If axes are added to or removed from the figure, you will need to call full_crosshair again to update 'WindowButtonMotionFcn' accordingly. If any of the axes limits change, then the event listeners in the above code will detect and account for it. Then as you move the cursor over each axes in your figure the cursor will disappear and you will see two lines appear and track the mouse position. If you do the following: full_crosshair(gcf) ListenObj(iAxes) = addlistener(hAxes(iAxes),, num2cell(cursorPos(inAxes, 1)*, 2)) The United Nations Framework Convention on Climate Change (UNFCCC) has assessed these results as being.

During these years, Paraguay has reduced a total volume 23 million tonnes of carbon dioxide equivalent (tCO2eq) in emissions from reducing deforestation, forest degradation, enhancement of forest stocks and conservation (REDD+). We recommend using use the previous command to save the graphs. Recognising Paraguay’s REDD+ results for the years 2015-2017.

saveas(gcf, 'Example 10.tiff') This command saves the current plot directly to working directory. Type the following command in the m file. HVert(iAxes) = line(nan(1, 2), yLimits(iAxes, :), 'Parent', hAxes(iAxes)) Select Save as on the File menu in the Figure window. HHoriz(iAxes) = line(xLimits(iAxes, :), nan(1, 2), 'Parent', hAxes(iAxes)) % Create lines (not displayed yet due to NaNs) and listeners: HAxes = findall(hFigure, 'Type', 'axes') Here's a function that creates such functionality for all axes in a figure: function full_crosshair(hFigure) You can actually do this by adding a 'WindowButtonMotionFcn' to your figure (assuming nothing else is using it) that will display crosshair lines in your axes when your mouse is over it.

Gcf matlab 2017