Python statistics median_low()用法及代码示例

中位数通常被称为中心位置的可靠度量，并且较少受数据中异常值的影响。

统计Python中的模块允许使用三个选项来处理数据集中的中间/中间元素，分别是median(), median_low() and median_high()。

低中位数始终是数据集的成员。当数据点的数量为奇数时，将返回中间值。当它为偶数时，将返回两个中间值中较小的一个。让我们看看如何median_low() 作品。

用法： median_low( [data-set] )

Parameters:
[data-set]：采用列表，元组或一组可交互的数值数据。

Returntype:返回数值数据的低位数。中位数低是实际data-set的成员。

Exceptions: StatisticsError当data-set为空时引发。

代码1：工作中

# Python code to demonstrate the  
# working of median_low() 
  
# importing the statistics module 
import statistics 
  
# simple list of a set of integers 
set1 = [1, 3, 3, 4, 5, 7] 
  
# Note:low median will always be 
#        a member of the data-set. 
  
# Print low median of the data-set 
print("Low median of the data-set is % s " 
        % (statistics.median_low(set1)))

输出：

Low median of the data-set is 3

代码2：median_low()和中位数的工作方式以区分它们。

# Python code to demonstrate the 
# working of median_low() 
  
# importing the statistics module 
import statistics 
  
# simple list of a set of integers 
set1 = [1, 3, 3, 4, 5, 7] 
  
# Print median of the data-set 
  
# Median value may or may not 
# lie within the data-set 
print("Median of the set is % s" 
      % (statistics.median(set1))) 
  
# Print low median of the data-set 
print("Low Median of the set is % s " 
       % (statistics.median_low(set1)))

输出：

Median of the set is 3.5
Low Median of the set is 3

代码3：median_low()在不同范围的data-set上的工作

# Python code to demonstrate the 
# working of median_low() 
  
# importing statistics module 
from statistics import median_low 
  
# Importing fractions module as fr 
from fractions import Fraction as fr 
  
# tuple of positive integer numbers 
data1 = (2, 3, 4, 5, 7, 9, 11) 
  
# tuple of a set of floating point values 
data2 = (2.4, 5.1, 6.7, 8.9) 
  
# tuple of a set of fractional numbers 
data3 = (fr(1, 2), fr(44, 12), 
         fr(10, 3), fr(2, 3)) 
  
# tuple of a set of negative integers 
data4 = (-5, -1, -12, -19, -3) 
  
# tuple of set of positive 
# and negative integers 
data5 = (-1, -2, -3, -4, 4, 3, 2, 1) 
  
# Print low_median() of given data-sets 
print("Low Median of data-set 1 is % s" % (median_low(data1))) 
print("Low Median of data-set 2 is % s" % (median_low(data2))) 
print("Low Median of data-set 3 is % s" % (median_low(data3))) 
print("Low Median of data-set 4 is % s" % (median_low(data4))) 
print("Low Median of data-set 5 is % s" % (median_low(data5)))

输出：

Low Median of data-set 1 is 5
Low Median of data-set 2 is 5.1
Low Median of data-set 3 is 2/3
Low Median of data-set 4 is -5
Low Median of data-set 5 is -1

代码4：提高StatisticsError

# Python code to demonstrate 
# StatisticsError of median_low() 
  
# importing the statistics module 
from statistics import median_low 
  
# creating an empty data-set 
empty = [] 
  
# will raise StatisticsError 
print(median_low(empty))

输出：

Traceback (most recent call last):
  File "/home/5f3e758236f872d014f9d741743c30a4.py", line 10, in 
    print(median_low(empty))
  File "/usr/lib/python3.5/statistics.py", line 376, in median_low
    raise StatisticsError("no median for empty data")
statistics.StatisticsError:no median for empty data

应用范围：
median_low()当数据是离散的并且使用中位数作为数据中的实际点而不是外推点时，将使用。

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注：本文由纯净天空筛选整理自retr0大神的英文原创作品 Python statistics | median_low()。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。