Converting regions to shapely objects¶
The Shapely Python
package is a generic package for the manipulation and analysis of
geometric objects in the Cartesian plane. Concerning regions in the
cartesian plane, it is more feature-complete, powerful and optimized
The use of Shapely or other Python regions packages that come from the geospatial domain
in Astronomy is rare. However, if you have a complex pixel region analysis task,
you can consider using Shapely. Either use it directly, by defining Shapely regions
via Python code or one of the serialisation formats they support, or by writing
some Python code to convert
astropy-regions objects to Shapely objects.
Here we give one example how to do this: convert a circle to a Shapely object and polygonise it. That’s one nice feature of Shapely, it can polygonise all shapes and do fast polygon-based computations like intersection and union. If you need to do this, that’s a good reason to use Shapely.
import matplotlib.pyplot as plt from regions import PixCoord, CirclePixelRegion # Make an example region region = CirclePixelRegion(center=PixCoord(3, 2), radius=2) # Convert to Shapely from shapely.geometry import Point point = Point(region.center.x, region.center.y) circle = point.buffer(region.radius) # Actually, this is a polygon approximation of the circle! print(circle) # Plot the result x, y = circle.exterior.xy ax = plt.subplot(1, 1, 1) ax.plot(x, y, 'g-')