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| 1 | +function updateWordcloud(obj,scatterIndex) |
| 2 | + |
| 3 | +%-AXIS INDEX-% |
| 4 | +axIndex = obj.getAxisIndex(obj.State.Plot(scatterIndex).AssociatedAxis); |
| 5 | + |
| 6 | +%-SCATTER DATA STRUCTURE- % |
| 7 | +scatter_data = get(obj.State.Plot(scatterIndex).Handle); |
| 8 | + |
| 9 | + |
| 10 | +%-CHECK FOR MULTIPLE AXES-% |
| 11 | +[xsource, ysource] = findSourceAxis(obj,axIndex); |
| 12 | + |
| 13 | +%-------------------------------------------------------------------------% |
| 14 | + |
| 15 | +%-scatter type-% |
| 16 | +obj.data{scatterIndex}.type = 'scatter'; |
| 17 | + |
| 18 | +%-------------------------------------------------------------------------% |
| 19 | + |
| 20 | +%-format the mesh domain-% |
| 21 | +maxx = scatter_data.MaxDisplayWords; |
| 22 | +npoints = round(sqrt(maxx)); |
| 23 | + |
| 24 | +if mod(npoints, 2) == 0 |
| 25 | + npoints = npoints+1; |
| 26 | +end |
| 27 | + |
| 28 | +xdomain = linspace(1, maxx, npoints); |
| 29 | +ydomain = linspace(1, maxx*.7, npoints); |
| 30 | + |
| 31 | +[xdata, ydata] = meshgrid(xdomain, ydomain); |
| 32 | +xrand = diff(xdomain(1:2)) * (rand(size(xdata)) - 0.5); |
| 33 | +yrand = diff(ydomain(1:2)) * (rand(size(ydata)) - 0.5); |
| 34 | +xdata = xdata + xrand; |
| 35 | +ydata = ydata + yrand; |
| 36 | + |
| 37 | +%-------------------------------------------------------------------------% |
| 38 | + |
| 39 | +%-make oval effect-% |
| 40 | +inds = (xdata-0.5*xdomain(end)).^2 + (ydata-0.5*ydomain(end)).^2 < (0.5*maxx)^2; |
| 41 | +xdata(~inds) = NaN; |
| 42 | +ydata(~inds) = NaN; |
| 43 | + |
| 44 | +%-------------------------------------------------------------------------% |
| 45 | + |
| 46 | +%-get frequency-% |
| 47 | +[B, inds] = sort(scatter_data.SizeData, 'descend'); |
| 48 | + |
| 49 | +%-------------------------------------------------------------------------% |
| 50 | + |
| 51 | +%-take more freq words-% |
| 52 | +nwords = numel(xdata); |
| 53 | +inds = inds(1:nwords); |
| 54 | + |
| 55 | +%-------------------------------------------------------------------------% |
| 56 | + |
| 57 | +%-get indices for distribution-% |
| 58 | +middle = round(nwords*0.5); |
| 59 | +inds = inds(mod([1:nwords] + middle, nwords)+1); |
| 60 | +inds_aux = inds; |
| 61 | +inds1 = round(linspace(1,middle-1, round(middle/2))); |
| 62 | +inds2 = round(linspace(nwords,middle+1, round(middle/2))); |
| 63 | +inds(inds1) = inds_aux(inds2); |
| 64 | +inds(inds2) = inds_aux(inds1); |
| 65 | + |
| 66 | +%-------------------------------------------------------------------------% |
| 67 | + |
| 68 | +%-exchange columns-% |
| 69 | +inds = reshape(inds, size(xdata)); |
| 70 | +inds_aux = inds; |
| 71 | +mc = round(0.5*size(inds_aux, 2)); |
| 72 | + |
| 73 | +inds(:,mc-2) = inds_aux(:,mc-1); |
| 74 | +inds(:,mc-1) = inds_aux(:,mc-2); |
| 75 | +inds(:,mc+1) = inds_aux(:,mc+2); |
| 76 | +inds(:,mc+2) = inds_aux(:,mc+1); |
| 77 | +inds = inds(:); |
| 78 | + |
| 79 | +%-------------------------------------------------------------------------% |
| 80 | + |
| 81 | +%-get data to wordcloud-% |
| 82 | + |
| 83 | +% sizedata |
| 84 | +sizedata = scatter_data.SizeData(inds); |
| 85 | + |
| 86 | +% worddata |
| 87 | +worddata = cell(nwords,1); |
| 88 | +for w = 1:nwords |
| 89 | + worddata{w} = char(scatter_data.WordData(inds(w))); |
| 90 | +end |
| 91 | + |
| 92 | +%-------------------------------------------------------------------------% |
| 93 | + |
| 94 | +%-sent data to plotly-% |
| 95 | +obj.data{scatterIndex}.mode = 'text'; |
| 96 | +obj.data{scatterIndex}.x = xdata(:); |
| 97 | +obj.data{scatterIndex}.y = ydata(:); |
| 98 | +obj.data{scatterIndex}.text = worddata; |
| 99 | +obj.data{scatterIndex}.textfont.size = sizedata; |
| 100 | + |
| 101 | +%-------------------------------------------------------------------------% |
| 102 | + |
| 103 | +%-coloring-% |
| 104 | +is_colormap = size(scatter_data.Color, 1) > 1; |
| 105 | +col = cell(nwords, 1); |
| 106 | + |
| 107 | +if ~is_colormap |
| 108 | + for w=1:nwords |
| 109 | + if B(4) > sizedata(w) |
| 110 | + col{w} = sprintf('rgb(%f,%f,%f)', scatter_data.Color*255); |
| 111 | + else |
| 112 | + col{w} = sprintf('rgb(%f,%f,%f)', scatter_data.HighlightColor*255); |
| 113 | + end |
| 114 | + end |
| 115 | +else |
| 116 | + for w=1:nwords |
| 117 | + col{w} = sprintf('rgb(%f,%f,%f)', scatter_data.Color(inds(w), :)*255); |
| 118 | + end |
| 119 | +end |
| 120 | + |
| 121 | +obj.data{scatterIndex}.textfont.color = col; |
| 122 | + |
| 123 | +%-------------------------------------------------------------------------% |
| 124 | + |
| 125 | +%-det font family-% |
| 126 | +obj.data{scatterIndex}.textfont.family = matlab2plotlyfont(scatter_data.FontName);; |
| 127 | + |
| 128 | +%-------------------------------------------------------------------------% |
| 129 | + |
| 130 | +%-scatter visible-% |
| 131 | +obj.data{scatterIndex}.visible = strcmp(scatter_data.Visible,'on'); |
| 132 | + |
| 133 | +%-------------------------------------------------------------------------% |
| 134 | + |
| 135 | +%-set layout-% |
| 136 | +xaxis.showgrid = false; |
| 137 | +xaxis.showticklabels = false; |
| 138 | +xaxis.zeroline = false; |
| 139 | + |
| 140 | +yaxis.showgrid = false; |
| 141 | +yaxis.showticklabels = false; |
| 142 | +yaxis.zeroline = false; |
| 143 | + |
| 144 | +xo = scatter_data.Position(1); |
| 145 | +yo = scatter_data.Position(2); |
| 146 | +w = scatter_data.Position(3); |
| 147 | +h = scatter_data.Position(4); |
| 148 | + |
| 149 | +xaxis.domain = min([xo xo + w],1); |
| 150 | +yaxis.domain = min([yo yo + h],1); |
| 151 | + |
| 152 | +obj.layout = setfield(obj.layout, sprintf('xaxis%d',xsource), xaxis); |
| 153 | +obj.layout = setfield(obj.layout, sprintf('yaxis%d',ysource), yaxis); |
| 154 | + |
| 155 | +%-------------------------------------------------------------------------% |
| 156 | + |
| 157 | +obj.layout.annotations{1}.xref = 'paper'; |
| 158 | +obj.layout.annotations{1}.yref = 'paper'; |
| 159 | +obj.layout.annotations{1}.showarrow = false; |
| 160 | +obj.layout.annotations{1}.text = sprintf('<b>%s</b>', scatter_data.Title); |
| 161 | +obj.layout.annotations{1}.x = mean(xaxis.domain); |
| 162 | +obj.layout.annotations{1}.y = (yaxis.domain(2) + obj.PlotlyDefaults.TitleHeight); |
| 163 | +obj.layout.annotations{1}.font.color = 'rgb(0,0,0)'; |
| 164 | +obj.layout.annotations{1}.font.size = 15; |
| 165 | + |
| 166 | +end |
| 167 | + |
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