PLT.SHOW问题，运行出来是这样，黏在一起了，有啥解决办法呢？

days = 365
dt = 1 / days
mu = ret_df.loc['2018-01-01':'2018-12-31'].mean()['300231.SZ']
sigma = ret_df.std()['300231.SZ']

def stock_monte_carlo(start_price, days, mu, sigma):
    price = np.zeros(days)
    price[0] = start_price
    shock = np.zeros(days)
    drift = np.zeros(days)
    for x in range(1, days):
        shock[x] = np.random.normal(loc=mu * dt, scale=sigma * np.sqrt(dt))
        drift[x] = mu * dt
        price[x] = price[x - 1] + (price[x - 1] * (drift[x] + shock[x]))
    return price

start_price = yx_df['close'][-1]

for run in range(100):
    plt.plot(stock_monte_carlo(start_price, days, mu, sigma))
plt.xlabel("Days")
plt.ylabel("Price")
plt.title('Monte Carlo Analysis for 300231.SZ')
plt.savefig(r'D:\mcmc\AA\300231.SZ.png')
plt.show()

运行出来是这样，有啥解决办法呢？

只能说数据的分布就有问题, 试试看能不能做归一化之类的操作把它的分布拉到居中的位置