This is a small python package that simply gets an image of a given date's moon phase. It uses numpy, opencv and Ernie Wright's moon visualizations from the Dial-a-Moon project at Nasa Visualization Studio.
This package doesn't do much other than download an image from a predefined source, but I hope it's useful for someone else out there.
At time of publishing, this package can access any of the moon visualizations from 2011-2020. I suppose the way it's set up now, it'll need an update before the end of 2020, and perhaps I'll find a better way to set it up by then.
To install this package, just run
pip install moon
Currently, this package will return a numpy array representing the lunar phase, as well as some json of the lunar stats from the Dial-a-Moon Nasa site. This array is usable as an image using openCV, or can be saved to disk as a .jpg file.
You can test it out using terminal:
from moon.terminal_ui import TerminalUi
ui = TerminalUi()
ui.set_moon_image() #defaults to today's date
ui.show()
You can alternately test it out using Jupyter notebooks:
from moon.jupyter_ui import JupyterUi
ui = JupyterUi()
ui.set_moon_image() #defaults to today's date
ui.show()
To just use it in a project, you can use it like this:
from moon.dialamoon import Moon
moon = Moon()
moon.set_moon_phase()
and access the image array itself with
moon.image
At the moment, there isn't any built in method for converting the numpy array to a Pillow image. I had this set up with Pillow originally, but it fell by the wayside when I moved over to playing around with openCV.
Please feel free to post bugs, suggestions and feature requests on this repo. Through some trial and error, I think I finally have the package as simple as possible, but I'm open to evolution. This will be my first time creating and maintaining a python package, and I am receptive to any tips or PRs as far as best-practices go.
moon ascii art courtesy of jsg
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