Eric Firing wrote: It occurred to me after posting that imshow by default gives a misleading picture of the effect of the cmap and boundary norm. To get a clear picture, add the "interpolation='nearest'" kwarg to the imshow call.
Eric > > import numpy as np > import matplotlib.pyplot as plt > import matplotlib.colors as mcolors > import matplotlib.cm as cm > > > boundaries = np.linspace(20, 30, 11) > colors = cm.spectral(np.linspace(0.3, 0.8, 10)) > cmap = mcolors.ListedColormap(colors) > norm = mcolors.BoundaryNorm(boundaries, cmap.N) > > z = 20 + np.random.rand(10,20)*10 > plt.imshow(z, cmap=cmap, norm=norm) > plt.colorbar() > plt.show() > ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
