python – 模块’pandas’没有属性’rolling_mean’

我正在尝试构建一个用于异常检测的ARIMA.我需要找到时间序列图的移动平均线我试图使用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') 

error:Traceback (most recent call last): File “C:\Program
Files\python36\lastmainprogram.py”, line 74, in
moving_avg = pd.rolling_mean(ts_log,12) AttributeError: module ‘pandas’ has no attribute ‘rolling_mean’

解决方法:

我认为需要改变：

moving_avg = pd.rolling_mean(ts_log,12)

至：

moving_avg = ts_log.rolling(12).mean()

因为老熊猫的版本代码低于pandas 0.18.0