Python中的中位数、众数、均值

Question

我正在尝试将匹配的正则表达式加载到列表中，然后计算中位数、众数和均值。

数据文件（pc1.txt）：

2017-04-16 13:32:59 
\\desktop-XXXXXXX\processor(_total)\% processor time : 1.05614841124945
\\desktop-XXXXXXX\memory\% committed bytes in use : 5.50960924380334

2017-04-16 13:33:05
\\desktop-XXXXXXX\processor(_total)\% processor time : 1.08875159384721
\\desktop-XXXXXXX\memory\% committed bytes in use : 5.5102938969471

2017-04-16 13:33:10
\\desktop-XXXXXXX\processor(_total)\% processor time : 0
\\desktop-XXXXXXX\memory\% committed bytes in use : 5.46869437193207

BootTime 200938

 ------------------------------------ 
 ------------------------------------ 

2017-04-16 13:40:11 
\\desktop-XXXXXXX\processor(_total)\% processor time : 4.37510327488846
\\desktop-XXXXXXX\memory\% committed bytes in use : 4.438387242009

2017-04-16 13:40:17
\\desktop-XXXXXXX\processor(_total)\% processor time : 1.90625777477218
\\desktop-XXXXXXX\memory\% committed bytes in use : 4.44426156598249

2017-04-16 13:40:22
\\desktop-XXXXXXX\processor(_total)\% processor time : 0.078229917076289
\\desktop-XXXXXXX\memory\% committed bytes in use : 4.44589104046464

BootTime 69920

正则表达式查找值：

Processor: ^[\\].+processor.+[: ](\d*\.?\d*)
Memory: ^[\\].+memory.+[: ](\d*\.?\d*)
Boottime: ^BootTime.(\d+)

到目前为止，我尝试过：

with open('pc1.txt') as f:
    for line in f:
        re.findall(processor, f)

但是，我无法 1) 匹配值； 2) 将 放入列表中； 3) 计算中位数、众数和均值。

我有计算模式的基本知识：

from statistics import mode
mode([value1, value2])

但我仍然无法将所有部分放在一起。此外，我愿意接受任何其他可以以简单/更轻松的方式处理统计数据的编程语言。

Answer 1

文本文件中的匹配项是strings 而不是floats，我们需要对其进行转换以获得median 和mean，我在statistics 上使用numpy，而不是statistics，即：

import numpy as np
import re

with open('pc1.txt', 'r') as myfile:
    data = myfile.read()
    processor = re.findall(r"processor time : ([\d.]+)", data, re.IGNORECASE | re.DOTALL | re.MULTILINE)
    processor = [float(i) for i in processor] # we convert the matching list of strings to floats
    if processor:
        print (np.median(processor))
        print (np.mean(processor))

    memory = re.findall(r"memory\\%.*?: ([\d.]+)", data, re.IGNORECASE | re.DOTALL | re.MULTILINE)
    memory = [float(i) for i in memory] # we convert the matching list of strings to floats
    if memory:
        print (np.median(memory))
        print (np.mean(memory))

    boot_time = re.findall(r"BootTime ([\d]+)", data, re.IGNORECASE | re.DOTALL | re.MULTILINE)
    boot_time = [float(i) for i in boot_time]  # we convert the matching list of strings to floats
    if boot_time:
        print (np.median(boot_time))
        print (np.mean(boot_time))