Manipulators¶
Stub — to be expanded
Visual data manipulators are explicit, shape-aware transforms you apply to data before
plotting. They live in behaviz.manipulations and share a VisualManipulator contract.
Families¶
| Family | Classes |
|---|---|
| Jitter | UniformJitter, NormalJitter, BeeswarmJitter |
| Smoothing | BoxcarSmooth, GaussianSmooth |
| Normalising | BaselineNormaliser, MinMaxNormaliser, ZScoreNormaliser |
| Binning | CountBinner, MeanBinner, MedianBinner, SumBinner |
| Dodging | (used internally by grouping) |
from behaviz.manipulations import GaussianSmooth, ZScoreNormaliser
y2 = GaussianSmooth(sigma=2).apply(y)
TODO: the shared contract/shape guarantee; chaining; one worked example per family; pull from README §"Visual data manipulators".