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
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?
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