Hi, This is more a coding/algorithm question than a straight matplotlib question.
I have x and y data based on a parameter k. x and y have noise, so that even though k increases monotonically neither x nor y are guaranteed to do so. x can have duplicates. I need to find the area under the curve x,y (You may have guessed, x is false alarms, y is hit rate, and this is the ROC) What I'm doing is rather cumbersome. I first sort x (shuffling y accordingly) Then I crawl through x discarding the duplicates. Only then does interp give me reasonable values which I then use for finding the area under the curve. Is there a function in matplotlib that handles cases like this? Thanks! -K ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
