2 Commits
Author SHA1 Message Date
kdee 3efec27b57 project fix 2026-10-07 23:22:41 -07:00
kdee 742b09a459 thesis figure plotting uniformity 2026-10-07 23:22:16 -07:00
8 changed files with 134 additions and 3 deletions

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+2 -2
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@@ -8,8 +8,8 @@ function f = plotParameters(obj, f)
end end
% Distance and tilt sample points % Distance and tilt sample points
d = 0:(obj.alphaDist / 1000):(2*obj.alphaDist); d = 0:(obj.alphaDist / 200):(2*obj.alphaDist);
t = -90:0.1:90; t = -90:0.5:90;
% Sample membership functions % Sample membership functions
d_x = obj.distanceMembership(d); d_x = obj.distanceMembership(d);
@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<Info>
<Category UUID="FileClassCategory">
<Label UUID="design"/>
</Category>
</Info>
@@ -0,0 +1,2 @@
<?xml version="1.0" encoding="UTF-8"?>
<Info location="okabeIto.m" type="File"/>
@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<Info>
<Category UUID="FileClassCategory">
<Label UUID="design"/>
</Category>
</Info>
@@ -0,0 +1,2 @@
<?xml version="1.0" encoding="UTF-8"?>
<Info location="exportThesisFig.m" type="File"/>
+8 -1
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@@ -68,11 +68,18 @@ classdef test_sigmoidSensor < matlab.unittest.TestCase
s(1) = s(1).initialize(alphaDist(1), betaDist(1), alphaTilt(1), betaTilt(1)); s(1) = s(1).initialize(alphaDist(1), betaDist(1), alphaTilt(1), betaTilt(1));
s(2) = s(2).initialize(alphaDist(2), betaDist(2), alphaTilt(2), betaTilt(2)); s(2) = s(2).initialize(alphaDist(2), betaDist(2), alphaTilt(2), betaTilt(2));
set(groot, 'defaultTextInterpreter', 'latex');
set(groot, 'defaultAxesTickLabelInterpreter', 'latex');
set(groot, 'defaultLegendInterpreter', 'latex');
set(groot, 'defaultColorbarTickLabelInterpreter', 'latex');
set(groot, 'defaultAxesFontSize', 10); % = \footnotesize in a 12pt doc
set(groot, 'defaultTextFontSize', 10);
% Plot % Plot
f = s(1).plotParameters; f = s(1).plotParameters;
f = s(2).plotParameters(f); f = s(2).plotParameters(f);
legend(["Sensor 1"; "Sensor 2"]); % f = exportThesisFig(f, "sigmoidmodel", 3/4);
end end
end end
+97
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@@ -0,0 +1,97 @@
function f = exportThesisFig(f, name, aspect, opts)
% Restyle a figure for print and export it as a vector PDF sized for the
% thesis, so it can be included at 1:1 (\includegraphics with no width).
%
% exportThesisFig(f, "sigmoidmodel") % full width, 4:3
% exportThesisFig(f, "traj", 1, Width=230) % half-width subfigure
% exportThesisFig(f, "traj", 3/4, LineStyles=true) % distinguishable in grayscale
%
% The figure is modified in place.
arguments (Input)
f (1, 1) {mustBeA(f, "matlab.ui.Figure")};
name (1, 1) string;
aspect (1, 1) double {mustBePositive} = 3/4;
opts.Width (1, 1) double {mustBePositive} = 469; % points; \the\hsize
opts.FontSize (1, 1) double {mustBePositive} = 10; % \footnotesize in a 12pt doc
opts.LineWidth (1, 1) double {mustBePositive} = 2; % data lines, points
opts.AxesLineWidth (1, 1) double {mustBePositive} = 0.75;
opts.MarkerSize (1, 1) double {mustBePositive} = 4;
opts.Palette (:, 3) double = okabeIto(); % colorblind- and print-safe
opts.Recolor (1, 1) logical = true; % also override explicitly set colors
opts.LineStyles (1, 1) logical = false; % cycle line styles per series
opts.Raster (1, 1) logical = false; % for very dense plots
opts.OutDir (1, 1) string = matlab.project.rootProject().RootFolder;
end
arguments (Output)
f (1, 1) {mustBeA(f, "matlab.ui.Figure")};
end
styles = ["-", "--", ":", "-."];
nColors = size(opts.Palette, 1);
% Text
set(findall(f, '-property', 'Interpreter'), 'Interpreter', 'latex');
set(findall(f, '-property', 'TickLabelInterpreter'), 'TickLabelInterpreter', 'latex');
set(findall(f, '-property', 'FontSize'), 'FontSize', opts.FontSize);
% Axes: frame width, and palette for any series that pick their color automatically
for ax = findall(f, 'Type', 'axes')'
ax.LineWidth = opts.AxesLineWidth;
ax.ColorOrder = opts.Palette;
if opts.LineStyles
ax.LineStyleOrder = styles;
end
end
% Data series. SeriesIndex is the series' position in its axes' color
% order, so it keeps the palette assignment consistent with the legend.
series = findall(f, '-property', 'SeriesIndex');
for s = series'
k = s.SeriesIndex;
if ~isnumeric(k) || k < 1
continue; % series excluded from the color order
end
c = opts.Palette(mod(k - 1, nColors) + 1, :);
% Line-type series have a single Color; bars/areas have Face/EdgeColor
% instead, and keep their thin default outline
isLine = isprop(s, 'Color');
isScatter = isa(s, 'matlab.graphics.chart.primitive.Scatter');
if isLine || isScatter
s.LineWidth = opts.LineWidth;
end
if isprop(s, 'MarkerSize')
s.MarkerSize = opts.MarkerSize;
end
if opts.LineStyles && isLine && ~strcmp(s.LineStyle, 'none')
s.LineStyle = styles(mod(k - 1, numel(styles)) + 1);
end
if opts.Recolor
if isLine
s.Color = c; % line, stair, errorbar, function plots
end
if isprop(s, 'FaceColor') && ~ischar(s.FaceColor)
s.FaceColor = c; % bar, area, histogram (leaves 'none'/'flat' alone)
end
if isScatter && size(s.CData, 1) <= 1
s.CData = c; % single-color scatter (leaves colormapped ones alone)
end
end
end
% Page size in points so the PDF is exactly Width wide, independent of
% the on-screen window (which the window manager may resize)
w = opts.Width;
h = aspect * w;
f.PaperUnits = 'points';
f.PaperPositionMode = 'manual';
f.PaperPosition = [0, 0, w, h];
f.PaperSize = [w, h];
if opts.Raster
renderer = {'-image', '-r300'};
else
renderer = {'-vector'};
end
print(f, fullfile(opts.OutDir, name + ".pdf"), '-dpdf', renderer{:});
end
+11
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@@ -0,0 +1,11 @@
function p = okabeIto()
% Okabe & Ito (2008) colorblind-safe palette, minus yellow (too light on
% white paper). Returns an N-by-3 RGB matrix, e.g. colororder(okabeIto()).
p = [ 0, 114, 178; % blue
213, 94, 0; % vermillion
0, 158, 115; % bluish green
204, 121, 167; % reddish purple
86, 180, 233; % sky blue
230, 159, 0; % orange
0, 0, 0] / 255;
end