獲取豆瓣高分電影(500部)寫入MySQL數據庫:
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#-*-coding:UTF-8-*-
import requests
import json
import pymysql
from lxml import etree
def GetWriteData(url,num):
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='root', db='mydata')
cursor = conn.cursor()
cursor.execute("DROP TABLE IF EXISTS db") #如果db Base存在則刪除
cursor.execute('create table db ( id int(5) primary key, pname varchar(255), pf varchar(10) ,plnum int(10),zhpf int(10))')
i = 0
while i < num:
html = requests.get(url + str(i))
if '異常請求' in html.text:
print('請求過於頻繁,請稍後再試!')
break
text = json.loads(html.text[12:-1])
i += 20
print(i,round(i/20))
for j in text:
try:
s = requests.get(j['url'])
except:
print('訪問異常')
else:
ehtml = etree.HTML(s.text)
nu = int(''.join(ehtml.xpath('//*[@id="interest_sectl"]/div[1]/div[2]/div/div[2]/a/span/text()')))
zhpf=round(float(nu /10000 * 0.5)) + round(float(j['rate']) * 2)
cursor.execute('INSERT INTO db(id,pname,pf,plnum,zhpf) values (%s, %s, %s ,%s,%s) ',[k,j['title'],j['rate'],nu,zhpf])
cursor.rowcount
conn.commit()
cursor.close()
conn.close()
print('任務結束。')
if __name__ == '__main__':
url = 'https://movie.douban.com/j/search_subjects?type=movie&tag=豆瓣高分&sort=recommend&page_limit=20&page_start='
print('開始獲取,請稍候...')
GetWriteData(url,500) # 500爲獲取影片數量
matplotlib簡單可視化:
import pymysql
import matplotlib.pyplot as plt
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='root', db='mydata',cursorclass = pymysql.cursors.DictCursor)
cursor = conn.cursor()
cursor.execute('select * from mydata.db order by zhpf desc;')
values = cursor.fetchall()
cursor.close()
conn.close()
namedata=[]
zhpf=[]
n=0
for i in values:
if n>20:break
namedata.append(i['pname'])
zhpf.append(i['zhpf'])
n+=1
plt.rcParams["font.sans-serif"]=["SimHei"]
plt.rcParams["axes.unicode_minus"]=False
plt.barh(y=namedata, width=zhpf, label='綜合評分',color='steelblue', alpha=0.8, height=0.8)
for y, x in enumerate(zhpf):
plt.text(x+2, y-0.4, '%s' % x, ha='center', va='bottom')
plt.xlabel("分值")
plt.ylabel("片名")
plt.legend()
plt.show()
以上就是本文的全部內容,覺得文章還不錯的話不妨收藏起來慢慢看,有任何建議或看法歡迎大家在評論區分享討論!