1.大数据统计（原创）

#!/usr/bin env python
# -*- coding:utf-8 -*-
import re


def preprocess(fileName, pattern):
    ‘‘‘
    将数据集进行预处理，比如取出RSSI那一列的数据
    :param fileName: 接收相对路径
    :param pattern:  接收正则表达式的模板
    :return:         返回Region of interest数据集
    ‘‘‘
    with open(fileName, ‘r‘, encoding=‘utf-8‘) as f, open(‘laterText.txt‘, ‘w‘, encoding=‘utf-8‘) as f2:
        for line in f:
            result = re.findall(pattern, line)    #‘.*(-\d{2}),‘
            if result:
                newContent = result[0] + ‘\n‘
                f2.write(newContent)
    return ‘laterText.txt‘


def sort(fileName):
    ‘‘‘
    将Region of interest数据集内容取出来放进一个列表
    再将列表进行排序，然后再对列表的内容进行统计
    :param fileName: ROI数据集的路径
    :return:
    ‘‘‘
    s1 = []
    s_result = []
    with open(fileName, ‘r‘, encoding=‘utf-8‘) as f:
        for line in f:
            line = line.split()[0]
            s1.append(line)

    s1 = sorted(s1)

    for i in s1:
        flage = False
        for j in s_result:
            if i in j:
                a, b = j.split(‘:‘)
                new_j = a + ‘:‘ + str(int(b) + 1)
                s_result.remove(j)
                s_result.append(new_j)
                flage = True
            else:
                continue

        if flage == False:
            new_str = i + ‘:‘ + ‘1‘
            s_result.append(new_str)
    return s_result


def finalText(list1):
    ‘‘‘
    将统计后的列表写入文件，结果更加直观
    :param list1: 统计之后的列表
    :return: True
    ‘‘‘
    with open(‘result.txt‘, ‘w‘, encoding=‘utf-8‘) as f2:
        for i in list1:
            new_line = i + ‘\n‘
            f2.write(new_line)
    return True


if __name__ == ‘__main__‘:
    inputFile = input(‘Enter a file path:‘)  # 输入文件的相对路径    例  trainText.csv
    pattern = input(‘Enter a re expression:‘) #输入正则表达式       例  .*(-\d{2}),
    laterText = preprocess(inputFile, pattern)  # laterText接收预处理文件的路径 ‘laterText.txt‘
    list1 = sort(laterText)  # 将预处理后的文件内容取出，放入列表进行排序并统计列表中各个元素出现的次数，并返回一个列表
    if finalText(list1):  # 将列表里面的元素放入一个result.txt里面
        print(‘统计完毕，结果参考result.txt‘)

-47:1
-48:2
-49:7
-50:7
-51:23
-52:22
-53:33
-54:58
-55:157
-56:81
-57:200
-58:149
-59:214
-60:269
-61:603
-62:256
-63:636
-64:427
-65:525
-66:585
-67:1233
-68:483
-69:1127
-70:654
-71:676
-72:735
-73:1133
-74:432
-75:766
-76:418
-77:411
-78:395
-79:519
-80:184
-81:321
-82:137
-83:146
-84:138
-85:128
-86:110
-87:96
-88:36
-89:38
-90:20
-91:7
-92:11
-93:1