Hello, I am looking for some pointers that will hopefully get me a round an issue I have hit.
I have a timeseries of river flow and would like to carry out some analysis on the recession periods. That is anytime the values are decreasing. I would like to restrict (mask) my data to any values that are in a continuous sequence of 3 or more (in the example below), that are decreasing in value. Hopefully this example helps: import numpy as np Flow = np.array([15.4,20.5,19.4,18.7,18.6,35.5,34.8,25.1,26.7]) FlowDiff = np.diff(Flow) boolFlowdiff = FlowDiff>0 MaskFlow = np.ma.masked_array(Flow[1:],boolFlowdiff) print MaskFlow [-- 19.4 18.7 18.6 -- 34.8 25.1 --] The output I would like is [-- 19.4 18.7 18.6 -- -- -- --] Where the second groups is blanked because the sequence only has 2 members. thanks for your time, bevan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
