labs.datasets.transforms.transform¶
Module: labs.datasets.transforms.transform
¶
Inheritance diagram for nipy.labs.datasets.transforms.transform
:

The base Transform class.
This class defines the Transform interface and can be subclassed to define more clever composition logic.
Classes¶
Transform
¶
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class
nipy.labs.datasets.transforms.transform.
Transform
(input_space, output_space, mapping=None, inverse_mapping=None)¶ Bases:
object
A transform is a representation of a transformation from one 3D space to another. It is composed of a coordinate mapping, or its inverse, as well as the name of the input and output spaces.
The Transform class is the base class for transformations and defines the transform object API.
Attributes
inverse_mapping
mapping
Methods
composed_with
(transform)Returns a new transform obtained by composing this transform with the one provided. get_inverse
()Return the inverse transform. -
__init__
(input_space, output_space, mapping=None, inverse_mapping=None)¶ Create a new transform object.
Parameters: mapping: callable f(x, y, z) :
Callable mapping coordinates from the input space to the output space. It should take 3 numbers or arrays, and return 3 numbers or arrays of the same shape.
inverse_mapping: callable f(x, y, z) :
Callable mapping coordinates from the output space to the input space. It should take 3 numbers or arrays, and return 3 numbers or arrays of the same shape.
input_space: string :
Name of the input space
output_space: string :
Name of the output space
Notes
You need to supply either the mapping or the inverse mapping.
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composed_with
(transform)¶ Returns a new transform obtained by composing this transform with the one provided.
Parameters: transform: nipy.core.transforms.transform object :
The transform to compose with.
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get_inverse
()¶ Return the inverse transform.
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input_space
= ''¶
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inverse_mapping
= None¶
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mapping
= None¶
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output_space
= ''¶
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