Skip to main content

Astro data analysis and plotting package

Project description

 /$$    /$$ /$$                               /$$  /$$$$$$              /$$                        
| $$   | $$|__/                              | $$ /$$__  $$            | $$                        
| $$   | $$ /$$  /$$$$$$$ /$$   /$$  /$$$$$$ | $$| $$  \ $$  /$$$$$$$ /$$$$$$    /$$$$$$   /$$$$$$ 
|  $$ / $$/| $$ /$$_____/| $$  | $$ |____  $$| $$| $$$$$$$$ /$$_____/|_  $$_/   /$$__  $$ /$$__  $$
 \  $$ $$/ | $$|  $$$$$$ | $$  | $$  /$$$$$$$| $$| $$__  $$|  $$$$$$   | $$    | $$  \__/| $$  \ $$
  \  $$$/  | $$ \____  $$| $$  | $$ /$$__  $$| $$| $$  | $$ \____  $$  | $$ /$$| $$      | $$  | $$
   \  $/   | $$ /$$$$$$$/|  $$$$$$/|  $$$$$$$| $$| $$  | $$ /$$$$$$$/  |  $$$$/| $$      |  $$$$$$/
    \_/    |__/|_______/  \______/  \_______/|__/|__/  |__/|_______/    \___/  |__/       \______/ 

VisualAstro

visualastro is an astrophysical visualization system with convenient functions for easy visualization of common astronomical data. The package is developed with ease of use in mind, and making publication ready plots.

Compatible Data

  • 2D images
  • 3D spectral cubes
  • 1D spectra with gaussian fitting tools

Features

  • Simple, high-level wrapper functions for common astrophysical plots
  • Custom matplotlib style sheets optimized for publication-quality figures
  • Full compatibility with WCS, FITS

Installation

You can install visualastro via pip:

pip install visualastro

Documentation

The full documentation can be found on github at https://github.com/elkogerville/VisualAstro

Dependencies

VisualAstro requires: astropy, matplotlib, scipy, numba, regions, spectral-cube, specutils, and tqdm.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

visualastro-0.0.7.tar.gz (111.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

visualastro-0.0.7-py3-none-any.whl (120.7 kB view details)

Uploaded Python 3

File details

Details for the file visualastro-0.0.7.tar.gz.

File metadata

  • Download URL: visualastro-0.0.7.tar.gz
  • Upload date:
  • Size: 111.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for visualastro-0.0.7.tar.gz
Algorithm Hash digest
SHA256 3172fd8efa36fd6b8cdfe577f922b74115050e594f4e6d30efbbb5c7bb8cfc4f
MD5 721ffd294fcc580843f9aaa4975a036e
BLAKE2b-256 cdc70f99975b4edb4758521b87d2d38dd5dba724df0c7ace61214088aa32f97a

See more details on using hashes here.

File details

Details for the file visualastro-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: visualastro-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 120.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for visualastro-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 8c402f0c7e9ebcc324b5d5689a0d66b0dcbb8a8f2ec41bd8f1662fa362f48332
MD5 632bee6857d31768004c0dd21057a0a2
BLAKE2b-256 8b89060f33bed675f32a69bea202bcbbf7f39d34107083513ef4f1fc69a69375

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page