XYAny¶
Documentation¶
- Class name:
easy xyAny
- Category:
EasyUse/Logic
- Output node:
False
The easy xyAny
node is designed to facilitate the exploration and manipulation of data points or conditions across two dimensions, X and Y, within a customizable pipeline. It abstracts the complexity of handling various types of inputs and conditions, enabling users to easily plot, modify, or analyze data in a two-dimensional space, tailored to specific needs or experiments.
Input types¶
Required¶
X
- Specifies one of the dimensions in a two-dimensional space, serving as a basis for plotting, modifying, or analyzing data.
- Comfy dtype:
*
- Python dtype:
str
Y
- Specifies the other dimension in a two-dimensional space, complementing X to enable a comprehensive analysis or visualization of data.
- Comfy dtype:
*
- Python dtype:
str
direction
- Determines the orientation or sequence in which data points are processed or plotted, affecting the visualization or analysis outcome.
- Comfy dtype:
COMBO[STRING]
- Python dtype:
str
Output types¶
X
- Comfy dtype:
*
- Outputs data points or conditions along the X axis, reflecting modifications or analyses performed by the node.
- Python dtype:
dict
- Comfy dtype:
Y
- Comfy dtype:
*
- Outputs data points or conditions along the Y axis, complementing the X output for a full two-dimensional perspective.
- Python dtype:
dict
- Comfy dtype:
Usage tips¶
- Infra type:
CPU
- Common nodes: unknown
Source code¶
class xyAny:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"X": (AlwaysEqualProxy("*"), {}),
"Y": (AlwaysEqualProxy("*"), {}),
"direction": (["horizontal", "vertical"], {"default": "horizontal"})
}
}
RETURN_TYPES = (AlwaysEqualProxy("*"), AlwaysEqualProxy("*"))
RETURN_NAMES = ("X", "Y")
INPUT_IS_LIST = True
OUTPUT_IS_LIST = (True, True)
CATEGORY = "EasyUse/Logic"
FUNCTION = "to_xy"
def to_xy(self, X, Y, direction):
new_x = list()
new_y = list()
if direction[0] == "horizontal":
for y in Y:
for x in X:
new_x.append(x)
new_y.append(y)
else:
for x in X:
for y in Y:
new_x.append(x)
new_y.append(y)
return (new_x, new_y)