source: trunk/src/plot_field.m @ 174

%'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 fiedlds 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_indices.m.
%  The dimensionality of each block is obtained  by this fuction
%  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,htext,PosColorbar)
%
% OUPUT:
% PlotType: type of plot: 'text','line'(curve plot),'plane':2D view,'volume'
% 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.
%
%
%         additional elements characterizing the projection object (should not be necessary)--
%            Data.Style : style of projection object
%            Data.XObject,.YObject: set of coordinates defining the object position;
%            Data.ProjMode=type of projection ;
%            Data.ProjAngle=angle of projection;
%            Data.DX,.DY,.DZ=increments;
%            Data.MaxY,MinY: min and max Y

%   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: parameters for plotting, as read on the uvmat interface (by function 'read_plot_param.m')
%     .FixedLimits:=0 (default) adjust axes limit to the X,Y data, =1: preserves the previous axes limits
%     .Auto_xy: =0 (default): kepp 1 to 1 aspect ratio for x and y scales, =1: automatic adjustment of the graph
%            --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.AutoScal: =1 (default) lower and upper bounds of the scalar representation set to the min and max of the field
%               =0 lower and upper bound imposed by .AMax and .MinA
%    .Scalar.BW= 1 black and white representation imposed, =0 by default.
%    .Scalar.Contours= 1: represent scalars by contour plots (Matlab function 'contour'); =0 by default
%    .IncrA : contour interval
%            -- vectors--
%    .Vectors.VecScale: scale for the vector representation
%    .Vectors.AutoVec: =0 (default) automatic length for vector representation, =1: length set by .VecScale
%    .Vectors.HideFalse= 0 (default) false vectors represented in magenta, =1: false vectors not represented;
%    .Vectors.HideWarning= 0 (default) vectors marked by warnflag~=0 marked in black, 1: no warning representation;
%    .Vectors.decimate4 = 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.FixedCbounds;  =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 not empty, display a colorbar for B&W images
%               imposed position of the colorbar (ex [0.821 0.471 0.019 0.445])

%AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
%  Copyright Joel Sommeria, 2008, LEGI / CNRS-UJF-INPG, sommeria@coriolis-legi.org.
%AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
%     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 (file UVMAT/COPYING.txt) for more details.
%AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA

function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam,htext,PosColorbar)
% TODO:
% use htext: handles of the text edit box (uicontrol)
% introduce PlotParam.Hold: 'on' or 'off' (for curves)

%default output
if ~exist('PlotParam','var'),PlotParam=[];end;
if ~exist('htext','var'),htext=[];end;
if ~exist('PosColorbar','var'),PosColorbar=[];end;
PlotType='text'; %default
PlotParamOut=PlotParam;%default

% check input structure
[Data,errormsg]=check_field_structure(Data);

if ~isempty(errormsg)
    msgbox_uvmat('ERROR',['input of plot_field/check_field_structure: ' errormsg])
    display(['input of plot_field/check_field_structure:: ' errormsg])
    return
end

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')
%             axes(haxes)
            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
if isfield(PlotParam,'text_display_1') && ishandle(PlotParam.text_display_1)
    PlotParam=read_plot_param(PlotParam);   
end
if testnewfig% create a new figure and axes if the plotting axes does not exist
    hfig=figure;
    if isfield(PlotParam,'text_display_1') && ishandle(PlotParam.text_display_1)
        set(hfig,'UserData',PlotParam)
    end
    set(hfig,'Units','normalized')
    set(hfig,'WindowButtonDownFcn','mouse_down')
    set(hfig,'WindowButtonMotionFcn','mouse_motion')%set mouse action function
    set(hfig,'WindowButtonUpFcn','mouse_up')%set mouse action function
    haxes=axes;
    set(haxes,'position',[0.13,0.2,0.775,0.73])
     PlotParam.NextPlot='add'; %parameter for plot_profile and plot_his
else
    hfig=get(haxes,'parent');
    set(0,'CurrentFigure',hfig)
    set(hfig,'CurrentAxes',haxes)
end

if isfield(PlotParam,'Auto_xy') && isequal(PlotParam.Auto_xy,1) 
    set(haxes,'DataAspectRatioMode','auto')%automatic aspect ratio
end

% check the cells of fields :
% testnbdim=1;
[CellVarIndex,NbDim,VarType,errormsg]=find_field_indices(Data);

if ~isempty(errormsg)
    msgbox_uvmat('ERROR',['input of plot_field/find_field_indices: ' errormsg])
    display(['input of plot_field: ' errormsg])
    return
end
if ~isfield(Data,'NbDim') %& ~isfield(Data,'Style')%determine the space dimensionb if not defined: choose the kind of plot 
    [Data.NbDim]=max(NbDim);
end
errormsg=[];
if isequal(Data.NbDim,0) 
        AxeData=plot_text(Data,htext);
        PlotType='text';
        errormsg=[];
elseif isequal(Data.NbDim,1)
    [AxeData]=plot_profile(Data,CellVarIndex,VarType,haxes,PlotParam);% 
    if testzoomaxes
        [AxeData,zoomaxes,PlotParamOut]=plot_profile(Data,CellVarIndex,VarType,zoomaxes,PlotParam);
        AxeData.ZoomAxes=zoomaxes;
    end
    PlotType='line';
    errormsg=[];
elseif isequal(Data.NbDim,2)
    ind_select=find(NbDim>=2);
    if numel(ind_select)>2
        errormsg='more than two fields to map';
    else
        [AxeData,xx,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellVarIndex(ind_select),VarType(ind_select),haxes,PlotParam,htext,PosColorbar);
        if testzoomaxes && isempty(errormsg)
            [AxeData,zoomaxes,PlotParamOut,xx,errormsg]=plot_plane(Data,CellVarIndex(ind_select),VarType(ind_select),zoomaxes,PlotParam,1,PosColorbar);
            Data.ZoomAxes=zoomaxes;
        end
    end
elseif isequal(Data.NbDim,3)
    errormsg='volume plot not implemented yet';
end
if ~isempty(errormsg)
    msgbox_uvmat('ERROR','volume plot not implemented yet')
    return
end

%display (or delete) error message
htext=findobj(haxes,'Tag','hTxt');
if isfield(Data,'Txt')
    if isempty(htext)
        Xlim=get(haxes,'XLim');
        Ylim=get(haxes,'YLim');
        htext=text(Xlim(1),(Ylim(1)+Ylim(2))/2,Data.Txt,'Tag','hTxt','Color','r');
        set(htext,'Interpreter','none')
    else
        set(htext,'String',Data.Txt)
    end
elseif ~isempty(htext)
    delete(htext)
end

% % set graph aspect ratio
% if isfield(AxeData,'Mesh')
%     Data.Mesh=AxeData.Mesh;
% end

%set(haxes,'UserData',AxeData)
set(haxes,'UserData',Data)
% if ~testnewfig
% %set(0,'Children',hstack);%put back the initial figure stack after plot creation
% 
% end


%-------------------------------------------------------------------
function hdisplay=plot_text(FieldData,hdisplay_in)
%-------------------------------------------------------------------
if exist('hdisplay_in','var') && ~isempty(hdisplay_in) && ishandle(hdisplay_in) && isequal(get(hdisplay_in,'Type'),'uicontrol')
    hdisplay=hdisplay_in;
else
    figure;%create new figure
    hdisplay=uicontrol('Style','edit', 'Units','normalized','Position', [0 0 1 1],'Max',2,'FontName','monospaced');
end
    
ff=fields(FieldData);%list of field names
vv=struct2cell(FieldData);%list of field values

for icell=1:length(vv)
    Tabcell{icell,1}=ff{icell};
    ss=vv{icell};
    sizss=size(ss);
    if isnumeric(ss)
        if sizss(1)<=1 && length(ss)<5
            displ{icell}=num2str(ss);
        else
            displ{icell}=[class(ss) ', size ' num2str(size(ss))];
        end
    elseif ischar(ss)
        displ{icell}=ss;
    elseif iscell(ss)
        sizcell=size(ss);
        if sizcell(1)==1 && length(sizcell)==2 %line cell
           ssline='{''';
           for icolumn=1:sizcell(2)
               if isnumeric(ss{icolumn})
                   if size(ss{icolumn},1)<=1 && length(ss{icolumn})<5
                      sscolumn=num2str(ss{icolumn});%line vector
                   else
                      sscolumn=[class(ss{icolumn}) ', size ' num2str(size(ss{icolumn}))];
                   end
               elseif ischar(ss{icolumn})
                   sscolumn=ss{icolumn};
               else
                   sscolumn=class(ss{icolumn});
               end
               if icolumn==1
                   ssline=[ssline sscolumn];
               else
                   ssline=[ssline ''',''' sscolumn];
               end
           end
           displ{icell}=[ssline '''}'];
        else
           displ{icell}=[class(ss) ', size ' num2str(sizcell)];
        end
    else
        displ{icell}=class(ss);
    end
    Tabcell{icell,2}=displ{icell};
end 
Tabchar=cell2tab(Tabcell,': '); 
set(hdisplay,'String', Tabchar)


%-------------------------------------------------------------------
function [AxeData,haxes]=plot_profile(data,CellVarIndex,VarType,haxes,PlotParam)
%-------------------------------------------------------------------
%TODO: modify existing plot if it exists

hfig=get(haxes,'parent');
AxeData=[];%data;

ColorOrder=[1 0 0;0 0.5 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(haxes,'ColorOrder',ColorOrder)
if isfield(PlotParam,'NextPlot')
    set(haxes,'NextPlot',PlotParam.NextPlot)
end
% adjust the size of the plot to include the whole field,
if isfield(PlotParam,'FixedLimits') && isequal(PlotParam.FixedLimits,1)  %adjust the graph limits*
    set(haxes,'XLimMode', 'manual')
    set(haxes,'YLimMode', 'manual')
else
    set(haxes,'XLimMode', 'auto')
    set(haxes,'YLimMode', 'auto')
end
legend_str={};

%% prepare the string for plot command
%initiate  the plot command
plotstr='hhh=plot(';
textmean={};
coord_x_index=[];
test_newplot=1;
% hh=findobj(haxes,'tag','plot_line');
% num_curve=numel(hh);
% icurve=0;

%loop on input  fields
for icell=1:length(CellVarIndex)
    VarIndex=CellVarIndex{icell};%  indices of the selected variables in the list data.ListVarName
    if ~isempty(VarType{icell}.coord_x)
        coord_x_index=VarType{icell}.coord_x;
    else
        coord_x_index_cell=VarType{icell}.coord(1);
        if isequal(coord_x_index_cell,0)
            continue  % the cell has no abscissa, skip it
        end
        if ~isempty(coord_x_index)&&~isequal(coord_x_index_cell,coord_x_index)
            continue %all the selected variables must have the same first dimension
        else
            coord_x_index=coord_x_index_cell;
        end
    end
    testplot=ones(size(data.ListVarName));%default test for plotted variables
    xtitle=data.ListVarName{coord_x_index};
    eval(['coord_x{icell}=data.' data.ListVarName{coord_x_index} ';']);%coordinate variable set as coord_x
    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 ')'];
    end
    eval(['coord_x{icell}=data.' data.ListVarName{coord_x_index} ';']);%coordinate variable set as coord_x
    testplot(coord_x_index)=0;
    if ~isempty(VarType{icell}.ancillary')
        testplot(VarType{icell}.ancillary)=0;
    end
    if ~isempty(VarType{icell}.warnflag')
        testplot(VarType{icell}.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
    %     test_newplot=0;%default
    %     if num_curve>=icurve+numel(find(testplot(VarIndex)))%update existing curves
    %         if ~isempty(VarType{icell}.discrete')
    %             charplot_0='+';
    %             LineStyle='none';
    %         else
    %             charplot_0='none';
    %             LineStyle='-';
    %         end
    %         for ivar=1:length(VarIndex)
    %             if testplot(VarIndex(ivar))
    %                 icurve=icurve+1;
    %                 VarName=data.ListVarName{VarIndex(ivar)};
    %                 eval(['data.' VarName '=squeeze(data.' VarName ');'])
    %                 set(hh(icurve),'LineStyle',LineStyle)
    %                 set(hh(icurve),'Marker',charplot_0)
    %                 set(hh(icurve),'XData',coord_x{icell})
    %                 eval(['yy=data.' VarName ';'])
    %                 set(hh(icurve),'YData',yy);
    %             end
    %         end
    %     else% new plot
    if ~isempty(VarType{icell}.discrete')
        charplot_0='''+''';
    else
        charplot_0='''-''';
    end
    for ivar=1:length(VarIndex)
        if testplot(VarIndex(ivar))
            VarName=data.ListVarName{VarIndex(ivar)};
            eval(['data.' VarName '=squeeze(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
            eval(['varmean=mean(double(data.' VarName '));']);%mean value
            textmean=[textmean; {[VarName 'mean= ' num2str(varmean,4)]}];
            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
end

%% activate the plot
if test_newplot && ~isequal(plotstr,'hhh=plot(')
    plotstr=[plotstr '''tag'',''plot_line'');'];
                %execute plot (instruction  plotstr)
%     set(hfig,'CurrentAxes',haxes)
%     axes(haxes)% select the plotting axes for plot operation
    eval(plotstr)
   
                %%%%%
    grid(haxes, 'on')
    hxlabel=xlabel(xtitle);
    set(hxlabel,'Interpreter','none')% desable tex interpreter
    if length(legend_str)>=1
        hylabel=ylabel(legend_str{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')
        if ~isequal(title_str,'')
            title_str=[title_str ', '];
        end
        title_str=[title_str data.Action];
    end
    htitle=title(title_str);
    txt=ver('MATLAB');
    Release=txt.Release;
    relnumb=str2double(Release(3:4));
    if relnumb >= 14
        set(htitle,'Interpreter','none')% desable tex interpreter
    end
    % A REPRENDRE Mean
%         hlist=findobj(gcf,'Style','listbox','Tag','liststat');
%         if isempty(hlist)
%             'text'
%             textmean
%             set(gca,'position',[0.13,0.2,0.775,0.73])
%             uicontrol('Style','popupmenu','Position',[20 20 200 20],'String',textmean,'Tag','liststat');
%         else
%             set(hlist(1),'String',textmean)
%         end
end


%-------------------------------------------------------------------
function [AxeData,haxes,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellVarIndex,VarTypeCell,haxes,PlotParam,htext,PosColorbar)
%-------------------------------------------------------------------

grid(haxes, 'off')
%default plotting parameters
PlotType='plane';%default
if ~exist('PlotParam','var')
    PlotParam=[];
end
if ~isfield(PlotParam,'Scalar')
    PlotParam.Scalar=[];
end
if ~isfield(PlotParam,'Vectors')
    PlotParam.Vectors=[];
end
PlotParamOut=PlotParam;%default
hfig=get(haxes,'parent');
hcol=findobj(hfig,'Tag','Colorbar'); %look for colorbar axes
hima=findobj(haxes,'Tag','ima');% search existing image in the current axes
AxeData=get(haxes,'UserData'); %default
if ~isstruct(AxeData)% AxeData must be a structure
    AxeData=[];
end
AxeData.NbDim=2;
% if isfield(Data,'ObjectCoord')
%     AxeData.ObjectCoord=Data.ObjectCoord;
% end
errormsg=[];%default
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='';
for icell=1:length(CellVarIndex) % length(CellVarIndex) =1 or 2 (from the calling function)
    VarType=VarTypeCell{icell};
    ivar_X=VarType.coord_x; % defines (unique) index for the variable representing unstructured x coordinate (default =[])
    ivar_Y=VarType.coord_y; % defines (unique)index for the variable representing unstructured y coordinate (default =[])
    ivar_U=VarType.vector_x; % defines (unique) index for the variable representing x vector component (default =[])
    ivar_V=VarType.vector_y; % defines (unique) index for the variable representing y vector component (default =[])
    ivar_C=[VarType.scalar VarType.image VarType.color VarType.ancillary]; %defines index (indices) for the scalar or ancillary fields
    if numel(ivar_C)>1
        errormsg= 'error in plot_field: too many scalar inputs';
        return
    end
    ivar_F=VarType.warnflag; %defines index (unique) for warning flag variable
    ivar_FF=VarType.errorflag; %defines index (unique) for error flag variable
    ind_coord=find(VarType.coord);
    if numel(ind_coord)==2
        VarType.coord=VarType.coord(ind_coord);
    end
%     idim_Y=[];  
%     test_grid=0;
    if ~isempty(ivar_U) && ~isempty(ivar_V)% vector components detected
        if test_vec
            errormsg='error in plot_field: attempt to plot two vector fields';
            return
        else
            test_vec=1;
            eval(['vec_U=Data.' Data.ListVarName{ivar_U} ';']) 
            eval(['vec_V=Data.' Data.ListVarName{ivar_V} ';']) 
            if ~isempty(ivar_X) && ~isempty(ivar_Y)% 2D field (with unstructured coordinates or structured ones (then ivar_X and ivar_Y empty)     
                eval(['vec_X=Data.' Data.ListVarName{ivar_X} ';']) 
                eval(['vec_Y=Data.' Data.ListVarName{ivar_Y} ';'])
            elseif numel(VarType.coord)==2 && ~isequal(VarType.coord,[0 0]);%coordinates defines by dimension variables
                eval(['y=Data.' Data.ListVarName{VarType.coord(1)} ';']) 
                eval(['x=Data.' Data.ListVarName{VarType.coord(2)} ';'])
                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);  
            else
                errormsg='error in plot_field: invalid coordinate definition for vector field';
                return
            end
            if ~isempty(ivar_C)
                 eval(['vec_C=Data.' Data.ListVarName{ivar_C} ';']) ;
                 vec_C=reshape(vec_C,1,numel(vec_C));
                 test_C=1;
            end
            if ~isempty(ivar_F)%~(isfield(PlotParam.Vectors,'HideWarning')&& isequal(PlotParam.Vectors.HideWarning,1)) 
                if test_vec 
                    eval(['vec_F=Data.' Data.ListVarName{ivar_F} ';']) % warning flags for  dubious vectors
                    if  ~(isfield(PlotParam.Vectors,'HideWarning') && isequal(PlotParam.Vectors.HideWarning,1)) 
                        test_black=1;
                    end
                end
            end
            if ~isempty(ivar_FF) %&& ~test_false
                if test_vec% TODO: deal with FF for structured coordinates
                    eval(['vec_FF=Data.' Data.ListVarName{ivar_FF} ';']) % flags for false vectors
                end
            end
        end
    elseif ~isempty(ivar_C) %scalar or image
        if test_ima
             errormsg='attempt to plot two scalar fields or images';
            return
        end
        eval(['A=squeeze(Data.' Data.ListVarName{ivar_C} ');']) ;% scalar represented as color image
        test_ima=1;
        if ~isempty(ivar_X) && ~isempty(ivar_Y)% 2D field (with unstructured coordinates or structured ones (then ivar_X and ivar_Y empty) 
            XName=Data.ListVarName{ivar_X};
            YName=Data.ListVarName{ivar_Y};
            eval(['AX=Data.' XName ';']) 
            eval(['AY=Data.' YName ';'])
            [A,AX,AY]=proj_grid(AX',AY',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 numel(VarType.coord)==2 %structured coordinates
            XName=Data.ListVarName{VarType.coord(2)};
            YName=Data.ListVarName{VarType.coord(1)};
            eval(['AY=Data.' Data.ListVarName{VarType.coord(1)} ';']) 
            eval(['AX=Data.' Data.ListVarName{VarType.coord(2)} ';'])
            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)>=VarType.coord(2) && isfield(Data.VarAttribute{VarType.coord(2)},'units')
                    x_units=['(' Data.VarAttribute{VarType.coord(2)}.units ')'];
                end
                if numel(Data.VarAttribute)>=VarType.coord(1) && isfield(Data.VarAttribute{VarType.coord(1)},'units')
                    y_units=['(' Data.VarAttribute{VarType.coord(1)}.units ')'];
                end
            end  
            if numel(AY)>2
                DAY=diff(AY);
                DAY_min=min(DAY);
                DAY_max=max(DAY);
                if sign(DAY_min)~=sign(DAY_max);% =1 for increasing values, 0 otherwise
                     errormsg=['errror in plot_field.m: non monotonic dimension variable ' Data.ListVarName{VarType.coord(1)} ];
                      return
                end 
                test_interp_Y=(DAY_max-DAY_min)> 0.0001*abs(DAY_max);
            end
            if numel(AX)>2
                DAX=diff(AX);
                DAX_min=min(DAX);
                DAX_max=max(DAX);
                if sign(DAX_min)~=sign(DAX_max);% =1 for increasing values, 0 otherwise
                     errormsg=['errror in plot_field.m: non monotonic dimension variable ' Data.ListVarName{VarType.coord(2)} ];
                      return
                end 
                test_interp_X=(DAX_max-DAX_min)> 0.0001*abs(DAX_max);
            end  
            if test_interp_Y          
                npxy(1)=max([256 floor((AY(end)-AY(1))/DAY_min) floor((AY(end)-AY(1))/DAY_max)]);
                yI=linspace(AY(1),AY(end),npxy(1));
                if ~test_interp_X
                    xI=linspace(AX(1),AX(end),size(A,2));%default 
                    AX=xI;
                end
            end
            if test_interp_X  
                npxy(1)=max([256 floor((AX(end)-AX(1))/DAX_min) floor((AX(end)-AX(1))/DAX_max)]);
                xI=linspace(AX(1),AX(end),npxy(2));   
                if ~test_interp_Y
                   yI=linspace(AY(1),AY(end),size(A,1)); 
                   AY=yI;
                end
            end
            if test_interp_X || test_interp_Y               
                [AX2D,AY2D]=meshgrid(AX,AY);
                A=interp2(AX2D,AY2D,double(A),xI,yI');
            end
            AX=[AX(1) AX(end)];% keep only the lower and upper bounds for image represnetation 
            AY=[AY(1) AY(end)];
        else
            errormsg='error in plot_field: invalid coordinate definition ';
            return
        end
          %x_label=[Data.ListVarName{ivar_X} '(' x_units ')'];
    end          
end 

%%   image or scalar plot %%%%%%%%%%%%%%%%%%%%%%%%%%

if ~isfield(PlotParam.Scalar,'Contours')
    PlotParam.Scalar.Contours=0; %default
end
PlotParamOut=PlotParam; %default
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;%B W image
        elseif np(3)==3
            siz=3;%color image
        else
            errormsg=['unrecognized scalar type: ' num2str(np(3)) ' color components'];
            return
        end
    end
    
    %set the color map
    if isfield(PlotParam.Scalar,'BW')
        BW=PlotParam.Scalar.BW; %test for BW gray scale images
    else
        BW=(siz==2) && (isa(A,'uint8')|| isa(A,'uint16'));% non color images represented in gray scale by default
    end
    
    %case of grey level images or contour plot
    if siz==2 
        if ~isfield(PlotParam.Scalar,'AutoScal')
            PlotParam.Scalar.AutoScal=0;%default
        end
        if ~isfield(PlotParam.Scalar,'MinA')
            PlotParam.Scalar.MinA=[];%default
        end
        if ~isfield(PlotParam.Scalar,'MaxA')
            PlotParam.Scalar.MaxA=[];%default
        end
        if isequal(PlotParam.Scalar.AutoScal,0)||isempty(PlotParam.Scalar.MinA)||~isa(PlotParam.Scalar.MinA,'double')  %correct if there is no numerical data in edit box
            MinA=double(min(min(A)));
        else
            MinA=PlotParam.Scalar.MinA;  
        end; 
        if isequal(PlotParam.Scalar.AutoScal,0)||isempty(PlotParam.Scalar.MaxA)||~isa(PlotParam.Scalar.MaxA,'double') %correct if there is no numerical data in edit box
            MaxA=double(max(max(A)));
        else
            MaxA=PlotParam.Scalar.MaxA;  
        end; 
        PlotParamOut.Scalar.MinA=MinA;
        PlotParamOut.Scalar.MaxA=MaxA;
        
        % case of contour plot
        if isequal(PlotParam.Scalar.Contours,1)
            if ~isempty(hima) && ishandle(hima)
                delete(hima)
            end
            if ~isfield(PlotParam.Scalar,'IncrA')
                PlotParam.Scalar.IncrA=NaN;
            end
            if isnan(PlotParam.Scalar.IncrA)% | PlotParam.Scalar.AutoScal==0
                cont=colbartick(MinA,MaxA);
                intercont=cont(2)-cont(1);%default
                PlotParamOut.Scalar.IncrA=intercont;
            else
               intercont=PlotParam.Scalar.IncrA;
            end
            B=A;            
            abscontmin=intercont*floor(MinA/intercont);
            abscontmax=intercont*ceil(MaxA/intercont);
            contmin=intercont*floor(min(min(B))/intercont);
            contmax=intercont*ceil(max(max(B))/intercont);
            cont_pos_plus=0:intercont:contmax;
            cont_pos_min=double(contmin):intercont:-intercont;
            cont_pos=[cont_pos_min cont_pos_plus];
            sizpx=(AX(end)-AX(1))/(np(2)-1);
            sizpy=(AY(1)-AY(end))/(np(1)-1);
            x_cont=AX(1):sizpx:AX(end); % pixel x coordinates for image display 
            y_cont=AY(1):-sizpy:AY(end); % pixel x coordinates for image display
           % axes(haxes)% set the input axes handle as current axis
    txt=ver('MATLAB');
    Release=txt.Release;
            relnumb=str2double(Release(3:4));
            if relnumb >= 14
                    vec=linspace(0,1,(abscontmax-abscontmin)/intercont);%define a greyscale colormap with steps intercont
                map=[vec' vec' vec'];
                colormap(map);
                [var,hcontour]=contour(x_cont,y_cont,B,cont_pos);        
                set(hcontour,'Fill','on')
                set(hcontour,'LineStyle','none')
                hold on
            end
            [var_p,hcontour_p]=contour(x_cont,y_cont,B,cont_pos_plus,'k-');
            hold on
            [var_m,hcontour_m]=contour(x_cont,y_cont,B,cont_pos_min,':');
            set(hcontour_m,'LineColor',[1 1 1])
            hold off
            caxis([abscontmin abscontmax]) 
            colormap(map);
        end
        
        % set  colormap for  image display
        if ~isequal(PlotParam.Scalar.Contours,1)  
            % rescale the grey levels with min and max, put a grey scale colorbar
            B=A;
            if BW
                vec=linspace(0,1,255);%define a linear greyscale colormap
                map=[vec' vec' vec'];
                colormap(map);  %grey scale color map 
            else
                colormap('default'); % standard faulse colors for div, vort , scalar fields 
            end
        end
        
    % case of color images 
    else 
        if BW
            B=uint16(sum(A,3));
        else
            B=uint8(A);
        end
        MinA=0;
        MaxA=255;
    end
    
    % display usual image
    if ~isequal(PlotParam.Scalar.Contours,1)      
        % interpolate field to increase resolution of image display
        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
        if test_interp==1%if we interpolate    
            x=linspace(AX(1),AX(2),np(2));
            y=linspace(AY(1),AY(2),np(1));
            [X,Y]=meshgrid(x,y);
            xi=linspace(AX(1),AX(2),npxy(2));
            yi=linspace(AY(1),AY(2),npxy(1));
            B = interp2(X,Y,double(B),xi,yi');
        end           
        % create new image if there  no image handle is found
        if isempty(hima)
           % axes(haxes)% set haxes the current axes for image creation
         %   set(hfig,'CurrentAxes',haxes) % set haxes the current axes for image creation 
            tag=get(haxes,'Tag');
            if MinA<MaxA
                hima=imagesc(AX,AY,B,[MinA MaxA]);
            else % to deal with uniform field
                hima=imagesc(AX,AY,B,[MaxA-1 MaxA]);
            end
            set(hima,'Tag','ima','HitTest','off')
            set(haxes,'Tag',tag);%preserve the axes tag (removed by image fct !!!)            
        % update an existing image
        else
            set(hima,'CData',B);
            if MinA<MaxA
                set(haxes,'CLim',[MinA MaxA])
                %caxis([MinA MaxA])
            else
                set(haxes,'CLim',[MinA MaxA])
                %caxis([MaxA-1 MaxA])
            end
            set(hima,'XData',AX);
            set(hima,'YData',AY);
        end
    end
    if ~isstruct(AxeData)
        AxeData=[];
    end
%     AxeData.A=A;
%     AxeData.AX=[AX(1) AX(end)];
%     AxeData.AY=[AY(1) AY(end)];
    test_ima=1;
    
    %display the colorbar code for B/W images if Poscolorbar not empty
    if siz==2 && exist('PosColorbar','var')&& ~isempty(PosColorbar)
        if isempty(hcol)||~ishandle(hcol)
             hcol=colorbar;%create new colorbar
        end
        if length(PosColorbar)==4
                 set(hcol,'Position',PosColorbar)           
        end 
        %YTick=0;%default
        if MaxA>MinA
            if isequal(PlotParam.Scalar.Contours,1)
                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,'BW') && isequal(PlotParam.Scalar.BW,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
else%no scalar plot
    if ~isempty(hima) && ishandle(hima) 
        delete(hima)
    end
    if ~isempty(hcol)&& ishandle(hcol)
       delete(hcol)
    end
%     AxeData.A=[];
%     AxeData.AX=[];
%     AxeData.AY=[];
    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);
%     MinMaxY=max(vec_Y)-min(vec_Y);
%     AxeData.Mesh=sqrt((MinMaxX*MinMaxY)/length(vec_X));
    if  ~isfield(PlotParam.Vectors,'AutoVec') || isequal(PlotParam.Vectors.AutoVec,0)|| ~isfield(PlotParam.Vectors,'VecScale')...
               ||isempty(PlotParam.Vectors.VecScale)||~isa(PlotParam.Vectors.VecScale,'double') %automatic vector scale
%         scale=[];
        if test_false %remove false vectors
            indsel=find(AxeData.FF==0);%indsel =indices of good vectors
        else     
            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
    else
        scale=PlotParam.Vectors.VecScale;  %impose the length of vector representation
    end;
    
    %record vectors on the plotting axes
    if test_C==0
        vec_C=ones(1,numel(vec_X));
    end
%     AxeData.X=vec_X';
%     AxeData.Y=vec_Y';
%     AxeData.U=vec_U';
%     AxeData.V=vec_V';
%     AxeData.C=vec_C';
%     if isempty(ivar_F)
%         AxeData.F=[];
%     else
%         AxeData.F=vec_F';
%     end
%     if isempty(ivar_FF)
%         AxeData.FF=[];
%     else
%         AxeData.FF=vec_FF';
%     end
    
    %decimate by a factor 2 in vector mesh(4 in nbre of vectors)
    if isfield(PlotParam.Vectors,'decimate4') && isequal(PlotParam.Vectors.decimate4,1)
        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
        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_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
    sizlist=size(colorlist);
    nbcolor=sizlist(1);
    if test_black 
       nbcolor=nbcolor+1;
       colorlist(nbcolor,:)=[0 0 0]; %add black to the list of colors
       if ~isempty(ivar_FF)
            ind_flag=find(vec_F~=1 & vec_F~=0 & vec_FF==0);  %flag warning but not false
       else
            ind_flag=find(vec_F~=1 & vec_F~=0);
       end
       col_vec(ind_flag)=nbcolor;    
    end
    nbcolor=nbcolor+1;
    if ~isempty(ivar_FF)
        ind_flag=find(vec_FF~=0);
        if isfield(PlotParam.Vectors,'HideFalse') && PlotParam.Vectors.HideFalse==1
            colorlist(nbcolor,:)=[NaN NaN NaN];% no plot of false vectors
        else
            colorlist(nbcolor,:)=[1 0 1];% magenta color
        end
        col_vec(ind_flag)=nbcolor;
    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
%     AxeData.X=[];
%     AxeData.Y=[];
%     AxeData.U=[];
%     AxeData.V=[];
%     AxeData.C=[];
%     AxeData.W=[];
%     AxeData.F=[];
%      AxeData.FF=[];
%     AxeData.Mesh=[];
    PlotParamOut=rmfield(PlotParamOut,'Vectors');
end
% if isfield(Data,'Z')
%     AxeData.Z=Data.Z;% A REVOIR
% end
listfields={'AY','AX','A','X','Y','U','V','C','W','F','FF'};
listdim={'AY','AX',{'AY','AX'},'nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors'};
Role={'coord_y','coord_x','scalar','coord_x','coord_y','vector_x','vector_y','scalar','vector_z','warnflag','errorflag'};
%ind_select=[];
nbvar=0;
% AxeData.ListVarName={};
% AxeData.VarDimName={};
% AxeData.VarAttribute={};
% for ilist=1:numel(listfields)
%     eval(['testvar=isfield(AxeData,listfields{ilist}) && ~isempty(AxeData.' listfields{ilist} ');'])
%     if testvar
%         nbvar=nbvar+1;
%         AxeData.ListVarName{nbvar}=listfields{ilist};
%         AxeData.VarDimName{nbvar}=listdim{ilist};
%         AxeData.VarAttribute{nbvar}.Role=Role{ilist};
%     end
% end
%store the coordinate extrema occupied by the field
test_lim=0;
if test_vec
    Xlim=[min(vec_X) max(vec_X)];
    Ylim=[min(vec_Y) max(vec_Y)];
    test_lim=1;
    if test_ima%both background image and vectors coexist, take the wider bound
        Xlim(1)=min(AX(1),Xlim(1));
        Xlim(2)=max(AX(end),Xlim(2));
        Ylim(1)=min(AY(end),Ylim(1));
        Ylim(2)=max(AY(1),Ylim(2));
    end
elseif test_ima %only image plot
    Xlim(1)=min(AX(1),AX(end));
    Xlim(2)=max(AX(1),AX(end));
    Ylim(1)=min(AY(1),AY(end));
    Ylim(2)=max(AY(1),AY(end));
    test_lim=1;
end
AxeData.RangeX=Xlim;
AxeData.RangeY=Ylim;
% adjust the size of the plot to include the whole field, except if PlotParam.FixedLimits=1
if ~(isfield(PlotParam,'FixedLimits') && PlotParam.FixedLimits) && test_lim 
        if Xlim(2)>Xlim(1)
            set(haxes,'XLim',Xlim);% set x limits of frame in axes coordinates
        end
        if Ylim(2)>Ylim(1)
            set(haxes,'YLim',Ylim);% set y limits of frame in axes coordinate
        end
end
if ~(isfield(PlotParam,'Auto_xy') && isequal(PlotParam.Auto_xy,1))
     set(haxes,'DataAspectRatio',[1 1 1])
end
set(haxes,'YDir','normal') 
set(get(haxes,'XLabel'),'String',[XName x_units]);
set(get(haxes,'YLabel'),'String',[YName y_units]);

%-------------------------------------------------------------------
% --- 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(gca,'Type','Line');% search existing lines in the current axes
h=findobj(haxes,'Tag','vel');% search existing lines in the current axes
sizh=size(h);
set(h,'EraseMode','xor');
set(haxes,'NextPlot','replacechildren');
      
%drawnow
%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
sizlist=size(colorlist);
ncolor=sizlist(1);

for icolor=1:ncolor
    %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(:)-uc(:)/2 xc(:)+uc(:)/2 xN(:)]';
%     matx=[xc(:) xc(:)+uc(:) xN(:)]';
    matx=reshape(matx,1,3*n(2));
    maty=[yc(:)-vc(:)/2 yc(:)+vc(:)/2 xN(:)]';
%     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
      hx = [x1;x2;x3];
      hy = [y1;y2;y3];
    tri=reshape(1:3*length(uc),3,[])';
    d = tri(:,[1 2 3 1])'; 
    
    isn=isnan(colorlist(icolor,:));%test if color NaN
    if 2*icolor > sizh(1) %if icolor exceeds the number of existing ones
        %axes(haxes)
      %  hfig=get(haxes,'parent');
%         axes(haxes)
      %  set(0,'CurrentFigure',hfig)
       % set(hfig,'CurrentAxes',haxes)
        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
%                 fill(hx(d),hy(d),colorlist(icolor,:),'EdgeColor','none','
%                 Tag','Vel');
          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*ncolor
    for icolor=ncolor+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=[-9:div:9];
    values=-10:div:10;
    ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);%indices of 'values' such that MinA<ord*values<MaxA
    siz=size(ind);
    if siz(2)<4%if there are less than 4 selected values (4 levels)
        values=-9:0.5*div:9;
        ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);
    end
    siz2=size(ind,2);
%     siz2=siz(2)
    div=div/10;
end
YTick=ord*values(ind);
end