On Sunday 10 February 2008 12:40:38 David Trémouilles wrote: > I have a slightly different objective: I just want to remove outliers > from my curves. I think I will still play with maskedarray and used the > compressed() function before 'sending' to matplotlib. > Any comments on that, any other idea?
So, you have two arrays x and y, with missing values in y that you don't want to plot ? Assuming that your arrays are 1D, you can try something like: plot(x[logical_not(y.mask)], y.compressed()) in order to ensure that the x and y to be plotted have the same size. Note that in this simple case, you don't need masked arrays, you just want to plot point satisfying a given condition, right ? So: condition = (y>=min_value) & (y<= max_value) plot(x[condition],y[condition]) will give the same results. ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
