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Facilitates creation of XY plots for visualizing data relationships with advanced features for customization and analysis.
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.
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.
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
.
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
.
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.
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.
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.
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.
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
.
grid_spacing
parameter to find a balance between too many and too few grid lines, ensuring the plot is easy to read.save_individuals
parameter to keep a record of each data point, which can be useful for detailed analysis or debugging.flip_xy
parameter to view the data from different perspectives and gain new insights.x_plot
and y_plot
parameters are provided with relevant data points to generate a meaningful plot.None
, meaning no valid data points are provided for plotting.x_plot
or y_plot
parameters, or both, to generate a meaningful plot.x_plot
or y_plot
parameters are not provided or are empty.x_plot
and y_plot
parameters to avoid this error and generate a complete plot.grid_spacing
parameter is set to an inappropriate value that makes the plot unreadable.grid_spacing
parameter to a value that provides a clear and readable grid on the plot.© Copyright 2024 RunComfy. All Rights Reserved.