jparse - A JSON-like Object Parsing Tool for Python

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This tool is created to make retrieving data from http response.json() or json library json.loads() easy. It helps to flatten, filter, select, update, and sort such objects, finally to_df (pandas.DataFrame format).

Simple Case

>>> from jparse import JParser
>>> jp = JParser()
>>> TEST_CASE1 = [{'A1': 1, 'A2': 2, 'A3': 3},
                  {'A1': [4, 5, 6], 'A2': 7, 'A3': 'x'}]
>>> print(jp.flatten(TEST_CASE1))
defaultdict(None, {'0_A1': 1,
                   '0_A2': 2,
                   '0_A3': 3,
                   '1_A1_0': 4,
                   '1_A1_1': 5,
                   '1_A1_2': 6,
                   '1_A2': 7,
                   '1_A3': 'x'})

Dependencies

• Pandas

Installation

pip install jparse

or

pip install git+https://github.com/elisong/jparse.git#egg=jparse

Document

Document here

Changelog

v0.1.8 - 2018-08-18

• Change JParser.to_df by adding sort before to DataFrame

v0.1.7 - 2018-08-18

• Remove collections.dafaultdict from japrse.py

v0.1.6 - 2018-08-18

• Change pd.DataFrame() to pd.DataFrame.from_records() for JParser.to_df()
• Change assert_frame_equal import for tests/test_to_df.py

v0.1.5 - 2018-08-18

• Changed remove JParser.to_df() reset_index()

v0.1.4 - 2018-08-15

• Changed license.

v0.1.3 - 2018-08-13

• Added project.