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-0.1.0.tar.gz (129.5 kB view details)

Uploaded Source

Built Distribution

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

visualastro-0.1.0-py3-none-any.whl (138.9 kB view details)

Uploaded Python 3

File details

Details for the file visualastro-0.1.0.tar.gz.

File metadata

  • Download URL: visualastro-0.1.0.tar.gz
  • Upload date:
  • Size: 129.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for visualastro-0.1.0.tar.gz
Algorithm Hash digest
SHA256 64367310f8a0444179a92891641853cb34805492b79f66ba62b1aa83c500487a
MD5 74871886552dfc165bb9c435753ac5cd
BLAKE2b-256 692919212ee3a94705db41ddc3f1e5a1671dcefed5eb4b10946faeddcecb98b5

See more details on using hashes here.

File details

Details for the file visualastro-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: visualastro-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 138.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for visualastro-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 432f20c0dcc24ef7b06a77adbbf1e5b3e8926c510a13fbe90b38246b866a89c2
MD5 162ab5dca83f87c908fd3271a9e38f1b
BLAKE2b-256 675f2c7a340288e0707e92468dd1b8a467e0c4e9c6f0ad8501abde88f2b3ba21

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