Simple peak detection library for Python based on Billauer's work and this gist. If you can improve this project, feel free to contribute.
Pip:
$ pip install peakdetect
Clone repository:
$ git clone https://github.com/avhn/peakdetect
$ python peakdetect/setup.py install
Requirements: numpy and scipy. Setup installs requirements itself.
Example usage:
>>> import peakdetect
>>> peaks = peakdetect.peakdetect(y_axis, x_axis, lookahead, delta)Documentation on peakdetect function, keyword arguments:
y_axis -- A list containing the signal over which to find peaks
x_axis -- A x-axis whose values correspond to the y_axis list and is used
in the return to specify the position of the peaks. If omitted an
index of the y_axis is used.
(default: None)
lookahead -- distance to look ahead from a peak candidate to determine if
it is the actual peak
(default: 200)
'(samples / period) / f' where '4 >= f >= 1.25' might be a good value
delta -- this specifies a minimum difference between a peak and
the following points, before a peak may be considered a peak. Useful
to hinder the function from picking up false peaks towards to end of
the signal. To work well delta should be set to delta >= RMSnoise * 5.
(default: 0)
When omitted delta function causes a 20% decrease in speed.
When used Correctly it can double the speed of the function