Method transform_non_affine

lib/matplotlib/transforms.py:1592–1618

Apply only the non-affine part of this transformation. ``transform(values)`` is always equivalent to ``transform_affine(transform_non_affine(values))``. In non-affine transformations, this is generally equivalent to ``transform(values)``. In affine transfo

(self, values)

        return self.get_affine().transform(values)

    def transform_non_affine(self, values):
        """
        Apply only the non-affine part of this transformation.

        ``transform(values)`` is always equivalent to
        ``transform_affine(transform_non_affine(values))``.

        In non-affine transformations, this is generally equivalent to
        ``transform(values)``.  In affine transformations, this is
        always a no-op.

        Parameters
        ----------
        values : array
            The input values as an array of length
            :attr:`~matplotlib.transforms.Transform.input_dims` or
            shape (N, :attr:`~matplotlib.transforms.Transform.input_dims`).

        Returns
        -------
        array
            The output values as an array of length
            :attr:`~matplotlib.transforms.Transform.output_dims` or shape
            (N, :attr:`~matplotlib.transforms.Transform.output_dims`),
            depending on the input.
        """
        return values

    def transform_bbox(self, bbox):
        """