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"""pyjdata - encode and decode Python data structrues using portable JData formats
This module provides an encoder and a decoder to convert a python/numpy native
data structure into a JData-compatible structure, or decode JData constructs to
restore python native data.
import jdata as jd
jdata = jd.encode(pydata)
newpydata = jd.decode(jdata)
jd.save(jdata,filename)
jdata=jd.load(filename)
The function ``encode`` converts the below python/numpy/pandas data types
into JData compatible dict-based objects
* python dict objects ==> unchanged (JData/JSON objects)
* python string objects ==> unchanged (JData/JSON strings)
* python unicode objects ==> unchanged (JData/JSON strings)
* python numeric objects ==> unchanged (JData/JSON values)
* python list objects ==> unchanged (JData/JSON arrays)
* python tuple objects ==> unchanged (JData/JSON arrays)
* python range objects ==> unchanged (JData/JSON arrays)
* python bytes/bytearray objects ==> unchanged (JData/JSON bytestream)
* python set objects ==> unchanged (JData/JSON arrays)
* python complex numbers and complex arrays ==> JData complex array objects
* numpy.ndarray objects ==> JData array objects
* python tables ==> JData table objects
* pandas.DataFrame objects ==> JData table objects
The JData-encoded data object can then be decoded using ``decode``
to restore the original data types
"""
from .jfile import load, save, show, loadt, savet, loadb, saveb, jext
from .jdata import encode, decode, jdtype, jsonfilter
__version__ = '0.3.6'
__all__ = ['load','save','show','loadt', 'savet', 'loadb', 'saveb','encode', 'decode', 'jdtype','jsonfilter','jext']
__license__ = """Apache license 2.0, Copyright (c) 2019-2020 Qianqian Fang"""
if __name__ == '__main__':
import cmd
cmd.main()
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