Hi, I'm trying to modify the imshow colormapping on the flight:
http://matplotlib.sourceforge.net/api/colors_api.html?highlight=linearsegmentedcolormap#matplotlib.colors.Normalize "Colormapping typically involves two steps: a data array is first mapped onto the range 0-1 using an instance of Normalize <http://matplotlib.sourceforge.net/api/colors_api.html?highlight=linearsegmentedcolormap#matplotlib.colors.Normalize> or of a subclass; then this number in the 0-1 range is mapped to a color using an instance of a subclass of Colormap <http://matplotlib.sourceforge.net/api/colors_api.html?highlight=linearsegmentedcolormap#matplotlib.colors.Colormap>" How should I modify the way "data array is first mapped onto the range 0-1"? I would like to map all the values <T1 to 0, all the values>T1 to 1 and use an affine function to map all the others values into ]0,1[. In a more generic way, how should I modify the way the normalization step is <http://matplotlib.sourceforge.net/api/colors_api.html?highlight=linearsegmentedcolormap#matplotlib.colors.Normalize> performed? I could modify the values to be displayed but it is ugly. It is easy to modify the values of the second step of Colormapping: from pylab import * from numpy import * def G(i,j): return exp(-((i-100)**2+(j-100)**2)/50.) def cmap_xmap(function,cmapInput): cdict = cmapInput._segmentdata.copy() function_to_map = lambda x : (function(x[0]), x[1], x[2]) for key in ('red','green','blue'): cdict[key] = map(function_to_map, cdict[key]) cdict[key].sort() return matplotlib.colors.LinearSegmentedColormap('MyMap',cdict,1024) A=fromfunction(G,(200,200)) imshow(A,cmap=cmap_xmap(lambda x:x**60,get_cmap("hot"))) but it does no help. Xavier ------------------------------------------------------------------------------ OpenSolaris 2009.06 is a cutting edge operating system for enterprises looking to deploy the next generation of Solaris that includes the latest innovations from Sun and the OpenSource community. Download a copy and enjoy capabilities such as Networking, Storage and Virtualization. Go to: http://p.sf.net/sfu/opensolaris-get _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
