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Submodule +HCP
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| % What can Panel do? | ||
| % | ||
| % This demo just shows off what Panel can do. It is not | ||
| % intended as part of the tutorial - this begins in | ||
| % demopanel2. | ||
| % | ||
| % (a) It's easy to create a complex layout | ||
| % (b) You can populate it as you would a subplot layout | ||
| % | ||
| % Now, move on to demopanel2 to learn how to use panel. | ||
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| %% (a) | ||
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| % clf | ||
| figure(1) | ||
| clf | ||
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| % create panel | ||
| p = panel(); | ||
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| % layout a variety of sub-panels | ||
| p.pack('h', {1/3 []}) | ||
| p(1).pack({2/3 []}); | ||
| p(1,1).pack(3, 2); | ||
| p(2).pack(6, 2); | ||
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| % set margins | ||
| p.de.margin = 2; | ||
| p(1,1).marginbottom = 12; | ||
| p(2).marginleft = 20; | ||
| p.margin = [13 10 2 2]; | ||
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| % and some properties | ||
| p.fontsize = 8; | ||
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| %% (b) | ||
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| % data set 1 | ||
| for m = 1:3 | ||
| for n = 1:2 | ||
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| % prepare sample data | ||
| t = (0:99) / 100; | ||
| s1 = sin(t * 2 * pi * m); | ||
| s2 = sin(t * 2 * pi * n * 2); | ||
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| % select axis - see data set 2 for an alternative way to | ||
| % access sub-panels | ||
| p(1,1,m,n).select(); | ||
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| % plot | ||
| plot(t, s1, 'r', 'linewidth', 1); | ||
| hold on | ||
| plot(t, s2, 'b', 'linewidth', 1); | ||
| plot(t, s1+s2, 'k', 'linewidth', 1); | ||
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| % finalise axis | ||
| axis([0 1 -2.2 2.2]); | ||
| set(gca, 'xtick', [], 'ytick', []); | ||
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| end | ||
| end | ||
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| % label axis group | ||
| p(1,1).xlabel('time (unitless)'); | ||
| p(1,1).ylabel('example data series'); | ||
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| % data set 2 | ||
| source = 'XYZXYZ'; | ||
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| % an alternative way to access sub-panels is to first get a | ||
| % reference to the parent... | ||
| q = p(2); | ||
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| % loop | ||
| for m = 1:6 | ||
| for n = 1:2 | ||
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| % select axis - these two lines do the same thing (see | ||
| % above) | ||
| % p(2, m, n).select(); | ||
| q(m, n).select(); | ||
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| % prepare sample data | ||
| data = randn(100, 1) * 0.4; | ||
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| % do stats | ||
| stats = []; | ||
| stats.source = source(m); | ||
| stats.binrange = [-1 1]; | ||
| stats.xtick = [-0.8:0.4:0.8]; | ||
| stats.ytick = [0 20]; | ||
| stats.bincens = -0.9:0.2:0.9; | ||
| stats.values = data; | ||
| stats.freq = hist(data, stats.bincens); | ||
| stats.percfreq = stats.freq / length(data) * 100; | ||
| stats.percpeak = 30; | ||
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| % plot | ||
| demopanel_minihist(stats, m == 6, n == 1); | ||
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| end | ||
| end | ||
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| % label axis group | ||
| p(2).xlabel('data value (furlongs per fortnight)'); | ||
| p(2).ylabel('normalised frequency (%)'); | ||
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| % data set 3 | ||
| p(1, 2).select(); | ||
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| % prepare sample data | ||
| r1 = rand(100, 1); | ||
| r2 = randn(100, 1); | ||
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| % plot | ||
| plot(r1, r1+0.2*r2, 'k.') | ||
| hold on | ||
| plot([0 1], [0 1], 'r-') | ||
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| % finalise axis | ||
| xlabel('our predictions'); | ||
| ylabel('actual measurements') | ||
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| % Basic use. Panel is just like subplot. | ||
| % | ||
| % (a) Create a grid of panels. | ||
| % (b) Plot into each sub-panel. | ||
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| %% (a) | ||
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| % create a NxN grid in gcf (this will create a figure, if | ||
| % none is open). | ||
| % | ||
| % you can pass the figure handle to the constructor if you | ||
| % need to attach the panel to a particular figure, as: | ||
| % | ||
| % p = panel(h_figure) | ||
| % | ||
| % NB: you can use this code to compare using panel() with | ||
| % using subplot(). you should find they do much the same | ||
| % thing in this case, but with a slightly different layout. | ||
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| N = 2; | ||
| use_panel = 1; | ||
| clf | ||
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| % PREPARE | ||
| if use_panel | ||
| p = panel(); | ||
| p.pack(N, N); | ||
| end | ||
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| %% (b) | ||
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| % plot into each panel in turn | ||
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| for m = 1:N | ||
| for n = 1:N | ||
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| % select one of the NxN grid of sub-panels | ||
| if use_panel | ||
| p(m, n).select(); | ||
| else | ||
| subplot(N, N, m + (n-1) * N); | ||
| end | ||
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| % plot some data | ||
| plot(randn(100,1)); | ||
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| % you can use all the usual calls | ||
| xlabel('sample number'); | ||
| ylabel('data'); | ||
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| % and so on - generally, you can treat the axis panel | ||
| % like any other axis | ||
| axis([0 100 -3 3]); | ||
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| end | ||
| end | ||
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| % You can nest Panels as much as you like. | ||
| % | ||
| % (a) Create a grid of panels. | ||
| % (b) Plot into three of the sub-panels. | ||
| % (c) Create another grid in the fourth. | ||
| % (d) Plot into each of these. | ||
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| %% (a) | ||
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| % create a panel in gcf. | ||
| % | ||
| % "p" is called the "root panel", which is the special panel | ||
| % whose parent is the figure window (usually), rather than | ||
| % another panel. | ||
| p = panel(); | ||
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| % pack a 2x2 grid of panels into it. | ||
| p.pack(2, 2); | ||
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| %% (b) | ||
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| % plot into the first three panels | ||
| for m = 1:2 | ||
| for n = 1:2 | ||
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| % skip the 2,2 panel | ||
| if m == 2 && n == 2 | ||
| break | ||
| end | ||
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| % select the panel (create an axis, and make that axis | ||
| % current) | ||
| p(m, n).select(); | ||
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| % plot some stuff | ||
| plot(randn(100,1)); | ||
| xlabel('sample number'); | ||
| ylabel('data'); | ||
| axis([0 100 -3 3]); | ||
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| end | ||
| end | ||
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| %% (c) | ||
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| % pack a further grid into p(2, 2) | ||
| % | ||
| % all panels start as "uncommitted panels" (even the root | ||
| % panel). the first time we "select()" one, we commit it as | ||
| % an "axis panel". the first time we "pack()" one, we commit | ||
| % it as a "parent panel". once committed, it can't change | ||
| % into the other sort. | ||
| % | ||
| % this call commits p(2,2) as a parent panel - the six | ||
| % children it creates all start as uncommitted panels. | ||
| p(2, 2).pack(2, 3); | ||
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| %% (d) | ||
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| % plot into the six new sub-sub-panels | ||
| for m = 1:2 | ||
| for n = 1:3 | ||
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| % select the panel - this commits it as an axis panel | ||
| p(2, 2, m, n).select(); | ||
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| % plot some stuff | ||
| plot(randn(100,1)); | ||
| xlabel('sample number'); | ||
| ylabel('data'); | ||
| axis([0 100 -3 3]); | ||
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| end | ||
| end | ||
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| % note this alternative, equivalent, way to reference a | ||
| % sub-panel | ||
| p_22 = p(2, 2); | ||
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| % plot another bit of data into the six sub-sub-panels | ||
| for m = 1:2 | ||
| for n = 1:3 | ||
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| % select the panel | ||
| p_22(m, n).select(); | ||
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| % plot more stuff | ||
| hold on | ||
| plot(randn(100,1)*0.3, 'r'); | ||
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| end | ||
| end | ||
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