From: Virgil Stokes <vs@it...>  20110325 23:46:05

I have used the following code (taken from a matplotlib example) to produce a 3D plot of planar polygons, from mpl_toolkits.mplot3d import Axes3D from matplotlib.collections import PolyCollection from matplotlib.colors import colorConverter import matplotlib.pyplot as plt import numpy as np np.random.seed(40040157) # Used to allow repeatable experiments (plots) fig = plt.figure() ax = fig.gca(projection='3d') cc = [colorConverter.to_rgba(c,alpha=0.6) for c in ('r','g','b','c','y','m','k')] ncc = len(cc) nxs = 5 xs = np.arange(1, nxs+1, 1) # (X's) # Add boundary X's xs = np.insert(xs,0,1); xs = np.append(xs,nxs) # Create array for Z's ys = np.zeros(len(xs)) # Create list for all Y's npolys = 9 zs = [zs+1 for zs in range(npolys)] # Y coordinates (list of integers) # Create list of colors (cyclic) for all polygons colorlist = [cc[j%ncc] for j in range(npolys)] verts = [] # Generate vertices for polygons for j in zs: # loop on polys ys = np.random.rand(len(ys)) ys[0], ys[1] = 0,0 # end points for filled polygons (1,0),(n,0) verts.append(zip(xs, ys)) poly = PolyCollection(verts, facecolors = colorlist) poly.set_alpha(0.7) ax.add_collection3d(poly, zs=zs, zdir='y') # Righthanded coordinate system ax.set_xlabel('X') # points to right (X) ax.set_xlim3d(0, nxs+1) ax.set_ylabel('Y') # points into screen (Y) ax.set_ylim3d(0, npolys+1) ax.set_zlabel('Z') # points up (Z) ax.set_zlim3d(0, 1) plt.show() and this works fine. I then tried to produce a 3D plot of the same form as this one,*but with only the top of the polygons plotted* (4 connected line segments for each of the 9 polygons). I thought this would be easily accomplished, by replacing PolyCollection with LineCollection. However, I have been unable to produce a 3D plot for line segments connecting the tops of the polygons. Note, I am using Python 2.6.6, numpy 1.5.1, and matplotlib 1.0.1. Any help on producing 3D line segment plot would be appreciated. 