如何更改给定箱形图的'PlotStyle'属性? [英] How can I change 'PlotStyle' property of a given boxplot figure?

问题描述

给出Matlab箱形图的.fig文件(即基础数据不可用)，是否可以将PlotStyle属性(从传统"更改为紧凑")?

Given a .fig file of a Matlab boxplot (i.e. underlying data not available), is it possible to change the PlotStyle attribute (from 'traditional' to 'compact')?

推荐答案

这个问题有点棘手，因为与Matlab中的其他图形对象不同，boxplot是一组线.因此，在绘制后设置的所有属性在绘制后都无法访问(实际上不存在).

This question is kind of tricky because not like other graphic objects in Matlab, boxplot is a group of lines. As so, all the properties that are set while you create it are inaccessible (and in fact does not exist) after plotting.

处理该问题的一种方法是创建一个虚拟"箱形图，然后将其更改为您的数据.由于boxplot没有XData和YData的简单属性，至少没有像我们以前所习惯的那样，因此需要一些工作.

One option to deal with that is to create a 'dummy' boxplot, and then alter it to your data. Because boxplot has no simple properties of XData and YData, at least not as we use to them, it takes some work to do that.

下面是一段简短的代码来证明这一点:

Here is a short code to demonstrate that:

% this is just to make a figure for example:
X = normrnd(10,1,100,1);
boxplot(X) % this is the 'Traditional' figure that you load
% you start here, after you load your figure:
bx = findobj('tag','boxplot');
% get the properties of the axes:
axlimx = bx.Parent.XLim;
axlimy = bx.Parent.YLim;
% get all needed properties for plotting compact box plot
txt = bx.Parent.XAxis.TickLabels;
med = get(findobj(bx,'tag','Median'),'YData'); % Median
out = get(findobj(bx,'tag','Outliers'),'YData'); % Outliers
box = get(findobj(bx,'tag','Box'),'YData'); % the Box
whis = cell2mat(get([findobj(bx,'tag','Lower Whisker')...
    findobj(bx,'tag','Upper Whisker')],'YData')); % Whisker
minmax = @(R) [min(R(:)) max(R(:))]; % helper function
close all
% Now we closed the original figure, and create a new one for manipulation:
boxplot(normrnd(10,1,100,1),'PlotStyle','Compact');
bxc = findobj('tag','boxplot');
% set the properties of the axes:
bxc.Parent.XLim = axlimx;
bxc.Parent.YLim = axlimy;
% set all properties of the compact box plot:
bxc.Children(1).String = txt;
set(bxc.Children(2),'YData',out) % Outliers
set(bxc.Children(3:4),'YData',med(1)) % MedianInner & MedianOuter
set(bxc.Children(5),'YData',minmax(box)) % the Box 
set(bxc.Children(6),'YData',minmax(whis)) % Whisker

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将箱形图更改为紧凑"样式的另一种方法是直接更改图形.在这种情况下，我们不会创建新的虚拟人偶，而是要处理已加载的人偶.

---

Another way to alter the boxplot to 'compact' style, is to change the graphics directly. In this case, we don't create a new dummy figure but work on the loaded figure.

以下是该方法的代码:

% this is just to make a figure for example:
X = normrnd(10,1,100,1);
boxplot(X) % this is the 'Traditional' figure that you load
% you start here, after you load your figure:
bx = findobj('tag','boxplot');
minmax = @(R) [min(R(:)) max(R(:))]; % helper function
% get the whisker limits:
whis = cell2mat(get([findobj(bx,'tag','Lower Whisker')...
    findobj(bx,'tag','Upper Whisker')],'YData')); % Whisker
set(findobj(bx,'tag','Upper Whisker'),{'YData','Color','LineStyle'},...
    {minmax(whis),'b','-'})
% set the median:
set(findobj(bx,'tag','Median'),{'XData','YData','LineStyle','Marker',...
    'Color','MarkerSize','MarkerFaceColor'},...
    {1,min(get(findobj(bx,'tag','Median'),'YData')),'none','o','b',6,'auto'}); 
% set the box:
set(findobj(bx,'tag','Box'),{'XData','YData','LineWidth'},...
    {[1 1],minmax(get(findobj(bx,'tag','Box'),'YData')),4});
im_med = copyobj(findobj(bx,'tag','Median'),bx);
im_med.Marker = '.';
% set the outliers:
out = get(findobj(bx,'tag','Outliers'),'YData'); % Outliers
set(findobj(bx,'tag','Outliers'),{'XData','LineStyle','Marker','MarkerEdgeColor',...
    'MarkerSize','MarkerFaceColor'},{0.9+0.2*rand(size(out)),'none','o','b',4,'none'});
% rotate x-axis labels:
bx.Parent.XAxis.TickLabelRotation = 90;
% delete all the rest:
delete(findobj(bx,'tag','Lower Whisker'))
delete(findobj(bx,'tag','Lower Adjacent Value'))
delete(findobj(bx,'tag','Upper Adjacent Value'))

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