The following sections briefly introduce various useful functions and features of the program in arbitrary order.
Saving the session state
You can save the current program session, including the data pipeline, viewports, render settings, etc., to a
.ovito state file
(main menu: ). This allows you
to preserve the current visualization setup for future use. For instance, you can use a state file as a template to
visualize several simulations using the same data analysis pipeline and camera setup.
A spinner widget is a user interface element used throughout the program for editing numerical parameters (see screenshot on the right). Here is how you use the spinner widget to vary the parameter value: (1) Click the spinner’s up arrow once to increment the value; click the down arrow to decrement the value in a stepwise manner. (2) Alternatively, click and hold down the mouse button to vary the value continuously. Drag the cursor upward/downward to increase/decrease the parameter value.
The Data Inspector is a panel that is located right below the viewport area in OVITO’s main window. It can be opened as shown in the screenshot on the right by clicking on the tab bar. The data inspector consists of several tabs that show different fragments of the current dataset, e.g. the property values of all particles. The tool also lets you measure distances between pairs of particles.
Viewport layers are a way to superimpose additional information and graphics such as text labels, color legends, and coordinate tripods on top of the rendered image of the three-dimensional scene. OVITO offers several different layer types, which may be added to a viewport from the Viewport Layers tab of the command panel.
When working with OVITO on a regular basis, you may find yourself using the same modifiers again and again. Some modifiers are often used in the same combination to accomplish specific analysis, filter or visualization tasks. To make your life easier and to safe you from repetitive work, OVITO allows you to define so-called modifier templates. These are preconfigured modifiers or combinations of modifiers that can be inserted into the data pipeline with just a single click. See this section to learn more about this program feature.
OVITO provides a scripting interface that lets you automate analysis and visualization tasks. This can be useful, for example, when a large number of input files needs to be batch-processed. The scripting interface provides programmatic access to most program features such as input and output of data files, modifiers, and rendering of images and movies.
Scripts for OVITO are written in the Python programming language. If you are not familiar with Python, you can find several tutorials and books online that cover this subject. Note that OVITO is based on the Python 3.x language standard.
OVITO’s Python API is documented in a separate scripting reference manual. You can access it directly from OVITO’s help menu.
In addition to automating tasks, the scripting interface allows you to extend OVITO. For example, the Python script modifier provides a mechanism for you to write your own data manipulation function and integrate it into OVITO’s modification pipeline system. Furthermore, the Python script overlay lets you write your own Python function to add arbitrary 2D graphics to rendered images or movies, for example to enrich the visualization with additional information like a scale bar.