spatialdata.transformations.Affine#

class spatialdata.transformations.Affine(matrix, input_axes, output_axes)#

Methods table#

`compose_with`(transformations)	rtype: `BaseTransformation`
`from_ngff`(t)	rtype: `BaseTransformation`
`inverse`()	rtype: `BaseTransformation`
`to_affine`(input_axes, output_axes)	rtype: `Affine`
`to_affine_matrix`(input_axes, output_axes)	rtype: `ndarray`[`Any`, `dtype`[`float64`]]
`to_ngff`(input_axes, output_axes[, unit, ...])	rtype: `NgffBaseTransformation`
`validate_axes`(axes)	Validate the axes.

Affine.compose_with(transformations)#

classmethod Affine.from_ngff(t)#

Affine.inverse()#

Affine.to_affine(input_axes, output_axes)#

Affine.to_affine_matrix(input_axes, output_axes)#

Affine.to_ngff(input_axes, output_axes, unit=None, output_coordinate_system_name=None)#

static Affine.validate_axes(axes)#

Validate the axes.

This function is to allow to call validate_axes() from this file in multiple places while avoiding circular imports.