EasyUse¶

Documentation¶

Class name: easy XYInputs: PositiveCondList
Category: EasyUse/XY Inputs
Output node: False

The XYplot_Positive_Cond_List node is designed to process a list of positive conditions, transforming them into a structured format suitable for plotting or further analysis. It focuses on identifying and organizing the conditions based on their positive attributes, facilitating easy visualization or manipulation of data points in a 'positive' context.

Input types¶

Required¶

positive
- The 'positive' input accepts a list of conditions, each representing a positive attribute or criterion. This input is crucial for the node's operation, as it determines the conditions that will be processed and structured for output.
- Comfy dtype: CONDITIONING
- Python dtype: List[str]

Output types¶

X or Y
- Comfy dtype: X_Y
- Outputs a structured representation of the positive conditions, including their indices and corresponding conditions, ready for plotting or analysis.
- Python dtype: Tuple[Dict[str, List[str]], ...]

Usage tips¶

Infra type: CPU
Common nodes: unknown

Source code¶

class XYplot_Positive_Cond_List:
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "positive": ("CONDITIONING",),
            }
        }

    INPUT_IS_LIST = True
    RETURN_TYPES = ("X_Y",)
    RETURN_NAMES = ("X or Y",)
    FUNCTION = "xy_value"
    CATEGORY = "EasyUse/XY Inputs"

    def xy_value(self, positive):
        axis = "advanced: Pos Condition"
        values = []
        cond = []
        for index, c in enumerate(positive):
            values.append(str(index))
            cond.append(c)

        return ({"axis": axis, "values": values, "cond": cond},) if values is not None else (None,)