Py5Shape.apply_matrix()
Contents
Py5Shape.apply_matrix()¶
Apply a transformation matrix to a Py5Shape
object.
Examples¶
1 2 3 4 5 6 7 8 9 10 11 12 | def setup():
global s
s = py5.create_shape(py5.RECT, -40, -40, 80, 80)
def draw():
py5.background(255)
if py5.is_mouse_pressed:
s.apply_matrix(0.99, 0, 0, 0, 0.99, 0)
else:
s.reset_matrix()
py5.shape(s, py5.width / 2, py5.height / 2)
|
Description¶
Apply a transformation matrix to a Py5Shape
object. This can be used to scale, rotate, and translate a shape with one call.
Making productive use of this method requires some knowledge of 2D or 3D transformation matrices, and perhaps some knowledge of Processing’s source code.
Transformations are cummulative and therefore will be applied on top of existing transformations. Use Py5Shape.reset_matrix() to set the transformation matrix to the identity matrix.
Underlying Processing method: PShape.applyMatrix
Syntax¶
apply_matrix(n00: float, n01: float, n02: float, n03: float, n10: float, n11: float, n12: float, n13: float, n20: float, n21: float, n22: float, n23: float, n30: float, n31: float, n32: float, n33: float, /) -> None
apply_matrix(n00: float, n01: float, n02: float, n10: float, n11: float, n12: float, /) -> None
apply_matrix(source: npt.NDArray[np.floating], /) -> None
Parameters¶
n00: float - numbers which define the 4x4 matrix to be multiplied
n01: float - numbers which define the 4x4 matrix to be multiplied
n02: float - numbers which define the 4x4 matrix to be multiplied
n03: float - numbers which define the 4x4 matrix to be multiplied
n10: float - numbers which define the 4x4 matrix to be multiplied
n11: float - numbers which define the 4x4 matrix to be multiplied
n12: float - numbers which define the 4x4 matrix to be multiplied
n13: float - numbers which define the 4x4 matrix to be multiplied
n20: float - numbers which define the 4x4 matrix to be multiplied
n21: float - numbers which define the 4x4 matrix to be multiplied
n22: float - numbers which define the 4x4 matrix to be multiplied
n23: float - numbers which define the 4x4 matrix to be multiplied
n30: float - numbers which define the 4x4 matrix to be multiplied
n31: float - numbers which define the 4x4 matrix to be multiplied
n32: float - numbers which define the 4x4 matrix to be multiplied
n33: float - numbers which define the 4x4 matrix to be multiplied
source: npt.NDArray[np.floating] - transformation matrix with a shape of 2x3 for 2D transforms or 4x4 for 3D transforms
Updated on February 26, 2022 13:22:44pm UTC