When using yyaxis is there a way to plot the right yaxis data behind the left yaxis data?
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I am trying to plot data on two different axes. I want the data associated with the right y axis (red lines) to plot behind the data points associated with the left y axis. Right now the right axis data is plotting in the front even though I run those lines first. Is there a way to fix this? I don't want to change the y axes (pH makes more sense on the right). Thank you for any advice!
This is how I am plotting now:
figure
yyaxis right
hold on
box on
plot(MX,PH2_1d,'-','color','r','linewidth',3)
plot(MX,poPH3_1d,':','color','r','linewidth',3)
ylim([7.85 8.35])
ylabel('pH')
yyaxis left
hold on
plot(MX,flo_ugL,'.','Color',[.6 .6 .6],'markersize',1)
errorbar(n_sdn,nflo_mean,nflo_std,'.','markersize',22,'color',[0 .4 .4],'capsize',0,'linewidth',1)
plot(date_nf_off,fronds2,'.','markersize',49,'Color','k')
ylabel('[Chlorophyll-a]')
ylim([0 30])
x = datenum('June-27-2018'):7:datenum('Oct-3-2018');
set(gca, 'XTick', x);
datetick('x','mm/dd','keepticks');
ax=gca; % make y axes black
ax.YAxis(1).Color='k'
ax.YAxis(2).Color='k'
set(gca,'fontsize',font)
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Antworten (1)
Tommy
am 4 Apr. 2020
Bearbeitet: Tommy
am 26 Mai 2020
Normally uistack would work, but see here:
You might alternatively consider plotting your data on two separate axes, with the top axes transparent ('Color' set to 'none'):
f = figure;
ax1 = axes(f, 'NextPlot', 'add', 'YAxisLocation', 'right', 'Box', 'on');
p1 = plot(ax1, 1:100, 10*rand(100,1),'-','color','r','linewidth',3) ;
p2 = plot(ax1, 1:100, 10*rand(100,1),':','color','r','linewidth',3);
ylabel(ax1, 'more random numbers')
xlabel(ax1, 'index')
ax2 = axes(f, 'NextPlot', 'add', 'Color', 'none');
plot(ax2, 1:100, rand(100,1),'.','Color',[.6 .6 .6],'markersize',1)
plot(ax2, 1:100, rand(100,1),'.','markersize',49,'Color','k')
set(ax2, 'XTick', []);
set(ax2, 'XTickLabel', []);
ylabel(ax2, 'random numbers')
('NextPlot' set to 'add' acts like hold on and prevents properties such as YAxisLocation from being reset when you call plot).
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