Thanks again! That looks cool and seems that it can be used it to a lot of other projects I have going on!
Anton efiring wrote: > > antonv wrote: >> Thanks for the quick reply John! Now it makes a lot more sense. The next >> dumb >> question is what is SVN and where can I find more bout it? > > http://sourceforge.net/svn/?group_id=80706 > http://subversion.tigris.org/ > > Eric > >> >> >> John Hunter-4 wrote: >>> On Fri, Jan 16, 2009 at 10:33 AM, antonv <vasilescu_an...@yahoo.com> >>> wrote: >>>> I have a series of 18 separate colors to create my cmap but I would >>>> like >>>> to >>>> convert that to a continuous map which interpolates all the other >>>> values >>>> in >>>> between my chosen colors. This should be really easy but I am not sure >>>> how >>>> can it be solved. Any ideas? >>> Although the logic of the LinearSegmentedColormap takes some time to >>> get your head around, it is pretty easy. >>> >>> >>> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap >>> >>> >>> Here is an example: >>> >>> import numpy as np >>> import matplotlib.pyplot as plt >>> import matplotlib.colors as mcolors >>> import matplotlib.cm as cm >>> colors = 'red', 'green', 'blue', 'yellow', 'orange' >>> >>> ncolors = len(colors) >>> >>> vals = np.linspace(0., 1., ncolors) >>> >>> cdict = dict(red=[], green=[], blue=[]) >>> for val, color in zip(vals, colors): >>> r,g,b = mcolors.colorConverter.to_rgb(color) >>> cdict['red'].append((val, r, r)) >>> cdict['green'].append((val, g, g)) >>> cdict['blue'].append((val, b, b)) >>> >>> cmap = mcolors.LinearSegmentedColormap('mycolors', cdict) >>> >>> >>> x = np.arange(10000.).reshape((100,100)) >>> >>> plt.imshow(x, cmap=cmap) >>> >>> plt.show() >>> >>> See also >>> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html. >>> I just added a function to svn to support this, so with svn you can >>> do >>> >>> >>> colors = 'red', 'gray', 'green' >>> cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors) >>> X, Y = np.meshgrid(np.arange(10), np.arange(10)) >>> plt.imshow(X+Y, cmap=cmap) >>> >>> JDH >>> >>> ------------------------------------------------------------------------------ >>> This SF.net email is sponsored by: >>> SourcForge Community >>> SourceForge wants to tell your story. >>> http://p.sf.net/sfu/sf-spreadtheword >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >>> >> > > > ------------------------------------------------------------------------------ > This SF.net email is sponsored by: > SourcForge Community > SourceForge wants to tell your story. > http://p.sf.net/sfu/sf-spreadtheword > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://www.nabble.com/cmap-from-sepparate-color-values-tp21503197p21513073.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
