本文主要是介绍MATLAB 一行代码应用ggtheme主题--boxchart版(框须图,箱线图),希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
这个比其他的难很多。。。
注: 至少需要 R2020a 版本才能使用,另外需要具有 Statistics and Machine Learning Toolbox 工具箱
1使用方式
假设你编写了如下程序:
x=randn(100,10);
boxchart(x)
legend('randn(100,10)')
加入一行:
x=randn(100,10);
boxchart(x)
legend('randn(100,10)')
ggThemeBox(gca,'flat_dark')
categorical 格式数组实例:
假设你编写了如下程序:
tbl = readtable('TemperatureData.csv');
monthOrder = {'January','February','March','April','May','June','July', ...'August','September','October','November','December'};
tbl.Month = categorical(tbl.Month,monthOrder);
boxchart(tbl.Month,tbl.TemperatureF,'GroupByColor',tbl.Year)
ylabel('Temperature (F)')
legend
最后面加一行:
tbl = readtable('TemperatureData.csv');
monthOrder = {'January','February','March','April','May','June','July', ...'August','September','October','November','December'};
tbl.Month = categorical(tbl.Month,monthOrder);
boxchart(tbl.Month,tbl.TemperatureF,'GroupByColor',tbl.Year)
ylabel('Temperature (F)')
legend
ggThemeBox(gca,'flat_dark');
2主题
主题有如下选择:
‘flat’/‘flat_dark’/‘camouflage’/‘chalk’/
‘copper’/‘dust’/‘earth’/‘fresh’/‘grape’/
‘grass’/‘greyscale’/‘light’/‘lilac’/‘pale’
‘sea’/‘sky’/‘solarized’
效果:
‘flat’
‘flat_dark’
‘camouflage’
‘chalk’
‘copper’
‘dust’
‘earth’
‘fresh’
‘grape’
‘grass’
‘greyscale’
‘light’
‘lilac’
‘pale’
‘sea’
‘sky’
‘solarized’
3完整代码
属性存到了.mat文件
文件下载地址:
链接:https://pan.baidu.com/s/1EMWVVzUCLP3RJIEK3Ljavg
提取码: ggtm
需要将.mat文件和函数放在同一个文件夹
完整代码:
function ax=ggThemeBox(varargin)
% @author:slandarer
%
% 参数说明:
% -----------------------------------------------------
% AxesTheme | 坐标区域风格 | 'flat'/'flat_dark'/'camouflage'/'chalk'/
% 'copper'/'dust'/'earth'/'fresh'/'grape'/
% 'grass'/'greyscale'/'light'/'lilac'/'pale'
% 'sea'/'sky'/'solarized'% 获取要处理的坐标区域=====================================================
if strcmp(get(varargin{1},'type'),'axes' )ax=varargin{1};
elseax=gca;
end
hold(ax,'on')% default==================================================================
theme.AxesTheme='flat';
if length(varargin)>1theme.AxesTheme=varargin{2};
endax.Box='off';
ax.YGrid='on';
ax.XGrid='on';
ax.GridLineStyle='--';
ax.LineWidth=1.3;
% 主题风格化
Tm=load('themeCSS.mat');
Tm=Tm.theme;
ax.Color=Tm.(theme.AxesTheme).Color;
ax.TickLength=Tm.(theme.AxesTheme).TickLength;
ax.GridColorMode=Tm.(theme.AxesTheme).GridColorMode;
ax.GridColor=Tm.(theme.AxesTheme).GridColor;
ax.GridAlpha=Tm.(theme.AxesTheme).GridAlpha;
ax.XColor=Tm.(theme.AxesTheme).XColor;
ax.YColor=Tm.(theme.AxesTheme).YColor;
ax.TickDir=Tm.(theme.AxesTheme).TickDir;
ax.ColorOrder=Tm.(theme.AxesTheme).ColorOrder;if ~isempty(ax.Legend)ax.Legend.Box='off';ax.Legend.FontSize=12;if mean(ax.Color)>0.6ax.Legend.TextColor=ax.XColor;elseax.Legend.TextColor=[0.9 0.9 0.9];endif ~isempty(regexpi(ax.Legend.Location,'out', 'once'))ax.Legend.TextColor=ax.XColor;ax.Legend.Title.FontSize=14;endax.Legend.AutoUpdate='off';
endn=1;
for i=length(ax.Children):-1:1ax.Children(i).Visible='on';ax.Children(i).WhiskerLineColor='none';ax.Children(i).BoxFaceColor=ax.ColorOrder(mod(n-1,size(ax.ColorOrder,1))+1,:);ax.Children(i).BoxFaceAlpha=1;axBp(i)=ax.Children(i);n=n+1;
endBw=axBp(1).BoxWidth;
Sw=1-Bw;
if length(axBp(1).XData(:))~=length(axBp(1).YData(:))n=1;for i=length(axBp):-1:1tDataX=axBp(i).XData;tDataY=axBp(i).YData;for j=1:length(axBp(i).XData)tjDataX=double(tDataX(j));fullDataY=tDataY(:,j);tjDataY=tDataY(:,j);if ~isempty(tjDataY)outliBool=isoutlier(tjDataY,'quartiles');outli=tjDataY(outliBool);scatter(ax,repmat(tjDataX,[sum(outliBool),1]),outli,45,'filled',...'CData',Tm.(theme.AxesTheme).EdgeColor,'MarkerEdgeColor','none')tjDataY(outliBool)=[];plot(ax,[tjDataX,tjDataX],[max(tjDataY),min(tjDataY)],'LineWidth',1.2,...'Color',Tm.(theme.AxesTheme).EdgeColor)qt25=quantile(fullDataY,0.25);qt75=quantile(fullDataY,0.75);fill(ax,tjDataX+Bw.*0.5.*[-1 1 1 -1],...[qt25,qt25,qt75,qt75],ax.ColorOrder(mod(n-1,size(ax.ColorOrder,1))+1,:),...'EdgeColor',Tm.(theme.AxesTheme).EdgeColor)med=median(fullDataY);plot(ax,[tjDataX-Bw.*0.5,tjDataX+Bw.*0.5],[med,med],'LineWidth',3,...'Color',Tm.(theme.AxesTheme).EdgeColor)endendn=n+1;end
elsen=1;nBw=Bw/length(axBp)/2;nSw=Sw/length(axBp)/2;for i=length(axBp):-1:1tDataX=axBp(i).XData;tDataY=axBp(i).YData;cgX=categories(tDataX);for j=1:length(cgX)fullDataY=tDataY(tDataX==cgX{j});tjDataY=tDataY(tDataX==cgX{j});if ~isempty(tjDataY)outliBool=isoutlier(tjDataY,'quartiles');outli=tjDataY(outliBool);tjDataX=j-(length(axBp)-1)*(nSw+nSw)+(length(axBp)-i)*2*(nSw+nSw);scatter(ax,repmat(tjDataX,[length(outli),1]),outli,45,'filled',...'CData',Tm.(theme.AxesTheme).EdgeColor,'MarkerEdgeColor','none')tjDataY(outliBool)=[];plot(ax,[tjDataX,tjDataX],[max(tjDataY),min(tjDataY)],'LineWidth',1.2,...'Color',Tm.(theme.AxesTheme).EdgeColor)qt25=quantile(fullDataY,0.25);qt75=quantile(fullDataY,0.75);fill(ax,tjDataX+nBw.*[-1 1 1 -1],...[qt25,qt25,qt75,qt75],ax.ColorOrder(mod(n-1,size(ax.ColorOrder,1))+1,:),...'EdgeColor',Tm.(theme.AxesTheme).EdgeColor)med=median(fullDataY);plot(ax,[tjDataX-nBw,tjDataX+nBw],[med,med],'LineWidth',3,...'Color',Tm.(theme.AxesTheme).EdgeColor)endendn=n+1;end
endend
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