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67 | 67 | caxis auto |
68 | 68 | cmap_temp = colormap(jet); |
69 | 69 | rgb_meas = zeros(size(cmap_temp)); |
| 70 | + meas_val = val./val; |
| 71 | + meas_val(isnan(meas_val)) = 0.1; |
70 | 72 | else |
71 | 73 | caxis([lim_min lim_max]); |
72 | 74 | cmap_temp = colormap(jet); |
73 | 75 | rgb_meas = interp1(linspace(lim_min, lim_max, size(cmap_temp, 1)), ... |
74 | 76 | cmap_temp, val); % colorbar from minimum to maximum value of the measure result |
| 77 | + meas_val = (val - lim_min)./(lim_max - lim_min) + 1; % size normalized by minimum and maximum value of the measure result |
| 78 | + meas_val(isnan(meas_val)) = 0.1; |
| 79 | + meas_val(meas_val <= 0) = 0.1; |
75 | 80 | end |
76 | 81 | if pf.get('SPHS') |
77 | 82 | sph_dict = pf.get('SPH_DICT'); |
78 | 83 | for i = 1:sph_dict.length |
79 | 84 | sph = sph_dict.getItem(i); |
80 | 85 | default_value = sph.getPropDefault('SPHERESIZE'); |
81 | | - meas_val = (val(i) - lim_min) / (lim_max - lim_min); % size normalized by minimum and maximum value of the measure result |
82 | | - meas_val(isnan(meas_val)) = 0.1; |
83 | | - meas_val(meas_val <= 0) = 0.1; |
84 | | - sph.set('SPHERESIZE', default_value * (meas_val + 1)); |
| 86 | + sph.set('SPHERESIZE', default_value * meas_val(i)); |
85 | 87 | sph.set('FaceColor', rgb_meas(i, :)); |
86 | 88 | end |
87 | 89 | pf.update_gui_tbl_sph() |
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91 | 93 | for i = 1:sym_dict.length |
92 | 94 | sym = sym_dict.getItem(i); |
93 | 95 | default_value = sym.getPropDefault('SYMBOLSIZE'); |
94 | | - meas_val = (val(i) - lim_min) / (lim_max - lim_min); % size normalized by minimum and maximum value of the measure result |
95 | | - meas_val(isnan(meas_val)) = 0.1; |
96 | | - meas_val(meas_val <= 0) = 0.1; |
97 | | - sym.set('SYMBOLSIZE', default_value * (meas_val + 1)); |
| 96 | + sym.set('SYMBOLSIZE', default_value * meas_val(i)); |
98 | 97 | sym.set('FaceColor', rgb_meas(i, :)); |
99 | 98 | end |
100 | 99 | pf.update_gui_tbl_sym() |
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