本文实例讲述了Python统计分析模块statistics用法。分享给大家供大家参考，具体如下：

一 计算平均数函数mean()

>>>import statistics>>> statistics.mean([1,2,3,4,5,6,7,8,9])#使用整数列表做参数5>>> statistics.mean(range(1,10))#使用range对象做参数5>>>import fractions>>> x =[(3,7),(1,21),(5,3),(1,3)]>>> y =[fractions.Fraction(*item)for item in x]>>> y[Fraction(3,7),Fraction(1,21),Fraction(5,3),Fraction(1,3)]>>> statistics.mean(y)#使用包含分数的列表做参数Fraction(13,21)>>>import decimal>>> x =('0.5','0.75','0.625','0.375')>>> y = map(decimal.Decimal, x)>>> statistics.mean(y)Decimal('0.5625')

二 中位数函数median()、median_low()、median_high()、median_grouped()

>>> statistics.median([1,3,5,7])#偶数个样本时取中间两个数的平均数4.0>>> statistics.median_low([1,3,5,7])#偶数个样本时取中间两个数的较小者3>>> statistics.median_high([1,3,5,7])#偶数个样本时取中间两个数的较大者5>>> statistics.median(range(1,10))5>>> statistics.median_low([5,3,7]), statistics.median_high([5,3,7])(5,5)>>> statistics.median_grouped([5,3,7])5.0>>> statistics.median_grouped([52,52,53,54])52.5>>> statistics.median_grouped([1,3,3,5,7])3.25>>> statistics.median_grouped([1,2,2,3,4,4,4,4,4,5])3.7>>> statistics.median_grouped([1,2,2,3,4,4,4,4,4,5], interval=2)3.4

三 返回最常见数据或出现次数最多的数据（most common data）的函数mode()

>>> statistics.mode([1,3,5,7])#无法确定出现次数最多的唯一元素Traceback(most recent call last):File"<pyshell#27>", line 1,in<module>statistics.mode([1,3,5,7])#无法确定出现次数最多的唯一元素File"D:\Python36\lib\statistics.py", line 507,in mode'no unique mode; found %d equally common values'% len(table)statistics.StatisticsError: no unique mode; found 4 equally common values>>> statistics.mode([1,3,5,7,3])3>>> statistics.mode(["red","blue","blue","red","green","red","red"])'red'

四 pstdev()，返回总体标准差（population standard deviation ，the square root of the population variance)

>>> statistics.pstdev([1.5,2.5,2.5,2.75,3.25,4.75])0.986893273527251>>> statistics.pstdev(range(20))5.766281297335398

五 pvariance()，返回总体方差（population variance）或二次矩（second moment）

>>> statistics.pvariance([1.5,2.5,2.5,2.75,3.25,4.75])0.9739583333333334>>> x =[1,2,3,4,5,10,9,8,7,6]>>> mu = statistics.mean(x)>>> mu5.5>>> statistics.pvariance([1,2,3,4,5,10,9,8,7,6], mu)8.25>>> statistics.pvariance(range(20))33.25>>> statistics.pvariance((random.randint(1,10000)for i in range(30)))>>>import random>>> statistics.pvariance((random.randint(1,10000)for i in range(30)))7117280.4

更多关于Python相关内容感兴趣的读者可查看本站专题：《Python数学运算技巧总结》、《Python数据结构与算法教程》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》及《Python入门与进阶经典教程》

希望本文所述对大家Python程序设计有所帮助。