From: sordnay <sordnay@gm...>  20080620 23:58:50

Hi all, I'm trying to plot in 2D, 3 variables from time series, instead of volume I want color for the third variable. I have partial success with a scatter plot, but I'm unable to manage the colorbar so it represents z values, I needed to sort the variables and it's getting a bit ugly, so I though I might be missing some other function ? this is what I used: pylab.figure() x=self.stData[items[0]] y=self.stData[items[1]] z=self.stData[items[2]] points=zip(x,y) points3=sorted(zip(z,points)) for i,p in enumerate(points3): z[i]=p[0] x[i]=p[1][0] y[i]=p[1][1] #colors=pylab.linspace(z.min(),z.max(),len(z)) did not work colors=pylab.linspace(0,1,len(z)) pylab.scatter(x,y,c=colors,faceted=False) pylab.colorbar() pylab.show() but even if I could get the colorbar ticks to represent z values, in fact this is not correct as this gives every point "one" color, and this is not correct...  View this message in context: http://www.nabble.com/colorxyplottp18038983p18038983.html Sent from the matplotlib  users mailing list archive at Nabble.com. 