acoustic_stats.py 文件源码

def fit_lm(y):   
    x = np.array(range(len(y)))
    gradient, intercept, r_value, p_value, std_err = stats.linregress(x,y)
    fit_line = [(x_val * gradient) + intercept for x_val in x]
    return gradient, intercept, r_value, p_value, std_err, fit_line