Plot Matrix is an evoleap twist on the existing plot template concept available in the OLGA GUI. flotools’ Plot Matrix feature provides a visual, interactive interface that allows users to quickly multiply a plot (or set of plots) across cases, variables, branches, and positions. Once multiplied, the interface allows for quick screening and qualitative comparisons of OLGA results. This is made possible through the use of smart algorithms to calculate a common y-axis scaling for every plot with common variable giving users the ability to quickly scan and detect anomalies in simulations or changes to patterns. When combined with annotations to indicate constraint boundaries, Plot Matrix provides users another efficient and powerful tool for advanced data analysis.
In the example below, I started with a base pressure profile (Case = Case01-pt30, Branch = BRAN-1). I then set the “Column Variable” (the property that will be varied across columns) to Case, and the “Row Variable” to Branch. This tells the matrix to take my starting plot and fill up the matrix by varying the case in each column and branch in each row. Each cell’s plot is determined by its row and column. So for example, the cell in row 2, column 2 is a pressure profile of BRAN-2 in case Case02-pt31.
It is worth noting that a matrix can be started with multiple plots and those plots can contain multiple series. Probably the most common use case for Plot Matrix would be if a user has created a set of plots for a single case and now wants to look at those same plots for all of the cases in a study.
If you are an existing user, learn more about Plot Matrix in this detailed video walk-through. Otherwise, learn more about flotools.