262 lines
8.0 KiB
Matlab
262 lines
8.0 KiB
Matlab
% function lineStyles = linspecer(N)
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% This function creates an Nx3 array of N [R B G] colors
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% These can be used to plot lots of lines with distinguishable and nice
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% looking colors.
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%
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% lineStyles = linspecer(N); makes N colors for you to use: lineStyles(ii,:)
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%
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% colormap(linspecer); set your colormap to have easily distinguishable
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% colors and a pleasing aesthetic
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%
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% lineStyles = linspecer(N,'qualitative'); forces the colors to all be distinguishable (up to 12)
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% lineStyles = linspecer(N,'sequential'); forces the colors to vary along a spectrum
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%
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% % Examples demonstrating the colors.
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%
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% LINE COLORS
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% N=6;
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% X = linspace(0,pi*3,1000);
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% Y = bsxfun(@(x,n)sin(x+2*n*pi/N), X.', 1:N);
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% C = linspecer(N);
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% axes('NextPlot','replacechildren', 'ColorOrder',C);
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% plot(X,Y,'linewidth',5)
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% ylim([-1.1 1.1]);
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%
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% SIMPLER LINE COLOR EXAMPLE
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% N = 6; X = linspace(0,pi*3,1000);
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% C = linspecer(N)
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% hold off;
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% for ii=1:N
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% Y = sin(X+2*ii*pi/N);
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% plot(X,Y,'color',C(ii,:),'linewidth',3);
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% hold on;
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% end
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%
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% COLORMAP EXAMPLE
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% A = rand(15);
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% figure; imagesc(A); % default colormap
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% figure; imagesc(A); colormap(linspecer); % linspecer colormap
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%
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% See also NDHIST, NHIST, PLOT, COLORMAP, 43700-cubehelix-colormaps
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% by Jonathan Lansey, March 2009-2013 – Lansey at gmail.com %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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%% credits and where the function came from
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% The colors are largely taken from:
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% http://colorbrewer2.org and Cynthia Brewer, Mark Harrower and The Pennsylvania State University
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%
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%
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% She studied this from a phsychometric perspective and crafted the colors
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% beautifully.
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%
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% I made choices from the many there to decide the nicest once for plotting
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% lines in Matlab. I also made a small change to one of the colors I
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% thought was a bit too bright. In addition some interpolation is going on
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% for the sequential line styles.
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%
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%
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%%
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function lineStyles=linspecer(N,varargin)
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if nargin==0 % return a colormap
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lineStyles = linspecer(128);
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return;
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end
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if ischar(N)
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lineStyles = linspecer(128,N);
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return;
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end
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if N<=0 % its empty, nothing else to do here
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lineStyles=[];
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return;
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end
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% interperet varagin
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qualFlag = 0;
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colorblindFlag = 0;
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if ~isempty(varargin)>0 % you set a parameter?
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switch lower(varargin{1})
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case {'qualitative','qua'}
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if N>12 % go home, you just can't get this.
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warning('qualitiative is not possible for greater than 12 items, please reconsider');
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else
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if N>9
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warning(['Default may be nicer for ' num2str(N) ' for clearer colors use: whitebg(''black''); ']);
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end
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end
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qualFlag = 1;
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case {'sequential','seq'}
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lineStyles = colorm(N);
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return;
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case {'white','whitefade'}
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lineStyles = whiteFade(N);return;
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case 'red'
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lineStyles = whiteFade(N,'red');return;
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case 'blue'
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lineStyles = whiteFade(N,'blue');return;
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case 'green'
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lineStyles = whiteFade(N,'green');return;
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case {'gray','grey'}
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lineStyles = whiteFade(N,'gray');return;
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case {'colorblind'}
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colorblindFlag = 1;
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otherwise
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warning(['parameter ''' varargin{1} ''' not recognized']);
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end
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end
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% *.95
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% predefine some colormaps
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set3 = colorBrew2mat({[141, 211, 199];[ 255, 237, 111];[ 190, 186, 218];[ 251, 128, 114];[ 128, 177, 211];[ 253, 180, 98];[ 179, 222, 105];[ 188, 128, 189];[ 217, 217, 217];[ 204, 235, 197];[ 252, 205, 229];[ 255, 255, 179]}');
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set1JL = brighten(colorBrew2mat({[228, 26, 28];[ 55, 126, 184]; [ 77, 175, 74];[ 255, 127, 0];[ 255, 237, 111]*.85;[ 166, 86, 40];[ 247, 129, 191];[ 153, 153, 153];[ 152, 78, 163]}'));
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set1 = brighten(colorBrew2mat({[ 55, 126, 184]*.85;[228, 26, 28];[ 77, 175, 74];[ 255, 127, 0];[ 152, 78, 163]}),.8);
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% colorblindSet = {[215,25,28];[253,174,97];[171,217,233];[44,123,182]};
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colorblindSet = {[215,25,28];[253,174,97];[171,217,233]*.8;[44,123,182]*.8};
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set3 = dim(set3,.93);
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if colorblindFlag
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switch N
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% sorry about this line folks. kind of legacy here because I used to
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% use individual 1x3 cells instead of nx3 arrays
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case 4
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lineStyles = colorBrew2mat(colorblindSet);
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otherwise
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colorblindFlag = false;
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warning('sorry unsupported colorblind set for this number, using regular types');
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end
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end
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if ~colorblindFlag
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switch N
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case 1
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lineStyles = { [ 55, 126, 184]/255};
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case {2, 3, 4, 5 }
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lineStyles = set1(1:N);
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case {6 , 7, 8, 9}
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lineStyles = set1JL(1:N)';
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case {10, 11, 12}
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if qualFlag % force qualitative graphs
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lineStyles = set3(1:N)';
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else % 10 is a good number to start with the sequential ones.
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lineStyles = cmap2linspecer(colorm(N));
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end
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otherwise % any old case where I need a quick job done.
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lineStyles = cmap2linspecer(colorm(N));
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end
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end
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lineStyles = cell2mat(lineStyles);
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end
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% extra functions
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function varIn = colorBrew2mat(varIn)
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for ii=1:length(varIn) % just divide by 255
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varIn{ii}=varIn{ii}/255;
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end
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end
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function varIn = brighten(varIn,varargin) % increase the brightness
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if isempty(varargin),
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frac = .9;
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else
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frac = varargin{1};
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end
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for ii=1:length(varIn)
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varIn{ii}=varIn{ii}*frac+(1-frac);
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end
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end
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function varIn = dim(varIn,f)
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for ii=1:length(varIn)
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varIn{ii} = f*varIn{ii};
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end
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end
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function vOut = cmap2linspecer(vIn) % changes the format from a double array to a cell array with the right format
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vOut = cell(size(vIn,1),1);
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for ii=1:size(vIn,1)
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vOut{ii} = vIn(ii,:);
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end
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end
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%%
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% colorm returns a colormap which is really good for creating informative
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% heatmap style figures.
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% No particular color stands out and it doesn't do too badly for colorblind people either.
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% It works by interpolating the data from the
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% 'spectral' setting on http://colorbrewer2.org/ set to 11 colors
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% It is modified a little to make the brightest yellow a little less bright.
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function cmap = colorm(varargin)
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n = 100;
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if ~isempty(varargin)
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n = varargin{1};
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end
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if n==1
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cmap = [0.2005 0.5593 0.7380];
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return;
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end
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if n==2
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cmap = [0.2005 0.5593 0.7380;
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0.9684 0.4799 0.2723];
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return;
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end
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frac=.95; % Slight modification from colorbrewer here to make the yellows in the center just a bit darker
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cmapp = [158, 1, 66; 213, 62, 79; 244, 109, 67; 253, 174, 97; 254, 224, 139; 255*frac, 255*frac, 191*frac; 230, 245, 152; 171, 221, 164; 102, 194, 165; 50, 136, 189; 94, 79, 162];
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x = linspace(1,n,size(cmapp,1));
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xi = 1:n;
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cmap = zeros(n,3);
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for ii=1:3
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cmap(:,ii) = pchip(x,cmapp(:,ii),xi);
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end
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cmap = flipud(cmap/255);
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end
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function cmap = whiteFade(varargin)
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n = 100;
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if nargin>0
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n = varargin{1};
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end
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thisColor = 'blue';
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if nargin>1
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thisColor = varargin{2};
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end
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switch thisColor
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case {'gray','grey'}
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cmapp = [255,255,255;240,240,240;217,217,217;189,189,189;150,150,150;115,115,115;82,82,82;37,37,37;0,0,0];
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case 'green'
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cmapp = [247,252,245;229,245,224;199,233,192;161,217,155;116,196,118;65,171,93;35,139,69;0,109,44;0,68,27];
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case 'blue'
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cmapp = [247,251,255;222,235,247;198,219,239;158,202,225;107,174,214;66,146,198;33,113,181;8,81,156;8,48,107];
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case 'red'
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cmapp = [255,245,240;254,224,210;252,187,161;252,146,114;251,106,74;239,59,44;203,24,29;165,15,21;103,0,13];
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otherwise
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warning(['sorry your color argument ' thisColor ' was not recognized']);
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end
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cmap = interpomap(n,cmapp);
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end
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% Eat a approximate colormap, then interpolate the rest of it up.
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function cmap = interpomap(n,cmapp)
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x = linspace(1,n,size(cmapp,1));
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xi = 1:n;
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cmap = zeros(n,3);
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for ii=1:3
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cmap(:,ii) = pchip(x,cmapp(:,ii),xi);
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end
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cmap = (cmap/255); % flipud??
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end
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