上一期文章中,分享了Matlab 帕累托图的绘制模板:这一次,再来分享一种特殊的线图: 平行坐标图。‘平行坐标图是一种通常的可视化方法, 用于对高维几何和多元数据的可视化……为了克服传统的笛卡尔直角坐标系容…
function run_plot() % Make a parallel coordinates plot. % % In this example, the design space diversity of a medium-frequency transformer is considered. % % This example is composed of two files: % - run_parse.m - extract and parse the dataset % - run_plot.m - make the parallel co...
颜色定义：颜色选择对于图的美观度至关重要，可以使用诸如TheColor配色工具中的SCI配色库，以确保图表的专业性和可读性。当然，根据个人审美，也可以选择其他配色方案。绘制平行坐标图：利用Matlab中的'parallelplot'命令，生成基本的平行坐标图。细节优化：对图的线属性进行调整，如改变线条的粗细、颜色和样式...
parallelplot(data,'CoordinateData',coorddata) parallelplot(___,'GroupData',grpdata) parallelplot(___,Name,Value) parallelplot(parent,___) p = parallelplot(___) Description parallelplot(tbl)creates a parallel coordinates plot from the tabletbl. Each line in the plot represents a row in th...
I have a question aboutParallel Coordinates Plotfrom Classifier app (Machine Learning). I have Parallel Coordinates Plot just like the one shown in the figure on this page:https://www.mathworks.com/help/stats/feature-selection-and-feature-transformation.html#buwh6hc-1 ...
Perform a parameter sweep in parallel and plot progress during parallel computations. Scale Up from Desktop to Cluster Develop your parallel MATLAB® code on your local machine and scale up to a cluster. Use parfor to Speed Up Monte-Carlo Code ...
MATLAB Online에서 열기 테마복사 x = rand(2,1) ; y = rand(2,1) ; % fit a line p = polyfit(x,y,1) ; xi = linspace(x(1),x(2)) ; yi = polyval(p,xi) ; % plot(x,y,'.r') hold on plot(xi,yi,'b') %%...
Run parallel code inMATLAB Online™. Featured Examples Plot During Parameter Sweep with parfor Perform a parameter sweep in parallel and plot progress during parallel computations. Use FFT2 on the GPU to Simulate Diffraction Patterns Uses Parallel Computing Toolbox™ to perform a two-dimensional ...
% https://www.mathworks.com/matlabcentral/answers/430790-how-can-i-get-the-screen-coordinates-from-perspective-projection?s_tid=srchtitle function[xcam, ycam] = ScreenProjection(ax, X, Y, Z) dataRatio = get(ax,'DataAspectRatio');
fault_locations = x(fault_indices); % Automatically determined fault locations (x-coordinates) fault_dip_angles = nan(size(fault_indices)); % Placeholder for calculated dip angles% Calculate dip angles for each identified fault for i = 1:length(fault_indices) ...