Data Visualizing

This section describes data visualization in the software.

Data visualization refers to selecting, plotting, and saving data in the Data visualizer window.

Data Visualization

Data visualization enables direct display of complicated high-dimensional data and coordinate systems, allowing you to retrieve, view and display the data effectively.

Open the Data Visualizer window through corresponding interface operations. This window integrates a number of plotting methods and a dataset list of selected objects, allowing you to visualize data easily.

Objects Tree

Right-click the object whose data you want to view in the Objects Tree, then click the Data Visualizer in the context menu to open the Data Visualizer window.

Watch

Within the Objects Tree, select the object whose data you want to view, and click the Watch Results Outline at the top of the screen. The Watch window will appear below the Objects Tree window, which displays the dataset list of the selected object. Right-click the desired data, and click the Visualizer in the pop-up menu to open the Data Visualizer window.

For the object in the Object Tree whose data you want to view, click the Watch results outline above the object tree window to switch the Watch to a dataset list. Right click on the object and click Data Visualizer in the context menu to open the Data Visualizer window.

Script Workspace

In the Script Workspace window, right-click the data you want to view, then click the Visualizer Data in the pop-up menu to open the Data Visualizer window.

Realization Method

Data Visualizer Window

Window Layout

Number	Name	Description
1	Plot setting	Specify a type of plot and export it.
2	Plot	The image window.
3	Results tree	Select a dataset for plotting.
4	Attributes	Select vector components, real part, imaginary part, etc.
5	Parameters	Select plotting parameters.

Operations Available within the Data Visualizer Window

• Plot setting:
  Generally, the plot type will be automatically selected based on the dimensions of data. For example, when you have a one-dimensional dataset, the plot type chosen by the software is typically a 1D line plot. If you have a two-dimensional dataset, the software will automatically select a 2D planar graph as the plot type. For datasets with three or more dimensions, the software may automatically "slice" the data into a two-dimensional dataset, and display it in the Image mode. You need to select the "Image>Vector" to generate 2D vector arrow plots, or select the "Vector" to create 3D vector arrow plots.
  Note: It's important to note that although the surf function is commonly used for plotting spatial surfaces, the underlying data is still two-dimensional.

• Attributes
  The attributes of the data can be determined by:

  • Selecting the components of the vector, for example, $\vec{E}$ is composed of $E_x$, $E_y$, and $E_z$;
  • Selecting the real part, imaginary part, absolute value, or phase of the vector. For example, for $\vec{E_x}$ , the real part is $real(E_x)$, the imaginary part is $imag(E_x)$, the absolute value is $abs(E_x)$, and the phase is $angle(E_x)$.

More Information

Visualization Methods

The software offers a variety of visualization methods, including:

Name	Description	Figure	More
Plot	1D line plot	Take logarithm:	Line plot
Plotyy	1D dual y-axis chart		Dual line plot
Polar	1D polar plot	Take logarithm (pay attention to adjusting the range of the radial axis):	Polar plot
Smith chart	Smith chart		Smith chart
Image	2D planar chart	Take logarithm: Add transverse vector:	2D plot
Surf	3D spatial surface chart	Take logarithm: Add mesh: Radiation:	3D plot
Mesh	3D spatial mesh chart		3D plot
Vector plot	3D spatial vector graphic		3D vector plot