Skip to main content

plotastrodata

Python package to make figures from radio astronomical data by astropy and matplotlib. The API, examples, and gallery are available in readthedocs. The PDF manual is available here.

Highlights

  • Read, write, and process astronomical FITS images, spectral cubes, position-velocity diagrams, and NumPy arrays, including WCS coordinates, spectral axes, beam information, and brightness-temperature conversion.
  • Create 2D maps, channel maps, position-velocity diagrams, RGB composites, line profiles, spatial slices, and interactive 3D isosurface visualizations.
  • Overlay color, contour, polarization-vector, and RGB data from different spatial grids, with astronomical coordinates, beams, scale bars, regions, markers, and other annotations.
  • Prepare data through trimming, interpolation, binning, masking, centering, rotation, deprojection, beam circularization, and profile extraction.
  • Estimate image noise, including support for primary-beam-corrected data.
  • Fit Gaussian models to line profiles and two-dimensional image components.
  • Use supporting tools for coordinate and line-of-sight transformations, centered Fourier transforms and visibility sampling, and Bayesian or grid-based parameter estimation.

Installation

Released version

Install from conda-forge:

conda install conda-forge::plotastrodata

or from PyPI:

pip install plotastrodata

Development version from GitHub

Clone the repository to install the latest development version, which may include changes not yet available in the published releases:

git clone https://github.com/yusukeaso-astron/plotastrodata
(cd plotastrodata)
(python -m pip install .)

To update the development version, run the following commands in the cloned repository:

git pull
(python -m pip install --upgrade .)

Demo and Usage

The repository includes example.py, which demonstrates the main plotting and analysis features. After cloning the repository and installing the package, run:

python example.py

More examples and the complete API reference are available in the online documentation.

Generate plotting scripts

from plotastrodata.script_utils import generate_image_script

script = generate_image_script(
    "image.fits", output="image.py",
)

Review the inline values, then run python image.py. The script uses existing library APIs to visualize a hist-pbcor noise fit, fit a 2D Gaussian and report its sky center and east/north uncertainties, and plot a logarithmic image with contours, a beam, and RA/Dec axes. It saves separate noise and image PNGs. Noise estimation uses the full image. Fitting and plotting use a centered field whose width is one quarter of the estimated valid image width. The estimated rmax is written inline for editing. For a spectral cube, use generate_cube_script("cube.fits", output="cube.py") from the same module. It generates an edge-channel noise visualization, a flux-integrated line profile over the spatial quarter-size, and 3D channel maps at the intrinsic channel spacing. The flux profile assumes Jy/beam data with beam metadata. Both generators return an absolute pathlib.Path and write the script without executing it. See the script-generation guide.

Requirement

  • Python >= 3.11
  • astropy >= 7.2
  • corner (only for fitting)
  • dynesty (only for fitting)
  • emcee >= 3.1.5 (only for fitting)
  • ffmpeg (only for movie)
  • matplotlib
  • numpy >= 2.0
  • pillow (only for RGB figures)
  • plotly (only for html cube)
  • ptemcee (only for fitting)
  • pydantic >= 2
  • scikit-image (only for html cube)
  • scipy
  • tqdm (only for fitting)

Conventions and Limitations

See Conventions and usage notes for data formats, coordinate and angle conventions, runtime types, input validation, and usage limitations.

Author

  • Name: Yusuke Aso
  • Affiliation: Korea Astronomy and Space Science Institute
  • E-mail: yaso@kasi.re.kr

License

"plotastrodata" is under GNU General Public License Version 3.

Metadata

Release files for plotastrodata 1.12.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for plotastrodata 1.12.0
File Size Uploaded Provenance
plotastrodata-1.12.0.tar.gz 106.5 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for plotastrodata 1.12.0
File Interpreter ABI Platform
plotastrodata-1.12.0-py3-none-any.whl Python 3 none any Details

Total release size: 218.5 kB

Release files / plotastrodata-1.12.0.tar.gz

Download URL plotastrodata-1.12.0.tar.gz
Size 106.5 kB
Tags Source
SHA-256 checksum
How to use checksums
cbba6ee7870c1bb2c10686373af434b38ba833ffac4e689447f6c387a0c448d8
BLAKE2b-256 checksum
How to use checksums
26e158c6daad0e4a7a4fbb7610b2aaf6a844be726fdfa1b31a60d030d78d4169
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Release files / plotastrodata-1.12.0-py3-none-any.whl

Download URL plotastrodata-1.12.0-py3-none-any.whl
Size 111.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
38b759f156320bcfa2e51552ce9715fec143cca2afece55a31f4b8e840ccaa9d
BLAKE2b-256 checksum
How to use checksums
239eb6420943cc8c67b10d7c1afe0aecc69d1113b99e6d37089078c3d52a55d6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Security for plotastrodata 1.12.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

1.12.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page