ComfyUI Node: xyPlot

Class Name

ttN xyPlot

Category
🌏 tinyterra/legacy
Author
TinyTerra (Account age: 675days)
Extension
ComfyUI_tinyterraNodes
Latest Updated
2024-08-16
Github Stars
0.36K

How to Install ComfyUI_tinyterraNodes

Install this extension via the ComfyUI Manager by searching for ComfyUI_tinyterraNodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_tinyterraNodes in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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xyPlot Description

Facilitates creation of XY plots for visualizing data relationships with advanced features for customization and analysis.

xyPlot:

The ttN xyPlot node is designed to facilitate the creation of XY plots, which are graphical representations of data points in a two-dimensional space. This node is particularly useful for visualizing relationships between two variables, making it an essential tool for AI artists who need to analyze and interpret data trends. By leveraging this node, you can generate plots that help in understanding the distribution and correlation of data points, thereby aiding in more informed decision-making and creative processes. The node offers advanced features such as flipping the X and Y axes, customizing grid spacing, and saving individual data points, providing a flexible and powerful plotting solution.

xyPlot Input Parameters:

grid_spacing

This parameter defines the spacing between the grid lines on the plot. It helps in organizing the plot and making it easier to read. The grid spacing can be adjusted to either increase or decrease the density of the grid lines, depending on the level of detail required. There are no specific minimum or maximum values provided, but it is generally advisable to choose a value that balances clarity and detail.

save_individuals

This boolean parameter determines whether individual data points should be saved separately. When set to True, each data point is saved, allowing for more detailed analysis and record-keeping. This can be particularly useful when you need to revisit or further analyze specific data points at a later time. The default value is False.

flip_xy

This boolean parameter allows you to flip the X and Y axes of the plot. When set to True, the X and Y data points are swapped, which can provide a different perspective on the data. This is useful for cases where the relationship between the variables might be better understood when viewed from a different angle. The default value is False.

x_plot

This parameter accepts a list of data points for the X-axis. It defines the horizontal coordinates of the data points on the plot. If not provided, the X-axis will not have any data points, which might result in an incomplete plot. There are no specific constraints on the values, but they should be relevant to the context of the data being plotted.

y_plot

This parameter accepts a list of data points for the Y-axis. It defines the vertical coordinates of the data points on the plot. Similar to x_plot, if not provided, the Y-axis will not have any data points, leading to an incomplete plot. The values should be relevant to the context of the data being plotted.

z_plot

This optional parameter accepts a list of data points for a third dimension, adding depth to the plot. It is useful for creating 3D plots where an additional variable needs to be visualized. If not provided, the plot will remain two-dimensional.

my_unique_id

This parameter is used to uniquely identify the plot, especially when multiple plots are being generated. It helps in distinguishing between different plots and managing them effectively. There are no specific constraints on the value, but it should be unique for each plot.

xyPlot Output Parameters:

xy_plot

The output is a dictionary containing the X, Y, and optionally Z data points, along with the grid spacing and a flag indicating whether individual data points were saved. This output is crucial for generating the actual plot and can be used for further analysis or visualization. The dictionary keys include x_plot, y_plot, z_plot, grid_spacing, and save_individuals.

xyPlot Usage Tips:

  • Adjust the grid_spacing parameter to find a balance between too many and too few grid lines, ensuring the plot is easy to read.
  • Use the save_individuals parameter to keep a record of each data point, which can be useful for detailed analysis or debugging.
  • Experiment with the flip_xy parameter to view the data from different perspectives and gain new insights.
  • Ensure that x_plot and y_plot parameters are provided with relevant data points to generate a meaningful plot.

xyPlot Common Errors and Solutions:

No Valid Plot Types - Reverting to default sampling...

  • Explanation: This error occurs when both the X and Y plot types are set to None, meaning no valid data points are provided for plotting.
  • Solution: Ensure that you provide valid data points for either the x_plot or y_plot parameters, or both, to generate a meaningful plot.

x_plot or y_plot is None

  • Explanation: This error occurs when either the x_plot or y_plot parameters are not provided or are empty.
  • Solution: Make sure to supply a list of data points for both x_plot and y_plot parameters to avoid this error and generate a complete plot.

Invalid grid_spacing value

  • Explanation: This error occurs when the grid_spacing parameter is set to an inappropriate value that makes the plot unreadable.
  • Solution: Adjust the grid_spacing parameter to a value that provides a clear and readable grid on the plot.

xyPlot Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI_tinyterraNodes
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