Table Arrow
Add a Table Arrow plot in 2D () or 3D () to display data from a table or evaluation group as an arrow plot. Right-click a 2D Plot Group or 3D Plot Group to add this plot type from the More Point Plots submenu. You can also add it by clicking More Plots in the plot group’s contextual ribbon and selecting Table Arrow from the Point Plots section, or by selecting Table Arrow () from the Table window’s toolbar. Add Color Expression, Transparency (3D only), and Visual Effects (3D only) subnodes as needed.
Go to Common Results Node Settings for links to information about the Title, Coloring and Style, and Inherit Style sections.
Data
From the Source list, choose Table or Evaluation group, and then choose a table or evaluation group table with the data that you want to plot as an arrow plot from the Table or Evaluation group list below.
Select an option from the Plot columns list: Auto (the default) or Manual. Select Auto to let the software determine the input from the data in the table. If you select Manual, you can specify which columns to take the data from in the Coordinates and Directions sections. From the x column, y column, and z column (3D only) lists, under Coordinates, choose the columns to use for the x-coordinates, y-coordinates, and z-coordinates, respectively. Also, from the x column, y column, and z column (3D only) lists, under Directions, choose the columns to use for the x directions, y directions, and z directions, respectively.
For all data formats, select the Plot imaginary part checkbox if you want to plot the imaginary part of complex-valued data. For real-valued data, that plot shows a zero imaginary part.
Preprocessing
This section contains settings to preprocess the data in the table arrow plot by scaling and shifting the data values, which can be useful to match data from different sources or to scale some data to express the values in another unit.
Under Coordinates and Directions, from the Transformation list select:
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None (the default), for no preprocessing of the data.
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Linear, to preprocess the data using a linear transformation of the data values. You define the linear preprocessing with values for the scaling (default: 1) and the shift or offset (default: 0) in the Scaling and Shift fields, respectively. The default values do not change the original data values.