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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 ranges are estimated automatically and written inline with three significant digits 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 and 3D channel maps over estimated spatial and velocity ranges, with 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

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