《邪不压正》评分持续走低，上万条网友评论揭秘，是救救姜文还是救救观众？

import requests
import json
import time
import random

#下载第一页数据
def get_one_page(url):
  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'
  }
  response = requests.get(url,headers=headers)
  if response.status_code == 200:
    return response.text
  return None

#解析第一页数据
def parse_one_page(html):
  data = json.loads(html)['cmts']
  for item in data:
    yield{
    'comment':item['content'],
    'date':item['time'].split(' ')[0],
    'rate':item['score'],
    'city':item['cityName'],
    'nickname':item['nickName']
    }

#保存数据到文本文档
def save_to_txt():
  for i in range(1,1001):
    url = 'http://m.maoyan.com/mmdb/comments/movie/248566.json?_v_=yes&offset=' + str(i)
    html = get_one_page(url)
    print('正在保存第%d页。'% i)
    for item in parse_one_page(html):
      with open('xie_zheng.txt','a',encoding='utf-8') as f:
        f.write(item['date'] + ',' + item['nickname'] + ',' + item['city'] + ',' +str(item['rate'])+','+item['comment']+'n')
    time.sleep(5 + float(random.randint(1, 100)) / 20)

if __name__ == '__main__':
  save_to_txt()

def xie_zheng(infile,outfile):
  infopen = open(infile,'r',encoding='utf-8')
  outopen = open(outfile,'w',encoding='utf-8')
  lines = infopen.readlines()
  list_l = []
  for line in lines:
    if line not in list_l:
      list_l.append(line)
      outopen.write(line)
  infopen.close()
  outopen.close()

if __name__ == '__main__':
  xie_zheng('文本原路径','目标路径')

from pyecharts import Style
from pyecharts import Geo

#读取城市数据
city = []
with open('xie_zheng.txt',mode='r',encoding='utf-8') as f:
  rows = f.readlines()
  for row in rows:
    if len(row.split(',')) == 5:
      city.append(row.split(',')[2].replace('n',''))

def all_list(arr):
  result = {}
  for i in set(arr):
    result[i] = arr.count(i)
  return result

data = []
for item in all_list(city):
  data.append((item,all_list(city)[item]))
  style = Style(
    title_color = "#fff",
    title_pos = "center",
    width = 1200,
    height = 600,
    background_color = "#404a59"
    )

geo = Geo("《邪不压正》粉丝人群地理位置","数据来源：恋习Python",**style.init_style)
attr,value= geo.cast(data)
geo.add("",attr,value,visual_range=[0,20],
  visual_text_color="#fff",symbol_size=20,
  is_visualmap=True,is_piecewise=True, 
  visual_split_number=4)

geo.render()

import pickle
from os import path
import jieba
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator

comment = []
with open('quan.txt',mode='r',encoding='utf-8') as f:
  rows = f.readlines()
  for row in rows:
    if len(row.split(',')) == 5:
      comment.append(row.split(',')[4].replace('n',''))

comment_after_split = jieba.cut(str(comment),cut_all=False)

wl_space_split= " ".join(comment_after_split)
#导入背景图
backgroud_Image = plt.imread('C:\Users\Administrator\Desktop\1.jpg') 
stopwords = STOPWORDS.copy()
#可以加多个屏蔽词
stopwords.add("电影")
stopwords.add("一部")
stopwords.add("一个")
stopwords.add("没有")
stopwords.add("什么")
stopwords.add("有点")
stopwords.add("这部")
stopwords.add("这个")
stopwords.add("不是")
stopwords.add("真的")
stopwords.add("感觉")
stopwords.add("觉得")
stopwords.add("还是")

#设置词云参数 
#参数分别是指定字体、背景颜色、最大的词的大小、使用给定图作为背景形状 
wc = WordCloud(width=1024,height=768,background_color='white',
  mask=backgroud_Image,font_path="C:simhei.ttf",
  stopwords=stopwords,max_font_size=400,
  random_state=50)
wc.generate_from_text(wl_space_split)
img_colors= ImageColorGenerator(backgroud_Image)
wc.recolor(color_func=img_colors)
plt.imshow(wc)
plt.axis('off')#不显示坐标轴  
plt.show()
#保存结果到本地
wc.to_file('保存路径')

from pyecharts import ThemeRiver

rate = []
with open('quan.txt',mode='r',encoding='utf-8') as f:
  rows = f.readlines()
  for row in rows:
    if len(row.split(',')) == 5:
      rate.append(row.split(',')[3].replace('n',''))

print(rate.count('5')+rate.count('4.5'))
print(rate.count('4')+rate.count('3.5'))
print(rate.count('3')+rate.count('2.5'))
print(rate.count('2')+rate.count('1.5'))
print(rate.count('1')+rate.count('0.5'))

#饼状图
from pyecharts import Pie
attr = ["五星", "四星", "三星", "二星", "一星"]

#分别代表各星级评论数
v1 = [3324,1788,1293,553,1653]
pie = Pie("饼图-星级玫瑰图示例", title_pos='center', width=900)
pie.add("7-17", attr, v1, center=[75, 50], is_random=True,
        radius=[30, 75], rosetype='area',
        is_legend_show=False, is_label_show=True)

pie.render()