I am looking to find the peaks in some gaussian smoothed data that I have. I have looked at some of the peak detection methods available but they require an input range over
>> import numpy as np
>> from scipy.signal import argrelextrema
>> a = np.array([1,2,3,4,5,4,3,2,1,2,3,2,1,2,3,4,5,6,5,4,3,2,1])
>> argrelextrema(a, np.greater)
array([ 4, 10, 17]),)
>> a[argrelextrema(a, np.greater)]
array([5, 3, 6])
If your input represents a noisy distribution, you can try smoothing it with NumPy convolve function.