data1 = file1.readline() data2 = file2.readline() count =1whiledata1:ifcount >=10:breakdata1 = file1.readline() count +=1whiledata2:ifcount >=10:breakdata2 = file2.readline() count +=1statistic, p_value = ks_2samp(data1, data2)print(f"KS :{statistic}")print(f"P:{p_va...
Hiya all. My code's throwing a RuntimeWarning for a floating-point overflow. Thought I'd better share. Reproducing code example: import pickle import pandas as pd from scipy.stats import ks_2samp # version info import sys, scipy, numpy; ...
stats import ks_2samp stat, p_value = ks_2samp(df['Open'], df['Adj Close']) 参考资料 [1] 常见的股票概率分布方法: https://www.investopedia.com/articles/06/probabilitydistribution.asp [2] 连续统计分布清单: https://docs.scipy.org/doc/scipy/reference/tutorial/stats/continuous.html...
stats import ks_2samp stat, p_value = ks_2samp(df['Open'], df['Adj Close']) 参考资料 [1] 常见的股票概率分布方法: https://www.investopedia.com/articles/06/probabilitydistribution.asp [2] 连续统计分布清单: https://docs.scipy.org/doc/scipy/reference/tutorial/stats/continuous.html...
norm=np.random.normal(0, 1, 1000)print(ks_2samp(beta, norm))#Ks_2sampResult(statistic=0.578, pvalue=7.844864182954565e-155)#p-value比指定的显著水平(假设为5%)小,则我们完全可以拒绝假设:beta和norm不服从同一分布 shapiro 正态检验 专门做 正态检验 的模块 ...
#8341: scipy.stats.ks_2samp for masked and unmasked data give different… #8748: scipy.stats.kstest for same distribution: p-values nonuniform #9042: optimize: Incorrect statement aboutjacin theminimize… #9197: problem with scipy.signal.butter with 1000+ points array ...
>>> stats.ks_2samp(a1,a2) Ks_2sampResult(statistic=0.40000000000000002, pvalue=0.31285267601695582) 在两组数据对数收益率的差值上运用Jarque-Bera正态性检验 >>> stats.jarque_bera(a1-a2) (0.70085877257661988, 0.70438557126873813) >>> stats.jarque_bera(a1-a2)[-1] 0.70438557126873813 ...
两个样本ks_2samp的Kolmogorov-Smirnov测试 核密度估计<翻译到这里> 单因素估计 多因素估计 多尺度图相关(MGC)<翻译到这里,以下未翻译> 统计(scipy.stats) 简介 在本教程中,我们讨论scipy.stats的许多——当然不是全部——功能 。我们的目的是向用户提供此软件包的实用知识。有关更多详细信息,请参阅参考手册。
>>> stats.ks_2samp(rvs1, rvs2) (0.025999999999999995, 0.99541195173064878) 1. 2. 在第二个例子中,由于均值不同,所以我们可以拒绝空假设,由P值小于1%。 AI检测代码解析 >>> stats.ks_2samp(rvs1, rvs3) (0.11399999999999999, 0.0027132103661283141) ...
scipy.stats.ks_2sampwithmethod='exact'. Improved the performance ofscipy.stats.siegelslopes. Improved the performance ofscipy.stats.mstats.hdquantile_sd. Improved the performance ofscipy.stats.binned_statistic_ddfor several NumPy statistics, and binned statistics methods now support complex data. ...