Files
2026-08-11 09:53:42 -04:00

251 lines
7.8 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""
cairocffi.matrix
~~~~~~~~~~~~~~~~
Transformation matrices.
:copyright: Copyright 2013-2019 by Simon Sapin
:license: BSD, see LICENSE for details.
"""
from . import _check_status, cairo, ffi
class Matrix(object):
"""A 2D transformation matrix.
Matrices are used throughout cairo to convert between
different coordinate spaces.
A :class:`Matrix` holds an affine transformation,
such as a scale, rotation, shear, or a combination of these.
The transformation of a point (x,y) is given by::
x_new = xx * x + xy * y + x0
y_new = yx * x + yy * y + y0
The current transformation matrix of a :class:`Context`,
represented as a :class:`Matrix`,
defines the transformation from user-space coordinates
to device-space coordinates.
See :meth:`Context.get_matrix` and :meth:`Context.set_matrix`.
The default values produce an identity matrix.
Matrices can be compared with ``m1 == m2`` and ``m2 != m2``
as well as multiplied with ``m3 = m1 * m2``.
"""
def __init__(self, xx=1, yx=0, xy=0, yy=1, x0=0, y0=0):
self._pointer = ffi.new('cairo_matrix_t *')
cairo.cairo_matrix_init(self._pointer, xx, yx, xy, yy, x0, y0)
@classmethod
def init_rotate(cls, radians):
"""Return a new :class:`Matrix` for a transformation
that rotates by ``radians``.
:type radians: float
:param radians:
Angle of rotation, in radians.
The direction of rotation is defined such that
positive angles rotate in the direction
from the positive X axis toward the positive Y axis.
With the default axis orientation of cairo,
positive angles rotate in a clockwise direction.
"""
result = cls()
cairo.cairo_matrix_init_rotate(result._pointer, radians)
return result
def as_tuple(self):
"""Return all of the matrixs components.
:returns: A ``(xx, yx, xy, yy, x0, y0)`` tuple of floats.
"""
ptr = self._pointer
return (ptr.xx, ptr.yx, ptr.xy, ptr.yy, ptr.x0, ptr.y0)
def copy(self):
"""Return a new copy of this matrix."""
return type(self)(*self.as_tuple())
def __getitem__(self, index):
return getattr(
self._pointer, ('xx', 'yx', 'xy', 'yy', 'x0', 'y0')[index])
def __iter__(self):
return iter(self.as_tuple())
def __eq__(self, other):
return self.as_tuple() == other.as_tuple()
def __ne__(self, other):
return self.as_tuple() != other.as_tuple()
def __repr__(self):
class_ = type(self)
return '%s(%g, %g, %g, %g, %g, %g)' % (
(class_.__name__, *self.as_tuple()))
def multiply(self, other):
"""Multiply with another matrix
and return the result as a new :class:`Matrix` object.
Same as ``self * other``.
"""
res = Matrix()
cairo.cairo_matrix_multiply(
res._pointer, self._pointer, other._pointer)
return res
__mul__ = multiply
def translate(self, tx, ty):
"""Applies a translation by ``tx``, ``ty``
to the transformation in this matrix.
The effect of the new transformation is to
first translate the coordinates by ``tx`` and ``ty``,
then apply the original transformation to the coordinates.
.. note::
This changes the matrix in-place.
:param tx: Amount to translate in the X direction.
:param ty: Amount to translate in the Y direction.
:type tx: float
:type ty: float
"""
cairo.cairo_matrix_translate(self._pointer, tx, ty)
def scale(self, sx, sy=None):
"""Applies scaling by ``sx``, ``sy``
to the transformation in this matrix.
The effect of the new transformation is to
first scale the coordinates by ``sx`` and ``sy``,
then apply the original transformation to the coordinates.
If ``sy`` is omitted, it is the same as ``sx``
so that scaling preserves aspect ratios.
.. note::
This changes the matrix in-place.
:param sx: Scale factor in the X direction.
:param sy: Scale factor in the Y direction.
:type sx: float
:type sy: float
"""
if sy is None:
sy = sx
cairo.cairo_matrix_scale(self._pointer, sx, sy)
def rotate(self, radians):
"""Applies a rotation by ``radians``
to the transformation in this matrix.
The effect of the new transformation is to
first rotate the coordinates by ``radians``,
then apply the original transformation to the coordinates.
.. note::
This changes the matrix in-place.
:type radians: float
:param radians:
Angle of rotation, in radians.
The direction of rotation is defined such that positive angles
rotate in the direction from the positive X axis
toward the positive Y axis.
With the default axis orientation of cairo,
positive angles rotate in a clockwise direction.
"""
cairo.cairo_matrix_rotate(self._pointer, radians)
def invert(self):
"""Changes matrix to be the inverse of its original value.
Not all transformation matrices have inverses;
if the matrix collapses points together (it is degenerate),
then it has no inverse and this function will fail.
.. note::
This changes the matrix in-place.
:raises: :exc:`CairoError` on degenerate matrices.
"""
_check_status(cairo.cairo_matrix_invert(self._pointer))
def inverted(self):
"""Return the inverse of this matrix. See :meth:`invert`.
:raises: :exc:`CairoError` on degenerate matrices.
:returns: A new :class:`Matrix` object.
"""
matrix = self.copy()
matrix.invert()
return matrix
def transform_point(self, x, y):
"""Transforms the point ``(x, y)`` by this matrix.
:param x: X position.
:param y: Y position.
:type x: float
:type y: float
:returns: A ``(new_x, new_y)`` tuple of floats.
"""
xy = ffi.new('double[2]', [x, y])
cairo.cairo_matrix_transform_point(self._pointer, xy + 0, xy + 1)
return tuple(xy)
def transform_distance(self, dx, dy):
"""Transforms the distance vector ``(dx, dy)`` by this matrix.
This is similar to :meth:`transform_point`
except that the translation components of the transformation
are ignored.
The calculation of the returned vector is as follows::
dx2 = dx1 * xx + dy1 * xy
dy2 = dx1 * yx + dy1 * yy
Affine transformations are position invariant,
so the same vector always transforms to the same vector.
If ``(x1, y1)`` transforms to ``(x2, y2)``
then ``(x1 + dx1, y1 + dy1)`` will transform
to ``(x1 + dx2, y1 + dy2)`` for all values of ``x1`` and ``x2``.
:param dx: X component of a distance vector.
:param dy: Y component of a distance vector.
:type dx: float
:type dy: float
:returns: A ``(new_dx, new_dy)`` tuple of floats.
"""
xy = ffi.new('double[2]', [dx, dy])
cairo.cairo_matrix_transform_distance(self._pointer, xy + 0, xy + 1)
return tuple(xy)
def _component_property(name): # noqa: N805
return property(
lambda self: getattr(self._pointer, name),
lambda self, value: setattr(self._pointer, name, value),
doc='Read-write attribute access to a single float component.')
xx = _component_property('xx')
yx = _component_property('yx')
xy = _component_property('xy')
yy = _component_property('yy')
x0 = _component_property('x0')
y0 = _component_property('y0')
del _component_property