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我就廢話不多說了，直接上代碼吧！

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# -*- coding: utf-8 -*-
"""
Created on Thu Jun 22 17:03:16 2017
@author: yunjinqi 
 
E-mail:yunjinqi@qq.com 
 
Differentiate yourself in the world from anyone else.
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.tsa.stattools as ts
import statsmodels.api as sm
from statsmodels.graphics.api import qqplot
from statsmodels.sandbox.stats.runs import runstest_1samp
import scipy.stats as sts 
 
namelist=['cu','al','zn','pb','sn','au','ag','rb','hc','bu','ru','m9','y9','a9',
    'p9','c9','cs','jd','l9','v9','pp','j9','jm','i9','sr','cf',
    'zc','fg','ta','ma','oi','rm','sm']
j=0
for i in namelist:
 
 filename='C:/Users/HXWD/Desktop/數(shù)據(jù)/'+i+'.csv'
 data=pd.read_csv(filename,encoding='gbk')
 data.columns=['date','open','high','low','close','amt','opi']
 data.head()
 data=np.log(data['close'])
 r=data-data.shift(1)
 r=r.dropna()
 #print(r)
 rate = np.array(list(r))
 print('品種{}數(shù)據(jù)長度{}均值{}標(biāo)準(zhǔn)差{}方差{}偏度{}峰度{}'.format(i,len(rate),
   rate.mean(),rate.std(),rate.var(),sts.skew(rate),
   sts.kurtosis(rate)))

當(dāng)前題目：python實現(xiàn)檢驗33品種數(shù)據(jù)是否是正態(tài)分布-創(chuàng)新互聯(lián)
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