Or make a stairstep, if each time has a finite duration. like the following (though I am sure there are some inelegant code in there.
data = np.arange(10) mask = [0,0,0,1,1,0,1,0,0,0] x = np.ma.masked_array(data, mask) t = arange(-0.5,shape(x)[0]-0.5,1.) xx=ma.zeros((2,10)) xx[0,:]=x xx[1,:]=x tt=0.*xx tt[0,:]=t tt[1,:]=t+0.9999999 tt=reshape(tt,(20),order='F') xx=reshape(xx,(20),order='F') plot(tt,xx) On Jul 17, 2013, at 7:45 AM, Gregorio Bastardo <gregorio.basta...@gmail.com> wrote: > Hi, > > The following example demonstrates the problem, value 5 could not be > seen w/o marker: > > data = np.arange(10) > mask = [0,0,0,1,1,0,1,0,0,0] > x = np.ma.masked_array(data, mask) > plot(x) > plot(x, '+') > > In my datasets, isolated unmasked values are rare, but placing a > marker to spot them makes the whole graph cluttered. I do realize that > at least 2 valid points are needed for a line segment, but still, is > there any way to visualize these isolated unmasked values w/o a > marker? > > Thanks, > Gregorio > > ------------------------------------------------------------------------------ > See everything from the browser to the database with AppDynamics > Get end-to-end visibility with application monitoring from AppDynamics > Isolate bottlenecks and diagnose root cause in seconds. > Start your free trial of AppDynamics Pro today! > http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/ ------------------------------------------------------------------------------ See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users