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? Thanks for your help! Erik -- http://mail.python.org/mailman/listinfo/python-list
