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懒惰

version 2.0.2.6 (1.04 MB) by Claudius Simon Appel
懒惰is a toolbox for extensive plotting of data in 2D using any standard matlab fit model with minimal coding effort.

130 Downloads

更新01 Jun 2022

来自Github

View license on GitHub

懒惰can be used to both quickly display a figure containing any number of lines and data sets each.
It will also define the axes ranges of the figure, as well as title, x/y-label, the position labels of the legend. Also, by defining the vector "LPQS" before calling "LazyPlot", one can get a glance at the figure by sacrificing some features. Clear out the variable again to enter normal mode again.
For more information on how to use LazyPlot, open the "LPCodeComp.m"-file. The changelog can have some information about how this came to be. I'd advise reading through the v.1.5 notes, it contains a few useful information on how to operate LazyPlot.
lazyplot只能在所有矩阵均具有相同大小的情况下绘制。使用NAN填充缺少的数据点,或者仅将其称为第二次并绘制到同一图中。
LPCodeComp-Script中的多个评论矩阵显示了调用lazyplot的其他方法。
The function LPFigurefun can be run separately as well, without having to call LazyPlot.

Cite As

Claudius Simon Appel (2022).懒惰(https://github.com/gewerd-strauss/lazyplot/releases/tag/v2.0.2.6),github。检索.

MATLAB释放兼容性
Created with R2020b
与R2014B兼容,后来发布
Platform Compatibility
视窗 苹果系统 Linux

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要查看或报告此GitHub附加组件中的问题,请访问GitHub Repository.
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