Calculate the relative minima of `data`.

    .. versionadded:: 0.11.0

    Parameters
    ----------
    data : ndarray
        Array in which to find the relative minima.
    axis : int, optional
        Axis over which to select from `data`.  Default is 0.
    order : int, optional
        How many points on each side to use for the comparison
        to consider ``comparator(n, n+x)`` to be True.
    mode : str, optional
        How the edges of the vector are treated.
        Available options are 'wrap' (wrap around) or 'clip' (treat overflow
        as the same as the last (or first) element).
        Default 'clip'. See numpy.take

    Returns
    -------
    extrema : ndarray
        Indices of the minima, as an array of integers.

    See also
    --------
    argrelextrema, argrelmax

    Notes
    -----
    This function uses `argrelextrema` with np.less as comparator.

def argrelmin(data, axis=0, order=1, mode='clip'):
    """
    Calculate the relative minima of `data`.

    .. versionadded:: 0.11.0

    Parameters
    ----------
    data : ndarray
        Array in which to find the relative minima.
    axis : int, optional
        Axis over which to select from `data`.  Default is 0.
    order : int, optional
        How many points on each side to use for the comparison
        to consider ``comparator(n, n+x)`` to be True.
    mode : str, optional
        How the edges of the vector are treated.
        Available options are 'wrap' (wrap around) or 'clip' (treat overflow
        as the same as the last (or first) element).
        Default 'clip'. See numpy.take

    Returns
    -------
    extrema : ndarray
        Indices of the minima, as an array of integers.

    See also
    --------
    argrelextrema, argrelmax

    Notes
    -----
    This function uses `argrelextrema` with np.less as comparator.

    """
    return argrelextrema(data, np.less, axis, order, mode)