python t检验

import pandas as pd 

import numpy as np

import tushare as ts

import matplotlib.pyplot as plt

import seaborn as sns

from scipy import stats

sh=ts.get_hist_data('sh').sort_index()

sh['re']=np.log(sh['close']/sh['close'].shift(1))

sh=sh.dropna()

sns.distplot(sh['re'])

remean=sh['re'].mean()

restd=sh['re'].std()

stats.t.interval(置信度，自由度，均值，标准误)   #求解置信区间

stats.t.interval(0.95,len(sh['re'])-1,remean,stats.sem(restd))