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点击上方蓝字和“好玩的matlab”一起快乐的玩耍吧
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5 H, T: z" r6 d8 n% n0 J% I好玩的matlab! L1 V( e K) H& C! ] e
带你喜欢上MATLAB, [8 o2 N/ J6 Y! z0 w2 x5 \+ m
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科研绘图中遇见的问题:怎么样去绘制好看精致的误差图?今天小编教大家画图的方法。绘图效果. d& J g+ J' S0 E5 }& z" k6 B
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" s$ D( i& ~6 K5 S3 B, I | 源码2clear,clc;x = 0:10:500; y_true = 30*sind(x) + x/10; sigma = 3; y_measured = y_true + sigma*randn(size(x)); plot(x,y_true,'k','linewidth',2)hold onplot(x,y_measured,'color',[0.0118 0.2078 0])ylabel( 'Y轴');xlabel('X轴');% 绘制不确定性阴影区间errorshade(x,y_measured,sigma,[0 1 0.7]) legend('真实值','测量值 \pm\sigma = 3 mV ','location','northwest')legend box off axis tight title('好看的阴影误差图')grid minor?errorshade 函数:( W' s( P" u& Z% _* J
function h = errorshade(x,y,sigma,color,varargin)%errorshade绘制阴影区域以指示高斯不确定性。%通过生成指定颜色的RGB图像并设置透明度来作图%% 语法规则% errorshade(x,y,sigma,color)% errorshade(...,'resolution',res)% errorshade(...,'average',N)% h = errorshade(...)%%% 简介%% %errorshade(x,y,sigma ,color)以高斯阴影区域为中心绘制% x,y:为数据行。%sigma:表示阴影的一个标准偏差% color:为rgb值的三元素向量。
. _. ]* x+ j+ P* I3 `%% 举例%数据% x = 0:10:500;% y_true = 30*sind(x) + x/10;% sigma = 3;% y_measured = y_true + sigma*randn(size(x));% plot(x,y_true,'k','linewidth',2)% hold on% plot(x,y_measured,'color',[0.0118 0.2078 0])% ylabel 'some values in mV'%% % 绘制不确定性阴影区间% errorshade(x,y_measured,sigma,[0.0824 0.6902 0.1020])% legend('true value','measured value \pm\sigma = 3 mV uncertainty','location','northwest')% legend boxoff% axis tight%% Error checks:narginchk(4,inf)assert(numel(color)==3,'输入错误: 颜色必须是三元素向量.')assert(numel(x)==numel(y),'输入错误::x 和 y 维度必须相等')assert(isscalar(sigma)==1,'输入错误: sigma必须是标量.')( ]" ]( V4 b' x1 |6 E. A
%% Input parsing/ o7 X$ s1 ^* p
tmp = strncmpi(varargin,'resolution',3);if any(tmp) res = varargin{find(tmp)+1}; if isscalar(res) res = [res res]; else assert(numel(res)==2,'输入错误: 分辨率必须是标量或二元素向量.') endelse res = 2500*[1 1];endtmp = strncmpi(varargin,'average',2);if any(tmp) avg = varargin{find(tmp)+1}; assert(isscalar(avg)==1,'输入错误: 移动平均距离必须为标量.') y = imfilter(y(:),fspecial('average',[avg 1]),'replicate');endbuffer = 3*sigma; % This is the padding to add around all measurements in the vertical dimension.%% 限制范围:% 制作一个与数据缓冲区的尺寸相对应的网格:[X,Y] = meshgrid(linspace(min(x),max(x),res(1)),linspace(min(y)-buffer,max(y)+buffer,res(2)));% Find y locations along all x points of the gridyi = interp1(x,y,linspace(min(x),max(x),res(1)));% 正态分布:P = (1/sqrt(2*pi*sigma^2)) * exp(-(bsxfun(@minus,Y,yi)).^2/(2*sigma^2));%每个点到yi的距离将用作透明度的量度:Z = P-min(P(:));Z = Z/max(Z(:));%创建指定颜色的RGB图像:RGB = cat(3,color(1)*ones(size(Z)),color(2)*ones(size(Z)),color(3)*ones(size(Z)));% 绘制颜色的RGB图像:h = image(RGB,'xdata',X(1,:),'ydata',Y(:,1));axis xy% 设置透明度:set(h,'alphadata',Z)% 将渲染器设置为OpenGL,因为透明度仅适用于OpenGL:set(gcf,'renderer','OpenGL');% 底部:uistack(h,'bottom')%% 清除:if nargout==0 clear hendend% e5 n" Q/ w* l$ L6 X; Z8 ]
参考文献:5 K; a, C! l+ Z
好玩的matlab:https://idmatlab.blog.csdn.net/article/details/113733467" }* t! G' ^1 \1 ?6 R( d: { Y* Y
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好玩的matlab 1分钟前
2 v/ d3 i& ]" p8 B3 |3 H# s谁给你的权利,一天啥正事不干就想着玩手机,还不快去测试代码。7 A' }; A8 W( o' O) S& ?
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往期精彩回顾
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