I would like to plot a masked array with plot_surface(). But unlike imshow() which really plots the masked data, plot_surface() only plots the non-masked data.
How can I plot the masked array? Ciao Andreas import numpy as np import pylab as mpl from mpl_toolkits.mplot3d import axes3d x = np.arange(1,10,1) y = np.arange(1,10,1) x,y = np.meshgrid(x,y) z = x**3 + y**3 - 500 z = np.ma.masked_array(z, z<0) cm = mpl.cm.jet ax1 = mpl.subplot(1,2,1, projection='3d') ax1.plot_surface(x,y,z, rstride=1, cstride=1, linewidth=0, cmap=cm) ax2 = mpl.subplot(1,2,2) ax2.imshow(z, cmap=cm) mpl.show() ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users