plotastrodata can be used mainly to make figures from FITS files, as well as other analyses in astronomy.
Project description
# plotastrodata Python package to make figures from radio astronomical data by astropy and matplotlib.
## Demo and Usage
The file example.py will help to find how to use this package. `bash git clone https://github.com/yusukeaso-astron/plotastrodata cd plotastrodata python example.py ` To keep the package updated, type the command below in the directory plotastrodata, always before you use. `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 in 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) does not yet suppot 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: yaso@kasi.re.kr
## License
“plotastrodata” is under [GNU General Public License Version 3](https://www.gnu.org/licenses/gpl-3.0.html).
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