%'plot_field': plot any field with the structure defined in the uvmat package %------------------------------------------------------------------------ % % This function is used by uvmat to plot fields. It automatically chooses the representation % appropriate to the input field structure: % 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). % The input field structure is first tested by check_field_structure.m, % then split into blocks of related variables by find_field_cells.m. % The dimensionality of each block is obtained by this function % considering the presence of variables with the attribute .Role='coord_x' % and/or coord_y and/or coord_z (case of unstructured coordinates), or % dimension variables (case of matrices). % % function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam,PosColorbar) % % OUPUT: % PlotType: type of plot: 'text','line'(curve plot),'plane':2D view,'volume', or errormsg % PlotParamOut: structure, representing the updated plotting parameters, in case of automatic scaling % haxes: handle of the plotting axis, when a new figure is created. % %INPUT % Data: structure describing the field to plot % (optional) .ListGlobalAttribute: cell listing the names of the global attributes % .Att_1,Att_2... : values of the global attributes % (requested) .ListVarName: list of variable names to select (cell array of char strings {'VarName1', 'VarName2',...} ) % (requested) .VarDimName: list of dimension names for each element of .ListVarName (cell array of string cells) % .VarAttribute: cell of attributes for each element of .ListVarName (cell array of structures of the form VarAtt.key=value) % (requested) .Var1, .Var2....: variables (Matlab arrays) with names listed in .ListVarName % % Variable attribute .Role : % The only variable attribute used for plotting purpose is .Role which can take % the values % Role = 'scalar': (default) represents a scalar field % = 'coord_x', 'coord_y', 'coord_z': represents a separate set of % unstructured coordinate x, y or z % = 'vector': represents a vector field whose number of components % is given by the last dimension (called 'nb_dim') % = 'vector_x', 'vector_y', 'vector_z' :represents the x, y or z component of a vector % = 'warnflag' : provides a warning flag about the quality of data in a 'Field', default=0, no warning % = 'errorflag': provides an error flag marking false data, % default=0, no error. Different non zero values can represent different criteria of elimination. % % 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. % % PlotParam: structure containing the parameters for plotting, as read on the uvmat or view_field GUI (by function 'read_GUI.m'). % Contains three substructures: % .Axes: coordinate parameters: % .CheckFixLimits:=0 (default) adjust axes limit to the X,Y data, =1: preserves the previous axes limits % .Axes.CheckFixAspectRatio: =0 (default):automatic adjustment of the graph, keep 1 to 1 aspect ratio for x and y scales. % .Axes.AspectRatio: imposed aspect ratio y/x of axis unit plots % --scalars-- % .Scalar.MaxA: upper bound (saturation color) for the scalar representation, max(field) by default % .Scalar.MinA: lower bound (saturation) for the scalar representation, min(field) by default % .Scalar.CheckFixScal: =0 (default) lower and upper bounds of the scalar representation set to the min and max of the field % =1 lower and upper bound imposed by .AMax and .MinA % .Scalar.CheckBW= 1: black and white representation imposed, =0 color imposed (color scale or rgb), % =[]: automatic (B/W for integer positive scalars, color else) % .Scalar.CheckContours= 1: represent scalars by contour plots (Matlab function 'contour'); =0 by default % .IncrA : contour interval % -- vectors-- % .Vectors.VecScale: scale for the vector representation % .Vectors.CheckFixVec: =0 (default) automatic length for vector representation, =1: length set by .VecScale % .Vectors.CheckHideFalse= 0 (default) false vectors represented in magenta, =1: false vectors not represented; % .Vectors.CheckHideWarning= 0 (default) vectors marked by warnflag~=0 marked in black, 1: no warning representation; % .Vectors.CheckDecimate4 = 0 (default) all vectors reprtesented, =1: half of the vectors represented along each coordinate % -- vector color-- % .Vectors.ColorCode= 'black','white': imposed color (default ='blue') % 'rgb', : three colors red, blue, green depending % on thresholds .colcode1 and .colcode2 on the input scalar value (C) % 'brg': like rgb but reversed color order (blue, green, red) % '64 colors': continuous color from blue to red (multijet) % .Vectors.colcode1 : first threshold for rgb, first value for'continuous' % .Vectors.colcode2 : second threshold for rgb, last value (saturation) for 'continuous' % .Vectors.CheckFixedCbounds; =0 (default): the bounds on C representation are min and max, =1: they are fixed by .Minc and .MaxC % .Vectors.MinC = imposed minimum of the scalar field used for vector color; % .Vectors.MaxC = imposed maximum of the scalar field used for vector color; % % PosColorbar: % if absent, no action on colorbar % % if empty, suppress any existing colorbar % % if not empty, display a colorbar for B&W images at position PosColorbar % expressed in figure relative unit (ex [0.821 0.471 0.019 0.445]) %======================================================================= % Copyright 2008-2024, LEGI UMR 5519 / CNRS UGA G-INP, Grenoble, France % http://www.legi.grenoble-inp.fr % Joel.Sommeria - Joel.Sommeria (A) univ-grenoble-alpes.fr % % This file is part of the toolbox UVMAT. % % UVMAT is free software; you can redistribute it and/or modify % it under the terms of the GNU General Public License as published % by the Free Software Foundation; either version 2 of the license, % or (at your option) any later version. % % UVMAT is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License (see LICENSE.txt) for more details. %======================================================================= function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam) %% default input and output if ~exist('PlotParam','var'),PlotParam=[];end PlotType='text'; %default if ~isfield(PlotParam,'Axes') PlotParam.Axes=[]; if isfield(Data,'CoordUnit') PlotParam.Axes.CheckFixAspectRatio=1; PlotParam.Axes.AspectRatio=1; %set axes equal by default if CoordUnit is defined end end PlotParamOut=PlotParam;%default %% check input structure [CellInfo,NbDimArray,errormsg]=find_field_cells(Data); if ~isempty(errormsg) msgbox_uvmat('ERROR',['input of plot_field/find_field_cells: ' errormsg]); return end index_0D=find(NbDimArray==0); index_1D=find(NbDimArray==1); index_2D=find(NbDimArray==2);%find 2D fields index_3D=find(NbDimArray>2,1); if ~isempty(index_3D) msgbox_uvmat('ERROR','volume plot not implemented yet'); return end %% test axes and figure testnewfig=1;%test to create a new figure (default) testzoomaxes=0;%test for the existence of a zoom secondary figure attached to the plotting axes if exist('haxes','var') if ishandle(haxes) if isequal(get(haxes,'Type'),'axes') testnewfig=0; AxeData=get(haxes,'UserData'); if isfield(AxeData,'ZoomAxes')&& ishandle(AxeData.ZoomAxes) if isequal(get(AxeData.ZoomAxes,'Type'),'axes') testzoomaxes=1; zoomaxes=AxeData.ZoomAxes; end end end end end %% create a new figure and axes if the plotting axes does not exist if testnewfig hfig=figure; set(hfig,'Units','normalized') haxes=axes; set(haxes,'position',[0.13,0.2,0.775,0.73]) PlotParamOut.NextPlot='add'; %parameter for plot_profile else hfig=get(haxes,'parent'); set(0,'CurrentFigure',hfig)% the parent of haxes becomes the current figure set(hfig,'CurrentAxes',haxes)% haxes becomes the current axes of the parent figure end %% set axes properties if isfield(PlotParamOut.Axes,'CheckFixLimits') && isequal(PlotParamOut.Axes.CheckFixLimits,1) %adjust the graph limits set(haxes,'XLimMode', 'manual') set(haxes,'YLimMode', 'manual') else set(haxes,'XLimMode', 'auto') set(haxes,'YLimMode', 'auto') end if isfield(PlotParamOut.Axes,'CheckFixAspectRatio') && isequal(PlotParamOut.Axes.CheckFixAspectRatio,1)&&isfield(PlotParamOut.Axes,'AspectRatio') set(haxes,'DataAspectRatioMode','manual') set(haxes,'DataAspectRatio',[PlotParamOut.Axes.AspectRatio 1 1]) else set(haxes,'DataAspectRatioMode','auto')%automatic aspect ratio end errormsg=''; AxeData=get(haxes,'UserData'); %% 2D plots if isempty(index_2D) plot_plane([],[],haxes,[]);%removes images or vector plots in the absence of 2D field plot else %plot 2D field % if ~exist('PosColorbar','var'),PosColorbar=[];end; [tild,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellInfo(index_2D),haxes,PlotParamOut); AxeData.NbDim=2; if testzoomaxes && isempty(errormsg) [zoomaxes,PlotParamOut,tild,errormsg]=plot_plane(Data,CellInfo(index_2D),zoomaxes,PlotParamOut); AxeData.ZoomAxes=zoomaxes; end end %% 1D plot (usual graph y vs x) if isempty(index_1D)|| ~isempty(index_2D) if ~isempty(haxes) plot_profile([],[],haxes);%removes usual praphs y vs x in the absence of 1D field plot end else %plot 1D field (usual graph y vs x) CheckHold=0; if isfield(PlotParam,'CheckHold') CheckHold= PlotParam.CheckHold; end PlotParamOut=plot_profile(Data,CellInfo(index_1D),haxes,PlotParamOut,CheckHold);% if isempty(index_2D) if isfield(PlotParamOut,'Vectors') PlotParamOut=rmfield(PlotParamOut,'Vectors'); end if isfield(PlotParamOut,'Scalar') PlotParamOut=rmfield(PlotParamOut,'Scalar'); end end if testzoomaxes [zoomaxes,PlotParamOut.Axes]=plot_profile(Data,CellInfo(index_1D),zoomaxes,PlotParamOut.Axes,CheckHold); AxeData.ZoomAxes=zoomaxes; end PlotType='line'; end %% aspect ratio AspectRatio=get(haxes,'DataAspectRatio'); PlotParamOut.Axes.AspectRatio=AspectRatio(1)/AspectRatio(2); %% text display if ~(isfield(PlotParamOut,'Axes')&&isfield(PlotParamOut.Axes,'TextDisplay')&&(PlotParamOut.Axes.TextDisplay)) % if text is not already given as statistics htext=findobj(hfig,'Tag','TableDisplay'); if ~isempty(htext)%&&~isempty(hchecktable) if isempty(index_0D) else errormsg=plot_text(Data,CellInfo(index_0D),htext); set(htext,'visible','on') end set(hfig,'Unit','pixels'); set(htext,'Unit','pixels') PosFig=get(hfig,'Position'); % case of no plot with view_field: only text display if strcmp(get(hfig,'Tag'),'view_field') if isempty(index_1D) && isempty(index_2D)% case of no plot: only text display set(haxes,'Visible','off') PosTable=get(htext,'Position'); set(hfig,'Position',[PosFig(1) PosFig(2) PosTable(3) PosTable(4)]) else set(haxes,'Visible','on') set(hfig,'Position',[PosFig(1) PosFig(2) 877 677])%default size for view_field end end end end %% display error message if ~isempty(errormsg) PlotType=errormsg; msgbox_uvmat('ERROR', errormsg) end %% update the parameters stored in AxeData if ishandle(haxes)&&( ~isempty(index_2D)|| ~isempty(index_1D)) if isfield(PlotParamOut,'MinX') AxeData.RangeX=[PlotParamOut.MinX PlotParamOut.MaxX]; AxeData.RangeY=[PlotParamOut.MinY PlotParamOut.MaxY]; end set(haxes,'UserData',AxeData) end %% update the plotted field stored in parent figure if ~isempty(index_2D)|| ~isempty(index_1D) FigData=get(hfig,'UserData'); if strcmp(get(hfig,'tag'),'view_field')||strcmp(get(hfig,'tag'),'uvmat') if ~isempty(get(haxes,'tag')) FigData.(get(haxes,'tag'))=Data; end set(hfig,'UserData',FigData) end end %------------------------------------------------------------------- % --- plot 0D fields: display data values without plot %------------------------------------------------------------------ function errormsg=plot_text(FieldData,CellInfo,htext) errormsg=''; txt_cell={}; Data={}; VarIndex=[]; for icell=1:length(CellInfo) % select types of variables to be projected ListProj={'VarIndex_scalar','VarIndex_image','VarIndex_color','VarIndex_vector_x','VarIndex_vector_y'}; check_proj=false(size(FieldData.ListVarName)); for ilist=1:numel(ListProj) if isfield(CellInfo{icell},ListProj{ilist}) check_proj(CellInfo{icell}.(ListProj{ilist}))=1; end end VarIndex=[VarIndex find(check_proj)]; end % data need to be displayed in a table % if strcmp(get(htext,'Type'),'uitable')% display data in a table % VarNameCell=cell(1,numel(VarIndex));% prepare list of variable names to display (titles of columns) % VarLength=zeros(1,numel(VarIndex)); % default number of values for each variable % for ivar=1:numel(VarIndex) % VarNameCell{ivar}=FieldData.ListVarName{VarIndex(ivar)}; % VarLength(ivar)=numel(FieldData.(VarNameCell{ivar})); % end % set(htext,'ColumnName',VarNameCell) % Data=cell(max(VarLength),numel(VarIndex));% prepare the table of data display % % for ivar=1:numel(VarIndex) % VarValue=FieldData.(VarNameCell{ivar}); % VarValue=reshape(VarValue,[],1);% reshape values array in a column % Data(1:numel(VarValue),ivar)=num2cell(VarValue); % end % set(htext,'Data',Data) % end % if numel(VarValue)>1 && numel(VarValue)<10 % case of a variable with several values % for ind=1:numel(VarValue) % VarNameCell{1,ind}=[VarName '_' num2str(ind)];% indicate each value by an index % end % else % VarNameCell={VarName}; % end % if numel(VarValue)<10 % if isempty(VarValue) % VarValueCell={'[]'}; % else % VarValueCell=num2cell(VarValue); % end % if isempty(Data) % Data =[VarNameCell VarValueCell]; % else % Data =[Data [VarNameCell VarValueCell]]; % end % else % if isempty(Data) % Data =[VarNameCell; num2cell(VarValue)]; % else % Data =[Data [VarNameCell; {['size ' num2str(size(VarValue))]}]]; % end % end % if size(VarValue,1)==1 % txt=[VarName '=' num2str(VarValue)]; % txt_cell=[txt_cell;{txt}]; % end % end % end % if strcmp(get(htext,'Type'),'uitable')% display data in a table % % % set(htext,'Data',Data(2:end,:)) % else % display in a text edit box % set(htext,'String',txt_cell) % set(htext,'UserData',txt_cell)% for temporary storage when the edit box is used for mouse display % end %------------------------------------------------------------------- % --- plot 1D fields (usual x,y plots) %------------------------------------------------------------------- %INPUT % Data: structure describing the field to plot % (optional) .ListGlobalAttribute: cell listing the names of the global attributes % .Att_1,Att_2... : values of the global attributes % (requested) .ListVarName: list of variable names to select (cell array of char strings {'VarName1', 'VarName2',...} ) % (requested) .VarDimName: list of dimension names for each element of .ListVarName (cell array of string cells) % .VarAttribute: cell of attributes for each element of .ListVarName (cell array of structures of the form VarAtt.key=value) % (requested) .Var1, .Var2....: variables (Matlab arrays) with names listed in .ListVarName % % Variable attribute .Role : % The only variable attribute used for plotting purpose is .Role which can take % the values: % Role = 'coord_x' or 'histo' to label the x coordinate % ='coord_y' or 'discrete' to label the y coordinate, variables labelled as 'discrete' % will be plotted as isolated points while variables labelled as 'coord_y' will be plotted as continuous lines % other variables will not be taken into account for plot_profile function PlotParamOut=plot_profile(Data,CellInfo,haxes,PlotParam,CheckHold) %% initialization if ~(exist('PlotParam','var')&&~isempty(PlotParam.Axes)) Coordinates=[]; PlotParamOut.Axes=Coordinates; else Coordinates=PlotParam.Axes; PlotParamOut=PlotParam; end hfig=get(haxes,'parent'); legend_str={}; %% suppress existing plot if empty Data if isempty(Data) hplot=findobj(haxes,'tag','plot_line'); if ~isempty(hplot) delete(hplot) end hlegend=findobj(hfig,'tag','legend'); if ~isempty(hlegend) delete(hlegend) end return end %% set the colors of the successive plots (designed to produce rgb for the three components of color images) 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]; set(hfig,'DefaultAxesColorOrder',ColorOrder) if CheckHold set(haxes,'NextPlot','add') else set(haxes,'NextPlot','replace') end %% prepare the string for plot command plotstr='hhh=plot('; xtitle=''; ytitle=''; test_newplot=~CheckHold; MinX=[]; MaxX=[]; MinY_cell=[]; MaxY_cell=[]; testplot=ones(size(Data.ListVarName));%default test for plotted variables %loop on input fields for icell=1:numel(CellInfo) VarIndex=[CellInfo{icell}.YIndex CellInfo{icell}.YIndex_discrete];% indices of the selected variables in the list Data.ListVarName coord_x_index=CellInfo{icell}.XIndex; coord_x_name{icell}=Data.ListVarName{coord_x_index}; coord_x{icell}=Data.(Data.ListVarName{coord_x_index});%coordinate variable set as coord_x if isempty(find(strcmp(coord_x_name{icell},coord_x_name(1:end-1)), 1)) %xtitle not already selected xtitle=[xtitle coord_x_name{icell}]; if isfield(Data,'VarAttribute')&& numel(Data.VarAttribute)>=coord_x_index && isfield(Data.VarAttribute{coord_x_index},'units') xtitle=[xtitle '(' Data.VarAttribute{coord_x_index}.units '), ']; else xtitle=[xtitle ', ']; end end if ~isempty(coord_x{icell}) MinX(icell)=min(coord_x{icell}); MaxX(icell)=max(coord_x{icell}); testplot(coord_x_index)=0; if isfield(CellInfo{icell},'VarIndex_ancillary') testplot(CellInfo{icell}.VarIndex_ancillary)=0; end if isfield(CellInfo{icell},'VarIndex_warnflag') testplot(CellInfo{icell}.VarIndex_warnflag)=0; end if isfield(Data,'VarAttribute') VarAttribute=Data.VarAttribute; for ivar=1:length(VarIndex) if length(VarAttribute)>=VarIndex(ivar) && isfield(VarAttribute{VarIndex(ivar)},'long_name') plotname{VarIndex(ivar)}=VarAttribute{VarIndex(ivar)}.long_name; else plotname{VarIndex(ivar)}=Data.ListVarName{VarIndex(ivar)};%name for display in plot A METTRE end end end if isfield(CellInfo{icell},'YIndex_discrete')&& ~isempty(CellInfo{icell}.YIndex_discrete) charplot_0='''+'''; else charplot_0='''-'''; end MinY=[]; MaxY=[];%default nbplot=0; for ivar=1:length(VarIndex) if testplot(VarIndex(ivar)) VarName=Data.ListVarName{VarIndex(ivar)}; nbplot=nbplot+1; ytitle=[ytitle VarName]; if isfield(Data,'VarAttribute')&& numel(Data.VarAttribute)>=VarIndex(ivar) && isfield(Data.VarAttribute{VarIndex(ivar)},'units') ytitle=[ytitle '(' Data.VarAttribute{VarIndex(ivar)}.units '), ']; else ytitle=[ytitle ', ']; end eval(['Data.' VarName '=squeeze(Data.' VarName ');']) MinY(ivar)=min(min(Data.(VarName))); MaxY(ivar)=max(max(Data.(VarName))); plotstr=[plotstr 'coord_x{' num2str(icell) '},Data.' VarName ',' charplot_0 ',']; eval(['nbcomponent2=size(Data.' VarName ',2);']); eval(['nbcomponent1=size(Data.' VarName ',1);']); if numel(coord_x{icell})==2 coord_x{icell}=linspace(coord_x{icell}(1),coord_x{icell}(2),nbcomponent1); end if nbcomponent1==1|| nbcomponent2==1 legend_str=[legend_str {VarName}]; %variable with one component else %variable with severals components for ic=1:min(nbcomponent1,nbcomponent2) legend_str=[legend_str [VarName '_' num2str(ic)]]; %variable with severals components end % labeled by their index (e.g. color component) end end end if ~isempty(MinY) MinY_cell(icell)=min(MinY); MaxY_cell(icell)=max(MaxY); end end end %% activate the plot if ~isequal(plotstr,'hhh=plot(') set(hfig,'CurrentAxes',haxes) tag=get(haxes,'tag'); %%% plotstr=[plotstr '''tag'',''plot_line'');']; eval(plotstr) %execute plot (instruction plotstr) %%% set(haxes,'tag',tag)% restitute the axes tag (removed by the command plot) set(haxes,'ColorOrder',ColorOrder)% restitute the plot color order (to get red green blue for histograms or cuts of color images) grid(haxes, 'on') hxlabel=xlabel(xtitle(1:end-2));% xlabel (removes ', ' at the end) set(hxlabel,'Interpreter','none')% desable tex interpreter if length(legend_str)>=1 hylabel=ylabel(ytitle(1:end-2));% ylabel (removes ', ' at the end) set(hylabel,'Interpreter','none')% desable tex interpreter end if ~isempty(legend_str) hlegend=findobj(hfig,'Tag','legend'); if isempty(hlegend) hlegend=legend(legend_str); txt=ver('MATLAB'); Release=txt.Release; relnumb=str2double(Release(3:4));% should be changed to Version for better compatibility if relnumb >= 14 set(hlegend,'Interpreter','none')% desable tex interpreter end else legend_old=get(hlegend,'String'); if isequal(size(legend_old,1),size(legend_str,1))&&~isequal(legend_old,legend_str) set(hlegend,'String',[legend_old legend_str]); end end end title_str=''; if isfield(Data,'filename') [Path, title_str, ext]=fileparts(Data.filename); title_str=[title_str ext]; end if isfield(Data,'Action')&&isfield(Data.Action,'ActionName') if ~isequal(title_str,'') title_str=[title_str ', ']; end title_str=[title_str Data.Action.ActionName]; end htitle=title(title_str); set(htitle,'Interpreter','none')% desable tex interpreter end %% determine axes bounds fix_lim=isfield(Coordinates,'CheckFixLimits') && Coordinates.CheckFixLimits; check_lim=isfield(Coordinates,'MinX')&&isfield(Coordinates,'MaxX')&&isfield(Coordinates,'MinY')&&isfield(Coordinates,'MaxY'); if fix_lim if ~check_lim fix_lim=0; %free limits if limits are not set, end end if fix_lim set(haxes,'XLim',[Coordinates.MinX Coordinates.MaxX]) set(haxes,'YLim',[Coordinates.MinY Coordinates.MaxY]) else if ~isempty(MinX) if check_lim Coordinates.MinX=min(min(MinX),Coordinates.MinX); Coordinates.MaxX=max(max(MaxX),Coordinates.MaxX); else Coordinates.MinX=min(MinX); Coordinates.MaxX=max(MaxX); end end if ~isempty(MinY_cell) if check_lim Coordinates.MinY=min(min(MinY_cell),Coordinates.MinY); Coordinates.MaxY=max(max(MaxY_cell),Coordinates.MaxY); else Coordinates.MinY=min(MinY_cell); Coordinates.MaxY=max(MaxY_cell); end end end %% determine plot aspect ratio if isfield(Coordinates,'CheckFixAspectRatio') && isequal(Coordinates.CheckFixAspectRatio,1)&&isfield(Coordinates,'AspectRatio') set(haxes,'DataAspectRatioMode','manual') set(haxes,'DataAspectRatio',[Coordinates.AspectRatio 1 1]) else set(haxes,'DataAspectRatioMode','auto')%automatic aspect ratio AspectRatio=get(haxes,'DataAspectRatio'); Coordinates.AspectRatio=AspectRatio(1)/AspectRatio(2); end PlotParamOut.Axes= Coordinates; %% give statistics for pdf %ind_var=find(testplot); TableData={'Variable';'SampleNbr';'bin size';'Mean';'RMS';'Skewness';'Kurtosis';... 'Min';'FirstCentile';'FirstDecile';'Median';'LastDecile';'LastCentile';'Max'}; TextDisplay=0; for icell=1:numel(CellInfo) if isfield(CellInfo{icell},'VarIndex_histo')% case of histogram plot TextDisplay=1; VarName=Data.ListVarName{CellInfo{icell}.CoordIndex}; pdf_val=Data.(Data.ListVarName{CellInfo{icell}.VarIndex_histo}); x=coord_x{icell}; if isrow(x) x=x'; end if ~isequal(size(x,1),size(pdf_val,1)) pdf_val=pdf_val'; end Val=pdf2stat(x,pdf_val); Column=mat2cell(Val,ones(13,1),ones(1,size(Val,2))); if size(Val,2)==1%single component TitleBar={VarName}; else TitleBar=cell(1,size(Val,2)); for icomp=1:size(Val,2) TitleBar{icomp}=[VarName '_' num2str(icomp)]; end end Column=[TitleBar;Column]; TableData=[TableData Column]; end end if TextDisplay disp(TableData); PlotParamOut.TableDisplay=TableData; else if isfield(PlotParamOut,'TableDisplay') PlotParamOut=rmfield(PlotParamOut,'TableDisplay'); end end %------------------------------------------------------------------- function [haxes,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellInfo,haxes,PlotParam) %------------------------------------------------------------------- PlotType='plane'; grid(haxes, 'off')% remove grid (possibly remaining from other graphs) %default plotting parameters if ~isfield(PlotParam,'Scalar') PlotParam.Scalar=[]; end if ~isfield(PlotParam,'Vectors') PlotParam.Vectors=[]; end PlotParamOut=PlotParam;%default errormsg='';%default hfig=get(haxes,'parent');%handle of the figure containing the plot axes PosColorbar=[]; FigData=get(hfig,'UserData'); if isfield(FigData,'PosColorbar') PosColorbar=FigData.PosColorbar; end hcol=findobj(hfig,'Tag','Colorbar'); %look for colorbar axes hima=findobj(haxes,'Tag','ima');% search existing image in the current axes test_ima=0; %default: test for image or map plot test_vec=0; %default: test for vector plots test_black=0; test_false=0; test_C=0; XName=''; x_units=''; YName=''; y_units=''; % loop on the input field cells for icell=1:numel(CellInfo) if strcmp(CellInfo{icell}.CoordType,'tps') %do not plot directly tps data (used for projection only) continue end ivar_X=CellInfo{icell}.CoordIndex(end); % defines (unique) index for the variable representing unstructured x coordinate (default =[]) ivar_Y=CellInfo{icell}.CoordIndex(end-1); % defines (unique)index for the variable representing unstructured y coordinate (default =[]) ivar_C=[]; if isfield(CellInfo{icell},'VarIndex_scalar') ivar_C=[ivar_C CellInfo{icell}.VarIndex_scalar]; end if isfield(CellInfo{icell},'VarIndex_image') ivar_C=[ivar_C CellInfo{icell}.VarIndex_image]; end if isfield(CellInfo{icell},'VarIndex_color') ivar_C=[ivar_C CellInfo{icell}.VarIndex_color]; end if isfield(CellInfo{icell},'VarIndex_ancillary') ivar_C=[ivar_C CellInfo{icell}.VarIndex_ancillary]; end if numel(ivar_C)>1 errormsg= 'error in plot_field: too many scalar inputs'; return end ivar_F=[]; if isfield(CellInfo{icell},'VarIndex_warnflag') ivar_F=CellInfo{icell}.VarIndex_warnflag; %defines index (unique) for warning flag variable end ivar_FF_vec=[]; if isfield(CellInfo{icell},'VarIndex_vector_x')&&isfield(CellInfo{icell},'VarIndex_vector_y') % vector components detected if test_vec% a vector field has been already detected 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'; return else if numel(CellInfo{icell}.VarIndex_vector_x)>1 errormsg='error in plot_field: attempt to plot two vector fields'; return end test_vec=1; if isfield(CellInfo{icell},'VarIndex_errorflag') ivar_FF_vec=CellInfo{icell}.VarIndex_errorflag; %defines index (unique) for error flag variable end vec_U=Data.(Data.ListVarName{CellInfo{icell}.VarIndex_vector_x}); vec_V=Data.(Data.ListVarName{CellInfo{icell}.VarIndex_vector_y}); XName=Data.ListVarName{CellInfo{icell}.CoordIndex(end)}; YName=Data.ListVarName{CellInfo{icell}.CoordIndex(end-1)}; if strcmp(CellInfo{icell}.CoordType,'scattered')%2D field with unstructured coordinates vec_X=reshape(Data.(XName),[],1); %transform vectors in column matlab vectors vec_Y=reshape(Data.(YName),[],1); elseif strcmp(CellInfo{icell}.CoordType,'grid')%2D field with structured coordinates y=Data.(YName); x=Data.(XName); if numel(y)==2 % y defined by first and last values on aregular mesh y=linspace(y(1),y(2),size(vec_U,1)); end if numel(x)==2 % y defined by first and last values on aregular mesh x=linspace(x(1),x(2),size(vec_U,2)); end [vec_X,vec_Y]=meshgrid(x,y); end if isfield(PlotParam.Vectors,'ColorScalar') && ~isempty(PlotParam.Vectors.ColorScalar) [VarVal,ListVarName,VarAttribute,errormsg]=calc_field_interp([],Data,PlotParam.Vectors.ColorScalar); if ~isempty(VarVal) vec_C=reshape(VarVal{1},1,numel(VarVal{1})); test_C=1; end end if ~isempty(ivar_FF_vec) %&& ~test_false vec_FF=Data.(Data.ListVarName{ivar_FF_vec}); % flags for false vectors if ~isempty(ivar_F)%~(isfield(PlotParam.Vectors,'HideWarning')&& isequal(PlotParam.Vectors.HideWarning,1)) vec_F=Data.(Data.ListVarName{ivar_F}); % warning flags for dubious vectors vec_FF(find(vec_F==-2))=1;%set alseFlag to 1(edge of the search box) end end end elseif ~isempty(ivar_C) %scalar or image if test_ima errormsg='attempt to plot two scalar fields or images'; return end A=squeeze(Data.(Data.ListVarName{ivar_C}));% scalar represented as color image test_ima=1; if strcmp(CellInfo{icell}.CoordType,'scattered')%2D field with unstructured coordinates A=reshape(A,1,[]); XName=Data.ListVarName{ivar_X}; YName=Data.ListVarName{ivar_Y}; Coord_x=reshape(Data.(XName),1,[]); Coord_y=reshape(Data.(YName),1,[]); [A,Coord_x,Coord_y]=proj_grid(Coord_x',Coord_y',A',[],[],'np>256'); % interpolate on a grid if isfield(Data,'VarAttribute') if numel(Data.VarAttribute)>=ivar_X && isfield(Data.VarAttribute{ivar_X},'units') x_units=[' (' Data.VarAttribute{ivar_X}.units ')']; end if numel(Data.VarAttribute)>=ivar_Y && isfield(Data.VarAttribute{ivar_Y},'units') y_units=[' (' Data.VarAttribute{ivar_Y}.units ')']; end end elseif strcmp(CellInfo{icell}.CoordType,'grid')%2D field with structured coordinates YName=Data.ListVarName{CellInfo{icell}.CoordIndex(end-1)}; XName=Data.ListVarName{CellInfo{icell}.CoordIndex(end)}; Coord_y=Data.(YName); Coord_x=Data.(XName); test_interp_X=0; %default, regularly meshed X coordinate test_interp_Y=0; %default, regularly meshed Y coordinate % if isfield(Data,'VarAttribute') % if numel(Data.VarAttribute)>=CellInfo{icell}.CoordIndex(end) && isfield(Data.VarAttribute{CellInfo{icell}.CoordIndex(end)},'units') % x_units=Data.VarAttribute{CellInfo{icell}.CoordIndex(end)}.units; % end % if numel(Data.VarAttribute)>=CellInfo{icell}.CoordIndex(end-1) && isfield(Data.VarAttribute{CellInfo{icell}.CoordIndex(end-1)},'units') % y_units=Data.VarAttribute{CellInfo{icell}.CoordIndex(end-1)}.units; % end % end if numel(Coord_y)>2 DCoord_y=diff(Coord_y); DCoord_y_min=min(DCoord_y); DCoord_y_max=max(DCoord_y); if sign(DCoord_y_min)~=sign(DCoord_y_max);% =1 for increasing values, 0 otherwise errormsg=['errror in plot_field.m: non monotonic dimension variable ' YName ]; return end test_interp_Y=(DCoord_y_max-DCoord_y_min)> 0.0001*abs(DCoord_y_max); end if numel(Coord_x)>2 DCoord_x=diff(Coord_x); DCoord_x_min=min(DCoord_x); DCoord_x_max=max(DCoord_x); if sign(DCoord_x_min)~=sign(DCoord_x_max)% =1 for increasing values, 0 otherwise errormsg=['errror in plot_field.m: non monotonic dimension variable ' Data.ListVarName{VarRole.coord(2)} ]; return end test_interp_X=(DCoord_x_max-DCoord_x_min)> 0.0001*abs(DCoord_x_max); end if test_interp_Y npxy(1)=max([256 floor((Coord_y(end)-Coord_y(1))/DCoord_y_min) floor((Coord_y(end)-Coord_y(1))/DCoord_y_max)]); yI=linspace(Coord_y(1),Coord_y(end),npxy(1)); if ~test_interp_X xI=linspace(Coord_x(1),Coord_x(end),size(A,2));%default Coord_x=xI; end end if test_interp_X npxy(2)=max([256 floor((Coord_x(end)-Coord_x(1))/DCoord_x_min) floor((Coord_x(end)-Coord_x(1))/DCoord_x_max)]); xI=linspace(Coord_x(1),Coord_x(end),npxy(2)); if ~test_interp_Y yI=linspace(Coord_y(1),Coord_y(end),size(A,1)); Coord_y=yI; end end if test_interp_X || test_interp_Y [Coord_x2D,Coord_y2D]=meshgrid(Coord_x,Coord_y); A=interp2(Coord_x2D,Coord_y2D,double(A),xI,yI'); end Coord_x=[Coord_x(1) Coord_x(end)];% keep only the lower and upper bounds for image represnetation Coord_y=[Coord_y(1) Coord_y(end)]; end end %define coordinates as CoordUnits, if not defined as attribute for each variable % if isfield(Data,'VarAttribute')&& numel(Data.VarAttribute)>=1 && isfield(Data.VarAttribute{1},'unit') % y_units=Data.VarAttribute{1}.unit; % end if isfield(Data,'CoordUnit') if isempty(x_units) x_units=Data.CoordUnit; end if isempty(y_units) y_units=Data.CoordUnit; end elseif isfield(Data,'VarAttribute') if numel(Data.VarAttribute)>=CellInfo{icell}.CoordIndex(end) && isfield(Data.VarAttribute{CellInfo{icell}.CoordIndex(end)},'units') x_units=Data.VarAttribute{CellInfo{icell}.CoordIndex(end)}.units; end if numel(Data.VarAttribute)>=CellInfo{icell}.CoordIndex(end-1) && isfield(Data.VarAttribute{CellInfo{icell}.CoordIndex(end-1)},'units') y_units=Data.VarAttribute{CellInfo{icell}.CoordIndex(end-1)}.units; end end end PlotParamOut=PlotParam; % output plot parameters equal to input by default %% image or scalar plot %%%%%%%%%%%%%%%%%%%%%%%%%% if test_ima % distinguish B/W and color images np=size(A);%size of image siz=numel(np); if siz>3 errormsg=['unrecognized scalar type: ' num2str(siz) ' dimensions']; return end if siz==3 if np(3)==1 siz=2;%grey scale image elseif np(3)==3 siz=3;%color image else errormsg=['unrecognized scalar type in plot_field: considered as 2D field with ' num2str(np(3)) ' color components']; return end end %set for grey scale setting ColorMap='default';%default colormap if isfield(PlotParam.Scalar,'CheckBW') && ~isempty(PlotParam.Scalar.CheckBW) ColorMap=PlotParam.Scalar.CheckBW; %BW=0 color imposed, else gray scale imposed. elseif ((siz==2) && (isa(A,'uint8')|| isa(A,'uint16')))% non color images represented in gray scale by default ColorMap='grayscale'; end PlotParamOut.Scalar.CheckBW=ColorMap; % determine the plot option 'image' or 'contours' CheckContour=0; %default if isfield(PlotParam.Scalar,'ListContour') CheckContour=strcmp(PlotParam.Scalar.ListContour,'contours');% =1 for contour plot option end %case of grey level images or contour plot if ~isfield(PlotParam.Scalar,'CheckFixScalar') PlotParam.Scalar.CheckFixScalar=0;% free scalar threshold value scale (from min to max) by default end if ~isfield(PlotParam.Scalar,'MinA') PlotParam.Scalar.MinA=[];%no min scalar threshold value set end if ~isfield(PlotParam.Scalar,'MaxA') PlotParam.Scalar.MaxA=[];%no max scalar threshold value set end % determine the min scalar value if PlotParam.Scalar.CheckFixScalar && ~isempty(PlotParam.Scalar.MinA) && isnumeric(PlotParam.Scalar.MinA) MinA=double(PlotParam.Scalar.MinA); % min value set as input else MinA=double(min(min(min(A)))); % min value set as min of non NaN scalar values end % error if the input scalar is NaN everywhere if isnan(MinA) errormsg='NaN input scalar or image in plot_field'; return end % determine the max scalar value CheckFixScalar=0; if PlotParam.Scalar.CheckFixScalar && ~isempty(PlotParam.Scalar.MaxA) && isnumeric(PlotParam.Scalar.MaxA) MaxA=double(PlotParam.Scalar.MaxA); % max value set as input CheckFixScalar=1; else MaxA=double(max(max(max(A)))); % max value set as min of non NaN scalar values end PlotParamOut.Scalar.MinA=MinA; PlotParamOut.Scalar.MaxA=MaxA; PlotParamOut.Scalar.Npx=size(A,2); PlotParamOut.Scalar.Npy=size(A,1); % case of contour plot if CheckContour if ~isempty(hima) && ishandle(hima) delete(hima) % delete existing image end % set the contour values if ~isfield(PlotParam.Scalar,'IncrA') PlotParam.Scalar.IncrA=[];% automatic contour interval end if ~isempty(PlotParam.Scalar.IncrA) && isnumeric(PlotParam.Scalar.IncrA) interval=PlotParam.Scalar.IncrA; else % automatic contour interval cont=colbartick(MinA,MaxA); interval=cont(2)-cont(1);%default PlotParamOut.Scalar.IncrA=interval;% set the interval as output for display on the GUI end abscontmin=interval*floor(MinA/interval); abscontmax=interval*ceil(MaxA/interval); contmin=interval*floor(min(min(A))/interval); contmax=interval*ceil(max(max(A))/interval); cont_pos_plus=0:interval:contmax;% zero and positive contour values (plotted as solid lines) cont_pos_min=double(contmin):interval:-interval;% negative contour values (plotted as dashed lines) cont_pos=[cont_pos_min cont_pos_plus];% set of all contour values sizpx=(Coord_x(end)-Coord_x(1))/(np(2)-1); sizpy=(Coord_y(1)-Coord_y(end))/(np(1)-1); x_cont=Coord_x(1):sizpx:Coord_x(end); % pixel x coordinates for image display y_cont=Coord_y(1):-sizpy:Coord_y(end); % pixel x coordinates for image display tag_axes=get(haxes,'Tag');% axes tag Opacity=1; if isfield(PlotParam.Scalar,'Opacity')&&~isempty(PlotParam.Scalar.Opacity) Opacity=PlotParam.Scalar.Opacity; end % fill the space between contours if opacity is undefined or =1 if isequal(Opacity,1) [var,hcontour]=contour(haxes,x_cont,y_cont,A,cont_pos);% determine all contours set(hcontour,'Fill','on')% fill the space between contours set(hcontour,'LineStyle','none') hold on end [var_p,hcontour_p]=contour(haxes,x_cont,y_cont,A,cont_pos_plus,'k-');% draw the contours for positive values as solid lines hold on [var_m,hcontour_m]=contour(haxes,x_cont,y_cont,A,cont_pos_min,'--');% draw the contours for negative values as dashed lines if isequal(Opacity,1) set(hcontour_m,'LineColor',[1 1 1])% draw negative contours in white (better visibility in dark background) end set(haxes,'Tag',tag_axes);% restore axes tag (removed by the matlab fct contour !) hold off %determine the color scale and map caxis([abscontmin abscontmax]) if strcmp(ColorMap,'grayscale') vec=linspace(0,1,(abscontmax-abscontmin)/interval);%define a greyscale colormap with steps interval map=[vec' vec' vec']; colormap(map); elseif strcmp(ColorMap,'BuYlRd') hh=load('BuYlRd.mat'); colormap(hh.BuYlRd); else colormap(ColorMap); end else %usual images (no contour) % set colormap for image display switch ColorMap case 'grayscale' vec=linspace(0,1,255);%define a linear greyscale colormap map=[vec' vec' vec']; colormap(map); %grey scale color map if siz==3% true color images visualized in BW A=uint16(sum(A,3));%sum the three color components for color images displayed with BW option end case 'BuYlRd' hh=load('BuYlRd.mat'); colormap(hh.BuYlRd); case 'truecolor' if siz==3 && CheckFixScalar % true color images rescaled by MaxA A=uint8(255*double(A)/double(MaxA)); end otherwise colormap(ColorMap); end % interpolate field to increase resolution of image display test_interp=0; if size(A,3)==1 % scalar or B/W image test_interp=1; if max(np) <= 64 npxy=8*np;% increase the resolution 8 times elseif max(np) <= 128 npxy=4*np;% increase the resolution 4 times elseif max(np) <= 256 npxy=2*np;% increase the resolution 2 times else npxy=np; test_interp=0; % no interpolation done end end if test_interp%if we interpolate x=linspace(Coord_x(1),Coord_x(2),np(2)); y=linspace(Coord_y(1),Coord_y(2),np(1)); [X,Y]=meshgrid(x,y); xi=linspace(Coord_x(1),Coord_x(2),npxy(2)); yi=linspace(Coord_y(1),Coord_y(2),npxy(1)); A = interp2(X,Y,double(A),xi,yi'); end % create new image if no image handle is found if isempty(hima) tag=get(haxes,'Tag'); if MinAMinA if CheckContour colbarlim=get(hcol,'YLim'); scale_bar=(colbarlim(2)-colbarlim(1))/(abscontmax-abscontmin); YTick=cont_pos(2:end-1); YTick_scaled=colbarlim(1)+scale_bar*(YTick-abscontmin); set(hcol,'YTick',YTick_scaled); elseif (isfield(PlotParam.Scalar,'CheckBW') && isequal(PlotParam.Scalar.CheckBW,1))||isa(A,'uint8')|| isa(A,'uint16')%images hi=get(hcol,'children'); if iscell(hi)%multiple images in colorbar hi=hi{1}; end set(hi,'YData',[MinA MaxA]) set(hi,'CData',(1:256)') set(hcol,'YLim',[MinA MaxA]) YTick=colbartick(MinA,MaxA); set(hcol,'YTick',YTick) else hi=get(hcol,'children'); if iscell(hi)%multiple images in colorbar hi=hi{1}; end set(hi,'YData',[MinA MaxA]) set(hi,'CData',(1:64)') YTick=colbartick(MinA,MaxA); set(hcol,'YLim',[MinA MaxA]) set(hcol,'YTick',YTick) end set(hcol,'Yticklabel',num2str(YTick')); end elseif ishandle(hcol) delete(hcol); %erase existing colorbar if not needed end end else%no scalar plot if ~isempty(hima) && ishandle(hima) delete(hima) end if ~isempty(PosColorbar) && ~isempty(hcol)&& ishandle(hcol) delete(hcol) end PlotParamOut=rmfield(PlotParamOut,'Scalar'); end %% vector plot %%%%%%%%%%%%%%%%%%%%%%%%%% if test_vec %vector scale representation if size(vec_U,1)==numel(vec_Y) && size(vec_U,2)==numel(vec_X) % x, y coordinate variables [vec_X,vec_Y]=meshgrid(vec_X,vec_Y); end vec_X=reshape(vec_X,1,numel(vec_X));%reshape in matlab vectors vec_Y=reshape(vec_Y,1,numel(vec_Y)); vec_U=reshape(vec_U,1,numel(vec_U)); vec_V=reshape(vec_V,1,numel(vec_V)); MinMaxX=max(vec_X)-min(vec_X); if isfield(PlotParam.Vectors,'CheckFixVectors') && isequal(PlotParam.Vectors.CheckFixVectors,1)&& isfield(PlotParam.Vectors,'VecScale')... &&~isempty(PlotParam.Vectors.VecScale) && isa(PlotParam.Vectors.VecScale,'double') %fixed vector scale scale=PlotParam.Vectors.VecScale; %impose the length of vector representation else if ~test_false %remove false vectors indsel=1:numel(vec_X);% end if isempty(vec_U) scale=1; else if isempty(indsel) MaxU=max(abs(vec_U)); MaxV=max(abs(vec_V)); else MaxU=max(abs(vec_U(indsel))); MaxV=max(abs(vec_V(indsel))); end scale=MinMaxX/(max(MaxU,MaxV)*50); PlotParam.Vectors.VecScale=scale;%update the 'scale' display end end %record vectors on the plotting axes if test_C==0 vec_C=ones(1,numel(vec_X)); end %decimate by a factor 2 in vector mesh(4 in nbre of vectors) check_decimate=0; if isfield(PlotParam.Vectors,'CheckDecimate4') && PlotParam.Vectors.CheckDecimate4 check_decimate=1; diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i) dy_thresh=max(abs(diffy))/2; ind_jump=find(abs(diffy) > dy_thresh); %indices with diff(vec_Y)> max/2, detect change of line ind_sel=1:ind_jump(1);%select the first line for i=2:2:length(ind_jump)-1 ind_sel=[ind_sel (ind_jump(i)+1:ind_jump(i+1))];% select the odd lines end nb_sel=length(ind_sel); ind_sel=ind_sel(1:2:nb_sel);% take half the points on a line elseif isfield(PlotParam.Vectors,'CheckDecimate16') && PlotParam.Vectors.CheckDecimate16 check_decimate=1; diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i) dy_thresh=max(abs(diffy))/2; ind_jump=find(abs(diffy) > dy_thresh); %indices with diff(vec_Y)> max/2, detect change of line ind_sel=1:ind_jump(1);%select the first line for i=2:4:length(ind_jump)-1 ind_sel=[ind_sel (ind_jump(i)+1:ind_jump(i+1))];% select the odd lines end nb_sel=length(ind_sel); ind_sel=ind_sel(1:4:nb_sel);% take half the points on a line end if check_decimate vec_X=vec_X(ind_sel); vec_Y=vec_Y(ind_sel); vec_U=vec_U(ind_sel); vec_V=vec_V(ind_sel); vec_C=vec_C(ind_sel); % if ~isempty(ivar_F) % vec_F=vec_F(ind_sel); % end if ~isempty(ivar_FF_vec) vec_FF=vec_FF(ind_sel); end end %get main level color code [colorlist,col_vec,PlotParamOut.Vectors]=set_col_vec(PlotParam.Vectors,vec_C); % take flags into account: add flag colors to the list of colors nbcolor=size(colorlist,1); % % % if test_black % % % nbcolor=nbcolor+1; % % % colorlist(nbcolor,:)=[0 0 0]; %add black to the list of colors % % % if ~isempty(ivar_FF_vec) % % % col_vec(vec_F~=1 & vec_F~=0 & vec_FF==0)=nbcolor; % % % else % % % col_vec(vec_F~=1 & vec_F~=0)=nbcolor; % % % end % % % end nbcolor=nbcolor+1; if ~isempty(ivar_FF_vec) if isfield(PlotParam.Vectors,'CheckShowFalse') && PlotParam.Vectors.CheckShowFalse==1 colorlist(nbcolor,:)=[1 0 1];% magenta color %colorlist(nbcolor,:)=[0 0 0];% blackcolor if strcmp(PlotParam.Vectors.FalseCriteria,'ALL') col_vec(vec_FF~=0)=nbcolor; else ind_dot=regexp(PlotParam.Vectors.FalseCriteria,':'); FalseValue=str2num(PlotParam.Vectors.FalseCriteria(1:ind_dot-1));%get the selected flg number col_vec(vec_FF==FalseValue)=nbcolor; nbcolor=nbcolor+1; colorlist(nbcolor,:)=[NaN NaN NaN];% col_vec(vec_FF~=0 & vec_FF~=FalseValue)=nbcolor; end else colorlist(nbcolor,:)=[NaN NaN NaN];% no plot of false vectors col_vec(vec_FF~=0)=nbcolor; end end %plot vectors: quiresetn(haxes,vec_X,vec_Y,vec_U,vec_V,scale,colorlist,col_vec); else hvec=findobj(haxes,'Tag','vel'); if ~isempty(hvec) delete(hvec); end PlotParamOut=rmfield(PlotParamOut,'Vectors'); end %store the coordinate extrema occupied by the field if ~isempty(Data) MinX=[]; MaxX=[]; MinY=[]; MaxY=[]; fix_lim=isfield(PlotParam.Axes,'CheckFixLimits') && PlotParam.Axes.CheckFixLimits; if fix_lim if isfield(PlotParam.Axes,'MinX')&&isfield(PlotParam.Axes,'MaxX')&&isfield(PlotParam.Axes,'MinY')&&isfield(PlotParam.Axes,'MaxY') MinX=PlotParam.Axes.MinX; MaxX=PlotParam.Axes.MaxX; MinY=PlotParam.Axes.MinY; MaxY=PlotParam.Axes.MaxY; end %else PlotParamOut.MinX =PlotParam.MinX... else if test_ima %both background image and vectors coexist, take the wider bound MinX=min(Coord_x); MaxX=max(Coord_x); MinY=min(Coord_y); MaxY=max(Coord_y); if test_vec MinX=min(MinX,min(vec_X)); MaxX=max(MaxX,max(vec_X)); MinY=min(MinY,min(vec_Y)); MaxY=max(MaxY,max(vec_Y)); end elseif test_vec MinX=min(vec_X); MaxX=max(vec_X); MinY=min(vec_Y); MaxY=max(vec_Y); end end PlotParamOut.Axes.MinX=MinX; PlotParamOut.Axes.MaxX=MaxX; PlotParamOut.Axes.MinY=MinY; PlotParamOut.Axes.MaxY=MaxY; if MaxX>MinX set(haxes,'XLim',[MinX MaxX]);% set x limits of frame in axes coordinates end if MaxY>MinY set(haxes,'YLim',[MinY MaxY]);% set x limits of frame in axes coordinates end set(haxes,'YDir','normal') set(get(haxes,'XLabel'),'String',[XName ' (' x_units ')']); set(get(haxes,'YLabel'),'String',[YName ' (' y_units ')']); PlotParamOut.Axes.x_units=x_units; PlotParamOut.Axes.y_units=y_units; end %------------------------------------------------------------------- % --- function for plotting vectors %INPUT: % haxes: handles of the plotting axes % x,y,u,v: vectors coordinates and vector components to plot, arrays withb the same dimension % scale: scaling factor for vector length representation % colorlist(icolor,:): list of vector colors, dim (nbcolor,3), depending on color #i % col_vec: matlab vector setting the color number #i for each velocity vector function quiresetn(haxes,x,y,u,v,scale,colorlist,col_vec) %------------------------------------------------------------------- %define arrows theta=0.5 ;%angle arrow alpha=0.3 ;%length arrow rot=alpha*[cos(theta) -sin(theta); sin(theta) cos(theta)]'; %find the existing lines h=findobj(haxes,'Tag','vel');% search existing lines in the current axes sizh=size(h); set(haxes,'NextPlot','replacechildren'); %create lines (if no lines) or modify them if ~isequal(size(col_vec),size(x)) col_vec=ones(size(x));% case of error in col_vec input end nbcolor=size(colorlist,1); for icolor=1:nbcolor %determine the line positions for each color icolor ind=find(col_vec==icolor); xc=x(ind); yc=y(ind); uc=u(ind)*scale; vc=v(ind)*scale; n=size(xc); xN=NaN*ones(size(xc)); matx=[xc(:) xc(:)+uc(:) xN(:)]'; matx=reshape(matx,1,3*n(2)); maty=[yc(:) yc(:)+vc(:) xN(:)]'; maty=reshape(maty,1,3*n(2)); %determine arrow heads arrowplus=rot*[uc;vc]; arrowmoins=rot'*[uc;vc]; % x1=xc+uc/2-arrowplus(1,:); % x2=xc+uc/2; % x3=xc+uc/2-arrowmoins(1,:); % y1=yc+vc/2-arrowplus(2,:); % y2=yc+vc/2; % y3=yc+vc/2-arrowmoins(2,:); x1=xc+uc-arrowplus(1,:); x2=xc+uc; x3=xc+uc-arrowmoins(1,:); y1=yc+vc-arrowplus(2,:); y2=yc+vc; y3=yc+vc-arrowmoins(2,:); matxar=[x1(:) x2(:) x3(:) xN(:)]'; matxar=reshape(matxar,1,4*n(2)); matyar=[y1(:) y2(:) y3(:) xN(:)]'; matyar=reshape(matyar,1,4*n(2)); %draw the line or modify the existing ones % tri=reshape(1:3*length(uc),3,[])'; isn=isnan(colorlist(icolor,:));%test if color NaN if 2*icolor > sizh(1) %if icolor exceeds the number of existing ones if ~isn(1) %if the vectors are visible color not nan if n(2)>0 hold on line(matx,maty,'Color',colorlist(icolor,:),'Tag','vel');% plot new lines line(matxar,matyar,'Color',colorlist(icolor,:),'Tag','vel');% plot arrows end end else if isn(1) delete(h(2*icolor-1)) delete(h(2*icolor)) else set(h(2*icolor-1),'Xdata',matx,'Ydata',maty); set(h(2*icolor-1),'Color',colorlist(icolor,:)); % set(h(2*icolor-1),'EraseMode','xor'); set(h(2*icolor),'Xdata',matxar,'Ydata',matyar); set(h(2*icolor),'Color',colorlist(icolor,:)); %set(h(2*icolor),'EraseMode','xor'); end end end if sizh(1) > 2*nbcolor for icolor=nbcolor+1 : sizh(1)/2 %delete additional objects delete(h(2*icolor-1)) delete(h(2*icolor)) end end %------------------------------------------------------------------- % ---- determine tick positions for colorbar function YTick=colbartick(MinA,MaxA) %------------------------------------------------------------------- %determine tick positions with "simple" values between MinA and MaxA YTick=0;%default maxabs=max([abs(MinA) abs(MaxA)]); if maxabs>0 ord=10^(floor(log10(maxabs)));%order of magnitude div=1; siz2=1; while siz2<2 values=-10:div:10; ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);%indices of 'values' such that MinA0); end siz2=size(ind,2); div=div/10; end YTick=ord*values(ind); end % ------------------------------------------------------------------------- % --- 'proj_grid': project fields with unstructured coordinantes on a regular grid function [A,rangx,rangy]=proj_grid(vec_X,vec_Y,vec_A,rgx_in,rgy_in,npxy_in) % ------------------------------------------------------------------------- if length(vec_Y)<2 msgbox_uvmat('ERROR','less than 2 points in proj_grid.m'); return; end diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i) index=find(diffy);% find the indices of vec_Y after wich a change of horizontal line occurs(diffy non zero) if isempty(index); msgbox_uvmat('ERROR','points aligned along abscissa in proj_grid.m'); return; end;%points aligned% A FAIRE: switch to line plot. diff2=diff(diffy(index));% diff2 = fluctuations of the detected vertical grid mesh dy if max(abs(diff2))>0.001*abs(diffy(index(1))) % if max(diff2) is larger than 1/1000 of the first mesh dy % the data are not regularly spaced and must be interpolated on a regular grid if exist('rgx_in','var') & ~isempty (rgx_in) & isnumeric(rgx_in) & length(rgx_in)==2% positions imposed from input rangx=rgx_in; % first and last positions rangy=rgy_in; dxy(1)=1/(npxy_in(1)-1);%grid mesh in y dxy(2)=1/(npxy_in(2)-1);%grid mesh in x dxy(1)=(rangy(2)-rangy(1))/(npxy_in(1)-1);%grid mesh in y dxy(2)=(rangx(2)-rangx(1))/(npxy_in(2)-1);%grid mesh in x else % interpolation grid automatically determined rangx(1)=min(vec_X); rangx(2)=max(vec_X); rangy(2)=min(vec_Y); rangy(1)=max(vec_Y); dxymod=sqrt((rangx(2)-rangx(1))*(rangy(1)-rangy(2))/length(vec_X)); dxy=[-dxymod/4 dxymod/4];% increase the resolution 4 times end xi=rangx(1):dxy(2):rangx(2); yi=rangy(1):dxy(1):rangy(2); A=griddata(vec_X,vec_Y,vec_A,xi,yi'); A=reshape(A,length(yi),length(xi)); else x=vec_X(1:index(1));% the set of abscissa (obtained on the first line) indexend=index(end);% last vector index of line change ymax=vec_Y(indexend+1);% y coordinate AFTER line change ymin=vec_Y(index(1)); y=vec_Y(index); y(length(y)+1)=ymax; nx=length(x); %number of grid points in x ny=length(y); % number of grid points in y B=(reshape(vec_A,nx,ny))'; %vec_A reshaped as a rectangular matrix [X,Y]=meshgrid(x,y);% positions X and Y also reshaped as matrix %linear interpolation to improve the image resolution and/or adjust %to prescribed positions test_interp=1; if exist('rgx_in','var') & ~isempty (rgx_in) & isnumeric(rgx_in) & length(rgx_in)==2% positions imposed from input rangx=rgx_in; % first and last positions rangy=rgy_in; npxy=npxy_in; else rangx=[vec_X(1) vec_X(nx)];% first and last position found for x rangy=[max(ymax,ymin) min(ymax,ymin)]; if max(nx,ny) <= 64 & isequal(npxy_in,'np>256') npxy=[8*ny 8*nx];% increase the resolution 8 times elseif max(nx,ny) <= 128 & isequal(npxy_in,'np>256') npxy=[4*ny 4*nx];% increase the resolution 4 times elseif max(nx,ny) <= 256 & isequal(npxy_in,'np>256') npxy=[2*ny 2*nx];% increase the resolution 2 times else npxy=[ny nx]; test_interp=0; % no interpolation done end end if test_interp==1%if we interpolate xi=[rangx(1):(rangx(2)-rangx(1))/(npxy(2)-1):rangx(2)]; yi=[rangy(1):(rangy(2)-rangy(1))/(npxy(1)-1):rangy(2)]; [XI,YI]=meshgrid(xi,yi); A = interp2(X,Y,B,XI,YI); else %no interpolation for a resolution higher than 256 A=B; end end