python 去哪网摘取数据 存入本地excel 并形成分析图标

截取数据

import requests

from bs4import  BeautifulSoup

import xlwt

import xlrd

from pylabimport *

import  matplotlib.pyplotas plt

if __name__ =='__main__':

rowNewNum =0

    workbook = xlwt.Workbook(encoding='utf-8')

worksheet = workbook.add_sheet('qunar数据')

data = ['景区名','地址','今日起售票数','经纬度','起始价格','城市名']

for jin range(0,6):

worksheet.write(0, j, data[j])

citys = ['北京' ,'上海' ,'成都','三亚','广州','重庆','深圳','西安','杭州','厦门','武汉','大连','苏州']

for cityObjcin citys:

for pagein range(1,5):

            url ='https://piao.qunar.com/ticket/list.htm?keyword=' +  cityObjc  +'®ion=&from=mpl_search_suggest&page=' +str(page)

response = requests.get(url)

response.encoding ='utf-8'

            text = response.text

bs_obj = BeautifulSoup(text,'html.parser')

arr = bs_obj.find('div', {'class':'result_list'}).contents

            for iin arr:

rowNewNum = rowNewNum +1

info = i.attrs

name = info.get('data-sight-name')

address = info.get('data-address')

count = info.get('data-sale-count')

point = info.get('data-point')

price = i.find('span', {'class':'sight_item_price'})

price = price.find_all('em')

price = price[0].text

data = (name, address,int(count), point,float(price),  cityObjc)

print("数据：", data)

存入excel

for colin range(0,6):

worksheet.write(rowNewNum, col, data[col])

# print('行数:',rowNum,'列数：',col,'数据：',data)

            workbook.save('/Users/clairyang/PycharmProjects/untitled/test/qunaer.xlsx')

从excel读取写成图表

workfile = xlrd.open_workbook('/Users/clairyang/PycharmProjects/untitled/test/qunaer.xlsx')

sheet= workfile.sheets()[0]#横行titleArr

    titleArr = sheet.col_values(0)

numArr = sheet.col_values(2)#售卖数量

priceArr = sheet.col_values(4)

plt.rcParams['font.sans-serif']='SimSun'

    plt.title("去哪数据分析")

plt.plot(numArr,titleArr,'go-',label='销量',linewidth=2)

plt.plot(priceArr,titleArr,'rs',label='价格')

plt.show()

或者展示成柱图

plt.title("去哪数据分析")

plt.bar(titleArr,numArr,color='rgb')

plt.gcf().autofmt_xdate()

plt.xlabel('景点名')

plt.ylabel('销量')

plt.savefig('景点销量榜')

plt.show()