计算python中的平均值

时间:2016-02-19 15:22:21

标签: python

Am编写一个提示输入文件名的程序,然后打开该文件并读取文件,查找表单行:

X-DSPAM-置信度:0.8475

我想计算这些线并从每条线中提取浮点值并计算这些值的平均值。我可以请一些帮助。我刚开始编程所以我需要一些非常简单的东西。这是我已编写的代码。

fname = raw_input("Enter file name: ")
    if len(fname) == 0:
        fname = 'mbox-short.txt'
    fh = open(fname,'r')
    count = 0
    total = 0
    #Average = total/num of lines
    for line in fh:
        if not line.startswith("X-DSPAM-Confidence:"): continue
        count = count+1
        print line

3 个答案:

答案 0 :(得分:1)

迭代文件(使用上下文管理器("和#34;)自动处理关闭),寻找这样的行(就像你做的那样),然后像这样读取它们:

fname = raw_input("Enter file name:")
if not fname:
    fname = "mbox-short.txt"
scores = []
with open(fname) as f:
    for line in f:
        if not line.startswith("X-DSPAM-Confidence:"):
            continue
        _, score = line.split()
        scores.append(float(score))
print sum(scores)/len(scores)

或者更紧凑:

mean = lambda x: sum(x)/len(x)
with open(fname) as f:
    result = mean([float(l.split()[1]) if line.startswith("X-DSPAM-Confidence:") for l in f])

答案 1 :(得分:1)

尝试:

total += float(line.split(' ')[1])

以便total / count为您提供答案。

答案 2 :(得分:0)

以下程序应满足您的需求。如果您需要更改程序要查找的内容,只需更改PATTERN变量以描述您要匹配的内容。该代码是为Python 3.x编写的,但如果需要,可以很容易地适用于Python 2.x.

<强>程序:

#! /usr/bin/env python3
import re
import statistics
import sys


PATTERN = r'X-DSPAM-Confidence:\s*(?P<float>[+-]?\d*\.\d+)'


def main(argv):
    """Calculate the average X-DSPAM-Confidence from a file."""
    filename = argv[1] if len(argv) > 1 else input('Filename: ')
    if filename in {'', 'default'}:
        filename = 'mbox-short.txt'
    print('Average:', statistics.mean(get_numbers(filename)))
    return 0


def get_numbers(filename):
    """Extract all X-DSPAM-Confidence values from the named file."""
    with open(filename) as file:
        for line in file:
            for match in re.finditer(PATTERN, line, re.IGNORECASE):
                yield float(match.groupdict()['float'])


if __name__ == '__main__':
    sys.exit(main(sys.argv))

如果需要,您也可以按以下方式实施get_numbers生成器。

<强>替代:

def get_numbers(filename):
    """Extract all X-DSPAM-Confidence values from the named file."""
    with open(filename) as file:
        yield from (float(match.groupdict()['float'])
                    for line in file
                    for match in re.finditer(PATTERN, line, re.IGNORECASE))