matrix : list of list
The transformation matrix.
Returns
-------
Polygon
The transformed copy.
"""
polygon = self.copy()
polygon.transform(matrix)
return polygon
# ==============================================================================
# Main
# ==============================================================================
if __name__ == '__main__':
from compas_plotters import Plotter
polygon = Polygon([[1, 1, 0], [0, 1, 0], [0, 0, 0], [1, 0, 0]])
for point in polygon.points:
print(point[0:2])
plotter = Plotter(figsize=(10, 7))
plotter.draw_polygons([{'points': polygon.points}])
plotter.show()
from compas_plotters import Plotter
plotter = Plotter(figsize=(10, 7))
points = [[0, 0, 0], [1.0, 0, 0], [1.0, 1.0, 0], [0.5, 0.0, 0],
[0, 1.0, 0]]
polygon = points[::-1]
print(polygon)
print(area_polygon(polygon))
n = normal_polygon(polygon, unitized=False)
print(n)
if n[2] > 0:
color = '#ff0000'
else:
color = '#0000ff'
polygons = [{'points': polygon}]
points = [{
'pos': centroid_points(polygon),
'radius': 0.025,
'facecolor': color
}]
plotter.draw_polygons(polygons)
plotter.draw_points(points)
plotter.show()
if __name__ == "__main__":
# Test task 1.1
u = [10, 10.0, 0.0]
v = [-10.0, 10.0, 0.0]
i, j, k = orthonormals_from_two_vectors(u, v)
print(i, j, k)
# Test task 1.2
plotter = Plotter()
my_polygon = [[0.0, 0.0], [1.0, 0.0], [1.0, 0.5], [0.5, 2.0], [0.0, 1.0]]
plotter.draw_polygons([{'points': my_polygon}])
plotter.show()
print('The area of the polygon is: ', convex_polygon_area(my_polygon))
print('The area of the polygon using compas is: ',
convex_polygon_area_compas(my_polygon))
# Test task 1.3
arr_1 = [[2.0, 0.0, 0.0], [1.0, 0.0, 1.0], [1.0, 0.5, 0.0]]
arr_2 = [[0.5, 3.0, 0.0], [1.0, 0.0, 0.0], [1.0, 5.0, 2.0]]
## pure python
print(cross_array_of_vectors_py(arr_1, arr_2))
## using numpy
print(cross_array_of_vectors_np(arr_1, arr_2))