bluewhitered.m

function newmap = bluewhitered(m)
%BLUEWHITERED   Blue, white, and red color map.
%   BLUEWHITERED(M) returns an M-by-3 matrix containing a blue to white
%   to red colormap, with white corresponding to the CAXIS value closest
%   to zero.  This colormap is most useful for images and surface plots
%   with positive and negative values.  BLUEWHITERED, by itself, is the
%   same length as the current colormap.
%
%   Examples:
%   ------------------------------
%   figure
%   imagesc(peaks(250));
%   colormap(bluewhitered(256)), colorbar
%
%   figure
%   imagesc(peaks(250), [0 8])
%   colormap(bluewhitered), colorbar
%
%   figure
%   imagesc(peaks(250), [-6 0])
%   colormap(bluewhitered), colorbar
%
%   figure
%   surf(peaks)
%   colormap(bluewhitered)
%   axis tight
%
%   See also HSV, HOT, COOL, BONE, COPPER, PINK, FLAG, 
%   COLORMAP, RGBPLOT.
if nargin < 1
   m = size(get(gcf,'colormap'),1);
end
bottom = [0 0 0.5];
botmiddle = [0 0.5 1];
middle = [1 1 1];
topmiddle = [1 0 0];
top = [0.5 0 0];
% Find middle
lims = get(gca, 'CLim');
% Find ratio of negative to positive
if (lims(1) < 0) & (lims(2) > 0)
    % It has both negative and positive
    % Find ratio of negative to positive
    ratio = abs(lims(1)) / (abs(lims(1)) + lims(2));
    neglen = round(m*ratio);
    poslen = m - neglen;
    
    % Just negative
    new = [bottom; botmiddle; middle];
    len = length(new);
    oldsteps = linspace(0, 1, len);
    newsteps = linspace(0, 1, neglen);
    newmap1 = zeros(neglen, 3);
    
    for i=1:3
        % Interpolate over RGB spaces of colormap
        newmap1(:,i) = min(max(interp1(oldsteps, new(:,i), newsteps)', 0), 1);
    end
    
    % Just positive
    new = [middle; topmiddle; top];
    len = length(new);
    oldsteps = linspace(0, 1, len);
    newsteps = linspace(0, 1, poslen);
    newmap = zeros(poslen, 3);
    
    for i=1:3
        % Interpolate over RGB spaces of colormap
        newmap(:,i) = min(max(interp1(oldsteps, new(:,i), newsteps)', 0), 1);
    end
    
    % And put 'em together
    newmap = [newmap1; newmap];
    
elseif lims(1) >= 0
    % Just positive
    new = [middle; topmiddle; top];
    len = length(new);
    oldsteps = linspace(0, 1, len);
    newsteps = linspace(0, 1, m);
    newmap = zeros(m, 3);
    
    for i=1:3
        % Interpolate over RGB spaces of colormap
        newmap(:,i) = min(max(interp1(oldsteps, new(:,i), newsteps)', 0), 1);
    end
    
else
    % Just negative
    new = [bottom; botmiddle; middle];
    len = length(new);
    oldsteps = linspace(0, 1, len);
    newsteps = linspace(0, 1, m);
    newmap = zeros(m, 3);
    
    for i=1:3
        % Interpolate over RGB spaces of colormap
        newmap(:,i) = min(max(interp1(oldsteps, new(:,i), newsteps)', 0), 1);
    end
    
end