Finding local maxima/minima with Numpy in a 1D numpy array

Question

Can you suggest a module function from numpy/scipy that can find local maxima/minima in a 1D numpy array? Obviously the simplest approach ever is to have a look at the neare

Answer 1

Another one:

def local_maxima_mask(vec):
    """
    Get a mask of all points in vec which are local maxima
    :param vec: A real-valued vector
    :return: A boolean mask of the same size where True elements correspond to maxima. 
    """
    mask = np.zeros(vec.shape, dtype=np.bool)
    greater_than_the_last = np.diff(vec)>0  # N-1
    mask[1:] = greater_than_the_last
    mask[:-1] &= ~greater_than_the_last
    return mask