what are you using right now, something like that? >>> a = np.random.random(70) >>> x = np.empty([10,a.shape[0]]) >>> x[:,:] = a >>> pl.contourf(x)
you might want to suppress ticks on the y-axis. best regards, yoshi ------------------------------------------------------------------------------ 5 Ways to Improve & Secure Unified Communications Unified Communications promises greater efficiencies for business. UC can improve internal communications as well as offer faster, more efficient ways to interact with customers and streamline customer service. Learn more! http://www.accelacomm.com/jaw/sfnl/114/51426253/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
