sons dataStory

다음 그래프들은 전자책 파이썬과 함께하는 통계이야기 5 장에 수록된 그림들의 코드들입니다. import numpy as np import pandas as pd from scipy import stats from sklearn.preprocessing import StandardScaler import FinanceDataReader as fdr import yfinance as yf import matplotlib.pyplot as plt import seaborn as sns sns.set_style("darkgrid") #fig 511 st=pd.Timestamp(2024, 4,20) et=pd.Timestamp(2024, 5, 30) da1=fdr.DataReader('091160', st, et)["Close"] da2=fdr.DataReader('005930', st, et)["Close"] da1=da1.pct_change()[1:]*100 da2=da2.pct_change()[1:]*100 da=pd.DataFrame([da1, da2], index=['data1', 'data2']).T da.index=range(len(da1)) mu1, sd1, n1=np.mean(da1), np.std(da1, ddof=1), len(da1) mu2, sd2, n2=np.mean(da2), np.std(da2, ddof=1), len(da2) s_p=np.sqrt(((n1-1)*sd1**2+(n2-1)*sd2**2)/(n1+n2-2)) se=s_p*np.sqrt((1/n1+1/n2)) se=s_p*np.sqrt((1/n1+1/n2)) df=n1+n2-2 mu=mu1-mu2 ci=stats.t.interval(0.95, df, mu, se) testStatic=((mu1-mu2)-0)/se x=np.linspace(-3, 3, 500) ...