A carpet plot is any of a few different specific types of plot. The more common plot referred to as a carpet plot is one that illustrates the interaction between two or more independent variables and one or more dependent variables in a two-dimensional plot.

What is a carpet plot? A carpet plot is a means of displaying data dependent upon two variables in a format that makes interpolation and interpretation much easier than when using normal multiple curve plots. For example, Table 1 is a set of data defining the surface area of ellipsoids as a function of two of the three semi-axes lengths.

Detailed examples of Carpet Plots including changing color, size, log axes, and more in Python.

Visualizing global patterns with a carpet plot¶ A common quality control step for functional MRI data is to visualize the data over time in a carpet plot (also known as a Power plot or a grayplot). The plot_carpet function generates a carpet plot from a 4D functional image.

Based on the analyses presented above for the panel stiffness and strength properties, Carpet plots are developed and used for simplified design of FRP panels. In Carpet plots, diagrams of apparent moduli and strength for various laminate configurations can be produced beforehand and effectively applied to design of FRP structures.

The next phase of utilization of a carpet plot is shown in Figure 12, which quickly shows that a tank temperature T will result when the system is operated with heatXrate q = q4' W = WI, e = e3 at M = M.. Note that temperature at x can also be 1 = reached at W = W2, e e., q = q_, an entirely different set of operating conditions. The carpet

2020年10月1日 · A carpet plot is one that shows the interaction between two or more independent variables and one or more dependent variables in a two-dimensional plot. The carpet plot distinguishes itself from other plots as carpet plot can be used to more accurately interpolate data points. It can be created using the Carpet() method of graph_objects class.

You can create carpet graphs to examine the impact that varying two inputs independently has on an output for any component without modifying your simulation process flow. The carpet graph capability requires a well-structured data set and uses a DOE Full Factorial technique to generate such a set (i.e., the set of input values) into a DOE ...

This paper describes “universal” carpet plots, where a single carpet plot suffices for preliminary design of composite structures using a broad class of materials such as carbon/polymer in general, including all grades of carbon fibers and all varieties of polymer matrices.

Four-variable carpet plot (true carpet plot) Instead of using the horizontal axis to adjust the plot perspective and align carpet intersections vertically, the horizontal axis can be used to show the effects on an additional dependent variable.[5]