[plotting] object way of editing plot properties

plotting/code/annotations.m

@@ -1,10 +1,12 @@
 time = 0.0:0.001:1.0;
 y = sin(2 * pi * 2 .* time);
 
-figure
 hold on
-set(gcf, 'Color', 'white', 'PaperUnit', 'centimeters', 'PaperSize', [4 4], ... 
-    'PaperPosition', [0 0 4 4])
+fig = figure();
+fig.PaperUnits = 'centimeters';
+fig.PaperSize = [4 4];
+fig.PaperPosition = [0.0 0.0 4, 4];
+fig.Color = 'white';
 
 plot(time, y)
 plot([0.0 1.0], [0.0 0.0], '--', 'color','k', 'linewidth', 0.75)

plotting/code/automatic_plot.m

@@ -1,26 +1,40 @@
 load('pyramidal_response.mat')
 threshold = 20; % mV
 
-hold on
+hold on;
 plot(time*1000.0, neuronal_data, 'color', [0.2 0.5 0.7], ...
-    'linewidth', 1., 'displayname', 'Membrane voltage')
+     'linewidth', 1., 'displayname', 'Membrane voltage');
 plot(spikes*1000.0, ones(size(spikes)) .* threshold, 'r.', ...
-    'markersize', 15, 'displayname', 'Spike times')
+     'markersize', 15, 'displayname', 'Spike times');
 line([time(1) time(end)], [threshold threshold], 'linestyle', '--', ...
-    'linewidth', 0.75, 'color', [0.5 0.5 0.5], 'displayname', 'Threshold')
+     'linewidth', 0.75, 'color', [0.5 0.5 0.5], 'displayname', 'Threshold');
 
-xlabel('Time [ms]', 'fontname', 'times', 'fontsize', 11)
-ylabel('Potential [mV]', 'fontname', 'times', 'fontsize', 11)
-title('ELL pyramidal neuron', 'fontname', 'times', 'fontsize', 12)
-ylim([0 40])
-xlim([500 1700])
-box('off')
-l = legend(gca,'show');
-set(l,'location','northeast', 'fontsize', 11, 'linewidth', 1.);
-set(gca, 'xminortick','on','yminortick','on')
-set(gca, 'tickdir','out', 'linewidth', 1.5, 'fontname', 'times', ...
-    'fontsize', 11)
-set(gcf, 'paperunits', 'centimeters', 'papersize', [15 7]);
-set(gcf, 'paperposition',[0.0 0.0 15, 7], 'color', 'white')
+axes = gca();
+axes.XLabel = 'Time [ms]';
+axes.YLabel = 'Potential [mV]';
+axes.Title = 'ELL pyramidal neuron';
+axes.XLim = [[500 1700];
+axes.YLim = [0 40];
+axes.XMinorTick = 'on';
+axes.YMinorTick = 'on';
+axes.TickDir = 'out';
+axes.LineWidth = 1.5;
+axes.box('off')
 
-saveas(gcf, 'spike_detection.pdf', 'pdf')
+axes.FontName = 'Times';
+axes.FontSize = 8;
+axes.TitleFontSizeMultiplier = 1.5;
+axes.LabelFontSizeMultiplier = 1.25;
+
+l = legend(axes, 'show');
+l.Location = "northeast";
+l.FontSize = 11;
+l.LineWidth = 1;
+
+fig = gcf();
+fig.PaperUnits = 'centimeters';
+fig.PaperSize = [15, 7];
+fig.PaperPosition = [0.0 0.0 15, 7];
+fig.Color = 'white';
+
+saveas(gcf, 'spike_detection.pdf', 'pdf')

plotting/code/errorbarplot.m

@@ -11,8 +11,11 @@ err_upper_asym = prctile(asym_data, 75, 1);
 err_lower_asym = prctile(asym_data, 25, 1);
 
 fig = figure();
-set(fig, 'paperunits', 'centimeters', 'papersize', [15 6.5], ...
-    'paperposition', [0.0 0.0 15, 6.5], 'color', 'white')
+fig.PaperUnits = 'centimeters';
+fig.PaperSize = [15 6.5];
+fig.PaperPosition = [0.0 0.0 15, 6.5];
+fig.Color = 'white';
+
 subplot(1,3,1)
 errorbar(x_data, avg_sym, err_sym, 'marker', 'o')
 xlim([-.5, 6.5])

plotting/code/movie_example.m

@@ -7,9 +7,11 @@ f_y = 1.5;
 dt = 2*pi/500;
 
 f = figure();
-set(f, 'visible', 'off');
-set(f, 'PaperUnits', 'centimeter', 'PaperSize', [2.5, 2.5], ...
-    'PaperPosition', [0, 0, 2.5, 2.5], 'Color', 'white')
+f.Visible = false;
+f.PaperUnits = 'centimeters';
+f.PaperSize = [2.5 2.5];
+f.PaperPosition = [0.0 0.0 2.5, 2.5];
+f.Color = 'white';
 
 writer = VideoWriter('../lecture/images/lissajous.mp4', 'MPEG-4');
 writer.FrameRate = 25;
@@ -40,8 +42,10 @@ for i = 1:max_frames
 end
 
 f = figure();
-set(f, 'PaperUnits', 'centimeter', 'PaperSize', [5, 5], ...
-    'PaperPosition', [0, 0, 5, 5], 'Color', 'white')
+f.PaperUnits = 'centimeters';
+f.PaperSize = [2.5 2.5];
+f.PaperPosition = [0.0 0.0 2.5, 2.5];
+f.Color = 'white';
 
 scatter(x_positions, y_positions, 10, 'r', 'filled');
 xlim([-1.05, 1.05])
@@ -51,4 +55,4 @@ yticks([-1., 0., 1.])
 xlabel('x')
 ylabel('y')
 
-saveas(f, '../lecture/images/lissajous.png')
+saveas(f, '../lecture/images/lissajous.png')

plotting/code/simple_plot.m

@@ -1,5 +1,5 @@
 frequency = 5;          % frequency of the sine wave in Hz
-time = 0.01:0.01:1.0;   % the time axis
+time = 0.01:0.01:1.0;   % the time axis in seconds
 signal = sin(2 * pi * time * frequency);
 
 plot(time, signal);