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-0.0.5.tar.gz (99.7 kB view details)

Uploaded Source

Built Distribution

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

visualastro-0.0.5-py3-none-any.whl (107.4 kB view details)

Uploaded Python 3

File details

Details for the file visualastro-0.0.5.tar.gz.

File metadata

  • Download URL: visualastro-0.0.5.tar.gz
  • Upload date:
  • Size: 99.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for visualastro-0.0.5.tar.gz
Algorithm Hash digest
SHA256 d390bfb5270f7cecb84bf7a3591d50ea14c4ac5c6bb38b58ba3013eeed794c4e
MD5 33c4db5c5e78bde34bfcfeb456ddac91
BLAKE2b-256 246a56122654b094ee971428346352b556161b7bc5df7d648488f58e9f668fd5

See more details on using hashes here.

File details

Details for the file visualastro-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: visualastro-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 107.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for visualastro-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f7dd32b5c835571cdd8837636007b571fe17af4925acc31a9f13693e1d5fcdce
MD5 a4f0d945d6ea5841d73e03a2b6f03abf
BLAKE2b-256 d2eef30e662f8c3a94b1b40c765f8f690f9a96cfba47efba13cd33cb54231117

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