#检验正态分布
EDate=”20200624″
from scipy.stats import kstest
from scipy.stats import shapiro
from scipy.stats import normaltest
data=DataAPI.MktIdxdGet(indexID=u””,ticker=u”000001″,tradeDate=u””,beginDate=u”20000101″,endDate=EDate,
exchangeCD=u”XSHE,XSHG”,field=u”closeIndex”,pandas=”1″)
d={‘mean’:([np.mean(data.closeIndex)]),’median’:([np.median(data.closeIndex)]),’std’:([np.std(data.closeIndex)])}
jg=pd.DataFrame(d)
data1=[1,1,1,3,2,0,0,0,0,0,0,2]
data1
data2=data.values.tolist()
data2
#mean=jg[‘mean’]
#std=jg[‘std’]
kstest(data2,’norm’)
#shapiro(data2)
#normaltest(data1,axis=0,nan_policy=’propagate’)
KstestResult(statistic=1.0, pvalue=0.0)