train.py 文件源码

def display_distrib(pd, feature):
    plt.figure()
    sns.distplot(pd[feature].dropna() , fit=norm);
    (mu, sigma) = norm.fit(pd[feature].dropna())    

    plt.legend(['Normal dist. ($\mu=$ {:.2f} and $\sigma=$ {:.2f} )'.format(mu, sigma)], loc='best')
    plt.ylabel('Frequency')
    plt.title('SalePrice distribution')
    plt.show()