Python_Statsmodels包_时间序列分析_ARIMA模型

以前都是用SPSS/EVIEWS等来做的，现在用Python来搞搞看，前后弄了一个星期，总算基本走通了。

基础库： pandas,numpy,scipy,matplotlib,statsmodels ：

from __future__ import print_function
import pandas as pd
import numpy as np
from scipy import  stats
import matplotlib.pyplot as plt
import statsmodels.api as sm

from statsmodels.graphics.api import qqplot

运行的时候会报错：Undefined variable from import:，不过好像不影响结果

1.数据：

dta=[10930,10318,10595,10972,7706,6756,9092,10551,9722,10913,11151,8186,6422, 
6337,11649,11652,10310,12043,7937,6476,9662,9570,9981,9331,9449,6773,6304,9355, 
10477,10148,10395,11261,8713,7299,10424,10795,11069,11602,11427,9095,7707,10767, 
12136,12812,12006,12528,10329,7818,11719,11683,12603,11495,13670,11337,10232, 
13261,13230,15535,16837,19598,14823,11622,19391,18177,19994,14723,15694,13248, 
9543,12872,1310

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原文链接：wenyusuran.blog.csdn.net/article/details/82143978