lineclipping.f90 Cohen-Sutherland line clipping algorithm for massively parallel coarray modern Fortran. Input scalars or arrays, output intersections or NaN if no intersection.

lineClipping.py Cohen-Sutherland line clipping algorithm for Python. Input scalars, output intersection length, or None if no intersection.

Julia line clipping is at https://github.com/scivision/lineclipping-julia

To install the latest release:

pip install pylineclip

If you want to use the Fortran Cohen-Sutherland line clipping modules directly (optional):

meson build

meson test -C build

The main difference with textbook implementations is that I return a sentinel value (NaN, None, nothing) if there's no intersection of line with box.

import pylineclip.lineclipping as lc

x3,y3,x4,y4 = lc.cohensutherland((xmin, ymax, xmax, ymin, x1, y1, x2, y2)

If no intersection, (None, None, None, None) is returned.

lineclipping.f90 has two subroutines. Pick Ccohensutherland if you're calling from C/C++/Python, which cannot tolerate assummed-shape arrays. It's a slim wrapper to cohensutherland which is elemental (can handle scalar or any rank array).

Fortran programs will simply use

use lineclipping
call cohensutherland(xmin,ymax,xmax,ymin,x1,y1,x2,y2)

The arguments are:

INPUTS
------
xmin,ymax,xmax,ymin:  upper left and lower right corners of box (pixel coordinates)

INOUT
-----
x1,y1,x2,y2:
in - endpoints of line
out - intersection points with box. If no intersection, all NaN