'test','num':1.2,'list':[1.1,[2.1]],'nan':float('nan'),'np':np.arange(1,5,dtype=np.uint8)}
jd.encode(a)
jd.decode(jd.encode(a))
d1=jd.encode(a,{'compression':'zlib','base64':1})
d1
jd.decode(d1,{'base64':1})

One can further save the JData annotated data into JSON or binary JSON (UBJSON) files using the jdata.save function, or loading JData-formatted data to Python using jdata.load

import jdata as jd
import numpy as np
a={'str':'test','num':1.2,'list':[1.1,[2.1]],'nan':float('nan'),'np':np.arange(1,5,dtype=np.uint8)}
jd.save(a,'test.json')
newdata=jd.load('test.json')
newdata