Hello Krishna, This is really crazy ploting so many data point, after all the human eye can't separate all the data. Try sampling the vector of the data point - to a smaller extent.
Here's a quick and dirty solution how to sample every nth element in a vector - there's probably a faster way, with out loops, but this works for now $ python Python 2.5.5 (r255:77872, Feb 1 2010, 19:53:42) [GCC 4.4.3] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> from nupmy import arange Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named nupmy >>> from numpy import arange >>> a=arange(1,15) >>> a array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]) >>> from numpy import zeros >>> a_sampled=zeros(5) >>> a_sampled array([ 0., 0., 0., 0., 0.]) >>> range(0,15,5) [0, 5, 10] >>> range(0,15,3) [0, 3, 6, 9, 12] >>> fileter_indecies=range(0,15,3) >>> for i in range(len(a_sampled)): ... a_sampled[i]=a[fileter_indecies[i]] ... >>> a_sampled array([ 1., 4., 7., 10., 13.]) I hope it helps -- Oz Nahum Graduate Student Zentrum für Angewandte Geologie Universität Tübingen --- Imagine there's no countries it isn't hard to do Nothing to kill or die for And no religion too Imagine all the people Living life in peace ------------------------------------------------------------------------------ SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
