模块'pandas'没有属性'rolling_mean'

Question

我正在尝试构建用于异常检测的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这个

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：回溯（最近一次调用最后一次）：文件“C：\ Program   Files \ Python36 \ lastmainprogram.py“，第74行，in       moving_avg = pd.rolling_mean（ts_log，12）AttributeError：模块'pandas'没有属性'rolling_mean'

Answer 1

我认为需要改变：

moving_avg = pd.rolling_mean(ts_log,12)

为：

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

因为旧的pandas版本代码低于pandas 0.18.0

Answer 2

更改：

moving_avg = pd.rolling_mean(ts_log,12)

收件人：

rolmean = pd.Series(timeseries).rolling(window=12).mean()

rolstd = pd.Series(timeseries).rolling(window=12).std()

Answer 3

更改：

moving_avg = pd.rolling_mean(ts_log,12)

收件人：

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

Answer 4

您将需要在检测中使用它，以便添加。

moving_std = ts_log.rolling(12).std()