XY Input: Refiner On/Off

Documentation

• Class name: XY Input: Refiner On_Off
• Category: Efficiency Nodes/XY Inputs
• Output node: False

The node is designed to refine the XY plot inputs based on a specified percentage, enabling dynamic adjustment of the refinement process to optimize efficiency and accuracy in data visualization or processing tasks.

Input types

Required

• refine_at_percent
  • Specifies the percentage at which the refinement process should be initiated, allowing for precise control over when the refinement adjustments are applied to the XY plot.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• X or Y
  • Comfy dtype: XY
  • Outputs a tuple containing the type of refinement ('Refiner On/Off') and the corresponding XY values after applying the refinement at the specified percentage. This output aligns with the expected 'X or Y' designation, indicating either X or Y values are refined.
  • Python dtype: Tuple[str, List[float]]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class TSC_XYplot_Refiner_OnOff:

    @classmethod
    def INPUT_TYPES(cls):
        return {"required": {
                    "refine_at_percent": ("FLOAT",{"default": 0.80, "min": 0.00, "max": 1.00, "step": 0.01})},
        }

    RETURN_TYPES = ("XY",)
    RETURN_NAMES = ("X or Y",)
    FUNCTION = "xy_value"
    CATEGORY = "Efficiency Nodes/XY Inputs"

    def xy_value(self, refine_at_percent):
        xy_type = "Refiner On/Off"
        xy_value = [refine_at_percent, 1]
        return ((xy_type, xy_value),)