def peaks(signal, tol=None):
    """ This function detects all the peaks of a signal and returns those time
    positions. To reduce the amount of peaks detected, a threshold is
    introduced so only the peaks above that value are considered.

    Parameters
    ----------
    x: array-like
     the signal with the peaks to detect.
    tol: int
      the threshold used to limit the peak detection. in case none is given,
      the value used is the minimum of the signal (detection of peaks in all
      signal)

    Returns
    -------
    peaks: array-like
      the time sample where the peak occurs.

    Example
    -------
    >>> peaks([1,2,4,3,2,5,7,7,4,9,2])
    array([2, 9])
    >>> peaks([1,2,-4,-3,-5,4,5])
    array([1, 3])
    >>> peaks([1,-4,-3,4,5],0)
    array([], dtype=int32)
    """

    if (tol is None):
        tol = min(signal)
    pks = argrelmax(clip(signal, tol, signal.max()))
    return pks[0]
def peaks ( signal , tol = None ) : if ( tol is None ) : tol = min ( signal ) pks = argrelmax ( clip ( signal , tol , signal . max ( ) ) ) return pks [ 0 ]
This function detects all the peaks of a signal and returns those time
    positions. To reduce the amount of peaks detected, a threshold is
    introduced so only the peaks above that value are considered.

    Parameters
    ----------
    x: array-like
     the signal with the peaks to detect.
    tol: int
      the threshold used to limit the peak detection. in case none is given,
      the value used is the minimum of the signal (detection of peaks in all
      signal)

    Returns
    -------
    peaks: array-like
      the time sample where the peak occurs.

    Example
    -------
    >>> peaks([1,2,4,3,2,5,7,7,4,9,2])
    array([2, 9])
    >>> peaks([1,2,-4,-3,-5,4,5])
    array([1, 3])
    >>> peaks([1,-4,-3,4,5],0)
    array([], dtype=int32)