[SciPy-User] Replace duplicates in a monotonically increasing array with linearly interpolated values.
Fri Sep 10 13:26:46 CDT 2010
I have an monotonically increasing array with duplicates in it. e.g.
x = np.array([1.0,1.0,1.0,2.0,2.0,3.0,3.0,3.0,4.0,4.0,5.0,5.0,5.0,5.0,6.0])
I need a new array of the same size with linearly interpolated values i.e something like
np.array([1.0, 1.33, 1.67, 2.0, 2.5, 3.0, 3.33, 3.67, 4.0, 4.5, 5.0, 5.25, 5.5, 5.75, 6.0])
Is there an efficient way to do this. Right now I'm looping through the array and maintaining position flags of when the value changes and then doing linear interpolation between the start and end flags before resetting the flags moving to the next section. This is pretty slow.
I realize there will be a problem on how to deal with duplicates at the end of the array.
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