"robert" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] > erikcw wrote: >> Hi all, >> >> I have a collection of ordered numerical data in a list. The numbers >> when plotted on a line chart make a low-high-low-high-high-low (random) >> pattern. I need an algorithm to extract the "significant" high and low >> points from this data. >> >> Here is some sample data: >> data = [0.10, 0.50, 0.60, 0.40, 0.39, 0.50, 1.00, 0.80, 0.60, 1.20, >> 1.10, 1.30, 1.40, 1.50, 1.05, 1.20, 0.90, 0.70, 0.80, 0.40, 0.45, 0.35, >> 0.10] >> >> In this data, some of the significant points include: >> data[0] >> data[2] >> data[4] >> data[6] >> data[8] >> data[9] >> data[13] >> data[14] >> .... >> >> How do I sort through this data and pull out these points of >> significance?
Using zip and map, it's easy to compute first and second derivatives of a time series of values. The first lambda computes -- http://mail.python.org/mailman/listinfo/python-list
