问如何创建具有统计分析的移动平均函数？

EN

def adf(ts):

# Determing rolling statistics
rolmean = pd.rolling_mean(ts, window=12)
rolstd = pd.rolling_std(ts, window=12)
#Plot rolling statistics:
orig = plt.plot(ts, color='blue',label='Original')
mean = plt.plot(rolmean, color='red', label='Rolling Mean')
std = plt.plot(rolstd, color='black', label = 'Rolling Std')
plt.legend(loc='best')
plt.title('Rolling Mean & Standard Deviation')
plt.show(block=False)

# Calculate ADF factors
adftest = adfuller(ts, autolag='AIC')
adfoutput = pd.Series(adftest[0:4], index=['Test Statistic','p-value','# of Lags Used',
                                          'Number of Observations Used'])
for key,value in adftest[4].items():
    adfoutput['Critical Value (%s)'%key] = value
return adfoutput**

df['priceModLogMA12'] = pd.rolling_mean(df.priceModLog, window = 5)**
AttributeError: module 'pandas' has no attribute 'rolling_mean'