怎么使用Matlab绘制花里胡哨的山脊图

绘制效果如下：

依旧工具函数放在文末。

教程部分

0 数据准备

X1=normrnd(2,2,1,50);
X2=[normrnd(4,4,1,50),normrnd(5,2,1,50)];
X3=[normrnd(6,2,1,50),normrnd(8,4,1,50)];
X4=[normrnd(12,1,1,50),normrnd(12,4,1,50)];
X5=[normrnd(10,2,1,50),normrnd(10,4,1,50)];
X6=[normrnd(7,2,1,50),normrnd(7,4,1,50)];
X7=[normrnd(4,2,1,50),normrnd(4,4,1,50)];

Data={X1,X2,X3,X4,X5,X6,X7};

数据为多个一维向量放在元胞数组中，大概像这样：

1 基础绘制:上色类型

通过设置ColorMode属性设置上色方式，可设置为：

Order
X
GlobalX
Kdensity
Qt

Qt Order：每个山脊不同颜色

JP=joyPlot(Data,'ColorMode','Order');
JP=JP.draw();

怎么使用Matlab绘制花里胡哨的山脊图

绘制并添加图例(同时可以通过MedLine设置显示中位线)：

JP=joyPlot(Data,'ColorMode','Order','MedLine','on');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

可以通过设置ColorList属性或者使用setPatchColor函数设置颜色，推荐前者：

ColorList属性设置颜色：

newColorList=[0.1059    0.6196    0.4667
    0.8510    0.3725    0.0078
    0.4588    0.4392    0.7020
    0.6529    0.4059    0.3294
    0.9020    0.6706    0.0078
    0.6510    0.4627    0.1137
    0.4000    0.4000    0.4000];
JP=joyPlot(Data,'ColorMode','Order','ColorList',newColorList);
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

setPatchColor函数设置颜色，只能设置面颜色设置不了线条颜色：

JP=joyPlot(Data,'ColorMode','Order');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

% 设置山脊颜色
newColorList=[0.1059    0.6196    0.4667
    0.8510    0.3725    0.0078
    0.4588    0.4392    0.7020
    0.6529    0.4059    0.3294
    0.9020    0.6706    0.0078
    0.6510    0.4627    0.1137
    0.4000    0.4000    0.4000];
JP=JP.setPatchColor(newColorList)

怎么使用Matlab绘制花里胡哨的山脊图

当然可以全部设置为同一颜色：

JP=joyPlot(Data,'ColorMode','Order','ColorList',[0,0,.6]);
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl(1))

怎么使用Matlab绘制花里胡哨的山脊图

X 每个山脊分别把X映射为颜色

JP=joyPlot(Data,'ColorMode','X','MedLine','on');
JP=JP.draw();

怎么使用Matlab绘制花里胡哨的山脊图

当然可以添加colorbar:

colorbar()

怎么使用Matlab绘制花里胡哨的山脊图

设置为其他颜色：

JP=JP.setPatchColor(winter);

怎么使用Matlab绘制花里胡哨的山脊图

JP=JP.setPatchColor(colorcube(256));

怎么使用Matlab绘制花里胡哨的山脊图

GlobalX 全局性把X坐标映射为颜色

Data={X1,X2,X3,X4,X5,X6,X7};
JP=joyPlot(Data,'ColorMode','GlobalX','MedLine','on');
JP=JP.draw();

colorbar

怎么使用Matlab绘制花里胡哨的山脊图

换成别的颜色：

JP=JP.setPatchColor(colorcube(256));

怎么使用Matlab绘制花里胡哨的山脊图

Kdensity 依靠核密度

Data={X1,X2,X3,X4,X5,X6,X7};
JP=joyPlot(Data,'ColorMode','Kdensity','MedLine','on');
JP=JP.draw();

colorbar

怎么使用Matlab绘制花里胡哨的山脊图

换成别的颜色：

JP=JP.setPatchColor(turbo);

怎么使用Matlab绘制花里胡哨的山脊图

Qt 分位染色

默认是0.25,0.75分位染色：

JP=joyPlot(Data,'ColorMode','Qt','MedLine','on');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

修改分位线(通过设置Quantiles属性)：

JP=joyPlot(Data,'ColorMode','Qt','MedLine','on','Quantiles',[.1,.9]);
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

绘制分位线(可将QtLine设置为on):

JP=joyPlot(Data,'ColorMode','Qt','MedLine','on','Quantiles',[.1,.9],'QtLine','on');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

值得一提的是，所有染色方式都可以绘制QtLine分位线：

JP=joyPlot(Data,'ColorMode','Order','MedLine','on','Quantiles',[.1,.9],'QtLine','on');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

更多分位线和更丰富配色：

JP=joyPlot(Data,'ColorMode','Qt','MedLine','on','Quantiles',[.1,.25,.75,.9],'ColorList',turbo(5),'QtLine','on');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl,{'0~0.1','0.1~0.25','0.25~0.75','0.75~0.9','0.9~1'})

怎么使用Matlab绘制花里胡哨的山脊图

更改配色：

JP=JP.setPatchColor(bone(6));

怎么使用Matlab绘制花里胡哨的山脊图

2 山脊图间距

通过设置Sep属性设置间距，例如小间距：

JP=joyPlot(Data,'ColorMode','Kdensity','Sep',1/30);
JP=JP.draw();

colorbar

怎么使用Matlab绘制花里胡哨的山脊图

间距设置为1/60:

怎么使用Matlab绘制花里胡哨的山脊图

设置大间距(1/3)：

怎么使用Matlab绘制花里胡哨的山脊图

3 绘制线状散点

只有Order类型配色不是黑色：

JP=joyPlot(Data,'ColorMode','Order','Scatter','on');
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl

怎么使用Matlab绘制花里胡哨的山脊图

Data={X1,X2,X3,X4,X5,X6,X7};
JP=joyPlot(Data,'ColorMode','GlobalX','MedLine','on','Scatter','on');
JP=JP.draw();

colorbar

怎么使用Matlab绘制花里胡哨的山脊图

4 属性单独设置

每个玩意的属性都可以单独设置

例如：

setRidgePatch 设置山脊面
setRidgeLine 设置山脊边缘线
setMedLine 设置中位线
setQtLine 设置分位线
setScatter 设置散点

JP=joyPlot(Data,'ColorMode','Order','Scatter','on','QtLine','on','MedLine','on','Sep',1/5);
JP=JP.draw();

legendHdl=JP.getLegendHdl();
legend(legendHdl)

怎么使用Matlab绘制花里胡哨的山脊图

设置第3个山脊颜色和透明度：

JP.setRidgePatch(3,'FaceColor',[0,0,0],'FaceAlpha',.5)

怎么使用Matlab绘制花里胡哨的山脊图

循环改变所有的颜色和透明度：

for i=1:length(Data)
    JP.setRidgePatch(i,'FaceColor',[1,1,1]./length(Data).*i,'FaceAlpha',.5)
end

怎么使用Matlab绘制花里胡哨的山脊图

其他玩意也都类似！

for i=1:length(Data)
    JP.setRidgePatch(i,'FaceColor',[1,1,1]./length(Data).*i,'FaceAlpha',.5)
    JP.setRidgeLine(i,'Color',[0,0,.8],'LineWidth',1)
    JP.setScatter(i,'Color',[0,0,0,.4])
    JP.setMedLine(i,'Color',[0,0,.8])
    JP.setQtLine(i,'Color',[0,0,.8])
end

怎么使用Matlab绘制花里胡哨的山脊图

5 多组数据绘图

举个例子：

X1_1=normrnd(-15,2,1,20);
X1_2=[normrnd(4,4,1,10),normrnd(5,2,1,10)];
X1_3=[normrnd(6,2,1,10),normrnd(8,4,1,10)];
X1_4=[normrnd(12,1,1,10),normrnd(12,4,1,10)];
X1_5=[normrnd(-7,2,1,10),normrnd(2,4,1,10)];
X1_6=[normrnd(-7,2,1,10),normrnd(-7,4,1,10)];
Data1={X1_1,X1_2,X1_3,X1_4,X1_5,X1_6};
X2_1=normrnd(-8,2,1,20);
X2_2=[normrnd(2,4,1,10),normrnd(2,2,1,10)];
X2_3=[normrnd(18,2,1,10),normrnd(18,4,1,10)];
X2_4=[normrnd(18,1,1,10),normrnd(18,4,1,10)];
X2_5=[normrnd(5,2,1,10),normrnd(5,4,1,10)];
X2_6=[normrnd(-20,2,1,10),normrnd(-20,4,1,10)];
Data2={X2_1,X2_2,X2_3,X2_4,X2_5,X2_6};

JP1=joyPlot(Data1,'ColorMode','Order','ColorList',[12,165,154]./255,'MedLine','on','Scatter','on');
JP1=JP1.draw();

JP2=joyPlot(Data2,'ColorMode','Order','ColorList',[151,220,71]./255,'MedLine','on','Scatter','on');
JP2=JP2.draw();


% 设置中位线颜色
for i=1:length(Data1)
    JP1.setMedLine(i,'Color',[12,165,154]./255)
end
for i=1:length(Data2)
    JP2.setMedLine(i,'Color',[151,220,71]./255)
end

% 绘制图例
legendHdl1=JP1.getLegendHdl();
legendHdl2=JP2.getLegendHdl();
legend([legendHdl1(1),legendHdl2(1)],{'AAAAA','BBBBB'})

怎么使用Matlab绘制花里胡哨的山脊图

工具函数完整代码

classdef joyPlot
% @author : slandarer
% gzh  : slandarer随笔 
% Zhaoxu Liu / slandarer (2023). joyplot 
% (https://www.mathworks.com/matlabcentral/fileexchange/125255-joyplot), 
% MATLAB Central File Exchange. 检索来源 2023/2/23.
    properties
        ax,arginList={'ColorMode','ColorList','Sep','Scatter','MedLine','Quantiles','QtLine'}
        ColorMode='Order'   % 上色模式'Order'/'X'/'GlobalX'/'Kdensity'/'Qt'
        ColorList
        defaultColorList1=[0.3725    0.2745    0.5647;    0.1137    0.4118    0.5882;    0.2196    0.6510    0.6471;    0.0588    0.5216    0.3294
                           0.4510    0.6863    0.2824;    0.9294    0.6784    0.0314;    0.8824    0.4863    0.0196;    0.8000    0.3137    0.2431
                           0.5804    0.2039    0.4314;    0.4353    0.2510    0.4392];
        defaultColorList2=[0.0015    0.0005    0.0139;    0.0143    0.0122    0.0705;    0.0415    0.0323    0.1373;    0.0773    0.0535    0.2088;    
                           0.1179    0.0664    0.2854;    0.1661    0.0678    0.3630;    0.2209    0.0609    0.4276;    0.2758    0.0616    0.4677;    
                           0.3279    0.0755    0.4889;    0.3784    0.0954    0.5001;    0.4284    0.1160    0.5058;    0.4788    0.1357    0.5080;    
                           0.5297    0.1541    0.5070;    0.5814    0.1715    0.5028;    0.6338    0.1882    0.4951;    0.6867    0.2051    0.4836;    
                           0.7395    0.2231    0.4679;    0.7914    0.2438    0.4480;    0.8410    0.2692    0.4245;    0.8861    0.3019    0.3992;    
                           0.9240    0.3441    0.3761;    0.9524    0.3958    0.3617;    0.9715    0.4540    0.3610;    0.9837    0.5147    0.3747;    
                           0.9912    0.5758    0.4003;    0.9954    0.6364    0.4350;    0.9972    0.6964    0.4765;    0.9971    0.7559    0.5234;    
                           0.9956    0.8150    0.5747;    0.9930    0.8739    0.6300;    0.9899    0.9327    0.6886;    0.9871    0.9914    0.7495];
        defaultColorList3=[255,153,154;220,220,220;153,153,253]./255;
        Sep=1/8;          % 两个山脊间距离
        Scatter='off';    % 是否绘制竖线状散点
        MedLine='off';
        QtLine='off';
        Quantiles=[.25,.75];QtX,QtY
        ridgeNum,Data,minX,maxX,maxY,XiSet,FSet
        ridgePatchHdl,ridgeLineHdl
        medLineHdl,scatterHdl;QtLineHdl;QtLegendHdl
    end

    methods
        function obj=joyPlot(Data,varargin)
            obj.Data=Data;
            obj.ridgeNum=length(obj.Data);

            % 获取其他数据
            disp(char([64 97 117 116 104 111 114 32 58 32,...
                 115 108 97 110 100 97 114 101 114]))
            for i=1:2:(length(varargin)-1)
                tid=ismember(obj.arginList,varargin{i});
                if any(tid)
                    obj.(obj.arginList{tid})=varargin{i+1};
                end
            end
            if isempty(intersect(obj.ColorMode,{'Order','X','GlobalX','Kdensity','Qt'}))
                error('The ColorMode should be one of the following: Order  X  GlobalX  Kdensity  Qt')
            end
            switch obj.ColorMode
                case 'Order',obj.ColorList=obj.defaultColorList1;
                case 'X',obj.ColorList=obj.defaultColorList2;
                case 'GlobalX',obj.ColorList=obj.defaultColorList2;
                case 'Kdensity',obj.ColorList=obj.defaultColorList2;
                case 'Qt',obj.ColorList=obj.defaultColorList3;
            end
            for i=1:2:(length(varargin)-1)
                tid=ismember(obj.arginList,varargin{i});
                if any(tid)
                    obj.(obj.arginList{tid})=varargin{i+1};
                end
            end
            obj.minX=min(obj.Data{1});
            obj.maxX=max(obj.Data{1});
            for i=1:obj.ridgeNum
                obj.minX=min(obj.minX,min(obj.Data{i}));
                obj.maxX=max(obj.maxX,max(obj.Data{i}));
            end
        end
        function obj=draw(obj)
            obj.ax=gca;hold on;
            obj.ax.LineWidth=1;
            obj.ax.YTick=(1:obj.ridgeNum).*obj.Sep;
            obj.ax.FontName='Cambria';
            obj.ax.FontSize=13;
            obj.ax.YGrid='on';
            % obj.ax.Box='on';
            obj.ax.TickDir='out';
            tYLabel{obj.ridgeNum}='';
            for i=1:obj.ridgeNum
                tYLabel{i}=['Class-',num2str(i)];
            end
            obj.ax.YTickLabel=tYLabel;

            % 调整初始界面大小
            fig=obj.ax.Parent;
            fig.Color=[1,1,1];
            if max(fig.Position(3:4))<690
                fig.Position(3:4)=1.2.*fig.Position(3:4);
                fig.Position(1:2)=fig.Position(1:2)./2;
            end

            % 绘制patch图像
            obj.minX=min(obj.Data{1});
            obj.maxX=max(obj.Data{1});
            obj.maxY=0;
            for i=1:obj.ridgeNum
                tX=obj.Data{i};tX=tX(:)';
                [F,Xi]=ksdensity(tX);
                obj.minX=min(obj.minX,min(Xi));
                obj.maxX=max(obj.maxX,max(Xi));
                obj.maxY=max(obj.maxY,max(F));
            end
            for i=obj.ridgeNum:-1:1
                tX=obj.Data{i};tX=tX(:)';
                [F,Xi]=ksdensity(tX);
                OXi=Xi;
                Xi=linspace(min(Xi),max(Xi),1000);
                F=interp1(OXi,F,Xi);
                obj.XiSet{i}=Xi;
                obj.FSet{i}=F;
                % 绘制竖线散点
                tXX=[tX;tX;tX.*nan];
                tYY=[tX.*0+obj.Sep.*i-obj.Sep./10;tX.*0+obj.Sep.*i-obj.Sep./2.5;tX.*nan];
                if isequal(obj.ColorMode,'Order')
                    obj.scatterHdl(i)=plot(tXX(:),tYY(:),'Color',[obj.ColorList(mod(i-1,size(obj.ColorList,1))+1,:),.5],'LineWidth',.8,'Visible','off');
                else
                    obj.scatterHdl(i)=plot(tXX(:),tYY(:),'Color',[0,0,0,.5],'LineWidth',.8,'Visible','off');
                end
                if isequal(obj.Scatter,'on'),set(obj.scatterHdl(i),'Visible','on');end
                % 计算分位线
                for j=1:length(obj.Quantiles)
                    obj.QtX(i,j+1)=quantile(tX,obj.Quantiles(j));
                    obj.QtY(i,j)=interp1(Xi,F,quantile(tX,obj.Quantiles(j)));
                end
                obj.QtX(i,1)=min(Xi)-inf;
                obj.QtX(i,length(obj.Quantiles)+2)=max(Xi)+inf;
                switch obj.ColorMode
                    case 'Order'
                        obj.ridgePatchHdl(i)=fill([Xi(1),Xi,Xi(end)],[0,F,0]+obj.Sep.*(i).*ones(1,length(F)+2),...
                            obj.ColorList(mod(i-1,size(obj.ColorList,1))+1,:),'EdgeColor','none','FaceAlpha',.5);
                        obj.ridgeLineHdl(i)=plot([Xi(1),Xi,Xi(end)],[0,F,0]+obj.Sep.*(i).*ones(1,length(F)+2),...
                            'Color',obj.ColorList(mod(i-1,size(obj.ColorList,1))+1,:),'LineWidth',.8);
                        colormap(obj.ColorList);
                        try caxis([1,obj.ridgeNum]),catch,end
                        try clim([1,obj.ridgeNum]),catch,end
                    case 'X'
                        tTi=[Xi(1),Xi,Xi(end),Xi(end:-1:1)]-min(Xi);tTi=tTi./max(tTi);
                        tT=linspace(0,1,size(obj.ColorList,1));
                        tC=cat(3,interp1(tT,obj.ColorList(:,1),tTi),interp1(tT,obj.ColorList(:,2),tTi),interp1(tT,obj.ColorList(:,3),tTi));
                        obj.ridgePatchHdl(i)=fill([Xi(1),Xi,Xi(end),Xi(end:-1:1)],[0,F,0,F.*0]+obj.Sep.*(i).*ones(1,length(F)*2+2),...
                            tC,'EdgeColor','none','FaceAlpha',.9,'FaceColor','interp');
                        obj.ridgeLineHdl(i)=plot([Xi(1),Xi,Xi(end)],[0,F,0]+obj.Sep.*(i).*ones(1,length(F)+2),...
                            'Color',[0,0,0,.9],'LineWidth',.8);
                        colormap(obj.ColorList);
                        try caxis([-1,1]),catch,end
                        try clim([-1,1]),catch,end
                    case 'GlobalX'
                        tTi=[Xi(1),Xi,Xi(end),Xi(end:-1:1)]-obj.minX;
                        tTi=tTi./(obj.maxX-obj.minX);
                        tT=linspace(0,1,size(obj.ColorList,1));
                        tC=cat(3,interp1(tT,obj.ColorList(:,1),tTi),interp1(tT,obj.ColorList(:,2),tTi),interp1(tT,obj.ColorList(:,3),tTi));
                        obj.ridgePatchHdl(i)=fill([Xi(1),Xi,Xi(end),Xi(end:-1:1)],[0,F,0,F.*0]+obj.Sep.*(i).*ones(1,length(F)*2+2),...
                            tC,'EdgeColor','none','FaceAlpha',.9,'FaceColor','interp');
                        obj.ridgeLineHdl(i)=plot([Xi(1),Xi,Xi(end)],[0,F,0]+obj.Sep.*(i).*ones(1,length(F)+2),...
                            'Color',[0,0,0,.9],'LineWidth',.8);
                        colormap(obj.ColorList);
                        try caxis([obj.minX,obj.maxX]),catch,end
                        try clim([obj.minX,obj.maxX]),catch,end
                    case 'Kdensity'
                        tTi=[0,F,0,F(end:-1:1)];
                        tTi=tTi./obj.maxY;
                        tT=linspace(0,1,size(obj.ColorList,1));
                        tC=cat(3,interp1(tT,obj.ColorList(:,1),tTi),interp1(tT,obj.ColorList(:,2),tTi),interp1(tT,obj.ColorList(:,3),tTi));
                        obj.ridgePatchHdl(i)=fill([Xi(1),Xi,Xi(end),Xi(end:-1:1)],[0,F,0,F.*0]+obj.Sep.*(i).*ones(1,length(F)*2+2),...
                            tC,'EdgeColor','none','FaceAlpha',.9,'FaceColor','interp');
                        obj.ridgeLineHdl(i)=plot([Xi(1),Xi,Xi(end)],[0,F,0]+obj.Sep.*(i).*ones(1,length(F)+2),...
                            'Color',[0,0,0,.9],'LineWidth',.8);
                        colormap(obj.ColorList);
                        try caxis([0,obj.maxY]),catch,end
                        try clim([0,obj.maxY]),catch,end
                    case 'Qt'
                        tTi=[Xi(1),Xi,Xi(end),Xi(end:-1:1)];
                        tR=tTi.*0;tG=tTi.*0;tB=tTi.*0;
                        for j=1:size(obj.QtX,2)-1
                            tR(tTi>=obj.QtX(i,j)&tTi=obj.QtX(i,j)&tTi=obj.QtX(i,j)&tTi=obj.QtX(i,j)&tTi=obj.QtX(i,j)&tTi=obj.QtX(i,j)&tTi