文件列表:

LICENSE (1070, 2021-12-28)
MANIFEST.in (59, 2021-12-28)
dat (0, 2021-12-28)
dat\dictionary.json (969, 2021-12-28)
dat\list.json (435, 2021-12-28)
dat\nested.json (1446, 2021-12-28)
img (0, 2021-12-28)
img\centos.PNG (32145, 2021-12-28)
img\history.png (55552, 2021-12-28)
img\icon.png (31494, 2021-12-28)
img\mac.png (37376, 2021-12-28)
img\ubuntu.png (19614, 2021-12-28)
img\windows.png (10844, 2021-12-28)
pyjsonviewer (0, 2021-12-28)
pyjsonviewer\CHANGELOG.md (1887, 2021-12-28)
pyjsonviewer\VERSION (6, 2021-12-28)
pyjsonviewer\__init__.py (35, 2021-12-28)
pyjsonviewer\__main__.py (81, 2021-12-28)
pyjsonviewer\bump-version.sh (3396, 2021-12-28)
pyjsonviewer\icon.png (41345, 2021-12-28)
pyjsonviewer\pyjsonviewer.py (11593, 2021-12-28)
sample.json (969, 2021-12-28)
setup.py (1768, 2021-12-28)
tests (0, 2021-12-28)
tests\test_pyjsonviewer.py (1606, 2021-12-28)

# PyJSONViewer A JSON file data viewer using pure python [](https://github.com/AtsushiSakai/PyJSONViewer/actions/workflows/CI.yml) [](https://pepy.tech/project/pyjsonviewer) [](https://pepy.tech/project/pyjsonviewer) [](https://pepy.tech/project/pyjsonviewer) # Gallery - Mac OS  - Windows10  - Ubuntu  # What is this? This is a JSON file data viewer based on python. It only uses built-in libraries of python (tkinter, json). Features: 1. Minimum dependency. 2. Multi-platform (Mac, Windows, Linux). 3. Easy to use. # Requirements - Python 3.7 or higher # Download >$ pip install PyJSONViewer or download as zip. - [PyJSONViewer · PyPI](https://pypi.org/project/PyJSONViewer/) # How to use ## Select JSON file with CUI. 1. Run pyjsonviewer with -f option and the path to a JSON file: > $ pyjsonviewer -f path\_to\_json\_file/sample.json 2. JSON data tree will be shown. ## Select JSON file with GUI. 1. Run pyjsonviewer > $ pyjsonviewer 2. File-\>Open and then select json file. 3. JSON data tree will be shown. You can set initial directory: > $ pyjsonviewer -d path\_to\_json\_file\_dir ## Select JSON file from history. 1. Run pyjsonviewer.py 2. File-\>"Open from history" and then double click a json file path from the list.  3. JSON data tree will be shown. ## Select JSON file with drag and drop. 1. Run pyjsonviewer.py with the option -o > $ python pyjsonviewer.py -o path\_to\_json\_file\_dir 2. File browser is shown. 3. You can drag and drop a JSON file to the file browser. ## Menu bar function - Expand all items: Tools -> Expand all - Collapse all items: Tools -> Collapse all - Show version: Help -> About - Show github page: Help -> GitHub page - Show release note: Help -> Release note ## Inside python code ### View json file ``` import pyjsonviewer pyjsonviewer.view_data(json_file="dat/list.json") ``` JSON data tree will be shown. ### View json object ``` import pyjsonviewer json_object = {"a":[1,2,3], "b":"test"} pyjsonviewer.view_data(json_data=json_object) ``` JSON data tree will be shown. ## Vimrc setting If you are a vim user, you can set this command in your vimrc. "JSON format function! JsonFormat() %!python -m json.tool endfunction command! JsonFormat :call JsonFormat() "JSON viewer function! JsonViewer() "%!python -m pyjsonviewer -f % > /dev/null let filename = expand('%') let s:job = job_start( \ ["/bin/sh", "-c", "python -m pyjsonviewer -f".filename],{}) endfunction command! JsonViewer :call JsonViewer() When you are editing a json file with vim, you can open it using PyJSONViewer with >: JSONViewer() You can also format json file with >: JSONFormat() # Open a link with a browser If a URL is included in a json file, you can open it with a browser with double click the URL. # License MIT # Author - [Atsushi Sakai](https://github.com/AtsushiSakai/) ([@Atsushi_twi](https://twitter.com/Atsushi_twi))

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