enderton/Diagnostics/DiagPlotMakePlot.m

% DiagPlotMakePlot is called by DiagPlot and cannot be used seperately.


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%                                 Make plot                               %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if isequal(cmp,'Dif')
    plotdata = data{inrow}{1} - data{inrow}{2};
else
    plotdata = data{inrow}{incol};
end


% Make gridded plot.  This should be fixed up to allow for non-constant
% height intervals, imagesc makes everything equally spaced in the vertical
% (and in the horizontal for that matter).
if isequal(pst,'Grd')
    if isCS
        merccube_mod(xax{inrow}{incol},yax{inrow}{incol},plotdata);
    else
        imagesc(xax{inrow}{incol},yax{inrow}{incol},plotdata);
    end
    
% Make interpolated plot.
elseif isequal(pst,'Int')
    if isCS
        merccube_mod(xax{inrow}{incol},yax{inrow}{incol},plotdata);
        shading interp;
    else
        pcolor(xax{inrow}{incol},yax{inrow}{incol},plotdata);
        shading interp;
    end
    
% Make contour (non-filled) plot.  Let MATLAB determine the contour
% intervals on a differencing plot.
elseif isequal(pst,'Con')
    if isequal(cmap,'solid-dashed')
        for ii = 1:3
            cint = contint; lw = linewidth;
            if ii == 1, cint = cint(cint>0); lst = '-';  end
            if ii == 2, cint = cint(cint<0); lst = '--'; end
            if ii == 3, cint = [0,0]; lst = '-'; lw = 2.*lw; end
            [cs,h] = contour(xax{inrow}{incol},yax{inrow}{incol},...
                             plotdata,cint,['k',lst]);
            set(h,'linewidth',lw);
            if UseConLabel
                clabel(cs,h,'fontsize',fs_clabel,'rotation',0);
            end
        end
    else
        [cs,h] = contour(xax{inrow}{incol},yax{inrow}{incol},plotdata,contint);
        set(h,'linewidth',linewidth);
        if UseConLabel
            clabel(cs,h,'fontsize',fs_clabel,'rotation',0);
        end
    end
    
    
% Make contour (filled) plot.  Let MATLAB determine the contour
% intervals on a differencing plot.
elseif isequal(pst,'Cnf')
    try   [cs,h] = contourf(xax{inrow}{incol},yax{inrow}{incol},plotdata,contint);
    catch [cs,h] = contourf(xax{inrow}{incol},yax{inrow}{incol},plotdata); end
    if UseCnfLabel
        clabel(cs,h,'fontsize',fs_clabel,'rotation',0);
    end
    
% Make line plot.  If this is an overlaying comparison, cycle through the
% appropriate data of which to overlay.
elseif isequal(pst,'Lin')
    if ismember(cmp,{'OvC','OvE','OvF'})
        for intrl = 1:ntrl
            plot(xax{inrow}{intrl},data{inrow}{intrl},...
                 linecolors{intrl},'linewidth',linewidth);
        end
    else
        plot(xax{inrow}{incol},plotdata,linecolors{1},'linewidth',linewidth);
    end
    
% Unknown plot style encountered.
else
    error(['Oh dear!  Undefined PlotStyle:  ',pst]);
end
1	enderton	1.1	% DiagPlotMakePlot is called by DiagPlot and cannot be used seperately.
2
3
4			%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
5			% Make plot %
6			%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
7			if isequal(cmp,'Dif')
8			plotdata = data{inrow}{1} - data{inrow}{2};
9			else
10			plotdata = data{inrow}{incol};
11			end
12
13
14			% Make gridded plot. This should be fixed up to allow for non-constant
15			% height intervals, imagesc makes everything equally spaced in the vertical
16			% (and in the horizontal for that matter).
17			if isequal(pst,'Grd')
18			if isCS
19	enderton	1.4	merccube_mod(xax{inrow}{incol},yax{inrow}{incol},plotdata);
20	enderton	1.1	else
21			imagesc(xax{inrow}{incol},yax{inrow}{incol},plotdata);
22			end
23
24			% Make interpolated plot.
25			elseif isequal(pst,'Int')
26			if isCS
27	enderton	1.4	merccube_mod(xax{inrow}{incol},yax{inrow}{incol},plotdata);
28	enderton	1.1	shading interp;
29			else
30			pcolor(xax{inrow}{incol},yax{inrow}{incol},plotdata);
31			shading interp;
32			end
33
34			% Make contour (non-filled) plot. Let MATLAB determine the contour
35			% intervals on a differencing plot.
36			elseif isequal(pst,'Con')
37	enderton	1.6	if isequal(cmap,'solid-dashed')
38			for ii = 1:3
39			cint = contint; lw = linewidth;
40			if ii == 1, cint = cint(cint>0); lst = '-'; end
41			if ii == 2, cint = cint(cint<0); lst = '--'; end
42			if ii == 3, cint = [0,0]; lst = '-'; lw = 2.*lw; end
43			[cs,h] = contour(xax{inrow}{incol},yax{inrow}{incol},...
44			plotdata,cint,['k',lst]);
45			set(h,'linewidth',lw);
46			if UseConLabel
47			clabel(cs,h,'fontsize',fs_clabel,'rotation',0);
48			end
49			end
50			else
51			[cs,h] = contour(xax{inrow}{incol},yax{inrow}{incol},plotdata,contint);
52			set(h,'linewidth',linewidth);
53			if UseConLabel
54			clabel(cs,h,'fontsize',fs_clabel,'rotation',0);
55			end
56	enderton	1.1	end
57
58	enderton	1.6
59	enderton	1.1	% Make contour (filled) plot. Let MATLAB determine the contour
60			% intervals on a differencing plot.
61			elseif isequal(pst,'Cnf')
62	enderton	1.3	try [cs,h] = contourf(xax{inrow}{incol},yax{inrow}{incol},plotdata,contint);
63			catch [cs,h] = contourf(xax{inrow}{incol},yax{inrow}{incol},plotdata); end
64	enderton	1.1	if UseCnfLabel
65			clabel(cs,h,'fontsize',fs_clabel,'rotation',0);
66			end
67
68			% Make line plot. If this is an overlaying comparison, cycle through the
69			% appropriate data of which to overlay.
70			elseif isequal(pst,'Lin')
71			if ismember(cmp,{'OvC','OvE','OvF'})
72	enderton	1.2	for intrl = 1:ntrl
73	enderton	1.5	plot(xax{inrow}{intrl},data{inrow}{intrl},...
74			linecolors{intrl},'linewidth',linewidth);
75	enderton	1.1	end
76			else
77			plot(xax{inrow}{incol},plotdata,linecolors{1},'linewidth',linewidth);
78			end
79
80			% Unknown plot style encountered.
81			else
82			error(['Oh dear! Undefined PlotStyle: ',pst]);
83			end