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Welcome to the PyViewer wiki!

Introduction

This is a CUI/TUI tool to view any kind of packaged, archived, or binary files made by Python.

Usage

usage: pyviewer [-h]
                [-t {hdf5,pickle,numpy,np_pickle,tar,zip,sqlite3,raw_image,jupyter,xpm}]
                file

show the constitution of a file. default support file types ... hdf5, pickle,
numpy, np_pickle, tar, zip, sqlite3, raw_image, jupyter, xpm

positional arguments:
  file                  input file

options:
  -h, --help            show this help message and exit
  -t {hdf5,pickle,numpy,np_pickle,tar,zip,sqlite3,raw_image,jupyter,xpm}, --type {hdf5,pickle,numpy,np_pickle,tar,zip,sqlite3,raw_image,jupyter,xpm}
                        specify the file type. "pyviewer help -t TYPE" will
                        show the detailed help.

To see the detailed help of each type, type 'pyviewer help -t TYPE'. PyViewer
has other some subcommands, 'pyviewer update' updates this command, 'pyviewer
config_list' shows the current optional configuration.

Requirements

The basic process of this software is designed to work with standard libraries of recent Python 3.
To show some kinds of files, external libraries are required.

e.g.)

• numpy for numpy, xpm, np_pickle
• h5py for hdf5
• rawpy for raw_image

The following libraries are not always necessary but are useful if available.

• numpy for hdf5
• tabulate for sqlite3

To show images, some imaging-related libraries (e.g. PIL (Pillow), matplotlib or OpenCV) or shell commands (e.g. "open" in macOS) are required.

Installation

I have a one-line installer.

curl https://raw.githubusercontent.com/MeF0504/pyviewer/main/installer.py | python

or in Windows OS,

curl.exe https://raw.githubusercontent.com/MeF0504/pyviewer/main/installer.py | python

By default, this script installs the PyViewer repository in ~/.config/pyviewer/src. If you want to specify the install path, please do

python -c "$(curl https://raw.githubusercontent.com/MeF0504/pyviewer/main/installer.py)" path/to/install