[Matplotlib-users] Masks From: David Arnold - 2010-02-18 02:34:18 ```All, In the code on: http://matplotlib.sourceforge.net/examples/api/bbox_intersect.html I think I've figured out that: vertices = (np.random.random((4, 2))-0.5)*6.0 vertices = np.ma.masked_array(vertices, [[False, False], [True, True], [False, False], [False, False]]) prevents the second of four random vertices from being used. But I'm not sure why plot(vertices[:, 0], vertices[:, 1], color=color) seems to connect only two points for a line segment. Can someone explain? D. ```

 [Matplotlib-users] Masks From: David Arnold - 2010-02-18 02:34:18 ```All, In the code on: http://matplotlib.sourceforge.net/examples/api/bbox_intersect.html I think I've figured out that: vertices = (np.random.random((4, 2))-0.5)*6.0 vertices = np.ma.masked_array(vertices, [[False, False], [True, True], [False, False], [False, False]]) prevents the second of four random vertices from being used. But I'm not sure why plot(vertices[:, 0], vertices[:, 1], color=color) seems to connect only two points for a line segment. Can someone explain? D. ```
 Re: [Matplotlib-users] Masks From: Eric Firing - 2010-02-18 18:21:05 ```David Arnold wrote: > All, > > In the code on: > > http://matplotlib.sourceforge.net/examples/api/bbox_intersect.html > > I think I've figured out that: > > vertices = (np.random.random((4, 2))-0.5)*6.0 > vertices = np.ma.masked_array(vertices, [[False, False], [True, True], [False, False], [False, False]]) > > prevents the second of four random vertices from being used. But I'm not sure why > > plot(vertices[:, 0], vertices[:, 1], color=color) > > seems to connect only two points for a line segment. A missing point is a gap in the line, by design. If you use markers, 3 points will be plotted, but there are only two adjacent points, so only one line segment. Eric > > Can someone explain? > > D. > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ```