Python helps the 2020 postgraduate entrance examination to adjust the adjustment information of major universities (continuous update)

Overview

After the tweet was posted yesterday, a friend reported that there was too little information on the form, so I added the details of each adjustment information.

Here I only list a part of the data of the adjustment colleges. For more data, please reply to the "Adjustment" in the backstage of the official account. The reply file is continuously updated. I wish a successful landing. Bless Wuhan, bless Hubei, bless China, bless the world!

Project overview

In fact, there is no difference from what I wrote before, so I won’t go into details here. For details, please refer to dozens of lines of code to download HD wallpapers in batches.

Part of the code

Build url

# 构建所有url
def get_url_list(self):
    url_list = []
    for i in range(1, 17):
         url = self.base_url.format(i)
         url_list.append(url)
    return url_list

Data analysis part of a website

# 解析存储数据
def parse_data(self, data):
    tree = etree.HTML(data)
    info_list = tree.xpath("//div[@class='info-item font14']")
    for info in info_list:
        school_name = info.xpath('./span/text()')[0]
        major_name = info.xpath('./span/text()')[1]
        info_title = info.xpath('./span/a/text()')
        info_time = info.xpath('./span/text()')[2]
        global n

        sheet.write(n, 0, school_name)
        sheet.write(n, 1, major_name)
        sheet.write(n, 2, info_title)
        sheet.write(n, 3, info_time)

        n = n + 1

Get data view