comparison toolboxes/MIRtoolbox1.3.2/somtoolbox/som_recolorbar.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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1 function h=som_recolorbar(p, ticks, scale, labels)
2
3 %SOM_RECOLORBAR Refresh and rescale colorbars in the current SOM_SHOW fig.
4 %
5 % h = som_recolorbar([p], [ticks], [scaling], [labels])
6 %
7 % colormap(jet); som_recolorbar
8 %
9 % Input and output arguments ([]'s are optional)
10 % [p] (vector) subplot number vector
11 % (string) 'all' (the default), 'comp' to process only
12 % component planes
13 % [ticks] (string) 'auto' or 'border', default: 'auto'
14 % (cell array) p x 1 cell array of p row vectors
15 % (vector) the same ticks are applied to all given subplots
16 % (scalar) value is at least 2: the number of ticks to show,
17 % evenly spaced between and including minimum and maximum
18 % [scale] (string) 'denormalized' or 'normalized' (the default)
19 % [labels] (cell array) p x 1 cell array of cells containing strings
20 %
21 % h (vector) handles to the colorbar objects.
22 %
23 % This function refreshes the colorbars in the figure created by SOM_SHOW.
24 % Refreshing is necessary if you have changed the colormap.
25 % Each colorbar has letter 'd' or 'n' and possibly 'u' as label. Letter 'd' means
26 % that the scale is denormalized, letter 'n' that the scale is
27 % normalized, and 'u' is for user specified labels.
28 %
29 % For more help, try 'type som_recolorbar' or check out online documentation.
30 % See also SOM_SHOW
31
32 %%%%%%%%%%%%% DETAILED DESCRIPTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
33 %
34 % som_recolorbar
35 %
36 % PURPOSE
37 %
38 % Refreshes the the colorbars in the figure.
39 %
40 % SYNTAX
41 %
42 % h = som_recolorbar
43 % h = som_recolorbar(p)
44 % h = som_recolorbar(p, ticks)
45 % h = som_recolorbar(p, ticks, scaling)
46 % h = som_recolorbar(p, ticks, scaling, labels)
47 %
48 % DESCRIPTION
49 %
50 % This function refreshes the colorbars in the figure created by SOM_SHOW.
51 % Refreshing is necessary if you have changed the colormap. Each colorbar
52 % has letter 'd' or 'n' and possibly 'u' as label. Letter 'd' means that the
53 % scale is denormalized, letter 'n' that the scale is normalized, and 'u' is
54 % for user specified labels.
55 %
56 % Different argument combinations:
57 %
58 % 1. Argument 'ticks' has string values:
59 % - 'auto' for input argument ticks sets the automatic tick
60 % marking on (factory default).
61 % - 'border' sets the tick marks to the color borders. This is
62 % convenient if there are only few colors in use.
63 %
64 % Argument scale controls the scaling of the tick mark label values.
65 % 'normalized' means that the tick mark labels are directly the values
66 % of the ticks, that is, they refer to the map codebook values.
67 % Value 'denormalized' scales the tick mark label values back to the original
68 % data scaling. This is made using som_denormalize_data.
69 %
70 % 2. Argument 'ticks' is a cell array of vectors:
71 % The values are set to be the tick marks to the colorbar specified by p.
72 % - if arg. scale is 'normalized' the ticks are set directly to the colorbar.
73 % - if arg. scale is 'denormalized' the tick values are first normalized
74 % in the same way as the data.
75 %
76 % 3. Argument 'ticks' is a vector
77 % As above, but the same values are used for all (given) subplots.
78 %
79 % 4. Argument 'ticks' is a scalar
80 % The ticks are set to equally spaced values between (and including)
81 % minimum and maximum.
82 %
83 % Argument 'labels' specify user defined labels to the tick marks
84 %
85 % NOTE: ticks are rounded to contain three significant digits.
86 %
87 % OPTIONAL INPUT ARGUMENTS
88 %
89 % p (vector) subplot number vector
90 % (string) 'all' (the default), 'comp' to effect only
91 % component planes
92 %
93 % ticks (string) 'auto' or 'border', default: 'auto'
94 % (cell array) p x 1 cell array of p row vectors
95 % (vector) as the cell array, but the same vector is
96 % applied to all given subplots
97 % (scalar) the number of ticks to show: these are
98 % evenly space between minimum and maximum
99 %
100 % scale (string) 'denormalized' or 'normalized' (the default)
101 %
102 % labels (cell array) p x 1 cell array of cells containing strings
103 %
104 % OUTPUT ARGUMENTS
105 %
106 % h (vector) handles to the colorbar objects.
107 %
108 % EXAMPLE
109 %
110 % colormap(jet(5)); som_recolorbar('all','border','denormalized')
111 % % Uses five colors and sets the ticks on the color borders.
112 % % Tick label values are denormalized back to the original data scaling
113 %
114 % colormap(copper(64));som_recolorbar
115 % % changes to colormap copper and resets default ticking and labeling
116 %
117 % som_recolorbar('all',3)
118 % % To put 3 ticks to each colorbar so that minimum, mean and
119 % % maximum values on the colorbar are shown.
120 %
121 % som_recolorbar([1 3],{[0.1 0.2 0.3];[0.2 0.4]},'denormalized')
122 % % Ticks colorbar 1 by first normalizing values 0.1, 0.2, 0.3 and
123 % % then setting the ticks to the colorbar. Labels are of course
124 % % 0.1, 0.2 and 0.3. Ticks colorbar 3 in the same way using values
125 % % 0.2 and 0.4.
126 %
127 % som_recolorbar([2 4],{[0.1 0.2];[-1.2 3]},'normalized',{{'1' '2'};{'a' 'b'}})
128 % % Ticks colorbar 2 and 4 directly to the specified values. Sets labels
129 % % '1' '2' and 'a' 'b' to the ticks.
130 %
131 % som_recolorbar([2 4],{[0.1 0.2];[-1.2 3]},'normalized',{{'1' '2'};{'a' 'b'}})
132 % % as previous one, but normalizes tick values first
133 %
134 % SEE ALSO
135 %
136 % som_show Basic SOM visualization.
137 % som_normalize Normalization operations.
138 % som_denormalize Denormalization operations.
139
140 % Copyright (c) 1997-2000 by the SOM toolbox programming team.
141 % http://www.cis.hut.fi/projects/somtoolbox/
142
143 % Version 1.0beta Johan 061197
144 % Version 2.0beta juuso 151199 130300 160600 181101
145
146 %% Init & check %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
147
148 error(nargchk(0, 4, nargin)) % check no. of input args
149
150 % Check the subplot vector p and get the handles, exit if error
151 % Default subplot vector is 'all'
152
153 if nargin < 1 | isempty(p) % default p
154 p= 'all';
155 end
156
157 % check SOM_SHOW and get the figure data. Exit, if error
158
159 [handles, msg, lattice, msize, dim, normalization, comps]= ...
160 vis_som_show_data(p, gcf);
161 error(msg);
162
163 if nargin < 2 | isempty(ticks) % default tick mode is 'auto'
164 ticks = 'auto';
165 elseif isa(ticks,'cell') % check for cell
166 tickValues = ticks;
167 ticks= 'explicit';
168 elseif isa(ticks,'double') & length(ticks)>1,
169 tickValues = {ticks};
170 ticks = 'explicit';
171 elseif isa(ticks,'double') & length(ticks)==1,
172 tickValues = max(2,round(ticks));
173 ticks = 'evenspace';
174 end
175 if ~ischar(ticks) % invalid argument
176 error('The second argument should be a string or a cell array of vectors.');
177 end
178
179 switch ticks % check ticks
180 case {'auto','border'}, % nill
181 case 'evenspace',
182 tickValues_tmp = cell(length(handles),1);
183 for i=1:length(handles), tickValues_tmp{i} = tickValues; end
184 tickValues = tickValues_tmp;
185 case 'explicit',
186 if length(tickValues)==1 & length(handles)>1,
187 tickValues_tmp = cell(length(handles),1);
188 for i=1:length(handles), tickValues_tmp{i} = tickValues{1}; end
189 tickValues = tickValues_tmp;
190 end
191 if length(tickValues) ~= length(handles),
192 error('Cell containing the ticks has wrong size.')
193 end
194 otherwise
195 error('''auto'' or ''border'' expected for the second argument.');
196 end
197
198 if nargin < 3 | isempty(scale) % default mode is normalized
199 scale= 'normalized';
200 end
201 if ~ischar(scale) % check scale type
202 error('The third argument should be a string.');
203 end
204 switch scale % check the string
205 case { 'normalized', 'denormalized'} % ok
206 case 'n', scale = 'normalized';
207 case 'd', scale = 'denormalized';
208 otherwise
209 error('''normalized'' or ''denormalized'' expected for the third argument.')
210 end
211
212 if nargin < 4 | isempty(labels) % default is autolabeling
213 labels = 'auto';
214 elseif ~isa(labels,'cell') % check type
215 error('The fourth argument should be a cell array of cells containing strings.')
216 else
217 labelValues=labels; % set labels
218 labels = 'explicit';
219 if length(labelValues) == length(handles) % check size
220 ;
221 else
222 error('Cell containing the labels has wrong size')
223 end
224 end
225
226 %% Action %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
227
228 n = size(colormap,1)+1; % number of colors+1
229 h_ = zeros(length(handles),1);
230
231 for i=1:length(handles), % MAIN LOOP BEGINS
232 axes(handles(i)); % set axes, refres colorbar and
233 if comps(i)>=0,
234 h_(i)=colorbar; % get colorbar handles
235
236 colorbardir=get(h_(i),'YaxisLocation');
237 switch colorbardir % get colorbar direction &
238 case 'left' % set some strings
239 Tick='Xtick'; Lim='Xlim'; LabelMode='XTickLabelMode'; Label='XtickLabel';
240 case 'right'
241 Tick='Ytick'; Lim='Ylim'; LabelMode='YTickLabelMode'; Label='YtickLabel';
242 otherwise
243 error('Internal error: unknown value for YaxisLocation'); % fatal
244 end
245
246 switch ticks
247 case 'auto'
248 set(h_(i),LabelMode,'auto'); % factory default ticking
249 tickValues{i}=get(h_(i),Tick); % get tick values
250 case 'border'
251 limit=caxis;
252 t=linspace(limit(1),limit(2),n); % set n ticks between min and max
253 t([1 length(t)])=get(h_(i),Lim); % <- caxis is not necerraily the same
254 tickValues{i}=t; % as the colorbar min & max values
255 case 'evenspace'
256 limit = caxis;
257 t = linspace(limit(1),limit(2),tickValues{i});
258 t([1 length(t)])=get(h_(i),Lim);
259 tickValues{i}=t;
260 case 'explicit'
261 if comps(i)>0,
262 if strcmp(scale,'normalized') % normalize tick values
263 tickValues{i} = som_normalize(tickValues{i},normalization{comps(i)});
264 end
265 end
266
267 otherwise
268 error('Internal error: unknown tick type') % this shouldn't happen
269 end
270
271 %tickValues{i} = epsto0(tickValues{i});
272
273 switch labels
274 case 'auto'
275 switch scale
276 case 'normalized'
277 labelValues{i} = round2(tickValues{i}); % use the raw ones
278 case 'denormalized' % denormalize tick values
279 if comps(i)>0,
280 labelValues{i} = som_denormalize(tickValues{i},normalization{comps(i)});
281 labelValues{i} = round2(labelValues{i}); % round the scale
282 else
283 labelValues{i} = round2(tickValues{i});
284 end
285 otherwise
286 error('Internal error: unknown scale type'); % this shouldn't happen
287 end
288 case 'explicit'
289 ; % they are there already
290 otherwise
291 error('Internal error: unknown label type'); % this shouldn't happen
292 end
293
294 set(h_(i),Tick,tickValues{i}); % set ticks and labels
295 set(h_(i),Label,labelValues{i});
296
297 if comps(i)>0,
298 % Label the colorbar with letter 'n' if normalized, with letter 'd'
299 % if denormalized and 'u' if the labels are user specified
300 mem_axes=gca; axes(h_(i));
301 ch=' ';
302 if strcmp(scale,'normalized'), ch(1)='n'; end
303 if strcmp(scale,'denormalized'), ch(1)='d'; end
304 if strcmp(labels,'explicit'), ch(2)='u'; end
305 xlabel(ch);
306 axes(mem_axes);
307 end
308 end
309 end % MAIN LOOP ENDS
310
311
312 %% Build output %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
313
314 if nargout>0
315 h=h_;
316 end
317
318 return;
319
320 %% Subfunction: ROUND2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
321 % ROUND2 rounds the labels to tol significant digits
322
323 function r=round2(d)
324
325 tol=3;
326
327 zero=(d==0);
328 d(zero)=1;
329 k=floor(log10(abs(d)))-(tol-1);
330 r=round(d./10.^k).*10.^k;
331 r(zero)=0;
332 %r=epsto0(r);
333
334 %% Subfunction: ISVECTOR %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
335
336 function t=isvector(v)
337 % ISVECTOR checks if a matrix is a vector or not
338
339 t=(ndims(v) == 2 & min(size(v)) == 1) & isnumeric(v);
340
341 %% Subfunction: EPSTO0
342
343 function t=epsto0(t)
344 % EPSTO0 checks whether first tick value is *very* close to zero,
345 % if so sets it to zero.
346
347 if (t(end)-t(1))/t(end) > 1-0.005 & abs(t(1))<1, t(1) = 0; end
348
349
350
351