1 | %'plot_field': plot any field with the structure defined in the uvmat package
|
---|
2 | %------------------------------------------------------------------------
|
---|
3 | %
|
---|
4 | % This function is used by uvmat to plot fields. It automatically chooses the representation
|
---|
5 | % appropriate to the input field structure:
|
---|
6 | % 2D vector fields are represented by arrows, 2D scalar fields by grey scale images or contour plots, 1D fields are represented by usual plot with (abscissa, ordinate).
|
---|
7 | % The input field structure is first tested by check_field_structure.m,
|
---|
8 | % then split into blocks of related variables by find_field_cells.m.
|
---|
9 | % The dimensionality of each block is obtained by this function
|
---|
10 | % considering the presence of variables with the attribute .Role='coord_x'
|
---|
11 | % and/or coord_y and/or coord_z (case of unstructured coordinates), or
|
---|
12 | % dimension variables (case of matrices).
|
---|
13 | %
|
---|
14 | % function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam,PosColorbar)
|
---|
15 | %
|
---|
16 | % OUPUT:
|
---|
17 | % PlotType: type of plot: 'text','line'(curve plot),'plane':2D view,'volume', or errormsg
|
---|
18 | % PlotParamOut: structure, representing the updated plotting parameters, in case of automatic scaling
|
---|
19 | % haxes: handle of the plotting axis, when a new figure is created.
|
---|
20 | %
|
---|
21 | %INPUT
|
---|
22 | % Data: structure describing the field to plot
|
---|
23 | % (optional) .ListGlobalAttribute: cell listing the names of the global attributes
|
---|
24 | % .Att_1,Att_2... : values of the global attributes
|
---|
25 | % (requested) .ListVarName: list of variable names to select (cell array of char strings {'VarName1', 'VarName2',...} )
|
---|
26 | % (requested) .VarDimName: list of dimension names for each element of .ListVarName (cell array of string cells)
|
---|
27 | % .VarAttribute: cell of attributes for each element of .ListVarName (cell array of structures of the form VarAtt.key=value)
|
---|
28 | % (requested) .Var1, .Var2....: variables (Matlab arrays) with names listed in .ListVarName
|
---|
29 | %
|
---|
30 | % Variable attribute .Role :
|
---|
31 | % The only variable attribute used for plotting purpose is .Role which can take
|
---|
32 | % the values
|
---|
33 | % Role = 'scalar': (default) represents a scalar field
|
---|
34 | % = 'coord_x', 'coord_y', 'coord_z': represents a separate set of
|
---|
35 | % unstructured coordinate x, y or z
|
---|
36 | % = 'vector': represents a vector field whose number of components
|
---|
37 | % is given by the last dimension (called 'nb_dim')
|
---|
38 | % = 'vector_x', 'vector_y', 'vector_z' :represents the x, y or z component of a vector
|
---|
39 | % = 'warnflag' : provides a warning flag about the quality of data in a 'Field', default=0, no warning
|
---|
40 | % = 'errorflag': provides an error flag marking false data,
|
---|
41 | % default=0, no error. Different non zero values can represent different criteria of elimination.
|
---|
42 | %
|
---|
43 | % haxes: handle of the plotting axes to update with the new plot. If this input is absent or not a valid axes handle, a new figure is created.
|
---|
44 | %
|
---|
45 | % PlotParam: structure containing the parameters for plotting, as read on the uvmat or view_field GUI (by function 'read_GUI.m').
|
---|
46 | % Contains three substructures:
|
---|
47 | % .Axes: coordinate parameters:
|
---|
48 | % .CheckFixLimits:=0 (default) adjust axes limit to the X,Y data, =1: preserves the previous axes limits
|
---|
49 | % .Axes.CheckFixAspectRatio: =0 (default):automatic adjustment of the graph, keep 1 to 1 aspect ratio for x and y scales.
|
---|
50 | % .Axes.AspectRatio: imposed aspect ratio y/x of axis unit plots
|
---|
51 | % --scalars--
|
---|
52 | % .Scalar.MaxA: upper bound (saturation color) for the scalar representation, max(field) by default
|
---|
53 | % .Scalar.MinA: lower bound (saturation) for the scalar representation, min(field) by default
|
---|
54 | % .Scalar.CheckFixScal: =0 (default) lower and upper bounds of the scalar representation set to the min and max of the field
|
---|
55 | % =1 lower and upper bound imposed by .AMax and .MinA
|
---|
56 | % .Scalar.CheckBW= 1: black and white representation imposed, =0 color imposed (color scale or rgb),
|
---|
57 | % =[]: automatic (B/W for integer positive scalars, color else)
|
---|
58 | % .Scalar.CheckContours= 1: represent scalars by contour plots (Matlab function 'contour'); =0 by default
|
---|
59 | % .IncrA : contour interval
|
---|
60 | % -- vectors--
|
---|
61 | % .Vectors.VecScale: scale for the vector representation
|
---|
62 | % .Vectors.CheckFixVec: =0 (default) automatic length for vector representation, =1: length set by .VecScale
|
---|
63 | % .Vectors.CheckHideFalse= 0 (default) false vectors represented in magenta, =1: false vectors not represented;
|
---|
64 | % .Vectors.CheckHideWarning= 0 (default) vectors marked by warnflag~=0 marked in black, 1: no warning representation;
|
---|
65 | % .Vectors.CheckDecimate4 = 0 (default) all vectors reprtesented, =1: half of the vectors represented along each coordinate
|
---|
66 | % -- vector color--
|
---|
67 | % .Vectors.ColorCode= 'black','white': imposed color (default ='blue')
|
---|
68 | % 'rgb', : three colors red, blue, green depending
|
---|
69 | % on thresholds .colcode1 and .colcode2 on the input scalar value (C)
|
---|
70 | % 'brg': like rgb but reversed color order (blue, green, red)
|
---|
71 | % '64 colors': continuous color from blue to red (multijet)
|
---|
72 | % .Vectors.colcode1 : first threshold for rgb, first value for'continuous'
|
---|
73 | % .Vectors.colcode2 : second threshold for rgb, last value (saturation) for 'continuous'
|
---|
74 | % .Vectors.CheckFixedCbounds; =0 (default): the bounds on C representation are min and max, =1: they are fixed by .Minc and .MaxC
|
---|
75 | % .Vectors.MinC = imposed minimum of the scalar field used for vector color;
|
---|
76 | % .Vectors.MaxC = imposed maximum of the scalar field used for vector color;
|
---|
77 | %
|
---|
78 | % PosColorbar: % if absent, no action on colorbar
|
---|
79 | % % if empty, suppress any existing colorbar
|
---|
80 | % % if not empty, display a colorbar for B&W images at position PosColorbar
|
---|
81 | % expressed in figure relative unit (ex [0.821 0.471 0.019 0.445])
|
---|
82 |
|
---|
83 | %=======================================================================
|
---|
84 | % Copyright 2008-2020, LEGI UMR 5519 / CNRS UGA G-INP, Grenoble, France
|
---|
85 | % http://www.legi.grenoble-inp.fr
|
---|
86 | % Joel.Sommeria - Joel.Sommeria (A) legi.cnrs.fr
|
---|
87 | %
|
---|
88 | % This file is part of the toolbox UVMAT.
|
---|
89 | %
|
---|
90 | % UVMAT is free software; you can redistribute it and/or modify
|
---|
91 | % it under the terms of the GNU General Public License as published
|
---|
92 | % by the Free Software Foundation; either version 2 of the license,
|
---|
93 | % or (at your option) any later version.
|
---|
94 | %
|
---|
95 | % UVMAT is distributed in the hope that it will be useful,
|
---|
96 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
97 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
98 | % GNU General Public License (see LICENSE.txt) for more details.
|
---|
99 | %=======================================================================
|
---|
100 |
|
---|
101 | function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam)
|
---|
102 |
|
---|
103 | %% default input and output
|
---|
104 | if ~exist('PlotParam','var'),PlotParam=[];end
|
---|
105 | PlotType='text'; %default
|
---|
106 | if ~isfield(PlotParam,'Axes')
|
---|
107 | PlotParam.Axes=[];
|
---|
108 | if isfield(Data,'CoordUnit')
|
---|
109 | PlotParam.Axes.CheckFixAspectRatio=1;
|
---|
110 | PlotParam.Axes.AspectRatio=1; %set axes equal by default if CoordUnit is defined
|
---|
111 | end
|
---|
112 | end
|
---|
113 | PlotParamOut=PlotParam;%default
|
---|
114 |
|
---|
115 | %% check input structure
|
---|
116 | [CellInfo,NbDimArray,errormsg]=find_field_cells(Data);
|
---|
117 | if ~isempty(errormsg)
|
---|
118 | msgbox_uvmat('ERROR',['input of plot_field/find_field_cells: ' errormsg]);
|
---|
119 | return
|
---|
120 | end
|
---|
121 | index_0D=find(NbDimArray==0);
|
---|
122 | index_1D=find(NbDimArray==1);
|
---|
123 | index_2D=find(NbDimArray==2);%find 2D fields
|
---|
124 | index_3D=find(NbDimArray>2,1);
|
---|
125 | if ~isempty(index_3D)
|
---|
126 | msgbox_uvmat('ERROR','volume plot not implemented yet');
|
---|
127 | return
|
---|
128 | end
|
---|
129 | % end
|
---|
130 |
|
---|
131 | %% test axes and figure
|
---|
132 | testnewfig=1;%test to create a new figure (default)
|
---|
133 | testzoomaxes=0;%test for the existence of a zoom secondary figure attached to the plotting axes
|
---|
134 | if exist('haxes','var')
|
---|
135 | if ishandle(haxes)
|
---|
136 | if isequal(get(haxes,'Type'),'axes')
|
---|
137 | testnewfig=0;
|
---|
138 | AxeData=get(haxes,'UserData');
|
---|
139 | if isfield(AxeData,'ZoomAxes')&& ishandle(AxeData.ZoomAxes)
|
---|
140 | if isequal(get(AxeData.ZoomAxes,'Type'),'axes')
|
---|
141 | testzoomaxes=1;
|
---|
142 | zoomaxes=AxeData.ZoomAxes;
|
---|
143 | end
|
---|
144 | end
|
---|
145 | end
|
---|
146 | end
|
---|
147 | end
|
---|
148 |
|
---|
149 | %% create a new figure and axes if the plotting axes does not exist
|
---|
150 | if testnewfig
|
---|
151 | hfig=figure;
|
---|
152 | set(hfig,'Units','normalized')
|
---|
153 | haxes=axes;
|
---|
154 | set(haxes,'position',[0.13,0.2,0.775,0.73])
|
---|
155 | PlotParamOut.NextPlot='add'; %parameter for plot_profile
|
---|
156 | else
|
---|
157 | hfig=get(haxes,'parent');
|
---|
158 | set(0,'CurrentFigure',hfig)% the parent of haxes becomes the current figure
|
---|
159 | set(hfig,'CurrentAxes',haxes)% haxes becomes the current axes of the parent figure
|
---|
160 | end
|
---|
161 |
|
---|
162 | %% set axes properties
|
---|
163 | if isfield(PlotParamOut.Axes,'CheckFixLimits') && isequal(PlotParamOut.Axes.CheckFixLimits,1) %adjust the graph limits
|
---|
164 | set(haxes,'XLimMode', 'manual')
|
---|
165 | set(haxes,'YLimMode', 'manual')
|
---|
166 | else
|
---|
167 | set(haxes,'XLimMode', 'auto')
|
---|
168 | set(haxes,'YLimMode', 'auto')
|
---|
169 | end
|
---|
170 |
|
---|
171 | if isfield(PlotParamOut.Axes,'CheckFixAspectRatio') && isequal(PlotParamOut.Axes.CheckFixAspectRatio,1)&&isfield(PlotParamOut.Axes,'AspectRatio')
|
---|
172 | set(haxes,'DataAspectRatioMode','manual')
|
---|
173 | set(haxes,'DataAspectRatio',[PlotParamOut.Axes.AspectRatio 1 1])
|
---|
174 | else
|
---|
175 | set(haxes,'DataAspectRatioMode','auto')%automatic aspect ratio
|
---|
176 | end
|
---|
177 |
|
---|
178 | errormsg='';
|
---|
179 | AxeData=get(haxes,'UserData');
|
---|
180 |
|
---|
181 | %% 2D plots
|
---|
182 | if isempty(index_2D)
|
---|
183 | plot_plane([],[],haxes,[]);%removes images or vector plots in the absence of 2D field plot
|
---|
184 | else %plot 2D field
|
---|
185 | % if ~exist('PosColorbar','var'),PosColorbar=[];end;
|
---|
186 | [tild,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellInfo(index_2D),haxes,PlotParamOut);
|
---|
187 | AxeData.NbDim=2;
|
---|
188 | if testzoomaxes && isempty(errormsg)
|
---|
189 | [zoomaxes,PlotParamOut,tild,errormsg]=plot_plane(Data,CellInfo(index_2D),zoomaxes,PlotParamOut);
|
---|
190 | AxeData.ZoomAxes=zoomaxes;
|
---|
191 | end
|
---|
192 | end
|
---|
193 |
|
---|
194 | %% 1D plot (usual graph y vs x)
|
---|
195 | if isempty(index_1D)|| ~isempty(index_2D)
|
---|
196 | if ~isempty(haxes)
|
---|
197 | plot_profile([],[],haxes);%removes usual praphs y vs x in the absence of 1D field plot
|
---|
198 | end
|
---|
199 | else %plot 1D field (usual graph y vs x)
|
---|
200 | CheckHold=0;
|
---|
201 | if isfield(PlotParam,'CheckHold')
|
---|
202 | CheckHold= PlotParam.CheckHold;
|
---|
203 | end
|
---|
204 | PlotParamOut=plot_profile(Data,CellInfo(index_1D),haxes,PlotParamOut,CheckHold);%
|
---|
205 | if isempty(index_2D)
|
---|
206 | if isfield(PlotParamOut,'Vectors')
|
---|
207 | PlotParamOut=rmfield(PlotParamOut,'Vectors');
|
---|
208 | end
|
---|
209 | if isfield(PlotParamOut,'Scalar')
|
---|
210 | PlotParamOut=rmfield(PlotParamOut,'Scalar');
|
---|
211 | end
|
---|
212 | end
|
---|
213 | if testzoomaxes
|
---|
214 | [zoomaxes,PlotParamOut.Axes]=plot_profile(Data,CellInfo(index_1D),zoomaxes,PlotParamOut.Axes,CheckHold);
|
---|
215 | AxeData.ZoomAxes=zoomaxes;
|
---|
216 | end
|
---|
217 | PlotType='line';
|
---|
218 | end
|
---|
219 |
|
---|
220 | %% aspect ratio
|
---|
221 | AspectRatio=get(haxes,'DataAspectRatio');
|
---|
222 | PlotParamOut.Axes.AspectRatio=AspectRatio(1)/AspectRatio(2);
|
---|
223 |
|
---|
224 | %% text display
|
---|
225 | if ~(isfield(PlotParamOut,'Axes')&&isfield(PlotParamOut.Axes,'TextDisplay')&&(PlotParamOut.Axes.TextDisplay)) % if text is not already given as statistics
|
---|
226 | htext=findobj(hfig,'Tag','TableDisplay');
|
---|
227 | if ~isempty(htext)%&&~isempty(hchecktable)
|
---|
228 | if isempty(index_0D)
|
---|
229 | else
|
---|
230 | errormsg=plot_text(Data,CellInfo(index_0D),htext);
|
---|
231 | set(htext,'visible','on')
|
---|
232 | end
|
---|
233 | set(hfig,'Unit','pixels');
|
---|
234 | set(htext,'Unit','pixels')
|
---|
235 | PosFig=get(hfig,'Position');
|
---|
236 | % case of no plot with view_field: only text display
|
---|
237 | if strcmp(get(hfig,'Tag'),'view_field')
|
---|
238 | if isempty(index_1D) && isempty(index_2D)% case of no plot: only text display
|
---|
239 | set(haxes,'Visible','off')
|
---|
240 | PosTable=get(htext,'Position');
|
---|
241 | set(hfig,'Position',[PosFig(1) PosFig(2) PosTable(3) PosTable(4)])
|
---|
242 | else
|
---|
243 | set(haxes,'Visible','on')
|
---|
244 | set(hfig,'Position',[PosFig(1) PosFig(2) 877 677])%default size for view_field
|
---|
245 | end
|
---|
246 | end
|
---|
247 | end
|
---|
248 | end
|
---|
249 | %% display error message
|
---|
250 | if ~isempty(errormsg)
|
---|
251 | PlotType=errormsg;
|
---|
252 | msgbox_uvmat('ERROR', errormsg)
|
---|
253 | end
|
---|
254 |
|
---|
255 | %% update the parameters stored in AxeData
|
---|
256 | if ishandle(haxes)&&( ~isempty(index_2D)|| ~isempty(index_1D))
|
---|
257 | if isfield(PlotParamOut,'MinX')
|
---|
258 | AxeData.RangeX=[PlotParamOut.MinX PlotParamOut.MaxX];
|
---|
259 | AxeData.RangeY=[PlotParamOut.MinY PlotParamOut.MaxY];
|
---|
260 | end
|
---|
261 | set(haxes,'UserData',AxeData)
|
---|
262 | end
|
---|
263 |
|
---|
264 | %% update the plotted field stored in parent figure
|
---|
265 | if ~isempty(index_2D)|| ~isempty(index_1D)
|
---|
266 | FigData=get(hfig,'UserData');
|
---|
267 | if strcmp(get(hfig,'tag'),'view_field')||strcmp(get(hfig,'tag'),'uvmat')
|
---|
268 | FigData.(get(haxes,'tag'))=Data;
|
---|
269 | set(hfig,'UserData',FigData)
|
---|
270 | end
|
---|
271 | end
|
---|
272 |
|
---|
273 | %-------------------------------------------------------------------
|
---|
274 | % --- plot 0D fields: display data values without plot
|
---|
275 | %------------------------------------------------------------------
|
---|
276 | function errormsg=plot_text(FieldData,CellInfo,htext)
|
---|
277 |
|
---|
278 | errormsg='';
|
---|
279 | txt_cell={};
|
---|
280 | Data={};
|
---|
281 | VarIndex=[];
|
---|
282 | for icell=1:length(CellInfo)
|
---|
283 |
|
---|
284 | % select types of variables to be projected
|
---|
285 | ListProj={'VarIndex_scalar','VarIndex_image','VarIndex_color','VarIndex_vector_x','VarIndex_vector_y'};
|
---|
286 | check_proj=false(size(FieldData.ListVarName));
|
---|
287 | for ilist=1:numel(ListProj)
|
---|
288 | if isfield(CellInfo{icell},ListProj{ilist})
|
---|
289 | check_proj(CellInfo{icell}.(ListProj{ilist}))=1;
|
---|
290 | end
|
---|
291 | end
|
---|
292 | VarIndex=[VarIndex find(check_proj)];
|
---|
293 | end
|
---|
294 |
|
---|
295 | % data need to be displayed in a table
|
---|
296 | % if strcmp(get(htext,'Type'),'uitable')% display data in a table
|
---|
297 | % VarNameCell=cell(1,numel(VarIndex));% prepare list of variable names to display (titles of columns)
|
---|
298 | % VarLength=zeros(1,numel(VarIndex)); % default number of values for each variable
|
---|
299 | % for ivar=1:numel(VarIndex)
|
---|
300 | % VarNameCell{ivar}=FieldData.ListVarName{VarIndex(ivar)};
|
---|
301 | % VarLength(ivar)=numel(FieldData.(VarNameCell{ivar}));
|
---|
302 | % end
|
---|
303 | % set(htext,'ColumnName',VarNameCell)
|
---|
304 | % Data=cell(max(VarLength),numel(VarIndex));% prepare the table of data display
|
---|
305 | %
|
---|
306 | % for ivar=1:numel(VarIndex)
|
---|
307 | % VarValue=FieldData.(VarNameCell{ivar});
|
---|
308 | % VarValue=reshape(VarValue,[],1);% reshape values array in a column
|
---|
309 | % Data(1:numel(VarValue),ivar)=num2cell(VarValue);
|
---|
310 | % end
|
---|
311 | % set(htext,'Data',Data)
|
---|
312 | % end
|
---|
313 | % if numel(VarValue)>1 && numel(VarValue)<10 % case of a variable with several values
|
---|
314 | % for ind=1:numel(VarValue)
|
---|
315 | % VarNameCell{1,ind}=[VarName '_' num2str(ind)];% indicate each value by an index
|
---|
316 | % end
|
---|
317 | % else
|
---|
318 | % VarNameCell={VarName};
|
---|
319 | % end
|
---|
320 | % if numel(VarValue)<10
|
---|
321 | % if isempty(VarValue)
|
---|
322 | % VarValueCell={'[]'};
|
---|
323 | % else
|
---|
324 | % VarValueCell=num2cell(VarValue);
|
---|
325 | % end
|
---|
326 | % if isempty(Data)
|
---|
327 | % Data =[VarNameCell VarValueCell];
|
---|
328 | % else
|
---|
329 | % Data =[Data [VarNameCell VarValueCell]];
|
---|
330 | % end
|
---|
331 | % else
|
---|
332 | % if isempty(Data)
|
---|
333 | % Data =[VarNameCell; num2cell(VarValue)];
|
---|
334 | % else
|
---|
335 | % Data =[Data [VarNameCell; {['size ' num2str(size(VarValue))]}]];
|
---|
336 | % end
|
---|
337 | % end
|
---|
338 | % if size(VarValue,1)==1
|
---|
339 | % txt=[VarName '=' num2str(VarValue)];
|
---|
340 | % txt_cell=[txt_cell;{txt}];
|
---|
341 | % end
|
---|
342 | % end
|
---|
343 | % end
|
---|
344 | % if strcmp(get(htext,'Type'),'uitable')% display data in a table
|
---|
345 | %
|
---|
346 | %
|
---|
347 | % set(htext,'Data',Data(2:end,:))
|
---|
348 | % else % display in a text edit box
|
---|
349 | % set(htext,'String',txt_cell)
|
---|
350 | % set(htext,'UserData',txt_cell)% for temporary storage when the edit box is used for mouse display
|
---|
351 | % end
|
---|
352 |
|
---|
353 |
|
---|
354 | %-------------------------------------------------------------------
|
---|
355 | % --- plot 1D fields (usual x,y plots)
|
---|
356 | %-------------------------------------------------------------------
|
---|
357 | %INPUT
|
---|
358 | % Data: structure describing the field to plot
|
---|
359 | % (optional) .ListGlobalAttribute: cell listing the names of the global attributes
|
---|
360 | % .Att_1,Att_2... : values of the global attributes
|
---|
361 | % (requested) .ListVarName: list of variable names to select (cell array of char strings {'VarName1', 'VarName2',...} )
|
---|
362 | % (requested) .VarDimName: list of dimension names for each element of .ListVarName (cell array of string cells)
|
---|
363 | % .VarAttribute: cell of attributes for each element of .ListVarName (cell array of structures of the form VarAtt.key=value)
|
---|
364 | % (requested) .Var1, .Var2....: variables (Matlab arrays) with names listed in .ListVarName
|
---|
365 | %
|
---|
366 | % Variable attribute .Role :
|
---|
367 | % The only variable attribute used for plotting purpose is .Role which can take
|
---|
368 | % the values:
|
---|
369 | % Role = 'coord_x' or 'histo' to label the x coordinate
|
---|
370 | % ='coord_y' or 'discrete' to label the y coordinate, variables labelled as 'discrete'
|
---|
371 | % will be plotted as isolated points while variables labelled as 'coord_y' will be plotted as continuous lines
|
---|
372 | % other variables will not be taken into account for plot_profile
|
---|
373 |
|
---|
374 | function PlotParamOut=plot_profile(Data,CellInfo,haxes,PlotParam,CheckHold)
|
---|
375 |
|
---|
376 | %% initialization
|
---|
377 | if ~(exist('PlotParam','var')&&~isempty(PlotParam.Axes))
|
---|
378 | Coordinates=[];
|
---|
379 | PlotParamOut.Axes=Coordinates;
|
---|
380 | else
|
---|
381 | Coordinates=PlotParam.Axes;
|
---|
382 | PlotParamOut=PlotParam;
|
---|
383 | end
|
---|
384 | hfig=get(haxes,'parent');
|
---|
385 | legend_str={};
|
---|
386 |
|
---|
387 | %% suppress existing plot if empty Data
|
---|
388 | if isempty(Data)
|
---|
389 | hplot=findobj(haxes,'tag','plot_line');
|
---|
390 | if ~isempty(hplot)
|
---|
391 | delete(hplot)
|
---|
392 | end
|
---|
393 | hlegend=findobj(hfig,'tag','legend');
|
---|
394 | if ~isempty(hlegend)
|
---|
395 | delete(hlegend)
|
---|
396 | end
|
---|
397 | return
|
---|
398 | end
|
---|
399 |
|
---|
400 | %% set the colors of the successive plots (designed to produce rgb for the three components of color images)
|
---|
401 | ColorOrder=[1 0 0;0 1 0;0 0 1;0 0.75 0.75;0.75 0 0.75;0.75 0.75 0;0.25 0.25 0.25];
|
---|
402 | set(hfig,'DefaultAxesColorOrder',ColorOrder)
|
---|
403 | if CheckHold
|
---|
404 | set(haxes,'NextPlot','add')
|
---|
405 | else
|
---|
406 | set(haxes,'NextPlot','replace')
|
---|
407 | end
|
---|
408 |
|
---|
409 | %% prepare the string for plot command
|
---|
410 | plotstr='hhh=plot(';
|
---|
411 | xtitle='';
|
---|
412 | ytitle='';
|
---|
413 | test_newplot=~CheckHold;
|
---|
414 | MinX=[];
|
---|
415 | MaxX=[];
|
---|
416 | MinY_cell=[];
|
---|
417 | MaxY_cell=[];
|
---|
418 | testplot=ones(size(Data.ListVarName));%default test for plotted variables
|
---|
419 | %loop on input fields
|
---|
420 | for icell=1:numel(CellInfo)
|
---|
421 | VarIndex=[CellInfo{icell}.YIndex CellInfo{icell}.YIndex_discrete];% indices of the selected variables in the list Data.ListVarName
|
---|
422 | coord_x_index=CellInfo{icell}.XIndex;
|
---|
423 | coord_x_name{icell}=Data.ListVarName{coord_x_index};
|
---|
424 | coord_x{icell}=Data.(Data.ListVarName{coord_x_index});%coordinate variable set as coord_x
|
---|
425 | if isempty(find(strcmp(coord_x_name{icell},coord_x_name(1:end-1)), 1)) %xtitle not already selected
|
---|
426 | xtitle=[xtitle coord_x_name{icell}];
|
---|
427 | if isfield(Data,'VarAttribute')&& numel(Data.VarAttribute)>=coord_x_index && isfield(Data.VarAttribute{coord_x_index},'units')
|
---|
428 | xtitle=[xtitle '(' Data.VarAttribute{coord_x_index}.units '), '];
|
---|
429 | else
|
---|
430 | xtitle=[xtitle ', '];
|
---|
431 | end
|
---|
432 | end
|
---|
433 | if ~isempty(coord_x{icell})
|
---|
434 | MinX(icell)=min(coord_x{icell});
|
---|
435 | MaxX(icell)=max(coord_x{icell});
|
---|
436 | testplot(coord_x_index)=0;
|
---|
437 | if isfield(CellInfo{icell},'VarIndex_ancillary')
|
---|
438 | testplot(CellInfo{icell}.VarIndex_ancillary)=0;
|
---|
439 | end
|
---|
440 | if isfield(CellInfo{icell},'VarIndex_warnflag')
|
---|
441 | testplot(CellInfo{icell}.VarIndex_warnflag)=0;
|
---|
442 | end
|
---|
443 | if isfield(Data,'VarAttribute')
|
---|
444 | VarAttribute=Data.VarAttribute;
|
---|
445 | for ivar=1:length(VarIndex)
|
---|
446 | if length(VarAttribute)>=VarIndex(ivar) && isfield(VarAttribute{VarIndex(ivar)},'long_name')
|
---|
447 | plotname{VarIndex(ivar)}=VarAttribute{VarIndex(ivar)}.long_name;
|
---|
448 | else
|
---|
449 | plotname{VarIndex(ivar)}=Data.ListVarName{VarIndex(ivar)};%name for display in plot A METTRE
|
---|
450 | end
|
---|
451 | end
|
---|
452 | end
|
---|
453 | if isfield(CellInfo{icell},'YIndex_discrete')&& ~isempty(CellInfo{icell}.YIndex_discrete)
|
---|
454 | charplot_0='''+''';
|
---|
455 | else
|
---|
456 | charplot_0='''-''';
|
---|
457 | end
|
---|
458 | MinY=[];
|
---|
459 | MaxY=[];%default
|
---|
460 |
|
---|
461 | nbplot=0;
|
---|
462 | for ivar=1:length(VarIndex)
|
---|
463 | if testplot(VarIndex(ivar))
|
---|
464 | VarName=Data.ListVarName{VarIndex(ivar)};
|
---|
465 | nbplot=nbplot+1;
|
---|
466 | ytitle=[ytitle VarName];
|
---|
467 | if isfield(Data,'VarAttribute')&& numel(Data.VarAttribute)>=VarIndex(ivar) && isfield(Data.VarAttribute{VarIndex(ivar)},'units')
|
---|
468 | ytitle=[ytitle '(' Data.VarAttribute{VarIndex(ivar)}.units '), '];
|
---|
469 | else
|
---|
470 | ytitle=[ytitle ', '];
|
---|
471 | end
|
---|
472 | eval(['Data.' VarName '=squeeze(Data.' VarName ');'])
|
---|
473 | MinY(ivar)=min(min(Data.(VarName)));
|
---|
474 | MaxY(ivar)=max(max(Data.(VarName)));
|
---|
475 | plotstr=[plotstr 'coord_x{' num2str(icell) '},Data.' VarName ',' charplot_0 ','];
|
---|
476 | eval(['nbcomponent2=size(Data.' VarName ',2);']);
|
---|
477 | eval(['nbcomponent1=size(Data.' VarName ',1);']);
|
---|
478 | if numel(coord_x{icell})==2
|
---|
479 | coord_x{icell}=linspace(coord_x{icell}(1),coord_x{icell}(2),nbcomponent1);
|
---|
480 | end
|
---|
481 | if nbcomponent1==1|| nbcomponent2==1
|
---|
482 | legend_str=[legend_str {VarName}]; %variable with one component
|
---|
483 | else %variable with severals components
|
---|
484 | for ic=1:min(nbcomponent1,nbcomponent2)
|
---|
485 | legend_str=[legend_str [VarName '_' num2str(ic)]]; %variable with severals components
|
---|
486 | end % labeled by their index (e.g. color component)
|
---|
487 | end
|
---|
488 | end
|
---|
489 | end
|
---|
490 | if ~isempty(MinY)
|
---|
491 | MinY_cell(icell)=min(MinY);
|
---|
492 | MaxY_cell(icell)=max(MaxY);
|
---|
493 | end
|
---|
494 | end
|
---|
495 | end
|
---|
496 |
|
---|
497 | %% activate the plot
|
---|
498 | if ~isequal(plotstr,'hhh=plot(')
|
---|
499 | set(hfig,'CurrentAxes',haxes)
|
---|
500 | tag=get(haxes,'tag');
|
---|
501 | %%%
|
---|
502 | plotstr=[plotstr '''tag'',''plot_line'');'];
|
---|
503 | eval(plotstr) %execute plot (instruction plotstr)
|
---|
504 | %%%
|
---|
505 | set(haxes,'tag',tag)% restitute the axes tag (removed by the command plot)
|
---|
506 | set(haxes,'ColorOrder',ColorOrder)% restitute the plot color order (to get red green blue for histograms or cuts of color images)
|
---|
507 | grid(haxes, 'on')
|
---|
508 | hxlabel=xlabel(xtitle(1:end-2));% xlabel (removes ', ' at the end)
|
---|
509 | set(hxlabel,'Interpreter','none')% desable tex interpreter
|
---|
510 | if length(legend_str)>=1
|
---|
511 | hylabel=ylabel(ytitle(1:end-2));% ylabel (removes ', ' at the end)
|
---|
512 | set(hylabel,'Interpreter','none')% desable tex interpreter
|
---|
513 | end
|
---|
514 | if ~isempty(legend_str)
|
---|
515 | hlegend=findobj(hfig,'Tag','legend');
|
---|
516 | if isempty(hlegend)
|
---|
517 | hlegend=legend(legend_str);
|
---|
518 | txt=ver('MATLAB');
|
---|
519 | Release=txt.Release;
|
---|
520 | relnumb=str2double(Release(3:4));% should be changed to Version for better compatibility
|
---|
521 | if relnumb >= 14
|
---|
522 | set(hlegend,'Interpreter','none')% desable tex interpreter
|
---|
523 | end
|
---|
524 | else
|
---|
525 | legend_old=get(hlegend,'String');
|
---|
526 | if isequal(size(legend_old,1),size(legend_str,1))&&~isequal(legend_old,legend_str)
|
---|
527 | set(hlegend,'String',[legend_old legend_str]);
|
---|
528 | end
|
---|
529 | end
|
---|
530 | end
|
---|
531 | title_str='';
|
---|
532 | if isfield(Data,'filename')
|
---|
533 | [Path, title_str, ext]=fileparts(Data.filename);
|
---|
534 | title_str=[title_str ext];
|
---|
535 | end
|
---|
536 | if isfield(Data,'Action')&&isfield(Data.Action,'ActionName')
|
---|
537 | if ~isequal(title_str,'')
|
---|
538 | title_str=[title_str ', '];
|
---|
539 | end
|
---|
540 | title_str=[title_str Data.Action.ActionName];
|
---|
541 | end
|
---|
542 | htitle=title(title_str);
|
---|
543 | set(htitle,'Interpreter','none')% desable tex interpreter
|
---|
544 | end
|
---|
545 |
|
---|
546 | %% determine axes bounds
|
---|
547 | fix_lim=isfield(Coordinates,'CheckFixLimits') && Coordinates.CheckFixLimits;
|
---|
548 | check_lim=isfield(Coordinates,'MinX')&&isfield(Coordinates,'MaxX')&&isfield(Coordinates,'MinY')&&isfield(Coordinates,'MaxY');
|
---|
549 | if fix_lim
|
---|
550 | if ~check_lim
|
---|
551 | fix_lim=0; %free limits if limits are not set,
|
---|
552 | end
|
---|
553 | end
|
---|
554 | if fix_lim
|
---|
555 | set(haxes,'XLim',[Coordinates.MinX Coordinates.MaxX])
|
---|
556 | set(haxes,'YLim',[Coordinates.MinY Coordinates.MaxY])
|
---|
557 | else
|
---|
558 | if ~isempty(MinX)
|
---|
559 | if check_lim
|
---|
560 | Coordinates.MinX=min(min(MinX),Coordinates.MinX);
|
---|
561 | Coordinates.MaxX=max(max(MaxX),Coordinates.MaxX);
|
---|
562 | else
|
---|
563 | Coordinates.MinX=min(MinX);
|
---|
564 | Coordinates.MaxX=max(MaxX);
|
---|
565 | end
|
---|
566 | end
|
---|
567 | if ~isempty(MinY_cell)
|
---|
568 | if check_lim
|
---|
569 | Coordinates.MinY=min(min(MinY_cell),Coordinates.MinY);
|
---|
570 | Coordinates.MaxY=max(max(MaxY_cell),Coordinates.MaxY);
|
---|
571 | else
|
---|
572 | Coordinates.MinY=min(MinY_cell);
|
---|
573 | Coordinates.MaxY=max(MaxY_cell);
|
---|
574 | end
|
---|
575 | end
|
---|
576 | end
|
---|
577 |
|
---|
578 | %% determine plot aspect ratio
|
---|
579 | if isfield(Coordinates,'CheckFixAspectRatio') && isequal(Coordinates.CheckFixAspectRatio,1)&&isfield(Coordinates,'AspectRatio')
|
---|
580 | set(haxes,'DataAspectRatioMode','manual')
|
---|
581 | set(haxes,'DataAspectRatio',[Coordinates.AspectRatio 1 1])
|
---|
582 | else
|
---|
583 | set(haxes,'DataAspectRatioMode','auto')%automatic aspect ratio
|
---|
584 | AspectRatio=get(haxes,'DataAspectRatio');
|
---|
585 | Coordinates.AspectRatio=AspectRatio(1)/AspectRatio(2);
|
---|
586 | end
|
---|
587 | PlotParamOut.Axes= Coordinates;
|
---|
588 |
|
---|
589 | %% give statistics for pdf
|
---|
590 | %ind_var=find(testplot);
|
---|
591 | TableData={'Variable';'SampleNbr';'bin size';'Mean';'RMS';'Skewness';'Kurtosis';...
|
---|
592 | 'Min';'FirstCentile';'FirstDecile';'Median';'LastDecile';'LastCentile';'Max'};
|
---|
593 |
|
---|
594 | TextDisplay=0;
|
---|
595 | for icell=1:numel(CellInfo)
|
---|
596 | if isfield(CellInfo{icell},'VarIndex_histo')% case of histogram plot
|
---|
597 | TextDisplay=1;
|
---|
598 | VarName=Data.ListVarName{CellInfo{icell}.CoordIndex};
|
---|
599 | pdf_val=Data.(Data.ListVarName{CellInfo{icell}.VarIndex_histo});
|
---|
600 | x=coord_x{icell};
|
---|
601 | if isrow(x)
|
---|
602 | x=x';
|
---|
603 | end
|
---|
604 | if ~isequal(size(x,1),size(pdf_val,1))
|
---|
605 | pdf_val=pdf_val';
|
---|
606 | end
|
---|
607 | Val=pdf2stat(x,pdf_val);
|
---|
608 | Column=mat2cell(Val,ones(13,1),ones(1,size(Val,2)));
|
---|
609 | if size(Val,2)==1%single component
|
---|
610 | TitleBar={VarName};
|
---|
611 | else
|
---|
612 | TitleBar=cell(1,size(Val,2));
|
---|
613 | for icomp=1:size(Val,2)
|
---|
614 | TitleBar{icomp}=[VarName '_' num2str(icomp)];
|
---|
615 | end
|
---|
616 | end
|
---|
617 | Column=[TitleBar;Column];
|
---|
618 | TableData=[TableData Column];
|
---|
619 | end
|
---|
620 | end
|
---|
621 | if TextDisplay
|
---|
622 | disp(TableData);
|
---|
623 | PlotParamOut.TableDisplay=TableData;
|
---|
624 | else
|
---|
625 | if isfield(PlotParamOut,'TableDisplay')
|
---|
626 | PlotParamOut=rmfield(PlotParamOut,'TableDisplay');
|
---|
627 | end
|
---|
628 | end
|
---|
629 |
|
---|
630 | %-------------------------------------------------------------------
|
---|
631 | function [haxes,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellInfo,haxes,PlotParam)
|
---|
632 | %-------------------------------------------------------------------
|
---|
633 | PlotType='plane';
|
---|
634 | grid(haxes, 'off')% remove grid (possibly remaining from other graphs)
|
---|
635 |
|
---|
636 | %default plotting parameters
|
---|
637 | if ~isfield(PlotParam,'Scalar')
|
---|
638 | PlotParam.Scalar=[];
|
---|
639 | end
|
---|
640 | if ~isfield(PlotParam,'Vectors')
|
---|
641 | PlotParam.Vectors=[];
|
---|
642 | end
|
---|
643 | PlotParamOut=PlotParam;%default
|
---|
644 | errormsg='';%default
|
---|
645 |
|
---|
646 | hfig=get(haxes,'parent');%handle of the figure containing the plot axes
|
---|
647 | PosColorbar=[];
|
---|
648 | FigData=get(hfig,'UserData');
|
---|
649 | if isfield(FigData,'PosColorbar')
|
---|
650 | PosColorbar=FigData.PosColorbar;
|
---|
651 | end
|
---|
652 | hcol=findobj(hfig,'Tag','Colorbar'); %look for colorbar axes
|
---|
653 | hima=findobj(haxes,'Tag','ima');% search existing image in the current axes
|
---|
654 | test_ima=0; %default: test for image or map plot
|
---|
655 | test_vec=0; %default: test for vector plots
|
---|
656 | test_black=0;
|
---|
657 | test_false=0;
|
---|
658 | test_C=0;
|
---|
659 | XName='';
|
---|
660 | x_units='';
|
---|
661 | YName='';
|
---|
662 | y_units='';
|
---|
663 |
|
---|
664 | % loop on the input field cells
|
---|
665 | for icell=1:numel(CellInfo)
|
---|
666 | if strcmp(CellInfo{icell}.CoordType,'tps') %do not plot directly tps data (used for projection only)
|
---|
667 | continue
|
---|
668 | end
|
---|
669 | ivar_X=CellInfo{icell}.CoordIndex(end); % defines (unique) index for the variable representing unstructured x coordinate (default =[])
|
---|
670 | ivar_Y=CellInfo{icell}.CoordIndex(end-1); % defines (unique)index for the variable representing unstructured y coordinate (default =[])
|
---|
671 | ivar_C=[];
|
---|
672 | if isfield(CellInfo{icell},'VarIndex_scalar')
|
---|
673 | ivar_C=[ivar_C CellInfo{icell}.VarIndex_scalar];
|
---|
674 | end
|
---|
675 | if isfield(CellInfo{icell},'VarIndex_image')
|
---|
676 | ivar_C=[ivar_C CellInfo{icell}.VarIndex_image];
|
---|
677 | end
|
---|
678 | if isfield(CellInfo{icell},'VarIndex_color')
|
---|
679 | ivar_C=[ivar_C CellInfo{icell}.VarIndex_color];
|
---|
680 | end
|
---|
681 | if isfield(CellInfo{icell},'VarIndex_ancillary')
|
---|
682 | ivar_C=[ivar_C CellInfo{icell}.VarIndex_ancillary];
|
---|
683 | end
|
---|
684 | if numel(ivar_C)>1
|
---|
685 | errormsg= 'error in plot_field: too many scalar inputs';
|
---|
686 | return
|
---|
687 | end
|
---|
688 | ivar_F=[];
|
---|
689 | if isfield(CellInfo{icell},'VarIndex_warnflag')
|
---|
690 | ivar_F=CellInfo{icell}.VarIndex_warnflag; %defines index (unique) for warning flag variable
|
---|
691 | end
|
---|
692 | ivar_FF_vec=[];
|
---|
693 | if isfield(CellInfo{icell},'VarIndex_vector_x')&&isfield(CellInfo{icell},'VarIndex_vector_y') % vector components detected
|
---|
694 | if test_vec% a vector field has been already detected
|
---|
695 | errormsg='error in plot_field: attempt to plot two vector fields: to get the difference project on a plane with ProjMode= interp_lin or interp_tps';
|
---|
696 | return
|
---|
697 | else
|
---|
698 | if numel(CellInfo{icell}.VarIndex_vector_x)>1
|
---|
699 | errormsg='error in plot_field: attempt to plot two vector fields';
|
---|
700 | return
|
---|
701 | end
|
---|
702 | test_vec=1;
|
---|
703 | if isfield(CellInfo{icell},'VarIndex_errorflag')
|
---|
704 | ivar_FF_vec=CellInfo{icell}.VarIndex_errorflag; %defines index (unique) for error flag variable
|
---|
705 | end
|
---|
706 | vec_U=Data.(Data.ListVarName{CellInfo{icell}.VarIndex_vector_x});
|
---|
707 | vec_V=Data.(Data.ListVarName{CellInfo{icell}.VarIndex_vector_y});
|
---|
708 | XName=Data.ListVarName{CellInfo{icell}.CoordIndex(end)};
|
---|
709 | YName=Data.ListVarName{CellInfo{icell}.CoordIndex(end-1)};
|
---|
710 | if strcmp(CellInfo{icell}.CoordType,'scattered')%2D field with unstructured coordinates
|
---|
711 | vec_X=reshape(Data.(XName),[],1); %transform vectors in column matlab vectors
|
---|
712 | vec_Y=reshape(Data.(YName),[],1);
|
---|
713 | elseif strcmp(CellInfo{icell}.CoordType,'grid')%2D field with structured coordinates
|
---|
714 | y=Data.(YName);
|
---|
715 | x=Data.(XName);
|
---|
716 | if numel(y)==2 % y defined by first and last values on aregular mesh
|
---|
717 | y=linspace(y(1),y(2),size(vec_U,1));
|
---|
718 | end
|
---|
719 | if numel(x)==2 % y defined by first and last values on aregular mesh
|
---|
720 | x=linspace(x(1),x(2),size(vec_U,2));
|
---|
721 | end
|
---|
722 | [vec_X,vec_Y]=meshgrid(x,y);
|
---|
723 | end
|
---|
724 | if isfield(PlotParam.Vectors,'ColorScalar') && ~isempty(PlotParam.Vectors.ColorScalar)
|
---|
725 | [VarVal,ListVarName,VarAttribute,errormsg]=calc_field_interp([],Data,PlotParam.Vectors.ColorScalar);
|
---|
726 | if ~isempty(VarVal)
|
---|
727 | vec_C=reshape(VarVal{1},1,numel(VarVal{1}));
|
---|
728 | test_C=1;
|
---|
729 | end
|
---|
730 | end
|
---|
731 | if ~isempty(ivar_F)%~(isfield(PlotParam.Vectors,'HideWarning')&& isequal(PlotParam.Vectors.HideWarning,1))
|
---|
732 | vec_F=Data.(Data.ListVarName{ivar_F}); % warning flags for dubious vectors
|
---|
733 | if ~(isfield(PlotParam.Vectors,'CheckHideWarning') && isequal(PlotParam.Vectors.CheckHideWarning,1))
|
---|
734 | test_black=1;
|
---|
735 | end
|
---|
736 | end
|
---|
737 | if ~isempty(ivar_FF_vec) %&& ~test_false
|
---|
738 | vec_FF=Data.(Data.ListVarName{ivar_FF_vec}); % flags for false vectors
|
---|
739 | end
|
---|
740 | end
|
---|
741 | elseif ~isempty(ivar_C) %scalar or image
|
---|
742 | if test_ima
|
---|
743 | errormsg='attempt to plot two scalar fields or images';
|
---|
744 | return
|
---|
745 | end
|
---|
746 | A=squeeze(Data.(Data.ListVarName{ivar_C}));% scalar represented as color image
|
---|
747 | test_ima=1;
|
---|
748 | if strcmp(CellInfo{icell}.CoordType,'scattered')%2D field with unstructured coordinates
|
---|
749 | A=reshape(A,1,[]);
|
---|
750 | XName=Data.ListVarName{ivar_X};
|
---|
751 | YName=Data.ListVarName{ivar_Y};
|
---|
752 | Coord_x=reshape(Data.(XName),1,[]);
|
---|
753 | Coord_y=reshape(Data.(YName),1,[]);
|
---|
754 | [A,Coord_x,Coord_y]=proj_grid(Coord_x',Coord_y',A',[],[],'np>256'); % interpolate on a grid
|
---|
755 | if isfield(Data,'VarAttribute')
|
---|
756 | if numel(Data.VarAttribute)>=ivar_X && isfield(Data.VarAttribute{ivar_X},'units')
|
---|
757 | x_units=[' (' Data.VarAttribute{ivar_X}.units ')'];
|
---|
758 | end
|
---|
759 | if numel(Data.VarAttribute)>=ivar_Y && isfield(Data.VarAttribute{ivar_Y},'units')
|
---|
760 | y_units=[' (' Data.VarAttribute{ivar_Y}.units ')'];
|
---|
761 | end
|
---|
762 | end
|
---|
763 | elseif strcmp(CellInfo{icell}.CoordType,'grid')%2D field with structured coordinates
|
---|
764 | YName=Data.ListVarName{CellInfo{icell}.CoordIndex(end-1)};
|
---|
765 | XName=Data.ListVarName{CellInfo{icell}.CoordIndex(end)};
|
---|
766 | Coord_y=Data.(YName);
|
---|
767 | Coord_x=Data.(XName);
|
---|
768 | test_interp_X=0; %default, regularly meshed X coordinate
|
---|
769 | test_interp_Y=0; %default, regularly meshed Y coordinate
|
---|
770 | if isfield(Data,'VarAttribute')
|
---|
771 | if numel(Data.VarAttribute)>=CellInfo{icell}.CoordIndex(end) && isfield(Data.VarAttribute{CellInfo{icell}.CoordIndex(end)},'units')
|
---|
772 | x_units=Data.VarAttribute{CellInfo{icell}.CoordIndex(end)}.units;
|
---|
773 | end
|
---|
774 | if numel(Data.VarAttribute)>=CellInfo{icell}.CoordIndex(end-1) && isfield(Data.VarAttribute{CellInfo{icell}.CoordIndex(end-1)},'units')
|
---|
775 | y_units=Data.VarAttribute{CellInfo{icell}.CoordIndex(end-1)}.units;
|
---|
776 | end
|
---|
777 | end
|
---|
778 | if numel(Coord_y)>2
|
---|
779 | DCoord_y=diff(Coord_y);
|
---|
780 | DCoord_y_min=min(DCoord_y);
|
---|
781 | DCoord_y_max=max(DCoord_y);
|
---|
782 | if sign(DCoord_y_min)~=sign(DCoord_y_max);% =1 for increasing values, 0 otherwise
|
---|
783 | errormsg=['errror in plot_field.m: non monotonic dimension variable ' YName ];
|
---|
784 | return
|
---|
785 | end
|
---|
786 | test_interp_Y=(DCoord_y_max-DCoord_y_min)> 0.0001*abs(DCoord_y_max);
|
---|
787 | end
|
---|
788 | if numel(Coord_x)>2
|
---|
789 | DCoord_x=diff(Coord_x);
|
---|
790 | DCoord_x_min=min(DCoord_x);
|
---|
791 | DCoord_x_max=max(DCoord_x);
|
---|
792 | if sign(DCoord_x_min)~=sign(DCoord_x_max);% =1 for increasing values, 0 otherwise
|
---|
793 | errormsg=['errror in plot_field.m: non monotonic dimension variable ' Data.ListVarName{VarRole.coord(2)} ];
|
---|
794 | return
|
---|
795 | end
|
---|
796 | test_interp_X=(DCoord_x_max-DCoord_x_min)> 0.0001*abs(DCoord_x_max);
|
---|
797 | end
|
---|
798 | if test_interp_Y
|
---|
799 | npxy(1)=max([256 floor((Coord_y(end)-Coord_y(1))/DCoord_y_min) floor((Coord_y(end)-Coord_y(1))/DCoord_y_max)]);
|
---|
800 | yI=linspace(Coord_y(1),Coord_y(end),npxy(1));
|
---|
801 | if ~test_interp_X
|
---|
802 | xI=linspace(Coord_x(1),Coord_x(end),size(A,2));%default
|
---|
803 | Coord_x=xI;
|
---|
804 | end
|
---|
805 | end
|
---|
806 | if test_interp_X
|
---|
807 | npxy(2)=max([256 floor((Coord_x(end)-Coord_x(1))/DCoord_x_min) floor((Coord_x(end)-Coord_x(1))/DCoord_x_max)]);
|
---|
808 | xI=linspace(Coord_x(1),Coord_x(end),npxy(2));
|
---|
809 | if ~test_interp_Y
|
---|
810 | yI=linspace(Coord_y(1),Coord_y(end),size(A,1));
|
---|
811 | Coord_y=yI;
|
---|
812 | end
|
---|
813 | end
|
---|
814 | if test_interp_X || test_interp_Y
|
---|
815 | [Coord_x2D,Coord_y2D]=meshgrid(Coord_x,Coord_y);
|
---|
816 | A=interp2(Coord_x2D,Coord_y2D,double(A),xI,yI');
|
---|
817 | end
|
---|
818 | Coord_x=[Coord_x(1) Coord_x(end)];% keep only the lower and upper bounds for image represnetation
|
---|
819 | Coord_y=[Coord_y(1) Coord_y(end)];
|
---|
820 | end
|
---|
821 | end
|
---|
822 | %define coordinates as CoordUnits, if not defined as attribute for each variable
|
---|
823 | if isfield(Data,'CoordUnit')
|
---|
824 | if isempty(x_units)
|
---|
825 | x_units=Data.CoordUnit;
|
---|
826 | end
|
---|
827 | if isempty(y_units)
|
---|
828 | y_units=Data.CoordUnit;
|
---|
829 | end
|
---|
830 | end
|
---|
831 | end
|
---|
832 |
|
---|
833 | PlotParamOut=PlotParam; % output plot parameters equal to input by default
|
---|
834 |
|
---|
835 | %% image or scalar plot %%%%%%%%%%%%%%%%%%%%%%%%%%
|
---|
836 | if test_ima
|
---|
837 | % distinguish B/W and color images
|
---|
838 | np=size(A);%size of image
|
---|
839 | siz=numel(np);
|
---|
840 | if siz>3
|
---|
841 | errormsg=['unrecognized scalar type: ' num2str(siz) ' dimensions'];
|
---|
842 | return
|
---|
843 | end
|
---|
844 | if siz==3
|
---|
845 | if np(3)==1
|
---|
846 | siz=2;%B W image
|
---|
847 | elseif np(3)==3
|
---|
848 | siz=3;%color image
|
---|
849 | else
|
---|
850 | errormsg=['unrecognized scalar type in plot_field: considered as 2D field with ' num2str(np(3)) ' color components'];
|
---|
851 | return
|
---|
852 | end
|
---|
853 | end
|
---|
854 |
|
---|
855 | %set for grey scale setting
|
---|
856 | if isfield(PlotParam.Scalar,'CheckBW') && ~isempty(PlotParam.Scalar.CheckBW)
|
---|
857 | BW=PlotParam.Scalar.CheckBW; %BW=0 color imposed, else gray scale imposed.
|
---|
858 | else % BW imposed automatically chosen
|
---|
859 | BW=(siz==2) && (isa(A,'uint8')|| isa(A,'uint16'));% non color images represented in gray scale by default
|
---|
860 | PlotParamOut.Scalar.CheckBW=BW;
|
---|
861 | end
|
---|
862 |
|
---|
863 | % determine the plot option 'image' or 'contours'
|
---|
864 | CheckContour=0; %default
|
---|
865 | if isfield(PlotParam.Scalar,'ListContour')
|
---|
866 | CheckContour=strcmp(PlotParam.Scalar.ListContour,'contours');% =1 for contour plot option
|
---|
867 | end
|
---|
868 |
|
---|
869 | %case of grey level images or contour plot
|
---|
870 | if ~isfield(PlotParam.Scalar,'CheckFixScalar')
|
---|
871 | PlotParam.Scalar.CheckFixScalar=0;% free scalar threshold value scale (from min to max) by default
|
---|
872 | end
|
---|
873 | if ~isfield(PlotParam.Scalar,'MinA')
|
---|
874 | PlotParam.Scalar.MinA=[];%no min scalar threshold value set
|
---|
875 | end
|
---|
876 | if ~isfield(PlotParam.Scalar,'MaxA')
|
---|
877 | PlotParam.Scalar.MaxA=[];%no max scalar threshold value set
|
---|
878 | end
|
---|
879 |
|
---|
880 | % determine the min scalar value
|
---|
881 | if PlotParam.Scalar.CheckFixScalar && ~isempty(PlotParam.Scalar.MinA) && isnumeric(PlotParam.Scalar.MinA)
|
---|
882 | MinA=double(PlotParam.Scalar.MinA); % min value set as input
|
---|
883 | else
|
---|
884 | MinA=double(min(min(min(A)))); % min value set as min of non NaN scalar values
|
---|
885 | end
|
---|
886 |
|
---|
887 | % error if the input scalar is NaN everywhere
|
---|
888 | if isnan(MinA)
|
---|
889 | errormsg='NaN input scalar or image in plot_field';
|
---|
890 | return
|
---|
891 | end
|
---|
892 |
|
---|
893 | % determine the max scalar value
|
---|
894 | CheckFixScalar=0;
|
---|
895 | if PlotParam.Scalar.CheckFixScalar && ~isempty(PlotParam.Scalar.MaxA) && isnumeric(PlotParam.Scalar.MaxA)
|
---|
896 | MaxA=double(PlotParam.Scalar.MaxA); % max value set as input
|
---|
897 | CheckFixScalar=1;
|
---|
898 | else
|
---|
899 | MaxA=double(max(max(max(A)))); % max value set as min of non NaN scalar values
|
---|
900 | end
|
---|
901 |
|
---|
902 | PlotParamOut.Scalar.MinA=MinA;
|
---|
903 | PlotParamOut.Scalar.MaxA=MaxA;
|
---|
904 | PlotParamOut.Scalar.Npx=size(A,2);
|
---|
905 | PlotParamOut.Scalar.Npy=size(A,1);
|
---|
906 | % if siz==2
|
---|
907 | % case of contour plot
|
---|
908 | if CheckContour
|
---|
909 | if ~isempty(hima) && ishandle(hima)
|
---|
910 | delete(hima) % delete existing image
|
---|
911 | end
|
---|
912 |
|
---|
913 | % set the contour values
|
---|
914 | if ~isfield(PlotParam.Scalar,'IncrA')
|
---|
915 | PlotParam.Scalar.IncrA=[];% automatic contour interval
|
---|
916 | end
|
---|
917 | if ~isempty(PlotParam.Scalar.IncrA) && isnumeric(PlotParam.Scalar.IncrA)
|
---|
918 | interval=PlotParam.Scalar.IncrA;
|
---|
919 | else % automatic contour interval
|
---|
920 | cont=colbartick(MinA,MaxA);
|
---|
921 | interval=cont(2)-cont(1);%default
|
---|
922 | PlotParamOut.Scalar.IncrA=interval;% set the interval as output for display on the GUI
|
---|
923 | end
|
---|
924 | abscontmin=interval*floor(MinA/interval);
|
---|
925 | abscontmax=interval*ceil(MaxA/interval);
|
---|
926 | contmin=interval*floor(min(min(A))/interval);
|
---|
927 | contmax=interval*ceil(max(max(A))/interval);
|
---|
928 | cont_pos_plus=0:interval:contmax;% zero and positive contour values (plotted as solid lines)
|
---|
929 | cont_pos_min=double(contmin):interval:-interval;% negative contour values (plotted as dashed lines)
|
---|
930 | cont_pos=[cont_pos_min cont_pos_plus];% set of all contour values
|
---|
931 |
|
---|
932 | sizpx=(Coord_x(end)-Coord_x(1))/(np(2)-1);
|
---|
933 | sizpy=(Coord_y(1)-Coord_y(end))/(np(1)-1);
|
---|
934 | x_cont=Coord_x(1):sizpx:Coord_x(end); % pixel x coordinates for image display
|
---|
935 | y_cont=Coord_y(1):-sizpy:Coord_y(end); % pixel x coordinates for image display
|
---|
936 |
|
---|
937 | %axes(haxes)% set the input axes handle as current axis
|
---|
938 |
|
---|
939 | % colormap(map);
|
---|
940 | tag_axes=get(haxes,'Tag');% axes tag
|
---|
941 | Opacity=1;
|
---|
942 | if isfield(PlotParam.Scalar,'Opacity')&&~isempty(PlotParam.Scalar.Opacity)
|
---|
943 | Opacity=PlotParam.Scalar.Opacity;
|
---|
944 | end
|
---|
945 | % fill the space between contours if opacity is undefined or =1
|
---|
946 | if isequal(Opacity,1)
|
---|
947 | [var,hcontour]=contour(haxes,x_cont,y_cont,A,cont_pos);% determine all contours
|
---|
948 | set(hcontour,'Fill','on')% fill the space between contours
|
---|
949 | set(hcontour,'LineStyle','none')
|
---|
950 | hold on
|
---|
951 | end
|
---|
952 | [var_p,hcontour_p]=contour(haxes,x_cont,y_cont,A,cont_pos_plus,'k-');% draw the contours for positive values as solid lines
|
---|
953 | hold on
|
---|
954 | [var_m,hcontour_m]=contour(haxes,x_cont,y_cont,A,cont_pos_min,'--');% draw the contours for negative values as dashed lines
|
---|
955 | if isequal(Opacity,1)
|
---|
956 | set(hcontour_m,'LineColor',[1 1 1])% draw negative contours in white (better visibility in dark background)
|
---|
957 | end
|
---|
958 | set(haxes,'Tag',tag_axes);% restore axes tag (removed by the matlab fct contour !)
|
---|
959 | hold off
|
---|
960 |
|
---|
961 | %determine the color scale and map
|
---|
962 | caxis([abscontmin abscontmax])
|
---|
963 | if BW
|
---|
964 | vec=linspace(0,1,(abscontmax-abscontmin)/interval);%define a greyscale colormap with steps interval
|
---|
965 | map=[vec' vec' vec'];
|
---|
966 | colormap(map);
|
---|
967 | else
|
---|
968 | colormap('jet'); % default matlab colormap ('jet')
|
---|
969 | end
|
---|
970 | else %usual images (no contour)
|
---|
971 | % set colormap for image display
|
---|
972 | if BW
|
---|
973 | vec=linspace(0,1,255);%define a linear greyscale colormap
|
---|
974 | map=[vec' vec' vec'];
|
---|
975 | colormap(map); %grey scale color map
|
---|
976 | if siz==3% true color images visualized in BW
|
---|
977 | A=uint16(sum(A,3));%sum the three color components for color images displayed with BW option
|
---|
978 | end
|
---|
979 | else
|
---|
980 | if siz==3 && CheckFixScalar % true color images rescaled by MaxA
|
---|
981 | A=uint8(255*double(A)/double(MaxA));
|
---|
982 | end
|
---|
983 | colormap('default'); % standard false colors for div, vort , scalar fields
|
---|
984 | end
|
---|
985 |
|
---|
986 | % interpolate field to increase resolution of image display
|
---|
987 | test_interp=0;
|
---|
988 | if size(A,3)==1 % scalar or B/W image
|
---|
989 | test_interp=1;
|
---|
990 | if max(np) <= 64
|
---|
991 | npxy=8*np;% increase the resolution 8 times
|
---|
992 | elseif max(np) <= 128
|
---|
993 | npxy=4*np;% increase the resolution 4 times
|
---|
994 | elseif max(np) <= 256
|
---|
995 | npxy=2*np;% increase the resolution 2 times
|
---|
996 | else
|
---|
997 | npxy=np;
|
---|
998 | test_interp=0; % no interpolation done
|
---|
999 | end
|
---|
1000 | end
|
---|
1001 | if test_interp%if we interpolate
|
---|
1002 | x=linspace(Coord_x(1),Coord_x(2),np(2));
|
---|
1003 | y=linspace(Coord_y(1),Coord_y(2),np(1));
|
---|
1004 | [X,Y]=meshgrid(x,y);
|
---|
1005 | xi=linspace(Coord_x(1),Coord_x(2),npxy(2));
|
---|
1006 | yi=linspace(Coord_y(1),Coord_y(2),npxy(1));
|
---|
1007 | A = interp2(X,Y,double(A),xi,yi');
|
---|
1008 | end
|
---|
1009 | % create new image if no image handle is found
|
---|
1010 | if isempty(hima)
|
---|
1011 | tag=get(haxes,'Tag');
|
---|
1012 | if MinA<MaxA
|
---|
1013 | hima=imagesc(Coord_x,Coord_y,A,[MinA MaxA]);
|
---|
1014 | else % to deal with uniform field
|
---|
1015 | hima=imagesc(Coord_x,Coord_y,A,[MaxA-1 MaxA]);
|
---|
1016 | end
|
---|
1017 | % the function imagesc reset the axes 'DataAspectRatioMode'='auto', change if .CheckFixAspectRatio is
|
---|
1018 | % requested:
|
---|
1019 | set(hima,'Tag','ima')
|
---|
1020 | set(hima,'HitTest','off')
|
---|
1021 | set(haxes,'Tag',tag);%preserve the axes tag (removed by image fct !!!)
|
---|
1022 | uistack(hima, 'bottom')
|
---|
1023 | % update an existing image
|
---|
1024 | else
|
---|
1025 | set(hima,'CData',A);
|
---|
1026 | if MinA<MaxA
|
---|
1027 | set(haxes,'CLim',[MinA MaxA])
|
---|
1028 | else
|
---|
1029 | set(haxes,'CLim',[MinA MaxA+1])
|
---|
1030 | end
|
---|
1031 | set(hima,'XData',Coord_x);
|
---|
1032 | set(hima,'YData',Coord_y);
|
---|
1033 | end
|
---|
1034 |
|
---|
1035 | % set the transparency to 0.5 if vectors are also plotted
|
---|
1036 | if isfield(PlotParam.Scalar,'Opacity')&& ~isempty(PlotParam.Scalar.Opacity)
|
---|
1037 | set(hima,'AlphaData',PlotParam.Scalar.Opacity)
|
---|
1038 | else
|
---|
1039 | if test_vec
|
---|
1040 | set(hima,'AlphaData',0.5)%set opacity to 0.5 by default in the presence of vectors
|
---|
1041 | PlotParamOut.Scalar.Opacity=0.5;
|
---|
1042 | else
|
---|
1043 | set(hima,'AlphaData',1)% full opacity (no transparency) by default
|
---|
1044 | end
|
---|
1045 | end
|
---|
1046 | end
|
---|
1047 | if isfield(PlotParam.Axes,'CheckFixAspectRatio') && isequal(PlotParam.Axes.CheckFixAspectRatio,1)
|
---|
1048 | set(haxes,'DataAspectRatioMode','manual')
|
---|
1049 | if isfield(PlotParam.Axes,'AspectRatio')
|
---|
1050 | set(haxes,'DataAspectRatio',[PlotParam.Axes.AspectRatio 1 1])
|
---|
1051 | else
|
---|
1052 | set(haxes,'DataAspectRatio',[1 1 1])
|
---|
1053 | end
|
---|
1054 | end
|
---|
1055 | test_ima=1;
|
---|
1056 |
|
---|
1057 | %display the colorbar code for B/W images if Poscolorbar not empty
|
---|
1058 | if ~isempty(PosColorbar)
|
---|
1059 | if size(A,3)==1 && exist('PosColorbar','var')
|
---|
1060 | if isempty(hcol)||~ishandle(hcol)
|
---|
1061 | hcol=colorbar;%create new colorbar
|
---|
1062 | end
|
---|
1063 | if length(PosColorbar)==4
|
---|
1064 | set(hcol,'Position',PosColorbar)
|
---|
1065 | end
|
---|
1066 | %YTick=0;%default
|
---|
1067 | if MaxA>MinA
|
---|
1068 | if CheckContour
|
---|
1069 | colbarlim=get(hcol,'YLim');
|
---|
1070 | scale_bar=(colbarlim(2)-colbarlim(1))/(abscontmax-abscontmin);
|
---|
1071 | YTick=cont_pos(2:end-1);
|
---|
1072 | YTick_scaled=colbarlim(1)+scale_bar*(YTick-abscontmin);
|
---|
1073 | set(hcol,'YTick',YTick_scaled);
|
---|
1074 | elseif (isfield(PlotParam.Scalar,'CheckBW') && isequal(PlotParam.Scalar.CheckBW,1))||isa(A,'uint8')|| isa(A,'uint16')%images
|
---|
1075 | hi=get(hcol,'children');
|
---|
1076 | if iscell(hi)%multiple images in colorbar
|
---|
1077 | hi=hi{1};
|
---|
1078 | end
|
---|
1079 | set(hi,'YData',[MinA MaxA])
|
---|
1080 | set(hi,'CData',(1:256)')
|
---|
1081 | set(hcol,'YLim',[MinA MaxA])
|
---|
1082 | YTick=colbartick(MinA,MaxA);
|
---|
1083 | set(hcol,'YTick',YTick)
|
---|
1084 | else
|
---|
1085 | hi=get(hcol,'children');
|
---|
1086 | if iscell(hi)%multiple images in colorbar
|
---|
1087 | hi=hi{1};
|
---|
1088 | end
|
---|
1089 | set(hi,'YData',[MinA MaxA])
|
---|
1090 | set(hi,'CData',(1:64)')
|
---|
1091 | YTick=colbartick(MinA,MaxA);
|
---|
1092 | set(hcol,'YLim',[MinA MaxA])
|
---|
1093 | set(hcol,'YTick',YTick)
|
---|
1094 | end
|
---|
1095 | set(hcol,'Yticklabel',num2str(YTick'));
|
---|
1096 | end
|
---|
1097 | elseif ishandle(hcol)
|
---|
1098 | delete(hcol); %erase existing colorbar if not needed
|
---|
1099 | end
|
---|
1100 | end
|
---|
1101 | else%no scalar plot
|
---|
1102 | if ~isempty(hima) && ishandle(hima)
|
---|
1103 | delete(hima)
|
---|
1104 | end
|
---|
1105 | if ~isempty(PosColorbar) && ~isempty(hcol)&& ishandle(hcol)
|
---|
1106 | delete(hcol)
|
---|
1107 | end
|
---|
1108 | PlotParamOut=rmfield(PlotParamOut,'Scalar');
|
---|
1109 | end
|
---|
1110 |
|
---|
1111 | %% vector plot %%%%%%%%%%%%%%%%%%%%%%%%%%
|
---|
1112 | if test_vec
|
---|
1113 | %vector scale representation
|
---|
1114 | if size(vec_U,1)==numel(vec_Y) && size(vec_U,2)==numel(vec_X); % x, y coordinate variables
|
---|
1115 | [vec_X,vec_Y]=meshgrid(vec_X,vec_Y);
|
---|
1116 | end
|
---|
1117 | vec_X=reshape(vec_X,1,numel(vec_X));%reshape in matlab vectors
|
---|
1118 | vec_Y=reshape(vec_Y,1,numel(vec_Y));
|
---|
1119 | vec_U=reshape(vec_U,1,numel(vec_U));
|
---|
1120 | vec_V=reshape(vec_V,1,numel(vec_V));
|
---|
1121 | MinMaxX=max(vec_X)-min(vec_X);
|
---|
1122 | if isfield(PlotParam.Vectors,'CheckFixVectors') && isequal(PlotParam.Vectors.CheckFixVectors,1)&& isfield(PlotParam.Vectors,'VecScale')...
|
---|
1123 | &&~isempty(PlotParam.Vectors.VecScale) && isa(PlotParam.Vectors.VecScale,'double') %fixed vector scale
|
---|
1124 | scale=PlotParam.Vectors.VecScale; %impose the length of vector representation
|
---|
1125 | else
|
---|
1126 | if ~test_false %remove false vectors
|
---|
1127 | indsel=1:numel(vec_X);%
|
---|
1128 | end
|
---|
1129 | if isempty(vec_U)
|
---|
1130 | scale=1;
|
---|
1131 | else
|
---|
1132 | if isempty(indsel)
|
---|
1133 | MaxU=max(abs(vec_U));
|
---|
1134 | MaxV=max(abs(vec_V));
|
---|
1135 | else
|
---|
1136 | MaxU=max(abs(vec_U(indsel)));
|
---|
1137 | MaxV=max(abs(vec_V(indsel)));
|
---|
1138 | end
|
---|
1139 | scale=MinMaxX/(max(MaxU,MaxV)*50);
|
---|
1140 | PlotParam.Vectors.VecScale=scale;%update the 'scale' display
|
---|
1141 | end
|
---|
1142 | end
|
---|
1143 |
|
---|
1144 | %record vectors on the plotting axes
|
---|
1145 | if test_C==0
|
---|
1146 | vec_C=ones(1,numel(vec_X));
|
---|
1147 | end
|
---|
1148 |
|
---|
1149 | %decimate by a factor 2 in vector mesh(4 in nbre of vectors)
|
---|
1150 | check_decimate=0;
|
---|
1151 | if isfield(PlotParam.Vectors,'CheckDecimate4') && PlotParam.Vectors.CheckDecimate4
|
---|
1152 | check_decimate=1;
|
---|
1153 | diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i)
|
---|
1154 | dy_thresh=max(abs(diffy))/2;
|
---|
1155 | ind_jump=find(abs(diffy) > dy_thresh); %indices with diff(vec_Y)> max/2, detect change of line
|
---|
1156 | ind_sel=1:ind_jump(1);%select the first line
|
---|
1157 | for i=2:2:length(ind_jump)-1
|
---|
1158 | ind_sel=[ind_sel (ind_jump(i)+1:ind_jump(i+1))];% select the odd lines
|
---|
1159 | end
|
---|
1160 | nb_sel=length(ind_sel);
|
---|
1161 | ind_sel=ind_sel(1:2:nb_sel);% take half the points on a line
|
---|
1162 | elseif isfield(PlotParam.Vectors,'CheckDecimate16') && PlotParam.Vectors.CheckDecimate16
|
---|
1163 | check_decimate=1;
|
---|
1164 | diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i)
|
---|
1165 | dy_thresh=max(abs(diffy))/2;
|
---|
1166 | ind_jump=find(abs(diffy) > dy_thresh); %indices with diff(vec_Y)> max/2, detect change of line
|
---|
1167 | ind_sel=1:ind_jump(1);%select the first line
|
---|
1168 | for i=2:4:length(ind_jump)-1
|
---|
1169 | ind_sel=[ind_sel (ind_jump(i)+1:ind_jump(i+1))];% select the odd lines
|
---|
1170 | end
|
---|
1171 | nb_sel=length(ind_sel);
|
---|
1172 | ind_sel=ind_sel(1:4:nb_sel);% take half the points on a line
|
---|
1173 | end
|
---|
1174 | if check_decimate
|
---|
1175 | vec_X=vec_X(ind_sel);
|
---|
1176 | vec_Y=vec_Y(ind_sel);
|
---|
1177 | vec_U=vec_U(ind_sel);
|
---|
1178 | vec_V=vec_V(ind_sel);
|
---|
1179 | vec_C=vec_C(ind_sel);
|
---|
1180 | if ~isempty(ivar_F)
|
---|
1181 | vec_F=vec_F(ind_sel);
|
---|
1182 | end
|
---|
1183 | if ~isempty(ivar_FF_vec)
|
---|
1184 | vec_FF=vec_FF(ind_sel);
|
---|
1185 | end
|
---|
1186 | end
|
---|
1187 |
|
---|
1188 | %get main level color code
|
---|
1189 | [colorlist,col_vec,PlotParamOut.Vectors]=set_col_vec(PlotParam.Vectors,vec_C);
|
---|
1190 |
|
---|
1191 | % take flags into account: add flag colors to the list of colors
|
---|
1192 | sizlist=size(colorlist);
|
---|
1193 | nbcolor=sizlist(1);
|
---|
1194 | if test_black
|
---|
1195 | nbcolor=nbcolor+1;
|
---|
1196 | colorlist(nbcolor,:)=[0 0 0]; %add black to the list of colors
|
---|
1197 | if ~isempty(ivar_FF_vec)
|
---|
1198 | col_vec(vec_F~=1 & vec_F~=0 & vec_FF==0)=nbcolor;
|
---|
1199 | else
|
---|
1200 | col_vec(vec_F~=1 & vec_F~=0)=nbcolor;
|
---|
1201 | end
|
---|
1202 | end
|
---|
1203 | nbcolor=nbcolor+1;
|
---|
1204 | if ~isempty(ivar_FF_vec)
|
---|
1205 | if isfield(PlotParam.Vectors,'CheckHideFalse') && PlotParam.Vectors.CheckHideFalse==1
|
---|
1206 | colorlist(nbcolor,:)=[NaN NaN NaN];% no plot of false vectors
|
---|
1207 | else
|
---|
1208 | colorlist(nbcolor,:)=[1 0 1];% magenta color
|
---|
1209 | end
|
---|
1210 | col_vec(vec_FF~=0)=nbcolor;
|
---|
1211 | end
|
---|
1212 | %plot vectors:
|
---|
1213 | quiresetn(haxes,vec_X,vec_Y,vec_U,vec_V,scale,colorlist,col_vec);
|
---|
1214 |
|
---|
1215 | else
|
---|
1216 | hvec=findobj(haxes,'Tag','vel');
|
---|
1217 | if ~isempty(hvec)
|
---|
1218 | delete(hvec);
|
---|
1219 | end
|
---|
1220 | PlotParamOut=rmfield(PlotParamOut,'Vectors');
|
---|
1221 | end
|
---|
1222 | % nbvar=0;
|
---|
1223 |
|
---|
1224 | %store the coordinate extrema occupied by the field
|
---|
1225 | if ~isempty(Data)
|
---|
1226 | MinX=[];
|
---|
1227 | MaxX=[];
|
---|
1228 | MinY=[];
|
---|
1229 | MaxY=[];
|
---|
1230 | fix_lim=isfield(PlotParam.Axes,'CheckFixLimits') && PlotParam.Axes.CheckFixLimits;
|
---|
1231 | if fix_lim
|
---|
1232 | if isfield(PlotParam.Axes,'MinX')&&isfield(PlotParam.Axes,'MaxX')&&isfield(PlotParam.Axes,'MinY')&&isfield(PlotParam.Axes,'MaxY')
|
---|
1233 | MinX=PlotParam.Axes.MinX;
|
---|
1234 | MaxX=PlotParam.Axes.MaxX;
|
---|
1235 | MinY=PlotParam.Axes.MinY;
|
---|
1236 | MaxY=PlotParam.Axes.MaxY;
|
---|
1237 | end %else PlotParamOut.MinX =PlotParam.MinX...
|
---|
1238 | else
|
---|
1239 | if test_ima %both background image and vectors coexist, take the wider bound
|
---|
1240 | MinX=min(Coord_x);
|
---|
1241 | MaxX=max(Coord_x);
|
---|
1242 | MinY=min(Coord_y);
|
---|
1243 | MaxY=max(Coord_y);
|
---|
1244 | if test_vec
|
---|
1245 | MinX=min(MinX,min(vec_X));
|
---|
1246 | MaxX=max(MaxX,max(vec_X));
|
---|
1247 | MinY=min(MinY,min(vec_Y));
|
---|
1248 | MaxY=max(MaxY,max(vec_Y));
|
---|
1249 | end
|
---|
1250 | elseif test_vec
|
---|
1251 | MinX=min(vec_X);
|
---|
1252 | MaxX=max(vec_X);
|
---|
1253 | MinY=min(vec_Y);
|
---|
1254 | MaxY=max(vec_Y);
|
---|
1255 | end
|
---|
1256 | end
|
---|
1257 | PlotParamOut.Axes.MinX=MinX;
|
---|
1258 | PlotParamOut.Axes.MaxX=MaxX;
|
---|
1259 | PlotParamOut.Axes.MinY=MinY;
|
---|
1260 | PlotParamOut.Axes.MaxY=MaxY;
|
---|
1261 | if MaxX>MinX
|
---|
1262 | set(haxes,'XLim',[MinX MaxX]);% set x limits of frame in axes coordinates
|
---|
1263 | end
|
---|
1264 | if MaxY>MinY
|
---|
1265 | set(haxes,'YLim',[MinY MaxY]);% set x limits of frame in axes coordinates
|
---|
1266 | end
|
---|
1267 | set(haxes,'YDir','normal')
|
---|
1268 | set(get(haxes,'XLabel'),'String',[XName ' (' x_units ')']);
|
---|
1269 | set(get(haxes,'YLabel'),'String',[YName ' (' y_units ')']);
|
---|
1270 | PlotParamOut.Axes.x_units=x_units;
|
---|
1271 | PlotParamOut.Axes.y_units=y_units;
|
---|
1272 | end
|
---|
1273 |
|
---|
1274 | %-------------------------------------------------------------------
|
---|
1275 | % --- function for plotting vectors
|
---|
1276 | %INPUT:
|
---|
1277 | % haxes: handles of the plotting axes
|
---|
1278 | % x,y,u,v: vectors coordinates and vector components to plot, arrays withb the same dimension
|
---|
1279 | % scale: scaling factor for vector length representation
|
---|
1280 | % colorlist(icolor,:): list of vector colors, dim (nbcolor,3), depending on color #i
|
---|
1281 | % col_vec: matlab vector setting the color number #i for each velocity vector
|
---|
1282 | function quiresetn(haxes,x,y,u,v,scale,colorlist,col_vec)
|
---|
1283 | %-------------------------------------------------------------------
|
---|
1284 | %define arrows
|
---|
1285 | theta=0.5 ;%angle arrow
|
---|
1286 | alpha=0.3 ;%length arrow
|
---|
1287 | rot=alpha*[cos(theta) -sin(theta); sin(theta) cos(theta)]';
|
---|
1288 | %find the existing lines
|
---|
1289 | h=findobj(haxes,'Tag','vel');% search existing lines in the current axes
|
---|
1290 | sizh=size(h);
|
---|
1291 | %set(h,'EraseMode','xor');
|
---|
1292 | set(haxes,'NextPlot','replacechildren');
|
---|
1293 |
|
---|
1294 | %drawnow
|
---|
1295 | %create lines (if no lines) or modify them
|
---|
1296 | if ~isequal(size(col_vec),size(x))
|
---|
1297 | col_vec=ones(size(x));% case of error in col_vec input
|
---|
1298 | end
|
---|
1299 | sizlist=size(colorlist);
|
---|
1300 | ncolor=sizlist(1);
|
---|
1301 |
|
---|
1302 | for icolor=1:ncolor
|
---|
1303 | %determine the line positions for each color icolor
|
---|
1304 | ind=find(col_vec==icolor);
|
---|
1305 | xc=x(ind);
|
---|
1306 | yc=y(ind);
|
---|
1307 | uc=u(ind)*scale;
|
---|
1308 | vc=v(ind)*scale;
|
---|
1309 | n=size(xc);
|
---|
1310 | xN=NaN*ones(size(xc));
|
---|
1311 | matx=[xc(:)-uc(:)/2 xc(:)+uc(:)/2 xN(:)]';
|
---|
1312 | matx=reshape(matx,1,3*n(2));
|
---|
1313 | maty=[yc(:)-vc(:)/2 yc(:)+vc(:)/2 xN(:)]';
|
---|
1314 | maty=reshape(maty,1,3*n(2));
|
---|
1315 |
|
---|
1316 | %determine arrow heads
|
---|
1317 | arrowplus=rot*[uc;vc];
|
---|
1318 | arrowmoins=rot'*[uc;vc];
|
---|
1319 | x1=xc+uc/2-arrowplus(1,:);
|
---|
1320 | x2=xc+uc/2;
|
---|
1321 | x3=xc+uc/2-arrowmoins(1,:);
|
---|
1322 | y1=yc+vc/2-arrowplus(2,:);
|
---|
1323 | y2=yc+vc/2;
|
---|
1324 | y3=yc+vc/2-arrowmoins(2,:);
|
---|
1325 | matxar=[x1(:) x2(:) x3(:) xN(:)]';
|
---|
1326 | matxar=reshape(matxar,1,4*n(2));
|
---|
1327 | matyar=[y1(:) y2(:) y3(:) xN(:)]';
|
---|
1328 | matyar=reshape(matyar,1,4*n(2));
|
---|
1329 | %draw the line or modify the existing ones
|
---|
1330 | % tri=reshape(1:3*length(uc),3,[])';
|
---|
1331 | isn=isnan(colorlist(icolor,:));%test if color NaN
|
---|
1332 | if 2*icolor > sizh(1) %if icolor exceeds the number of existing ones
|
---|
1333 | if ~isn(1) %if the vectors are visible color not nan
|
---|
1334 | if n(2)>0
|
---|
1335 | hold on
|
---|
1336 | line(matx,maty,'Color',colorlist(icolor,:),'Tag','vel');% plot new lines
|
---|
1337 | line(matxar,matyar,'Color',colorlist(icolor,:),'Tag','vel');% plot arrows
|
---|
1338 | end
|
---|
1339 | end
|
---|
1340 | else
|
---|
1341 | if isn(1)
|
---|
1342 | delete(h(2*icolor-1))
|
---|
1343 | delete(h(2*icolor))
|
---|
1344 | else
|
---|
1345 | set(h(2*icolor-1),'Xdata',matx,'Ydata',maty);
|
---|
1346 | set(h(2*icolor-1),'Color',colorlist(icolor,:));
|
---|
1347 | % set(h(2*icolor-1),'EraseMode','xor');
|
---|
1348 | set(h(2*icolor),'Xdata',matxar,'Ydata',matyar);
|
---|
1349 | set(h(2*icolor),'Color',colorlist(icolor,:));
|
---|
1350 | %set(h(2*icolor),'EraseMode','xor');
|
---|
1351 | end
|
---|
1352 | end
|
---|
1353 | end
|
---|
1354 | if sizh(1) > 2*ncolor
|
---|
1355 | for icolor=ncolor+1 : sizh(1)/2%delete additional objects
|
---|
1356 | delete(h(2*icolor-1))
|
---|
1357 | delete(h(2*icolor))
|
---|
1358 | end
|
---|
1359 | end
|
---|
1360 |
|
---|
1361 | %-------------------------------------------------------------------
|
---|
1362 | % ---- determine tick positions for colorbar
|
---|
1363 | function YTick=colbartick(MinA,MaxA)
|
---|
1364 | %-------------------------------------------------------------------
|
---|
1365 | %determine tick positions with "simple" values between MinA and MaxA
|
---|
1366 | YTick=0;%default
|
---|
1367 | maxabs=max([abs(MinA) abs(MaxA)]);
|
---|
1368 | if maxabs>0
|
---|
1369 | ord=10^(floor(log10(maxabs)));%order of magnitude
|
---|
1370 | div=1;
|
---|
1371 | siz2=1;
|
---|
1372 | while siz2<2
|
---|
1373 | values=-10:div:10;
|
---|
1374 | ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);%indices of 'values' such that MinA<ord*values<MaxA
|
---|
1375 | siz=size(ind);
|
---|
1376 | if siz(2)<4%if there are less than 4 selected values (4 levels)
|
---|
1377 | values=-9:0.5*div:9;
|
---|
1378 | ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);
|
---|
1379 | end
|
---|
1380 | siz2=size(ind,2);
|
---|
1381 | div=div/10;
|
---|
1382 | end
|
---|
1383 | YTick=ord*values(ind);
|
---|
1384 | end
|
---|
1385 |
|
---|
1386 | % -------------------------------------------------------------------------
|
---|
1387 | % --- 'proj_grid': project fields with unstructured coordinantes on a regular grid
|
---|
1388 | function [A,rangx,rangy]=proj_grid(vec_X,vec_Y,vec_A,rgx_in,rgy_in,npxy_in)
|
---|
1389 | % -------------------------------------------------------------------------
|
---|
1390 | if length(vec_Y)<2
|
---|
1391 | msgbox_uvmat('ERROR','less than 2 points in proj_grid.m');
|
---|
1392 | return;
|
---|
1393 | end
|
---|
1394 | diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i)
|
---|
1395 | index=find(diffy);% find the indices of vec_Y after wich a change of horizontal line occurs(diffy non zero)
|
---|
1396 | if isempty(index); msgbox_uvmat('ERROR','points aligned along abscissa in proj_grid.m'); return; end;%points aligned% A FAIRE: switch to line plot.
|
---|
1397 | diff2=diff(diffy(index));% diff2 = fluctuations of the detected vertical grid mesh dy
|
---|
1398 | if max(abs(diff2))>0.001*abs(diffy(index(1))) % if max(diff2) is larger than 1/1000 of the first mesh dy
|
---|
1399 | % the data are not regularly spaced and must be interpolated on a regular grid
|
---|
1400 | if exist('rgx_in','var') & ~isempty (rgx_in) & isnumeric(rgx_in) & length(rgx_in)==2% positions imposed from input
|
---|
1401 | rangx=rgx_in; % first and last positions
|
---|
1402 | rangy=rgy_in;
|
---|
1403 | dxy(1)=1/(npxy_in(1)-1);%grid mesh in y
|
---|
1404 | dxy(2)=1/(npxy_in(2)-1);%grid mesh in x
|
---|
1405 | dxy(1)=(rangy(2)-rangy(1))/(npxy_in(1)-1);%grid mesh in y
|
---|
1406 | dxy(2)=(rangx(2)-rangx(1))/(npxy_in(2)-1);%grid mesh in x
|
---|
1407 | else % interpolation grid automatically determined
|
---|
1408 | rangx(1)=min(vec_X);
|
---|
1409 | rangx(2)=max(vec_X);
|
---|
1410 | rangy(2)=min(vec_Y);
|
---|
1411 | rangy(1)=max(vec_Y);
|
---|
1412 | dxymod=sqrt((rangx(2)-rangx(1))*(rangy(1)-rangy(2))/length(vec_X));
|
---|
1413 | dxy=[-dxymod/4 dxymod/4];% increase the resolution 4 times
|
---|
1414 | end
|
---|
1415 | xi=rangx(1):dxy(2):rangx(2);
|
---|
1416 | yi=rangy(1):dxy(1):rangy(2);
|
---|
1417 | A=griddata(vec_X,vec_Y,vec_A,xi,yi');
|
---|
1418 | A=reshape(A,length(yi),length(xi));total
|
---|
1419 | else
|
---|
1420 | x=vec_X(1:index(1));% the set of abscissa (obtained on the first line)
|
---|
1421 | indexend=index(end);% last vector index of line change
|
---|
1422 | ymax=vec_Y(indexend+1);% y coordinate AFTER line change
|
---|
1423 | ymin=vec_Y(index(1));
|
---|
1424 | y=vec_Y(index);
|
---|
1425 | y(length(y)+1)=ymax;
|
---|
1426 | nx=length(x); %number of grid points in x
|
---|
1427 | ny=length(y); % number of grid points in y
|
---|
1428 | B=(reshape(vec_A,nx,ny))'; %vec_A reshaped as a rectangular matrix
|
---|
1429 | [X,Y]=meshgrid(x,y);% positions X and Y also reshaped as matrix
|
---|
1430 |
|
---|
1431 | %linear interpolation to improve the image resolution and/or adjust
|
---|
1432 | %to prescribed positions
|
---|
1433 | test_interp=1;
|
---|
1434 | if exist('rgx_in','var') & ~isempty (rgx_in) & isnumeric(rgx_in) & length(rgx_in)==2% positions imposed from input
|
---|
1435 | rangx=rgx_in; % first and last positions
|
---|
1436 | rangy=rgy_in;
|
---|
1437 | npxy=npxy_in;
|
---|
1438 | else
|
---|
1439 | rangx=[vec_X(1) vec_X(nx)];% first and last position found for x
|
---|
1440 | rangy=[max(ymax,ymin) min(ymax,ymin)];
|
---|
1441 | if max(nx,ny) <= 64 & isequal(npxy_in,'np>256')
|
---|
1442 | npxy=[8*ny 8*nx];% increase the resolution 8 times
|
---|
1443 | elseif max(nx,ny) <= 128 & isequal(npxy_in,'np>256')
|
---|
1444 | npxy=[4*ny 4*nx];% increase the resolution 4 times
|
---|
1445 | elseif max(nx,ny) <= 256 & isequal(npxy_in,'np>256')
|
---|
1446 | npxy=[2*ny 2*nx];% increase the resolution 2 times
|
---|
1447 | else
|
---|
1448 | npxy=[ny nx];
|
---|
1449 | test_interp=0; % no interpolation done
|
---|
1450 | end
|
---|
1451 | end
|
---|
1452 | if test_interp==1%if we interpolate
|
---|
1453 | xi=[rangx(1):(rangx(2)-rangx(1))/(npxy(2)-1):rangx(2)];
|
---|
1454 | yi=[rangy(1):(rangy(2)-rangy(1))/(npxy(1)-1):rangy(2)];
|
---|
1455 | [XI,YI]=meshgrid(xi,yi);
|
---|
1456 | A = interp2(X,Y,B,XI,YI);
|
---|
1457 | else %no interpolation for a resolution higher than 256
|
---|
1458 | A=B;
|
---|
1459 | end
|
---|
1460 | end
|
---|