class_docstr: Apply either a uniform or normally sampled random jitter to data.
  
      
class_docstr_tok: ["Apply","either","a","uniform","or","normally","sampled","random","jitter","to","data","."]
code: def __init__(self, *args, **kwargs) -> None:
      super().__init__(*args, **kwargs)
  
imports: from __future__ import annotations
  import logging
  from ..core.enums import JitterRandomDistribution, StepMode
  from ..core.has_props import abstract
  from ..core.properties import AnyRef, Bool, Dict, Either, Enum, Float, Instance, Nullable, Required, Seq, String
  from ..model import Model
  from .sources import ColumnarDataSource
label_desc: Use image node_id 1 to create a new Jitter object from inherited base classes: Transform with example: obj = Jitter()