cortex.dataset.Vertex.random¶
- classmethod Vertex.random(subject: str, random_type: Literal['low_frequency', 'uniform'] = 'low_frequency', smooth_factor: float = 40, **kwargs) Self¶
Create a random-valued VertexData for the given subject. Random values are from gaussian distribution with mean 0, s.d. 1. Often useful for testing purposes.
- Parameters:
- subjectstr
Subject identifier. Must exist in the pycortex database.
- random_typestr, optional
type of random data to use. Default: low_frequency. One of (‘low_frequency’, ‘uniform’) ‘low_frequency’ yields blobby, brain-like data ‘uniform’ yields uniform random noise.
- smooth_factorfloat, optional
Only used when random_type is ‘low_frequency’. Amount of smoothing to apply to the underlying random data; larger values smooth more. Passed as factor to polyutils.Surface.smooth.
- **kwargs
Other keyword arguments are passed to the init function for this class.
- Returns:
- VertexData subclass
A VertexData subclass object with random data.