Py之Crawler：基于requests库+json库实现爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评+词云：发现“再见”亦是再也不见

目录

输出结果

实现代码

输出结果

背景图片

实现代码

 -*- coding: utf-8 -*-
 
Py之Crawler：爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评，发现
 
import requests
import json
 
url = 'http://music.163.com/weapi/v1/resource/comments/R_SO_4_185726?csrf_token='
 
headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36',
    'Referer':'http://music.163.com/song?id=185726',
    'Origin':'http://music.163.com',
    'Host':'music.163.com'
}
 
response = requests.post(url,headers=headers,data=user_data)
 
data = json.loads(response.text)
hotcomments = []
for hotcommment in data['hotComments']:
    item = {
        'nickname':hotcommment['user']['nickname'],
        'content':hotcommment['content'],
        'likedCount':hotcommment['likedCount']     
    }
    hotcomments.append(item)
 
获取评论用户名，内容，以及对应的获赞数   
content_list = [content['content'] for content in hotcomments]
nickname = [content['nickname'] for content in hotcomments]
liked_count = [content['likedCount'] for content in hotcomments]
 
 
生成图表与词云图
from pyecharts import Bar
 
bar = Bar("刘若英2018导演电影《后来的我们》的插曲《再见》最新热评——点赞数示例图")
bar.add( "",nickname, liked_count, is_stack=True,mark_line=["min", "max"],mark_point=["average"])
bar.render()
 
from wordcloud import WordCloud
import matplotlib.pyplot as plt
from scipy.misc import imread
 
content_text = " ".join(content_list)
 
bg_pic = imread('F:/File_Python/Resources/heibai04.jpg')
wordcloud = WordCloud(font_path=r"C:\Windows\Fonts\STXINGKA.TTF",max_words=2500,background_color="white",mask=bg_pic,scale=5).generate(content_text)  ,max_words=1200,width=1800, height=1200
 
wordcloud.to_file('zaijian.jpg')  保存词云图
 
plt.figure()
plt.imshow(wordcloud,interpolation='bilinear')
plt.axis('off')
plt.show()
 
 

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Py之Crawler：爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评，发现“再见”亦然是再也不见