## Consistency is Key: Visual Communication

Consistency in your plots is important because it helps you identify significant differences when comparing datasets or regions of the same dataset. […]

## Tecplot Europe Solutions for CFD Visualization

Learn how the Tecplot Europe engineering team can help you customize your solutions for CFD visualization and analysis. […]

## Isosurface Algorithms – Visualizing Higher Order Elements

In this blog I will be discussing our research into isosurface algorithms for higher-order finite-element solutions. […]

## Q&A Getting Started Tecplot 360 – FVCOM

You asked some important questions during this training session using the FVCOM dataset for coastal and ocean modeling. Enjoy skimming the Q&A here to find something of interest. […]

## Q&A Getting Started with Tecplot 360 – Basics Training

You asked some great questions during the Tecplot 360 Basics Online Training session using the ONERA M6 Wing data. Here are the answers! […]

## Creating a Materials Legend in Tecplot 360

Tecplot 360 is designed to read and display numeric data, but sometimes you may have categorical data that is best represented using names. An example of this type of data is a groundwater simulation in which scalar values refer to materials such as rock, sand, and water. Another example is … […]

## Complex Nature of Higher-Order Finite-Element Data

There is a lot of complexity with higher-order finite-element data that complicate the visualization process. What are the challenges visualizing higher-order element data? […]

## ATS, Tecplot Distributor in Brazil, Specializes in High-End CFD Solutions

ATS, Tecplot’s distributor in Brazil, is an engineering services and software distribution company specializing in high-end numerical computational solutions. They work with clients in the aeronautical, space, defense, oil & gas, mining and heavy industries. […]

## How to Extract Data from a Surface, through Time

Learn how to extract Pressure values, through time, from the wall of a simulation at specific XYZ locations. Then plot the results with Time on the X-Axis and Pressure on the Y-Axis for each XYZ location. We will be using tecplot.data.probe_on_surface() from PyTecplot. […]