[201] | 1 | %'plot_field': plot any field with the structure defined in the uvmat package
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| 2 | %------------------------------------------------------------------------
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| 3 | %
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| 4 | % This function is used by uvmat to plot fields. It automatically chooses the representation
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| 5 | % appropriate to the input field structure:
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| 6 | % 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).
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| 7 | % The input field structure is first tested by check_field_structure.m,
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| 8 | % then split into blocks of related variables by find_field_indices.m.
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| 9 | % The dimensionality of each block is obtained by this fuction
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| 10 | % considering the presence of variables with the attribute .Role='coord_x'
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| 11 | % and/or coord_y and/or coord_z (case of unstructured coordinates), or
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| 12 | % dimension variables (case of matrices).
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| 13 | %
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| 14 | % function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam,htext,PosColorbar)
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| 15 | %
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| 16 | % OUPUT:
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| 17 | % PlotType: type of plot: 'text','line'(curve plot),'plane':2D view,'volume'
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| 18 | % PlotParamOut: structure, representing the updated plotting parameters, in case of automatic scaling
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| 19 | % haxes: handle of the plotting axis, when a new figure is created.
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| 20 | %
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| 21 | %INPUT
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| 22 | % Data: structure describing the field to plot
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| 23 | % (optional) .ListGlobalAttribute: cell listing the names of the global attributes
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| 24 | % .Att_1,Att_2... : values of the global attributes
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| 25 | % (requested) .ListVarName: list of variable names to select (cell array of char strings {'VarName1', 'VarName2',...} )
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| 26 | % (requested) .VarDimName: list of dimension names for each element of .ListVarName (cell array of string cells)
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| 27 | % .VarAttribute: cell of attributes for each element of .ListVarName (cell array of structures of the form VarAtt.key=value)
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| 28 | % (requested) .Var1, .Var2....: variables (Matlab arrays) with names listed in .ListVarName
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| 29 | %
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| 30 | % Variable attribute .Role :
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| 31 | % The only variable attribute used for plotting purpose is .Role which can take
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| 32 | % the values
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| 33 | % Role = 'scalar': (default) represents a scalar field
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| 34 | % = 'coord_x', 'coord_y', 'coord_z': represents a separate set of
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| 35 | % unstructured coordinate x, y or z
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| 36 | % = 'vector': represents a vector field whose number of components
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| 37 | % is given by the last dimension (called 'nb_dim')
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| 38 | % = 'vector_x', 'vector_y', 'vector_z' :represents the x, y or z component of a vector
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| 39 | % = 'warnflag' : provides a warning flag about the quality of data in a 'Field', default=0, no warning
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| 40 | % = 'errorflag': provides an error flag marking false data,
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| 41 | % default=0, no error. Different non zero values can represent different criteria of elimination.
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| 42 | %
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| 43 | %
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| 44 | % additional elements characterizing the projection object (should not be necessary)--
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| 45 | % Data.Style : style of projection object
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| 46 | % Data.XObject,.YObject: set of coordinates defining the object position;
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| 47 | % Data.ProjMode=type of projection ;
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| 48 | % Data.ProjAngle=angle of projection;
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| 49 | % Data.DX,.DY,.DZ=increments;
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| 50 | % Data.MaxY,MinY: min and max Y
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| 51 |
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| 52 | % 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.
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| 53 | %
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| 54 | % PlotParam: parameters for plotting, as read on the uvmat interface (by function 'read_plot_param.m')
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| 55 | % .FixLimits:=0 (default) adjust axes limit to the X,Y data, =1: preserves the previous axes limits
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| 56 | % .FixEqual: =0 (default):automatic adjustment of the graph, keep 1 to 1 aspect ratio for x and y scales.
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| 57 | % --scalars--
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| 58 | % .Scalar.MaxA: upper bound (saturation color) for the scalar representation, max(field) by default
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| 59 | % .Scalar.MinA: lower bound (saturation) for the scalar representation, min(field) by default
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| 60 | % .Scalar.FixScal: =0 (default) lower and upper bounds of the scalar representation set to the min and max of the field
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| 61 | % =1 lower and upper bound imposed by .AMax and .MinA
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| 62 | % .Scalar.BW= 1 black and white representation imposed, =0 by default.
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| 63 | % .Scalar.Contours= 1: represent scalars by contour plots (Matlab function 'contour'); =0 by default
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| 64 | % .IncrA : contour interval
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| 65 | % -- vectors--
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| 66 | % .Vectors.VecScale: scale for the vector representation
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| 67 | % .Vectors.FixVec: =0 (default) automatic length for vector representation, =1: length set by .VecScale
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| 68 | % .Vectors.HideFalse= 0 (default) false vectors represented in magenta, =1: false vectors not represented;
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| 69 | % .Vectors.HideWarning= 0 (default) vectors marked by warnflag~=0 marked in black, 1: no warning representation;
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| 70 | % .Vectors.decimate4 = 0 (default) all vectors reprtesented, =1: half of the vectors represented along each coordinate
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| 71 | % -- vector color--
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| 72 | % .Vectors.ColorCode= 'black','white': imposed color (default ='blue')
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| 73 | % 'rgb', : three colors red, blue, green depending
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| 74 | % on thresholds .colcode1 and .colcode2 on the input scalar value (C)
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| 75 | % 'brg': like rgb but reversed color order (blue, green, red)
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| 76 | % '64 colors': continuous color from blue to red (multijet)
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| 77 | % .Vectors.colcode1 : first threshold for rgb, first value for'continuous'
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| 78 | % .Vectors.colcode2 : second threshold for rgb, last value (saturation) for 'continuous'
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| 79 | % .Vectors.FixedCbounds; =0 (default): the bounds on C representation are min and max, =1: they are fixed by .Minc and .MaxC
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| 80 | % .Vectors.MinC = imposed minimum of the scalar field used for vector color;
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| 81 | % .Vectors.MaxC = imposed maximum of the scalar field used for vector color;
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| 82 | %
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| 83 | %
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| 84 | % PosColorbar: if not empty, display a colorbar for B&W images
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| 85 | % imposed position of the colorbar (ex [0.821 0.471 0.019 0.445])
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| 86 |
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| 87 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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| 88 | % Copyright Joel Sommeria, 2008, LEGI / CNRS-UJF-INPG, sommeria@coriolis-legi.org.
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| 89 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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| 90 | % This file is part of the toolbox UVMAT.
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| 91 | %
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| 92 | % UVMAT is free software; you can redistribute it and/or modify
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| 93 | % it under the terms of the GNU General Public License as published by
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| 94 | % the Free Software Foundation; either version 2 of the License, or
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| 95 | % (at your option) any later version.
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| 96 | %
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| 97 | % UVMAT is distributed in the hope that it will be useful,
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| 98 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 99 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 100 | % GNU General Public License (file UVMAT/COPYING.txt) for more details.
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| 101 | %AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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| 102 |
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| 103 | function [PlotType,PlotParamOut,haxes]= plot_field(Data,haxes,PlotParam,PosColorbar)
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| 104 | % TODO:
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| 105 | % use htext: handles of the text edit box (uicontrol)
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| 106 | % introduce PlotParam.Hold: 'on' or 'off' (for curves)
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| 107 | %default output
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| 108 | if ~exist('PlotParam','var'),PlotParam=[];end;
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| 109 | if ~exist('PosColorbar','var'),PosColorbar=[];end;
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| 110 | PlotType='text'; %default
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| 111 | PlotParamOut=PlotParam;%default
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| 112 |
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| 113 | %% test axes and figure
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| 114 | testnewfig=1;%test to create a new figure (default)
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| 115 | testzoomaxes=0;%test for the existence of a zoom secondary figure attached to the plotting axes
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| 116 | if exist('haxes','var')
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| 117 | if ishandle(haxes)
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| 118 | if isequal(get(haxes,'Type'),'axes')
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| 119 | testnewfig=0;
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| 120 | AxeData=get(haxes,'UserData');
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| 121 | if isfield(AxeData,'ZoomAxes')&& ishandle(AxeData.ZoomAxes)
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| 122 | if isequal(get(AxeData.ZoomAxes,'Type'),'axes')
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| 123 | testzoomaxes=1;
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| 124 | zoomaxes=AxeData.ZoomAxes;
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| 125 | end
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| 126 | end
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| 127 | end
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| 128 | end
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| 129 | end
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| 130 | % if isfield(PlotParam,'text_display_1') && ishandle(PlotParam.text_display_1)
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| 131 | % PlotParam=read_plot_param(PlotParam);
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| 132 | % end
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| 133 | % create a new figure and axes if the plotting axes does not exist
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| 134 | if testnewfig
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| 135 | hfig=figure;
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| 136 | set(hfig,'Units','normalized')
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| 137 | haxes=axes;
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| 138 | set(haxes,'position',[0.13,0.2,0.775,0.73])
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| 139 | PlotParam.NextPlot='add'; %parameter for plot_profile and plot_his
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| 140 | else
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| 141 | hfig=get(haxes,'parent');
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| 142 | set(0,'CurrentFigure',hfig)% the parent of haxes becomes the current figure
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| 143 | set(hfig,'CurrentAxes',haxes)% haxes becomes the current axes of the parent figure
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| 144 | end
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| 145 |
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| 146 | %% check input structure
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| 147 | if ~isempty(Data)
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| 148 | [Data,errormsg]=check_field_structure(Data);
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| 149 | if ~isempty(errormsg)
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| 150 | msgbox_uvmat('ERROR',['input of plot_field/check_field_structure: ' errormsg])
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| 151 | display(['input of plot_field/check_field_structure:: ' errormsg])
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| 152 | return
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| 153 | end
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| 154 |
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| 155 | %% check the cells of fields :
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| 156 | [CellVarIndex,NbDim,VarType,errormsg]=find_field_indices(Data);
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| 157 | if ~isempty(errormsg)
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| 158 | msgbox_uvmat('ERROR',['input of plot_field/find_field_indices: ' errormsg]);
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| 159 | return
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| 160 | end
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[206] | 161 | index_2D=find(NbDim==2,2);%find 2D fields (at most 2)
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[201] | 162 | index_3D=find(NbDim>2,1);
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| 163 | if ~isempty(index_3D)
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[206] | 164 | if isfield(Data,'NbDim')&& isequal(Data.NbDim,2)
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| 165 | index_2D=[index_2D index_3D];
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| 166 | else
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[201] | 167 | msgbox_uvmat('ERROR','volume plot not implemented yet');
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| 168 | return
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[206] | 169 | end
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[201] | 170 | end
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[206] | 171 |
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[201] | 172 | index_1D=find(NbDim==1);
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| 173 | index_0D=find(NbDim==0);
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| 174 |
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| 175 | %% set axes properties
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| 176 | if isfield(PlotParam,'FixLimits') && isequal(PlotParam.FixLimits,1) %adjust the graph limits*
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| 177 | set(haxes,'XLimMode', 'manual')
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| 178 | set(haxes,'YLimMode', 'manual')
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| 179 | else
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| 180 | set(haxes,'XLimMode', 'auto')
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| 181 | set(haxes,'YLimMode', 'auto')
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| 182 | end
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| 183 | if ~isfield(PlotParam,'FixEqual')&& isfield(Data,'CoordUnit')
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| 184 | PlotParam.FixEqual=1;
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| 185 | end
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| 186 | if isfield(PlotParam,'FixEqual') && isequal(PlotParam.FixEqual,1)
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| 187 | set(haxes,'DataAspectRatioMode','manual')
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| 188 | set(haxes,'DataAspectRatio',[1 1 1])
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| 189 | else
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| 190 | set(haxes,'DataAspectRatioMode','auto')%automatic aspect ratio
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| 191 | end
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| 192 | else
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| 193 | index_2D=[];
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| 194 | index_1D=[];
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| 195 | index_0D=[];
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| 196 | end
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| 197 |
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| 198 | %% plot if the input field is valid
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| 199 | PlotType='text';
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| 200 | errormsg=[];
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| 201 | AxeData=get(haxes,'UserData');
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| 202 | if isempty(index_2D)
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| 203 | plot_plane([],[],[],haxes);%removes images or vector plots if any
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| 204 | else
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| 205 | [xx,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellVarIndex(index_2D),VarType(index_2D),haxes,PlotParam,PosColorbar);
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| 206 | AxeData.NbDim=2;
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| 207 | if testzoomaxes && isempty(errormsg)
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| 208 | [zoomaxes,PlotParamOut,xx,errormsg]=plot_plane(Data,CellVarIndex(index_2D),VarType(index_2D),zoomaxes,PlotParam,PosColorbar);
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| 209 | AxeData.ZoomAxes=zoomaxes;
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| 210 | end
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| 211 | %remove coordinates variables from 1D plot
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| 212 | for ivar=1:length(index_1D)
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| 213 | if isequal(CellVarIndex{index_1D(ivar)},VarType{index_1D(ivar)}.coord)
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| 214 | index_1D(ivar)=0;
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| 215 | end
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| 216 | end
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| 217 | index_1D=find(index_1D);
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| 218 | end
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| 219 |
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| 220 | if isempty(index_1D)
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| 221 | plot_profile([],[],[],haxes);%
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| 222 | else
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| 223 | PlotParamOut=plot_profile(Data,CellVarIndex(index_1D),VarType(index_1D),haxes,PlotParam);%
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| 224 | if testzoomaxes
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| 225 | [zoomaxes,PlotParamOut]=plot_profile(Data,CellVarIndex(index_1D),VarType(index_1D),zoomaxes,PlotParam);
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| 226 | AxeData.ZoomAxes=zoomaxes;
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| 227 | end
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| 228 | PlotType='line';
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| 229 | end
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| 230 | htext=findobj(hfig,'Tag','text_display');
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| 231 | if ~isempty(htext)
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| 232 | if isempty(index_0D)
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| 233 | set(htext,'String',{''})
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| 234 | else
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| 235 | [errormsg]=plot_text(Data,CellVarIndex(index_0D),htext);
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| 236 | end
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| 237 | end
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| 238 |
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| 239 | if ~isempty(errormsg)
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| 240 | msgbox_uvmat('ERROR', errormsg)
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| 241 | end
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[221] | 242 | if isfield(PlotParamOut,'RangeX')&& isfield(PlotParamOut,'RangeY')
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| 243 | % 'TESTplot'
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| 244 | % haxes
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| 245 | % PlotParamOut.MinX
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| 246 | % PlotParamOut.MaxY
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| 247 | % set(haxes,'XLim',[PlotParamOut.MinX PlotParamOut.MaxX])
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| 248 | % set(haxes,'YLim',[PlotParamOut.MinY PlotParamOut.MaxY])
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| 249 | AxeData.RangeX=PlotParamOut.RangeX;%'[PlotParamOut.MinX PlotParamOut.MaxX];
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| 250 | AxeData.RangeY=PlotParamOut.RangeY;%[PlotParamOut.MinY PlotParamOut.MaxY]
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[201] | 251 | end
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| 252 |
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| 253 | %% update the parameters stored in AxeData
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| 254 | set(haxes,'UserData',AxeData)
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| 255 |
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[206] | 256 | %% update the plotted field stored in parent figure
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[201] | 257 | FigData=get(hfig,'UserData');
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| 258 | tagaxes=get(haxes,'tag');
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| 259 | if isfield(FigData,tagaxes)
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| 260 | eval(['FigData.' tagaxes '=Data;'])
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| 261 | set(hfig,'UserData',FigData)
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| 262 | end
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| 263 |
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| 264 | %-------------------------------------------------------------------
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| 265 | function errormsg=plot_text(FieldData,CellVarIndex,htext)
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| 266 | %-------------------------------------------------------------------
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| 267 | % if exist('hdisplay_in','var') && ~isempty(hdisplay_in) && ishandle(hdisplay_in) && isequal(get(hdisplay_in,'Type'),'uicontrol')
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| 268 | % hdisplay=hdisplay_in;
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| 269 | % else
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| 270 | % figure;%create new figure
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| 271 | % hdisplay=uicontrol('Style','edit', 'Units','normalized','Position', [0 0 1 1],'Max',2,'FontName','monospaced');
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| 272 | % end
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| 273 | errormsg=[];
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| 274 | txt_cell={};
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| 275 | for icell=1:length(CellVarIndex)
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| 276 | VarIndex=CellVarIndex{icell};% indices of the selected variables in the list data.ListVarName
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| 277 | % ff=fields(FieldData);%list of field names
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| 278 | % vv=struct2cell(FieldData);%list of field values
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| 279 | %
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| 280 | % for icell=1:length(vv)
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| 281 | for ivar=1:length(VarIndex)
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| 282 | VarName=FieldData.ListVarName{VarIndex(ivar)};
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| 283 | eval(['VarValue=FieldData.' VarName ';'])
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| 284 | if size(VarValue,1)~=1
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| 285 | VarValue=VarValue';
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| 286 | end
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| 287 | txt=[VarName '=' num2str(VarValue)];
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| 288 | txt_cell=[txt_cell;{txt}];
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| 289 | end
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| 290 | end
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| 291 |
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| 292 | set(htext,'String',txt_cell)
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| 293 | % txt_cell=[txt_cell {num2str(
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| 294 | % Tabcell{icell,1}=ff{icell};
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| 295 | % ss=vv{icell};
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| 296 | % sizss=size(ss);
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| 297 | % if isnumeric(ss)
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| 298 | % if sizss(1)<=1 && length(ss)<5
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| 299 | % displ{icell}=num2str(ss);
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| 300 | % else
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| 301 | % displ{icell}=[class(ss) ', size ' num2str(size(ss))];
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| 302 | % end
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| 303 | % elseif ischar(ss)
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| 304 | % displ{icell}=ss;
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| 305 | % elseif iscell(ss)
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| 306 | % sizcell=size(ss);
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| 307 | % if sizcell(1)==1 && length(sizcell)==2 %line cell
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| 308 | % ssline='{''';
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| 309 | % for icolumn=1:sizcell(2)
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| 310 | % if isnumeric(ss{icolumn})
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| 311 | % if size(ss{icolumn},1)<=1 && length(ss{icolumn})<5
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| 312 | % sscolumn=num2str(ss{icolumn});%line vector
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| 313 | % else
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| 314 | % sscolumn=[class(ss{icolumn}) ', size ' num2str(size(ss{icolumn}))];
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| 315 | % end
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| 316 | % elseif ischar(ss{icolumn})
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| 317 | % sscolumn=ss{icolumn};
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| 318 | % else
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| 319 | % sscolumn=class(ss{icolumn});
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| 320 | % end
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| 321 | % if icolumn==1
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| 322 | % ssline=[ssline sscolumn];
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| 323 | % else
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| 324 | % ssline=[ssline ''',''' sscolumn];
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| 325 | % end
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| 326 | % end
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| 327 | % displ{icell}=[ssline '''}'];
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| 328 | % else
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| 329 | % displ{icell}=[class(ss) ', size ' num2str(sizcell)];
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| 330 | % end
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| 331 | % else
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| 332 | % displ{icell}=class(ss);
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| 333 | % end
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| 334 | % Tabcell{icell,2}=displ{icell};
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| 335 | % end
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| 336 | % Tabchar=cell2tab(Tabcell,': ');
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| 337 | % set(hdisplay,'String', Tabchar)
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| 338 |
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| 339 |
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| 340 | %-------------------------------------------------------------------
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| 341 | function PlotParamOut=plot_profile(data,CellVarIndex,VarType,haxes,PlotParam)
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| 342 | %-------------------------------------------------------------------
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| 343 |
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| 344 | if ~exist('PlotParam','var')
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| 345 | PlotParam=[];
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| 346 | end
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| 347 | PlotParamOut=PlotParam; %default
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| 348 | hfig=get(haxes,'parent');
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| 349 | %suppress existing plot isf empty data
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| 350 | if isempty(data)
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| 351 | hplot=findobj(haxes,'tag','plot_line');
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| 352 | if ~isempty(hplot)
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| 353 | delete(hplot)
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| 354 | end
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| 355 | hlegend=findobj(hfig,'tag','legend');
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| 356 | if ~isempty(hlegend)
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| 357 | delete(hlegend)
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| 358 | end
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| 359 | return
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| 360 | end
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| 361 |
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| 362 |
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| 363 | 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];
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| 364 | set(haxes,'ColorOrder',ColorOrder)
|
---|
| 365 | if isfield(PlotParam,'NextPlot')
|
---|
| 366 | set(haxes,'NextPlot',PlotParam.NextPlot)
|
---|
| 367 | end
|
---|
| 368 | % adjust the size of the plot to include the whole field,
|
---|
| 369 |
|
---|
| 370 | legend_str={};
|
---|
| 371 |
|
---|
| 372 | %% prepare the string for plot command
|
---|
| 373 | %initiate the plot command
|
---|
| 374 | plotstr='hhh=plot(';
|
---|
| 375 | % textmean={};
|
---|
| 376 | coord_x_index=[];
|
---|
| 377 | xtitle='';
|
---|
| 378 | ytitle='';
|
---|
| 379 | test_newplot=1;
|
---|
| 380 |
|
---|
| 381 | %loop on input fields
|
---|
| 382 | for icell=1:length(CellVarIndex)
|
---|
| 383 | VarIndex=CellVarIndex{icell};% indices of the selected variables in the list data.ListVarName
|
---|
| 384 | if ~isempty(VarType{icell}.coord_x)
|
---|
| 385 | coord_x_index=VarType{icell}.coord_x;
|
---|
| 386 | else
|
---|
| 387 | coord_x_index_cell=VarType{icell}.coord(1);
|
---|
| 388 | if isequal(coord_x_index_cell,0)
|
---|
| 389 | continue % the cell has no abscissa, skip it
|
---|
| 390 | end
|
---|
| 391 | coord_x_index=coord_x_index_cell;
|
---|
| 392 | end
|
---|
| 393 | testplot=ones(size(data.ListVarName));%default test for plotted variables
|
---|
| 394 | xtitle=[xtitle data.ListVarName{coord_x_index}];
|
---|
| 395 | eval(['coord_x{icell}=data.' data.ListVarName{coord_x_index} ';']);%coordinate variable set as coord_x
|
---|
| 396 | if isfield(data,'VarAttribute')&& numel(data.VarAttribute)>=coord_x_index && isfield(data.VarAttribute{coord_x_index},'units')
|
---|
| 397 | xtitle=[xtitle '(' data.VarAttribute{coord_x_index}.units '), '];
|
---|
| 398 | else
|
---|
| 399 | xtitle=[xtitle ', '];
|
---|
| 400 | end
|
---|
| 401 | eval(['coord_x{icell}=data.' data.ListVarName{coord_x_index} ';']);%coordinate variable set as coord_x
|
---|
| 402 | XMin(icell)=min(coord_x{icell});
|
---|
| 403 | XMax(icell)=max(coord_x{icell});
|
---|
| 404 | testplot(coord_x_index)=0;
|
---|
| 405 | if ~isempty(VarType{icell}.ancillary')
|
---|
| 406 | testplot(VarType{icell}.ancillary)=0;
|
---|
| 407 | end
|
---|
| 408 | if ~isempty(VarType{icell}.warnflag')
|
---|
| 409 | testplot(VarType{icell}.warnflag)=0;
|
---|
| 410 | end
|
---|
| 411 | if isfield(data,'VarAttribute')
|
---|
| 412 | VarAttribute=data.VarAttribute;
|
---|
| 413 | for ivar=1:length(VarIndex)
|
---|
| 414 | if length(VarAttribute)>=VarIndex(ivar) && isfield(VarAttribute{VarIndex(ivar)},'long_name')
|
---|
| 415 | plotname{VarIndex(ivar)}=VarAttribute{VarIndex(ivar)}.long_name;
|
---|
| 416 | else
|
---|
| 417 | plotname{VarIndex(ivar)}=data.ListVarName{VarIndex(ivar)};%name for display in plot A METTRE
|
---|
| 418 | end
|
---|
| 419 | end
|
---|
| 420 | end
|
---|
| 421 | if ~isempty(VarType{icell}.discrete')
|
---|
| 422 | charplot_0='''+''';
|
---|
| 423 | else
|
---|
| 424 | charplot_0='''-''';
|
---|
| 425 | end
|
---|
| 426 | YMin=0;
|
---|
| 427 | YMax=1;%default
|
---|
| 428 | for ivar=1:length(VarIndex)
|
---|
| 429 | if testplot(VarIndex(ivar))
|
---|
| 430 | VarName=data.ListVarName{VarIndex(ivar)};
|
---|
| 431 | ytitle=[ytitle VarName];
|
---|
| 432 | if isfield(data,'VarAttribute')&& numel(data.VarAttribute)>=VarIndex(ivar) && isfield(data.VarAttribute{VarIndex(ivar)},'units')
|
---|
| 433 | ytitle=[ytitle '(' data.VarAttribute{VarIndex(ivar)}.units '), '];
|
---|
| 434 | else
|
---|
| 435 | ytitle=[ytitle ', '];
|
---|
| 436 | end
|
---|
| 437 | eval(['data.' VarName '=squeeze(data.' VarName ');'])
|
---|
| 438 | %eval(['min(data.' VarName ')'])
|
---|
| 439 | eval(['YMin(ivar)=min(min(data.' VarName '));'])
|
---|
| 440 | eval(['YMax(ivar)=max(max(data.' VarName '));'])
|
---|
| 441 | plotstr=[plotstr 'coord_x{' num2str(icell) '},data.' VarName ',' charplot_0 ','];
|
---|
| 442 | eval(['nbcomponent2=size(data.' VarName ',2);']);
|
---|
| 443 | eval(['nbcomponent1=size(data.' VarName ',1);']);
|
---|
| 444 | if numel(coord_x{icell})==2
|
---|
| 445 | coord_x{icell}=linspace(coord_x{icell}(1),coord_x{icell}(2),nbcomponent1);
|
---|
| 446 | end
|
---|
| 447 | if nbcomponent1==1|| nbcomponent2==1
|
---|
| 448 | legend_str=[legend_str {VarName}]; %variable with one component
|
---|
| 449 | else %variable with severals components
|
---|
| 450 | for ic=1:min(nbcomponent1,nbcomponent2)
|
---|
| 451 | legend_str=[legend_str [VarName '_' num2str(ic)]]; %variable with severals components
|
---|
| 452 | end % labeled by their index (e.g. color component)
|
---|
| 453 | end
|
---|
| 454 | end
|
---|
| 455 | end
|
---|
| 456 | YMin_cell(icell)=min(YMin);
|
---|
| 457 | YMax_cell(icell)=max(YMax);
|
---|
| 458 | end
|
---|
| 459 |
|
---|
| 460 | %% activate the plot
|
---|
| 461 | if test_newplot && ~isequal(plotstr,'hhh=plot(')
|
---|
| 462 | set(hfig,'CurrentAxes',haxes)
|
---|
| 463 | tag=get(haxes,'tag');
|
---|
| 464 | %%%
|
---|
| 465 | plotstr=[plotstr '''tag'',''plot_line'');'];
|
---|
| 466 | eval(plotstr) %execute plot (instruction plotstr)
|
---|
| 467 | %%%
|
---|
| 468 | set(haxes,'tag',tag)
|
---|
| 469 | grid(haxes, 'on')
|
---|
| 470 | hxlabel=xlabel(xtitle(1:end-2));% xlabel (removes ', ' at the end)
|
---|
| 471 | set(hxlabel,'Interpreter','none')% desable tex interpreter
|
---|
| 472 | if length(legend_str)>=1
|
---|
| 473 | hylabel=ylabel(ytitle(1:end-2));% ylabel (removes ', ' at the end)
|
---|
| 474 | set(hylabel,'Interpreter','none')% desable tex interpreter
|
---|
| 475 | end
|
---|
| 476 | if ~isempty(legend_str)
|
---|
| 477 | hlegend=findobj(hfig,'Tag','legend');
|
---|
| 478 | if isempty(hlegend)
|
---|
| 479 | hlegend=legend(legend_str);
|
---|
| 480 | txt=ver('MATLAB');
|
---|
| 481 | Release=txt.Release;
|
---|
| 482 | relnumb=str2double(Release(3:4));% should be changed to Version for better compatibility
|
---|
| 483 | if relnumb >= 14
|
---|
| 484 | set(hlegend,'Interpreter','none')% desable tex interpreter
|
---|
| 485 | end
|
---|
| 486 | else
|
---|
| 487 | legend_old=get(hlegend,'String');
|
---|
| 488 | if isequal(size(legend_old,1),size(legend_str,1))&&~isequal(legend_old,legend_str)
|
---|
| 489 | set(hlegend,'String',[legend_old legend_str]);
|
---|
| 490 | end
|
---|
| 491 | end
|
---|
| 492 | end
|
---|
| 493 | title_str='';
|
---|
| 494 | if isfield(data,'filename')
|
---|
| 495 | [Path, title_str, ext]=fileparts(data.filename);
|
---|
| 496 | title_str=[title_str ext];
|
---|
| 497 | end
|
---|
| 498 | if isfield(data,'Action')
|
---|
| 499 | if ~isequal(title_str,'')
|
---|
| 500 | title_str=[title_str ', '];
|
---|
| 501 | end
|
---|
| 502 | title_str=[title_str data.Action];
|
---|
| 503 | end
|
---|
| 504 | htitle=title(title_str);
|
---|
| 505 | txt=ver('MATLAB');
|
---|
| 506 | Release=txt.Release;
|
---|
| 507 | relnumb=str2double(Release(3:4));
|
---|
| 508 | if relnumb >= 14
|
---|
| 509 | set(htitle,'Interpreter','none')% desable tex interpreter
|
---|
| 510 | end
|
---|
| 511 | end
|
---|
| 512 |
|
---|
| 513 | %% determine axes bounds
|
---|
[221] | 514 | PlotParamOut.RangeX=[min(XMin) max(XMax)];
|
---|
| 515 | PlotParamOut.RangeY=[min(YMin_cell) max(YMax_cell)];
|
---|
| 516 | fix_lim=isfield(PlotParam,'FixLimits') && PlotParam.FixLimits;
|
---|
[201] | 517 | if fix_lim
|
---|
| 518 | if ~isfield(PlotParam,'MinX')||~isfield(PlotParam,'MaxX')||~isfield(PlotParam,'MinY')||~isfield(PlotParam,'MaxY')
|
---|
| 519 | fix_lim=0; %free limits if lits are not set,
|
---|
[221] | 520 | end
|
---|
[201] | 521 | end
|
---|
| 522 | if ~fix_lim
|
---|
| 523 | PlotParamOut.MinX=min(XMin);
|
---|
| 524 | PlotParamOut.MaxX=max(XMax);
|
---|
| 525 | PlotParamOut.MinY=min(YMin_cell);
|
---|
| 526 | PlotParamOut.MaxY=max(YMax_cell);
|
---|
| 527 | end
|
---|
| 528 |
|
---|
| 529 | %-------------------------------------------------------------------
|
---|
| 530 | function [haxes,PlotParamOut,PlotType,errormsg]=plot_plane(Data,CellVarIndex,VarTypeCell,haxes,PlotParam,PosColorbar)
|
---|
| 531 | %-------------------------------------------------------------------
|
---|
| 532 | grid(haxes, 'off')
|
---|
| 533 | %default plotting parameters
|
---|
| 534 | PlotType='plane';%default
|
---|
| 535 | if ~exist('PlotParam','var')
|
---|
| 536 | PlotParam=[];
|
---|
| 537 | end
|
---|
| 538 | if ~isfield(PlotParam,'Scalar')
|
---|
| 539 | PlotParam.Scalar=[];
|
---|
| 540 | end
|
---|
| 541 | if ~isfield(PlotParam,'Vectors')
|
---|
| 542 | PlotParam.Vectors=[];
|
---|
| 543 | end
|
---|
| 544 |
|
---|
| 545 | PlotParamOut=PlotParam;%default
|
---|
| 546 | hfig=get(haxes,'parent');
|
---|
| 547 | hcol=findobj(hfig,'Tag','Colorbar'); %look for colorbar axes
|
---|
| 548 | hima=findobj(haxes,'Tag','ima');% search existing image in the current axes
|
---|
| 549 | errormsg='';%default
|
---|
| 550 | test_ima=0; %default: test for image or map plot
|
---|
| 551 | test_vec=0; %default: test for vector plots
|
---|
| 552 | test_black=0;
|
---|
| 553 | test_false=0;
|
---|
| 554 | test_C=0;
|
---|
| 555 | XName='';
|
---|
| 556 | x_units='';
|
---|
| 557 | YName='';
|
---|
| 558 | y_units='';
|
---|
| 559 | for icell=1:length(CellVarIndex) % length(CellVarIndex) =1 or 2 (from the calling function)
|
---|
| 560 | VarType=VarTypeCell{icell};
|
---|
| 561 | ivar_X=VarType.coord_x; % defines (unique) index for the variable representing unstructured x coordinate (default =[])
|
---|
| 562 | ivar_Y=VarType.coord_y; % defines (unique)index for the variable representing unstructured y coordinate (default =[])
|
---|
| 563 | ivar_U=VarType.vector_x; % defines (unique) index for the variable representing x vector component (default =[])
|
---|
| 564 | ivar_V=VarType.vector_y; % defines (unique) index for the variable representing y vector component (default =[])
|
---|
| 565 | ivar_C=[VarType.scalar VarType.image VarType.color VarType.ancillary]; %defines index (indices) for the scalar or ancillary fields
|
---|
| 566 | if numel(ivar_C)>1
|
---|
| 567 | errormsg= 'error in plot_field: too many scalar inputs';
|
---|
| 568 | return
|
---|
| 569 | end
|
---|
| 570 | ivar_F=VarType.warnflag; %defines index (unique) for warning flag variable
|
---|
| 571 | ivar_FF=VarType.errorflag; %defines index (unique) for error flag variable
|
---|
| 572 | ind_coord=find(VarType.coord);
|
---|
| 573 | if numel(ind_coord)==2
|
---|
| 574 | VarType.coord=VarType.coord(ind_coord);
|
---|
| 575 | end
|
---|
| 576 | if ~isempty(ivar_U) && ~isempty(ivar_V)% vector components detected
|
---|
| 577 | if test_vec
|
---|
| 578 | errormsg='error in plot_field: attempt to plot two vector fields';
|
---|
| 579 | return
|
---|
| 580 | else
|
---|
| 581 | test_vec=1;
|
---|
| 582 | eval(['vec_U=Data.' Data.ListVarName{ivar_U} ';'])
|
---|
| 583 | eval(['vec_V=Data.' Data.ListVarName{ivar_V} ';'])
|
---|
| 584 | if ~isempty(ivar_X) && ~isempty(ivar_Y)% 2D field (with unstructured coordinates or structured ones (then ivar_X and ivar_Y empty)
|
---|
| 585 | XName=Data.ListVarName{ivar_X};
|
---|
| 586 | YName=Data.ListVarName{ivar_Y};
|
---|
[227] | 587 | eval(['vec_X=reshape(Data.' XName ',[],1);'])
|
---|
| 588 | eval(['vec_Y=reshape(Data.' YName ',[],1);'])
|
---|
[201] | 589 | elseif numel(VarType.coord)==2 && ~isequal(VarType.coord,[0 0]);%coordinates defines by dimension variables
|
---|
| 590 | eval(['y=Data.' Data.ListVarName{VarType.coord(1)} ';'])
|
---|
| 591 | eval(['x=Data.' Data.ListVarName{VarType.coord(2)} ';'])
|
---|
| 592 | if numel(y)==2 % y defined by first and last values on aregular mesh
|
---|
| 593 | y=linspace(y(1),y(2),size(vec_U,1));
|
---|
| 594 | end
|
---|
| 595 | if numel(x)==2 % y defined by first and last values on aregular mesh
|
---|
| 596 | x=linspace(x(1),x(2),size(vec_U,2));
|
---|
| 597 | end
|
---|
| 598 | [vec_X,vec_Y]=meshgrid(x,y);
|
---|
| 599 | else
|
---|
| 600 | errormsg='error in plot_field: invalid coordinate definition for vector field';
|
---|
| 601 | return
|
---|
| 602 | end
|
---|
| 603 | if ~isempty(ivar_C)
|
---|
| 604 | eval(['vec_C=Data.' Data.ListVarName{ivar_C} ';']) ;
|
---|
| 605 | vec_C=reshape(vec_C,1,numel(vec_C));
|
---|
| 606 | test_C=1;
|
---|
| 607 | end
|
---|
| 608 | if ~isempty(ivar_F)%~(isfield(PlotParam.Vectors,'HideWarning')&& isequal(PlotParam.Vectors.HideWarning,1))
|
---|
| 609 | if test_vec
|
---|
| 610 | eval(['vec_F=Data.' Data.ListVarName{ivar_F} ';']) % warning flags for dubious vectors
|
---|
| 611 | if ~(isfield(PlotParam.Vectors,'HideWarning') && isequal(PlotParam.Vectors.HideWarning,1))
|
---|
| 612 | test_black=1;
|
---|
| 613 | end
|
---|
| 614 | end
|
---|
| 615 | end
|
---|
| 616 | if ~isempty(ivar_FF) %&& ~test_false
|
---|
| 617 | if test_vec% TODO: deal with FF for structured coordinates
|
---|
| 618 | eval(['vec_FF=Data.' Data.ListVarName{ivar_FF} ';']) % flags for false vectors
|
---|
| 619 | end
|
---|
| 620 | end
|
---|
| 621 | end
|
---|
| 622 | elseif ~isempty(ivar_C) %scalar or image
|
---|
| 623 | if test_ima
|
---|
| 624 | errormsg='attempt to plot two scalar fields or images';
|
---|
| 625 | return
|
---|
| 626 | end
|
---|
| 627 | eval(['A=squeeze(Data.' Data.ListVarName{ivar_C} ');']) ;% scalar represented as color image
|
---|
| 628 | test_ima=1;
|
---|
[227] | 629 | if ~isempty(ivar_X) && ~isempty(ivar_Y)% 2D field (with unstructured coordinates (then ivar_X and ivar_Y not empty)
|
---|
| 630 | A=reshape(A,1,[]);
|
---|
[201] | 631 | XName=Data.ListVarName{ivar_X};
|
---|
| 632 | YName=Data.ListVarName{ivar_Y};
|
---|
[227] | 633 | eval(['AX=reshape(Data.' XName ',1,[]);'])
|
---|
| 634 | eval(['AY=reshape(Data.' YName ',1,[]);'])
|
---|
[201] | 635 | [A,AX,AY]=proj_grid(AX',AY',A',[],[],'np>256'); % interpolate on a grid
|
---|
| 636 | if isfield(Data,'VarAttribute')
|
---|
| 637 | if numel(Data.VarAttribute)>=ivar_X && isfield(Data.VarAttribute{ivar_X},'units')
|
---|
| 638 | x_units=[' (' Data.VarAttribute{ivar_X}.units ')'];
|
---|
| 639 | end
|
---|
| 640 | if numel(Data.VarAttribute)>=ivar_Y && isfield(Data.VarAttribute{ivar_Y},'units')
|
---|
| 641 | y_units=[' (' Data.VarAttribute{ivar_Y}.units ')'];
|
---|
| 642 | end
|
---|
| 643 | end
|
---|
| 644 | elseif numel(VarType.coord)==2 %structured coordinates
|
---|
| 645 | XName=Data.ListVarName{VarType.coord(2)};
|
---|
| 646 | YName=Data.ListVarName{VarType.coord(1)};
|
---|
| 647 | eval(['AY=Data.' Data.ListVarName{VarType.coord(1)} ';'])
|
---|
| 648 | eval(['AX=Data.' Data.ListVarName{VarType.coord(2)} ';'])
|
---|
| 649 | test_interp_X=0; %default, regularly meshed X coordinate
|
---|
| 650 | test_interp_Y=0; %default, regularly meshed Y coordinate
|
---|
| 651 | if isfield(Data,'VarAttribute')
|
---|
| 652 | if numel(Data.VarAttribute)>=VarType.coord(2) && isfield(Data.VarAttribute{VarType.coord(2)},'units')
|
---|
| 653 | x_units=Data.VarAttribute{VarType.coord(2)}.units;
|
---|
| 654 | end
|
---|
| 655 | if numel(Data.VarAttribute)>=VarType.coord(1) && isfield(Data.VarAttribute{VarType.coord(1)},'units')
|
---|
| 656 | y_units=Data.VarAttribute{VarType.coord(1)}.units;
|
---|
| 657 | end
|
---|
| 658 | end
|
---|
| 659 | if numel(AY)>2
|
---|
| 660 | DAY=diff(AY);
|
---|
| 661 | DAY_min=min(DAY);
|
---|
| 662 | DAY_max=max(DAY);
|
---|
| 663 | if sign(DAY_min)~=sign(DAY_max);% =1 for increasing values, 0 otherwise
|
---|
| 664 | errormsg=['errror in plot_field.m: non monotonic dimension variable ' Data.ListVarName{VarType.coord(1)} ];
|
---|
| 665 | return
|
---|
| 666 | end
|
---|
| 667 | test_interp_Y=(DAY_max-DAY_min)> 0.0001*abs(DAY_max);
|
---|
| 668 | end
|
---|
| 669 | if numel(AX)>2
|
---|
| 670 | DAX=diff(AX);
|
---|
| 671 | DAX_min=min(DAX);
|
---|
| 672 | DAX_max=max(DAX);
|
---|
| 673 | if sign(DAX_min)~=sign(DAX_max);% =1 for increasing values, 0 otherwise
|
---|
| 674 | errormsg=['errror in plot_field.m: non monotonic dimension variable ' Data.ListVarName{VarType.coord(2)} ];
|
---|
| 675 | return
|
---|
| 676 | end
|
---|
| 677 | test_interp_X=(DAX_max-DAX_min)> 0.0001*abs(DAX_max);
|
---|
| 678 | end
|
---|
| 679 | if test_interp_Y
|
---|
| 680 | npxy(1)=max([256 floor((AY(end)-AY(1))/DAY_min) floor((AY(end)-AY(1))/DAY_max)]);
|
---|
| 681 | yI=linspace(AY(1),AY(end),npxy(1));
|
---|
| 682 | if ~test_interp_X
|
---|
| 683 | xI=linspace(AX(1),AX(end),size(A,2));%default
|
---|
| 684 | AX=xI;
|
---|
| 685 | end
|
---|
| 686 | end
|
---|
| 687 | if test_interp_X
|
---|
| 688 | npxy(2)=max([256 floor((AX(end)-AX(1))/DAX_min) floor((AX(end)-AX(1))/DAX_max)]);
|
---|
| 689 | xI=linspace(AX(1),AX(end),npxy(2));
|
---|
| 690 | if ~test_interp_Y
|
---|
| 691 | yI=linspace(AY(1),AY(end),size(A,1));
|
---|
| 692 | AY=yI;
|
---|
| 693 | end
|
---|
| 694 | end
|
---|
| 695 | if test_interp_X || test_interp_Y
|
---|
| 696 | [AX2D,AY2D]=meshgrid(AX,AY);
|
---|
| 697 | A=interp2(AX2D,AY2D,double(A),xI,yI');
|
---|
| 698 | end
|
---|
| 699 | AX=[AX(1) AX(end)];% keep only the lower and upper bounds for image represnetation
|
---|
| 700 | AY=[AY(1) AY(end)];
|
---|
| 701 | else
|
---|
| 702 | errormsg='error in plot_field: invalid coordinate definition ';
|
---|
| 703 | return
|
---|
| 704 | end
|
---|
| 705 | end
|
---|
| 706 | %define coordinates as CoordUnits, if not defined as attribute for each variable
|
---|
| 707 | if isfield(Data,'CoordUnit')
|
---|
| 708 | if isempty(x_units)
|
---|
| 709 | x_units=Data.CoordUnit;
|
---|
| 710 | end
|
---|
| 711 | if isempty(y_units)
|
---|
| 712 | y_units=Data.CoordUnit;
|
---|
| 713 | end
|
---|
| 714 | end
|
---|
| 715 |
|
---|
| 716 | end
|
---|
| 717 |
|
---|
| 718 | %% image or scalar plot %%%%%%%%%%%%%%%%%%%%%%%%%%
|
---|
| 719 |
|
---|
| 720 | if ~isfield(PlotParam.Scalar,'Contours')
|
---|
| 721 | PlotParam.Scalar.Contours=0; %default
|
---|
| 722 | end
|
---|
| 723 | PlotParamOut=PlotParam; %default
|
---|
| 724 | if test_ima
|
---|
| 725 | % distinguish B/W and color images
|
---|
| 726 | np=size(A);%size of image
|
---|
| 727 | siz=numel(np);
|
---|
| 728 | if siz>3
|
---|
| 729 | errormsg=['unrecognized scalar type: ' num2str(siz) ' dimensions'];
|
---|
| 730 | return
|
---|
| 731 | end
|
---|
| 732 | if siz==3
|
---|
| 733 | if np(3)==1
|
---|
| 734 | siz=2;%B W image
|
---|
| 735 | elseif np(3)==3
|
---|
| 736 | siz=3;%color image
|
---|
| 737 | else
|
---|
[206] | 738 | errormsg=['unrecognized scalar type in plot_field: considered as 2D field with ' num2str(np(3)) ' color components'];
|
---|
[201] | 739 | return
|
---|
| 740 | end
|
---|
| 741 | end
|
---|
| 742 |
|
---|
| 743 | %set the color map
|
---|
| 744 | if isfield(PlotParam.Scalar,'BW')
|
---|
| 745 | BW=PlotParam.Scalar.BW; %test for BW gray scale images
|
---|
| 746 | else
|
---|
| 747 | BW=(siz==2) && (isa(A,'uint8')|| isa(A,'uint16'));% non color images represented in gray scale by default
|
---|
| 748 | end
|
---|
| 749 |
|
---|
| 750 | %case of grey level images or contour plot
|
---|
| 751 | if siz==2
|
---|
| 752 | if ~isfield(PlotParam.Scalar,'FixScal')
|
---|
| 753 | PlotParam.Scalar.FixScal=0;%default
|
---|
| 754 | end
|
---|
| 755 | if ~isfield(PlotParam.Scalar,'MinA')
|
---|
| 756 | PlotParam.Scalar.MinA=[];%default
|
---|
| 757 | end
|
---|
| 758 | if ~isfield(PlotParam.Scalar,'MaxA')
|
---|
| 759 | PlotParam.Scalar.MaxA=[];%default
|
---|
| 760 | end
|
---|
[206] | 761 | Aline=[];
|
---|
[201] | 762 | if isequal(PlotParam.Scalar.FixScal,0)||isempty(PlotParam.Scalar.MinA)||~isa(PlotParam.Scalar.MinA,'double') %correct if there is no numerical data in edit box
|
---|
[206] | 763 | Aline=reshape(A,1,[]);
|
---|
| 764 | Aline=Aline(~isnan(A));
|
---|
| 765 | if isempty(Aline)
|
---|
[210] | 766 | errormsg='NaN input scalar or image in plot_field';
|
---|
[206] | 767 | return
|
---|
| 768 | end
|
---|
[210] | 769 | MinA=double(min(Aline));
|
---|
[206] | 770 | %MinA=double(min(min(A)));
|
---|
[201] | 771 | else
|
---|
[206] | 772 | MinA=PlotParam.Scalar.MinA;
|
---|
[201] | 773 | end;
|
---|
| 774 | if isequal(PlotParam.Scalar.FixScal,0)||isempty(PlotParam.Scalar.MaxA)||~isa(PlotParam.Scalar.MaxA,'double') %correct if there is no numerical data in edit box
|
---|
[206] | 775 | if isempty(Aline)
|
---|
| 776 | Aline=reshape(A,1,[]);
|
---|
| 777 | Aline=Aline(~isnan(A));
|
---|
| 778 | if isempty(Aline)
|
---|
[210] | 779 | errormsg='NaN input scalar or image in plot_field';
|
---|
[206] | 780 | return
|
---|
| 781 | end
|
---|
| 782 | end
|
---|
[210] | 783 | MaxA=double(max(Aline));
|
---|
[206] | 784 | % MaxA=double(max(max(A)));
|
---|
[201] | 785 | else
|
---|
| 786 | MaxA=PlotParam.Scalar.MaxA;
|
---|
| 787 | end;
|
---|
| 788 | PlotParamOut.Scalar.MinA=MinA;
|
---|
| 789 | PlotParamOut.Scalar.MaxA=MaxA;
|
---|
| 790 |
|
---|
| 791 | % case of contour plot
|
---|
| 792 | if isequal(PlotParam.Scalar.Contours,1)
|
---|
| 793 | if ~isempty(hima) && ishandle(hima)
|
---|
| 794 | delete(hima)
|
---|
| 795 | end
|
---|
| 796 | if ~isfield(PlotParam.Scalar,'IncrA')
|
---|
| 797 | PlotParam.Scalar.IncrA=NaN;
|
---|
| 798 | end
|
---|
| 799 | if isnan(PlotParam.Scalar.IncrA)% | PlotParam.Scalar.AutoScal==0
|
---|
| 800 | cont=colbartick(MinA,MaxA);
|
---|
| 801 | intercont=cont(2)-cont(1);%default
|
---|
| 802 | PlotParamOut.Scalar.IncrA=intercont;
|
---|
| 803 | else
|
---|
| 804 | intercont=PlotParam.Scalar.IncrA;
|
---|
| 805 | end
|
---|
| 806 | B=A;
|
---|
| 807 | abscontmin=intercont*floor(MinA/intercont);
|
---|
| 808 | abscontmax=intercont*ceil(MaxA/intercont);
|
---|
| 809 | contmin=intercont*floor(min(min(B))/intercont);
|
---|
| 810 | contmax=intercont*ceil(max(max(B))/intercont);
|
---|
| 811 | cont_pos_plus=0:intercont:contmax;
|
---|
| 812 | cont_pos_min=double(contmin):intercont:-intercont;
|
---|
| 813 | cont_pos=[cont_pos_min cont_pos_plus];
|
---|
| 814 | sizpx=(AX(end)-AX(1))/(np(2)-1);
|
---|
| 815 | sizpy=(AY(1)-AY(end))/(np(1)-1);
|
---|
| 816 | x_cont=AX(1):sizpx:AX(end); % pixel x coordinates for image display
|
---|
| 817 | y_cont=AY(1):-sizpy:AY(end); % pixel x coordinates for image display
|
---|
| 818 | % axes(haxes)% set the input axes handle as current axis
|
---|
| 819 | txt=ver('MATLAB');
|
---|
| 820 | Release=txt.Release;
|
---|
| 821 | relnumb=str2double(Release(3:4));
|
---|
| 822 | if relnumb >= 14
|
---|
| 823 | vec=linspace(0,1,(abscontmax-abscontmin)/intercont);%define a greyscale colormap with steps intercont
|
---|
| 824 | map=[vec' vec' vec'];
|
---|
| 825 | colormap(map);
|
---|
| 826 | [var,hcontour]=contour(x_cont,y_cont,B,cont_pos);
|
---|
| 827 | set(hcontour,'Fill','on')
|
---|
| 828 | set(hcontour,'LineStyle','none')
|
---|
| 829 | hold on
|
---|
| 830 | end
|
---|
| 831 | [var_p,hcontour_p]=contour(x_cont,y_cont,B,cont_pos_plus,'k-');
|
---|
| 832 | hold on
|
---|
| 833 | [var_m,hcontour_m]=contour(x_cont,y_cont,B,cont_pos_min,':');
|
---|
| 834 | set(hcontour_m,'LineColor',[1 1 1])
|
---|
| 835 | hold off
|
---|
| 836 | caxis([abscontmin abscontmax])
|
---|
| 837 | colormap(map);
|
---|
| 838 | end
|
---|
| 839 |
|
---|
| 840 | % set colormap for image display
|
---|
| 841 | if ~isequal(PlotParam.Scalar.Contours,1)
|
---|
| 842 | % rescale the grey levels with min and max, put a grey scale colorbar
|
---|
| 843 | B=A;
|
---|
| 844 | if BW
|
---|
| 845 | vec=linspace(0,1,255);%define a linear greyscale colormap
|
---|
| 846 | map=[vec' vec' vec'];
|
---|
| 847 | colormap(map); %grey scale color map
|
---|
| 848 | else
|
---|
| 849 | colormap('default'); % standard faulse colors for div, vort , scalar fields
|
---|
| 850 | end
|
---|
| 851 | end
|
---|
| 852 |
|
---|
| 853 | % case of color images
|
---|
| 854 | else
|
---|
| 855 | if BW
|
---|
| 856 | B=uint16(sum(A,3));
|
---|
| 857 | else
|
---|
| 858 | B=uint8(A);
|
---|
| 859 | end
|
---|
| 860 | MinA=0;
|
---|
| 861 | MaxA=255;
|
---|
| 862 | end
|
---|
| 863 |
|
---|
| 864 | % display usual image
|
---|
| 865 | if ~isequal(PlotParam.Scalar.Contours,1)
|
---|
| 866 | % interpolate field to increase resolution of image display
|
---|
| 867 | test_interp=1;
|
---|
| 868 | if max(np) <= 64
|
---|
| 869 | npxy=8*np;% increase the resolution 8 times
|
---|
| 870 | elseif max(np) <= 128
|
---|
| 871 | npxy=4*np;% increase the resolution 4 times
|
---|
| 872 | elseif max(np) <= 256
|
---|
| 873 | npxy=2*np;% increase the resolution 2 times
|
---|
| 874 | else
|
---|
| 875 | npxy=np;
|
---|
| 876 | test_interp=0; % no interpolation done
|
---|
| 877 | end
|
---|
| 878 | if test_interp==1%if we interpolate
|
---|
| 879 | x=linspace(AX(1),AX(2),np(2));
|
---|
| 880 | y=linspace(AY(1),AY(2),np(1));
|
---|
| 881 | [X,Y]=meshgrid(x,y);
|
---|
| 882 | xi=linspace(AX(1),AX(2),npxy(2));
|
---|
| 883 | yi=linspace(AY(1),AY(2),npxy(1));
|
---|
| 884 | B = interp2(X,Y,double(B),xi,yi');
|
---|
| 885 | end
|
---|
| 886 | % create new image if there no image handle is found
|
---|
| 887 | if isempty(hima)
|
---|
| 888 | tag=get(haxes,'Tag');
|
---|
| 889 | if MinA<MaxA
|
---|
| 890 | hima=imagesc(AX,AY,B,[MinA MaxA]);
|
---|
| 891 | else % to deal with uniform field
|
---|
| 892 | hima=imagesc(AX,AY,B,[MaxA-1 MaxA]);
|
---|
| 893 | end
|
---|
| 894 | set(hima,'Tag','ima','HitTest','off')
|
---|
| 895 | set(haxes,'Tag',tag);%preserve the axes tag (removed by image fct !!!)
|
---|
| 896 | uistack(hima, 'bottom')
|
---|
| 897 | % update an existing image
|
---|
| 898 | else
|
---|
| 899 | set(hima,'CData',B);
|
---|
| 900 | if MinA<MaxA
|
---|
| 901 | set(haxes,'CLim',[MinA MaxA])
|
---|
| 902 | %caxis([MinA MaxA])
|
---|
| 903 | else
|
---|
| 904 | set(haxes,'CLim',[MinA MaxA])
|
---|
| 905 | %caxis([MaxA-1 MaxA])
|
---|
| 906 | end
|
---|
| 907 | set(hima,'XData',AX);
|
---|
| 908 | set(hima,'YData',AY);
|
---|
| 909 | end
|
---|
| 910 | end
|
---|
| 911 | % if ~isstruct(AxeData)
|
---|
| 912 | % AxeData=[];
|
---|
| 913 | % end
|
---|
| 914 | test_ima=1;
|
---|
| 915 |
|
---|
| 916 | %display the colorbar code for B/W images if Poscolorbar not empty
|
---|
| 917 | if siz==2 && exist('PosColorbar','var')&& ~isempty(PosColorbar)
|
---|
| 918 | if isempty(hcol)||~ishandle(hcol)
|
---|
| 919 | hcol=colorbar;%create new colorbar
|
---|
| 920 | end
|
---|
| 921 | if length(PosColorbar)==4
|
---|
| 922 | set(hcol,'Position',PosColorbar)
|
---|
| 923 | end
|
---|
| 924 | %YTick=0;%default
|
---|
| 925 | if MaxA>MinA
|
---|
| 926 | if isequal(PlotParam.Scalar.Contours,1)
|
---|
| 927 | colbarlim=get(hcol,'YLim');
|
---|
| 928 | scale_bar=(colbarlim(2)-colbarlim(1))/(abscontmax-abscontmin);
|
---|
| 929 | YTick=cont_pos(2:end-1);
|
---|
| 930 | YTick_scaled=colbarlim(1)+scale_bar*(YTick-abscontmin);
|
---|
| 931 | set(hcol,'YTick',YTick_scaled);
|
---|
| 932 | elseif (isfield(PlotParam.Scalar,'BW') && isequal(PlotParam.Scalar.BW,1))||isa(A,'uint8')|| isa(A,'uint16')%images
|
---|
| 933 | hi=get(hcol,'children');
|
---|
| 934 | if iscell(hi)%multiple images in colorbar
|
---|
| 935 | hi=hi{1};
|
---|
| 936 | end
|
---|
| 937 | set(hi,'YData',[MinA MaxA])
|
---|
| 938 | set(hi,'CData',(1:256)')
|
---|
| 939 | set(hcol,'YLim',[MinA MaxA])
|
---|
| 940 | YTick=colbartick(MinA,MaxA);
|
---|
| 941 | set(hcol,'YTick',YTick)
|
---|
| 942 | else
|
---|
| 943 | hi=get(hcol,'children');
|
---|
| 944 | if iscell(hi)%multiple images in colorbar
|
---|
| 945 | hi=hi{1};
|
---|
| 946 | end
|
---|
| 947 | set(hi,'YData',[MinA MaxA])
|
---|
| 948 | set(hi,'CData',(1:64)')
|
---|
| 949 | YTick=colbartick(MinA,MaxA);
|
---|
| 950 | set(hcol,'YLim',[MinA MaxA])
|
---|
| 951 | set(hcol,'YTick',YTick)
|
---|
| 952 | end
|
---|
| 953 | set(hcol,'Yticklabel',num2str(YTick'));
|
---|
| 954 | end
|
---|
| 955 | elseif ishandle(hcol)
|
---|
| 956 | delete(hcol); %erase existing colorbar if not needed
|
---|
| 957 | end
|
---|
| 958 | else%no scalar plot
|
---|
| 959 | if ~isempty(hima) && ishandle(hima)
|
---|
| 960 | delete(hima)
|
---|
| 961 | end
|
---|
| 962 | if ~isempty(hcol)&& ishandle(hcol)
|
---|
| 963 | delete(hcol)
|
---|
| 964 | end
|
---|
| 965 | PlotParamOut=rmfield(PlotParamOut,'Scalar');
|
---|
| 966 | end
|
---|
| 967 |
|
---|
| 968 | %% vector plot %%%%%%%%%%%%%%%%%%%%%%%%%%
|
---|
| 969 | if test_vec
|
---|
| 970 | %vector scale representation
|
---|
| 971 | if size(vec_U,1)==numel(vec_Y) && size(vec_U,2)==numel(vec_X); % x, y coordinate variables
|
---|
| 972 | [vec_X,vec_Y]=meshgrid(vec_X,vec_Y);
|
---|
| 973 | end
|
---|
| 974 | vec_X=reshape(vec_X,1,numel(vec_X));%reshape in matlab vectors
|
---|
| 975 | vec_Y=reshape(vec_Y,1,numel(vec_Y));
|
---|
| 976 | vec_U=reshape(vec_U,1,numel(vec_U));
|
---|
| 977 | vec_V=reshape(vec_V,1,numel(vec_V));
|
---|
| 978 | MinMaxX=max(vec_X)-min(vec_X);
|
---|
[210] | 979 | if isfield(PlotParam.Vectors,'FixVec') && isequal(PlotParam.Vectors.FixVec,1)&& isfield(PlotParam.Vectors,'VecScale')...
|
---|
| 980 | &&~isempty(PlotParam.Vectors.VecScale) && isa(PlotParam.Vectors.VecScale,'double') %fixed vector scale
|
---|
| 981 | scale=PlotParam.Vectors.VecScale; %impose the length of vector representation
|
---|
| 982 | else
|
---|
| 983 | if ~test_false %remove false vectors
|
---|
[201] | 984 | indsel=1:numel(vec_X);%
|
---|
| 985 | end
|
---|
| 986 | if isempty(vec_U)
|
---|
| 987 | scale=1;
|
---|
| 988 | else
|
---|
| 989 | if isempty(indsel)
|
---|
| 990 | MaxU=max(abs(vec_U));
|
---|
| 991 | MaxV=max(abs(vec_V));
|
---|
| 992 | else
|
---|
| 993 | MaxU=max(abs(vec_U(indsel)));
|
---|
| 994 | MaxV=max(abs(vec_V(indsel)));
|
---|
| 995 | end
|
---|
| 996 | scale=MinMaxX/(max(MaxU,MaxV)*50);
|
---|
| 997 | PlotParam.Vectors.VecScale=scale;%update the 'scale' display
|
---|
| 998 | end
|
---|
[210] | 999 | end
|
---|
[201] | 1000 |
|
---|
| 1001 | %record vectors on the plotting axes
|
---|
| 1002 | if test_C==0
|
---|
| 1003 | vec_C=ones(1,numel(vec_X));
|
---|
| 1004 | end
|
---|
| 1005 |
|
---|
| 1006 | %decimate by a factor 2 in vector mesh(4 in nbre of vectors)
|
---|
| 1007 | if isfield(PlotParam.Vectors,'decimate4') && isequal(PlotParam.Vectors.decimate4,1)
|
---|
| 1008 | diffy=diff(vec_Y); %difference dy=vec_Y(i+1)-vec_Y(i)
|
---|
| 1009 | dy_thresh=max(abs(diffy))/2;
|
---|
| 1010 | ind_jump=find(abs(diffy) > dy_thresh); %indices with diff(vec_Y)> max/2, detect change of line
|
---|
| 1011 | ind_sel=1:ind_jump(1);%select the first line
|
---|
| 1012 | for i=2:2:length(ind_jump)-1
|
---|
| 1013 | ind_sel=[ind_sel (ind_jump(i)+1:ind_jump(i+1))];% select the odd lines
|
---|
| 1014 | end
|
---|
| 1015 | nb_sel=length(ind_sel);
|
---|
| 1016 | ind_sel=ind_sel(1:2:nb_sel);% take half the points on a line
|
---|
| 1017 | vec_X=vec_X(ind_sel);
|
---|
| 1018 | vec_Y=vec_Y(ind_sel);
|
---|
| 1019 | vec_U=vec_U(ind_sel);
|
---|
| 1020 | vec_V=vec_V(ind_sel);
|
---|
| 1021 | vec_C=vec_C(ind_sel);
|
---|
| 1022 | if ~isempty(ivar_F)
|
---|
| 1023 | vec_F=vec_F(ind_sel);
|
---|
| 1024 | end
|
---|
| 1025 | if ~isempty(ivar_FF)
|
---|
| 1026 | vec_FF=vec_FF(ind_sel);
|
---|
| 1027 | end
|
---|
| 1028 | end
|
---|
| 1029 |
|
---|
| 1030 | %get main level color code
|
---|
| 1031 | [colorlist,col_vec,PlotParamOut.Vectors]=set_col_vec(PlotParam.Vectors,vec_C);
|
---|
| 1032 |
|
---|
| 1033 | % take flags into account: add flag colors to the list of colors
|
---|
| 1034 | sizlist=size(colorlist);
|
---|
| 1035 | nbcolor=sizlist(1);
|
---|
| 1036 | if test_black
|
---|
| 1037 | nbcolor=nbcolor+1;
|
---|
| 1038 | colorlist(nbcolor,:)=[0 0 0]; %add black to the list of colors
|
---|
| 1039 | if ~isempty(ivar_FF)
|
---|
[210] | 1040 | % ind_flag=find(vec_F~=1 & vec_F~=0 & vec_FF==0); %flag warning but not false
|
---|
| 1041 | col_vec(vec_F~=1 & vec_F~=0 & vec_FF==0)=nbcolor;
|
---|
[201] | 1042 | else
|
---|
[210] | 1043 | % ind_flag=find(vec_F~=1 & vec_F~=0);
|
---|
| 1044 | col_vec(vec_F~=1 & vec_F~=0)=nbcolor;
|
---|
[201] | 1045 | end
|
---|
[210] | 1046 | % col_vec(ind_flag)=nbcolor;
|
---|
[201] | 1047 | end
|
---|
| 1048 | nbcolor=nbcolor+1;
|
---|
| 1049 | if ~isempty(ivar_FF)
|
---|
[210] | 1050 | %ind_flag=find(vec_FF~=0);
|
---|
[201] | 1051 | if isfield(PlotParam.Vectors,'HideFalse') && PlotParam.Vectors.HideFalse==1
|
---|
| 1052 | colorlist(nbcolor,:)=[NaN NaN NaN];% no plot of false vectors
|
---|
| 1053 | else
|
---|
| 1054 | colorlist(nbcolor,:)=[1 0 1];% magenta color
|
---|
| 1055 | end
|
---|
[210] | 1056 | col_vec(vec_FF~=0)=nbcolor;
|
---|
[201] | 1057 | end
|
---|
| 1058 | %plot vectors:
|
---|
| 1059 | quiresetn(haxes,vec_X,vec_Y,vec_U,vec_V,scale,colorlist,col_vec);
|
---|
| 1060 |
|
---|
| 1061 | else
|
---|
| 1062 | hvec=findobj(haxes,'Tag','vel');
|
---|
| 1063 | if ~isempty(hvec)
|
---|
| 1064 | delete(hvec);
|
---|
| 1065 | end
|
---|
| 1066 | PlotParamOut=rmfield(PlotParamOut,'Vectors');
|
---|
| 1067 | end
|
---|
| 1068 |
|
---|
| 1069 | %listfields={'AY','AX','A','X','Y','U','V','C','W','F','FF'};
|
---|
| 1070 | %listdim={'AY','AX',{'AY','AX'},'nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors','nb_vectors'};
|
---|
| 1071 | %Role={'coord_y','coord_x','scalar','coord_x','coord_y','vector_x','vector_y','scalar','vector_z','warnflag','errorflag'};
|
---|
| 1072 | %ind_select=[];
|
---|
| 1073 | nbvar=0;
|
---|
| 1074 |
|
---|
| 1075 | %store the coordinate extrema occupied by the field
|
---|
| 1076 | if ~isempty(Data)
|
---|
| 1077 | fix_lim=isfield(PlotParam,'FixLimits') && PlotParam.FixLimits;
|
---|
| 1078 | if fix_lim
|
---|
| 1079 | if ~isfield(PlotParam,'MinX')||~isfield(PlotParam,'MaxX')||~isfield(PlotParam,'MinY')||~isfield(PlotParam,'MaxY')
|
---|
| 1080 | fix_lim=0; %free limits if lits are not set,
|
---|
| 1081 | end %else PlotParamOut.XMin =PlotParam.XMin...
|
---|
| 1082 | end
|
---|
[221] | 1083 | % if ~fix_lim
|
---|
[201] | 1084 | XMin=[];
|
---|
| 1085 | XMax=[];
|
---|
| 1086 | YMin=[];
|
---|
| 1087 | YMax=[];
|
---|
| 1088 | if test_ima%both background image and vectors coexist, take the wider bound
|
---|
| 1089 | XMin=min(AX);
|
---|
| 1090 | XMax=max(AX);
|
---|
| 1091 | YMin=min(AY);
|
---|
| 1092 | YMax=max(AY);
|
---|
| 1093 | end
|
---|
| 1094 | if test_vec
|
---|
| 1095 | XMin=[XMin min(vec_X)];
|
---|
| 1096 | XMax=[XMax max(vec_X)];
|
---|
| 1097 | YMin=[YMin min(vec_Y)];
|
---|
| 1098 | YMax=[YMax max(vec_Y)];
|
---|
| 1099 | end
|
---|
[221] | 1100 | PlotParamOut.RangeX=[min(XMin) max(XMax)]; %range of x, to be stored in the user data of the plot axes
|
---|
| 1101 | PlotParamOut.RangeY=[min(YMin) max(YMax)]; %range of x, to be stored in the user data of the plot axes
|
---|
| 1102 | if ~fix_lim
|
---|
[201] | 1103 | PlotParamOut.MinX=min(XMin);
|
---|
| 1104 | PlotParamOut.MaxX=max(XMax);
|
---|
| 1105 | PlotParamOut.MinY=min(YMin);
|
---|
| 1106 | PlotParamOut.MaxY=max(YMax);
|
---|
| 1107 | if XMax>XMin
|
---|
| 1108 | set(haxes,'XLim',[XMin XMax]);% set x limits of frame in axes coordinates
|
---|
| 1109 | end
|
---|
| 1110 | if YMax>YMin
|
---|
| 1111 | set(haxes,'YLim',[YMin YMax]);% set x limits of frame in axes coordinates
|
---|
| 1112 | end
|
---|
| 1113 | end
|
---|
| 1114 | set(haxes,'YDir','normal')
|
---|
| 1115 | set(get(haxes,'XLabel'),'String',[XName ' (' x_units ')']);
|
---|
| 1116 | set(get(haxes,'YLabel'),'String',[YName ' (' y_units ')']);
|
---|
| 1117 | PlotParamOut.x_units=x_units;
|
---|
| 1118 | PlotParamOut.y_units=y_units;
|
---|
| 1119 | end
|
---|
| 1120 | %-------------------------------------------------------------------
|
---|
| 1121 | % --- function for plotting vectors
|
---|
| 1122 | %INPUT:
|
---|
| 1123 | % haxes: handles of the plotting axes
|
---|
| 1124 | % x,y,u,v: vectors coordinates and vector components to plot, arrays withb the same dimension
|
---|
| 1125 | % scale: scaling factor for vector length representation
|
---|
| 1126 | % colorlist(icolor,:): list of vector colors, dim (nbcolor,3), depending on color #i
|
---|
| 1127 | % col_vec: matlab vector setting the color number #i for each velocity vector
|
---|
| 1128 | function quiresetn(haxes,x,y,u,v,scale,colorlist,col_vec)
|
---|
| 1129 | %-------------------------------------------------------------------
|
---|
| 1130 | %define arrows
|
---|
| 1131 | theta=0.5 ;%angle arrow
|
---|
| 1132 | alpha=0.3 ;%length arrow
|
---|
| 1133 | rot=alpha*[cos(theta) -sin(theta); sin(theta) cos(theta)]';
|
---|
| 1134 | %find the existing lines
|
---|
| 1135 | h=findobj(haxes,'Tag','vel');% search existing lines in the current axes
|
---|
| 1136 | sizh=size(h);
|
---|
| 1137 | set(h,'EraseMode','xor');
|
---|
| 1138 | set(haxes,'NextPlot','replacechildren');
|
---|
| 1139 |
|
---|
| 1140 | %drawnow
|
---|
| 1141 | %create lines (if no lines) or modify them
|
---|
| 1142 | if ~isequal(size(col_vec),size(x))
|
---|
| 1143 | col_vec=ones(size(x));% case of error in col_vec input
|
---|
| 1144 | end
|
---|
| 1145 | sizlist=size(colorlist);
|
---|
| 1146 | ncolor=sizlist(1);
|
---|
| 1147 |
|
---|
| 1148 | for icolor=1:ncolor
|
---|
| 1149 | %determine the line positions for each color icolor
|
---|
| 1150 | ind=find(col_vec==icolor);
|
---|
| 1151 | xc=x(ind);
|
---|
| 1152 | yc=y(ind);
|
---|
| 1153 | uc=u(ind)*scale;
|
---|
| 1154 | vc=v(ind)*scale;
|
---|
| 1155 | n=size(xc);
|
---|
| 1156 | xN=NaN*ones(size(xc));
|
---|
| 1157 | matx=[xc(:)-uc(:)/2 xc(:)+uc(:)/2 xN(:)]';
|
---|
| 1158 | % matx=[xc(:) xc(:)+uc(:) xN(:)]';
|
---|
| 1159 | matx=reshape(matx,1,3*n(2));
|
---|
| 1160 | maty=[yc(:)-vc(:)/2 yc(:)+vc(:)/2 xN(:)]';
|
---|
| 1161 | % maty=[yc(:) yc(:)+vc(:) xN(:)]';
|
---|
| 1162 | maty=reshape(maty,1,3*n(2));
|
---|
| 1163 |
|
---|
| 1164 | %determine arrow heads
|
---|
| 1165 | arrowplus=rot*[uc;vc];
|
---|
| 1166 | arrowmoins=rot'*[uc;vc];
|
---|
| 1167 | x1=xc+uc/2-arrowplus(1,:);
|
---|
| 1168 | x2=xc+uc/2;
|
---|
| 1169 | x3=xc+uc/2-arrowmoins(1,:);
|
---|
| 1170 | y1=yc+vc/2-arrowplus(2,:);
|
---|
| 1171 | y2=yc+vc/2;
|
---|
| 1172 | y3=yc+vc/2-arrowmoins(2,:);
|
---|
| 1173 | matxar=[x1(:) x2(:) x3(:) xN(:)]';
|
---|
| 1174 | matxar=reshape(matxar,1,4*n(2));
|
---|
| 1175 | matyar=[y1(:) y2(:) y3(:) xN(:)]';
|
---|
| 1176 | matyar=reshape(matyar,1,4*n(2));
|
---|
| 1177 | %draw the line or modify the existing ones
|
---|
| 1178 | tri=reshape(1:3*length(uc),3,[])';
|
---|
| 1179 | isn=isnan(colorlist(icolor,:));%test if color NaN
|
---|
| 1180 | if 2*icolor > sizh(1) %if icolor exceeds the number of existing ones
|
---|
| 1181 | if ~isn(1) %if the vectors are visible color not nan
|
---|
| 1182 | if n(2)>0
|
---|
| 1183 | hold on
|
---|
| 1184 | line(matx,maty,'Color',colorlist(icolor,:),'Tag','vel');% plot new lines
|
---|
| 1185 | line(matxar,matyar,'Color',colorlist(icolor,:),'Tag','vel');% plot arrows
|
---|
| 1186 | end
|
---|
| 1187 | end
|
---|
| 1188 | else
|
---|
| 1189 | if isn(1)
|
---|
| 1190 | delete(h(2*icolor-1))
|
---|
| 1191 | delete(h(2*icolor))
|
---|
| 1192 | else
|
---|
| 1193 | set(h(2*icolor-1),'Xdata',matx,'Ydata',maty);
|
---|
| 1194 | set(h(2*icolor-1),'Color',colorlist(icolor,:));
|
---|
| 1195 | set(h(2*icolor-1),'EraseMode','xor');
|
---|
| 1196 | set(h(2*icolor),'Xdata',matxar,'Ydata',matyar);
|
---|
| 1197 | set(h(2*icolor),'Color',colorlist(icolor,:));
|
---|
| 1198 | set(h(2*icolor),'EraseMode','xor');
|
---|
| 1199 | end
|
---|
| 1200 | end
|
---|
| 1201 | end
|
---|
| 1202 | if sizh(1) > 2*ncolor
|
---|
| 1203 | for icolor=ncolor+1 : sizh(1)/2%delete additional objects
|
---|
| 1204 | delete(h(2*icolor-1))
|
---|
| 1205 | delete(h(2*icolor))
|
---|
| 1206 | end
|
---|
| 1207 | end
|
---|
| 1208 |
|
---|
| 1209 | %-------------------------------------------------------------------
|
---|
| 1210 | % ---- determine tick positions for colorbar
|
---|
| 1211 | function YTick=colbartick(MinA,MaxA)
|
---|
| 1212 | %-------------------------------------------------------------------
|
---|
| 1213 | %determine tick positions with "simple" values between MinA and MaxA
|
---|
| 1214 | YTick=0;%default
|
---|
| 1215 | maxabs=max([abs(MinA) abs(MaxA)]);
|
---|
| 1216 | if maxabs>0
|
---|
| 1217 | ord=10^(floor(log10(maxabs)));%order of magnitude
|
---|
| 1218 | div=1;
|
---|
| 1219 | siz2=1;
|
---|
| 1220 | while siz2<2
|
---|
| 1221 | % values=[-9:div:9];
|
---|
| 1222 | values=-10:div:10;
|
---|
| 1223 | ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);%indices of 'values' such that MinA<ord*values<MaxA
|
---|
| 1224 | siz=size(ind);
|
---|
| 1225 | if siz(2)<4%if there are less than 4 selected values (4 levels)
|
---|
| 1226 | values=-9:0.5*div:9;
|
---|
| 1227 | ind=find((ord*values-MaxA)<0 & (ord*values-MinA)>0);
|
---|
| 1228 | end
|
---|
| 1229 | siz2=size(ind,2);
|
---|
| 1230 | % siz2=siz(2)
|
---|
| 1231 | div=div/10;
|
---|
| 1232 | end
|
---|
| 1233 | YTick=ord*values(ind);
|
---|
| 1234 | end
|
---|
| 1235 |
|
---|