dc_stat_think.py 文件源码

def _draw_bs_reps_mean(data, size=1):
    """
    Generate bootstrap replicates of the mean out of `data`.

    Parameters
    ----------
    data : array_like
        One-dimensional array of data.
    size : int, default 1
        Number of bootstrap replicates to generate.

    Returns
    -------
    output : float
        Bootstrap replicates of the mean computed from `data`.
    """
    # Set up output array
    bs_reps = np.empty(size)

    # Draw replicates
    n = len(data)
    for i in range(size):
        bs_reps[i] = np.mean(np.random.choice(data, size=n))

    return bs_reps