我正在尝试建立一个ARIMA进行异常检测。我需要找到时间序列图的移动平均值，为此我尝试使用pandas 0.23

import pandas as pd
import numpy as np
from statsmodels.tsa.stattools import adfuller
import matplotlib.pylab as plt
from matplotlib.pylab import rcParams
rcParams['figure.figsize'] = 15, 6

dateparse = lambda dates: pd.datetime.strptime(dates, '%Y-%m')
data = pd.read_csv('AirPassengers.csv', parse_dates=['Month'], index_col='Month',date_parser=dateparse)

data.index
ts = data['#Passengers']
ts.head(10)

plt.plot(ts)
ts_log = np.log(ts)
plt.plot(ts_log)
moving_avg = pd.rolling_mean(ts_log,12)  # here is the error

pd.rolling_mean  
plt.plot(ts_log)
plt.plot(moving_avg, color='red')

错误：跟踪（最近一次调用最近）：文件“ C：\ Program Files \ Python36 \
lastmainprogram.py”，行74，在moving_avg =
pd.rolling_mean（ts_log，12）中AttributeError：模块’pandas’没有属性’rolling_mean ‘