漂亮，美观的图表之Matlab强势回归~~~~走你3

今天我们要学习，如何在figure中添加注释， 并指向方向。

首先画出数据，并添加一条均值线

Line([mean1 mean1], get(gca,’ylim’));

 

如图：

添加文本连接指向均值线，使用dsxy2figxy从数据空间转换点或位置坐标进入标准的图坐标中，annotation添加图像的注释文本，即指向均值线

function varargout = dsxy2figxy(varargin)if length(varargin{1}) == 1 && ishandle(varargin{1}) ...                            && strcmp(get(varargin{1},'type'),'axes')hAx = varargin{1};varargin = varargin(2:end); % Remove arg 1 (axes handle)elsehAx = gca;end;% Remaining args are either two point locations or a position vectorif length(varargin) == 1        % Assume a 4-element position vectorpos = varargin{1};else[x,y] = deal(varargin{:});  % Assume two pairs (start, end points)end% Get limitsaxun = get(hAx,'Units');set(hAx,'Units','normalized');  % Make axes units normalized axpos = get(hAx,'Position');    % Get axes positionaxlim = axis(hAx);              % Get the axis limits [xlim ylim (zlim)]axwidth = diff(axlim(1:2));axheight = diff(axlim(3:4));% Transform from data space coordinates to normalized figure coordinates if exist('x','var')     % Transform a and return pair of pointsvarargout{1} = (x - axlim(1)) * axpos(3) / axwidth + axpos(1);varargout{2} = (y - axlim(3)) * axpos(4) / axheight + axpos(2);else                    % Transform and return a position rectanglepos(1) = (pos(1) - axlim(1)) / axwidth * axpos(3) + axpos(1);pos(2) = (pos(2) - axlim(3)) / axheight * axpos(4) + axpos(2);pos(3) = pos(3) * axpos(3) / axwidth;pos(4) = pos(4) * axpos(4 )/ axheight;varargout{1} = pos;end% Restore axes unitsset(hAx,'Units',axun)

完整代码：

plot(x,y1);%% Add the |line| at the mean position line([mean1 mean1],get(gca,'ylim'));%% Add the |text arrow| annotation, working from data space annotation% Convert to norm fig units[xmeannfu ymeannfu]= dsxy2figxy(gca,[.5,0],[.15,.05]);% Add the annotation componentannotation('textarrow',xmeannfu,ymeannfu,'String','Mean');title({'The standard normal probability distribution',...    ' function is plotted with the mean pointed out with', ...    'a text arrow to make the figure more informative'});xlabel('x');ylabel('probability of x'); set(gcf,'Paperpositionmode','auto','Color',[1 1 1]);

结果图：