stats.py 文件源码

def summarize_bootstrapped_top_n(top_n_boot):
    top_n_bcs_mean = np.mean(top_n_boot)
    top_n_bcs_sd = np.std(top_n_boot)
    top_n_bcs_var = np.var(top_n_boot)
    result = {}
    result['filtered_bcs_var'] = top_n_bcs_var
    result['filtered_bcs_cv'] = tk_stats.robust_divide(top_n_bcs_sd, top_n_bcs_mean)
    result['filtered_bcs_lb'] = round(scipy.stats.norm.ppf(0.025, top_n_bcs_mean, top_n_bcs_sd))
    result['filtered_bcs_ub'] = round(scipy.stats.norm.ppf(0.975, top_n_bcs_mean, top_n_bcs_sd))
    result['filtered_bcs'] = round(top_n_bcs_mean)
    return result