plotastrodata 1.0.6

plotastrodata is a tool for astronomers to create figures from FITS files and perform fundamental data analyses with ease.

# plotastrodata Python package to make figures from radio astronomical data by astropy and matplotlib.

## Demo and Usage For the installation, conda and are available. `bash conda install conda-forge::plotastrodata ` or `bash pip install plotastrodata ` The following is the way to install plotastrodata manually. The file example.py will help you find out how to use this package. `bash git clone https://github.com/yusukeaso-astron/plotastrodata cd plotastrodata python example.py ` To keep the package updated, always type the command below in the directory plotastrodata before you use it. `bash git pull ` Also, setting the path in .bashrc (or .zshrc, etc.) will be useful. `bash export PYTHONPATH=${PYTHONPATH}:/YOUR_PATH_TO/plotastrodata ` Or directly in your script, `Python import sys sys.path.append( "/YOUR_PATH_TO/plotastrodata" ) ` The Sphinx html document is available from docs/_build/index.html or [readthedocs](https://plotastrodata.readthedocs.io/en/latest/).

## Features

plotastrodata can do the following things. * Make 3D channel maps, 3D rotatable html cube, or 2D images including position-velocity diagrams. * Color scale can be linear, log, and asinh. * Make a figure of line profiles with Gaussian fitting. * Plot images to externally given fig and ax (2D images only). * Combine color, contour, segment, and RGB maps using images with different spatial grids. * Input fits files or 2D/3D numpy arrays. * Select the R.A.-Dec. style or the offset style as the x/y tick labels. * Fill channel maps with a 2D image. * Add line, arrow, ellipse, rectangle, text, and marker in specified channels. * Use original arguments of matplotlib (pcolormesh, contour, quiver, plot, text, Ellipse, Rectangle). * Other functions for plotting line profiles and a spatial 1D slice. * example_advanced.py includes how to make a movie of channel maps. * There are other utilities for Fourier transform and fitting.

## Requirement

• astropy

• corner (only for fitting)

• dynesty (only for fitting)

• ffmpeg (only for movie)

• matplotlib

• multiprocess (only for fitting)

• numpy

• pillow (only for RGB figures)

• plotly (only for html cube)

• ptemcee (only for fitting)

• scikit-image (only for html cube)

• scipy

• tqdm (only for fitting)

## Installation

Download from https://github.com/yusukeaso-astron/plotastrodata or git clone. `bash git clone https://github.com/yusukeaso-astron/plotastrodata `

## Note

• For 3D data, a 1D velocity array or a FITS file with a velocity axis must be given to set up channels on each page.

• For 2D/3D data, the spatial center can be read from a FITS file or manually given.

• len(v)=1 (default) means to make a 2D figure.

• Spatial lengths are in the unit of arcsec, or au if dist (!= 1) is given.

• Angles are in the unit of degree.

• For region, line, arrow, label, and marker, a single input can be treated without a list, e.g., anglelist=60, as well as anglelist=[60].

• Each element of poslist supposes a text coordinate like ‘01h23m45.6s 01d23m45.6s’ or a list of relative x and y like [0.2, 0.3] (0 is left or bottom, 1 is right or top).

• Parameters for original methods in matplotlib.axes.Axes can be used as kwargs; see the default kwargs0 for reference.

• Position-velocity diagrams (pv=True) do not yet support region, line, arrow, and segment because the units of abscissa and ordinate are different.

## Author

• Name: Yusuke Aso

• Affiliation: Korea Astronomy and Space Science Institute

• E-mail: [e-mail]

## License

“plotastrodata” is under [GNU General Public License Version 3](https://www.gnu.org/licenses/gpl-3.0.html).