利用python对csv文件进行简单的数据分析

在通过爬虫爬取数据后，将数据放到csv文件里，为了方便观察，可以对数据进行简单的分析。下面我将对爬取的51job招聘数据中的薪资进行求平均值以及中位数操作

1.爬取数据
下面是我借用的爬取51job代码，稍加修改

# -*- coding:utf8 -*-
# 使用 xpath 方法对 51job 进行职位爬取
import requests
import json
import re
import csv
from lxml import etree
BASE_DOMAIN = 'https://search.51job.com'
HEADERS = {
   
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36',
}
Recruitments = []

def parse_page(url):
    # url = 'https://search.51job.com/list/120200,000000,0000,00,9,99,python,2,1.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&from=&welfare='
    resp = requests.get(url,headers=HEADERS)
    text = resp.content.decode('gbk')
    tree = etree.HTML(text)

    PositionAndCompany = tree.xpath("//div[@class='el']//span/a/@title")
    Company = PositionAndCompany[1::2]
    Position = PositionAndCompany[::2]
    Workplace = tree.xpath("//div[@class='el']//span[@class='t3']/text()")
    Payroll = tree.xpath("//div[@class='el']//span[@class='t4']/text()")
    Releasetime = tree.xpath("//div[@class='el']//span[@class='t5']/text()")

    for value in zip(Position,Company,Workplace,Payroll,Releasetime):
        Position