`.indexes` does not seem to work for `float64` types

[Former user]

Hi, I am trying to detect peaks in a simple dataset. the .indexes method returns blank list for the dataset when I convert it into numpy's float64 datatype, but works when the data is converted to int.

To replicate the issue:

col = [u'2161', u'183', u'167', u'270', u'164', u'475', u'327', u'279', u'0', 
       u'183', u'360', u'81', u'81', u'81', u'81', u'45', u'81', u'0', u'81', u'81']

import numpy as np
y1 = np.atleast_1d(col).astype('float64')
y2 = np.atleast_1d(col).astype('int')

import peakutils as pu
peaks1 = pu.indexes(y1)
peaks2 = pu.indexes(y2)

print "peaks1:", peaks1, "peaks2: ", peaks2

Result:

peaks1: [] peaks2:  [ 3  5 10 16]

Is there something obvious I am missing. Any help would be great.

[Lucas Hermann Negri]

Hi,

This is due to the threshold parameter. The first value is 2161, so the default threshold is 2161*0.3. Anything below it is not considered as peaks. If you pass thres=0.01, the peaks will be found.

However, I can't replicate this output. It shows [] and [] here (both Python 2 and 3). I think you are running and old version that couldn't handle int value properly.

[Lucas Hermann Negri]

Doesn't shows on git HEAD.