闲来无事想要了解下2018年的票房之王（国产片-内地），于是乎写了这么个小工具 先看一下结果：

没错，前三是王宝强，张译，黄景瑜，王宝强荣登票房王宝座！ （票房数据来源时光网）

首先先爬取电影票房数据（时光网）

def getMovieList():'''2018年内地票房（国产片）'''movie_params = {'year': '2018','area': 'china','type': 'MovieRankingYear','category': 'china','page': 0,'display': 'list','timestamp': '1553422026885','version': '07bb781100018dd58eafc3b35d42686804c6df8d','dataType': 'json'}url = 'http://movie.mtime.com/boxoffice/'movie_list = []#总共10页数据for j in range(10):movie_params['page'] = jr = requests.get(url, params=movie_params).json()soup = BeautifulSoup(r['html'], 'lxml')movie_div = soup.find('div', {'class': 'boxofficelist'})movie_dd = movie_div.find_all('dd')for i in range(len(movie_dd)):movie_name = movie_dd[i].find('h3').texttotalnum = movie_dd[i].find_all('p', {'class': 'totalnum'})[0].textactors = movie_dd[i].find_all('p')[3].text[3:]movie_list.append((movie_name, totalnum, actors))return movie_list
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将爬取的数据保存到CSV文件中

def write_movie_dsv(movies):'''将2018内地票房（国产片）列表写入csv文件中'''header=['电影名','票房','演员']with open('movie_2018_chinalist.csv','w',newline='') as csvfile:writer=csv.writer(csvfile)writer.writerow(header)for i,movie in enumerate(movies):if (i+1)%10==0:print ('已处理{}条记录（共{}条记录）'.format(i+1,len(movies)))writer.writerow(movie)
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统计2018内地（国产片）演员的票房，并写入csv文件中

def write_actorTotalNum_dsv(movies):'''统计2018内地（国产片）演员的票房，并写入csv文件中'''movie_actors = []actor_totalnum_temp = []actor_totalnum = {}header = ['演员', '票房(亿)']with open('actor_totalnum_2018.csv', 'w', newline='') as csvfile:writer = csv.writer(csvfile)writer.writerow(header)for movie in movies:movie_actor = movie[2].split('/')for i in range(len(movie_actor)):if movie_actor[i] != '':actor_totalnum_temp.append((movie_actor[i], movie[1]))for i, j in actor_totalnum_temp:if j[-1:] == '万':actor_totalnum[i] = actor_totalnum.get(i, 0.0) + float(j[:-1]) * 0.0001else:actor_totalnum[i] = actor_totalnum.get(i, 0.0) + float(j[:-1])actor_totalnum_temp = [(k, actor_totalnum[k]) for k in actor_totalnum]actor_totalnum_temp.sort(key=lambda k: k[1], reverse=True)print(actor_totalnum_temp)for actor, totalnum in actor_totalnum_temp:writer.writerow((actor, totalnum))
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主函数

def main():'''主函数'''#获取2018内地票房（国产片）的电影列表movies = getMovieList()#将获取的2018内地票房（国产片）的电影列表写入csv文件中#write_movie_dsv(movies)#统计2018内地（国产片）演员的票房，并写入csv文件中write_actorTotalNum_dsv(movies)#统计top10电影#movie_data = pd.read_csv('movie_2018_chinalist.csv')#统计2018内地(国产片)演员票房排行榜top10actor_data=pd.read_csv('actor_totalnum_2018.csv')# top10top10_actor = actor_data.head(10)# Kind表示画什么类型图（柱状图等）top10_actor.plot(kind='bar', x='演员', y='票房(亿)', title='2018内地(国产片)演员票房排行榜top10', figsize=(20, 10))plt.savefig('top10_actor2018_bar.png')plt.show()# 保存为csv文件top10_actor.to_csv('top10_actor2018.csv', index=False)if __name__=='__main__':main()
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如果想要统计2019票房王，可以直接修改Params参数year为2019，但是下方的Page页数要根据实际情况修改为对应的页数。