手游《航海王热血航线》的评论热词云图怎么做的，今天就手把手教你学废

import requests
import pandas as pd
import jieba
import jieba.analyse
from html import unescape
from wordcloud import WordCloud,STOPWORDS
import numpy as np
from PIL import Image
import stylecloud

# 评论数据请求接口
url = 'https://www.taptap.com/webapiv2/review/v2/by-app'

# pages = 1050
# appid = 195514
# 参数
Parames = {
    'app_id': appid, # 应用id
    'from': page*10, # 评论页数
    'limit': 10, # 每页评论数
    'sort': 'new', # 排序方式（new是最新）
    'X-UA': 'V=1&PN=WebApp&LANG=zh_CN&VN_CODE=3&VN=0.1.0&LOC=CN&PLT=Android&UID=da52e3b7-a393-4a0a-b8c9-9157797114d4&VID=2663941' # 复制就行，看着像平台参数相关的
    }

def tapReview(appid, pages):
    
    url = 'https://www.taptap.com/webapiv2/review/v2/by-app'
    
    # pages = 1050
    # appid = 195514
    dfList = []
    n = 0
    for page in range(pages):
        Parames = {
            'app_id': appid,
            'from': page*10,
            'limit': 10,
            'sort': 'new',
            'X-UA': 'V=1&PN=WebApp&LANG=zh_CN&VN_CODE=3&VN=0.1.0&LOC=CN&PLT=Android&UID=da52e3b7-a393-4a0a-b8c9-9157797114d4&VID=2663941'
            }
        
        rep = requests.get(url,params=Parames)
        js = rep.json()
        
        data = js['data']
        dataList = data['list']
        items = []
        for li in dataList:
            n = n+1
            item = {}
            moment = li['moment']['extended_entities']['reviews'][0]
            item['评价id'] = li['moment']['id']
            item['作者id'] = moment['author']['id']
            item['作者'] = moment['author']['name']   
            item['评价创建时间'] = moment['created_time']
            item['评价更新时间'] = moment['updated_time']
            item['评价内容'] = unescape(moment['contents']['text'].replace('<br>','\n'))
            item['评分(满分5分)'] = moment['score']
            item['游戏时长'] = moment['played_tips']
            
            items.append(item)
        df = pd.DataFrame(items)
        
        df['评价创建时间'] = pd.to_datetime(df['评价创建时间'],unit='s') + pd.Timedelta(hours=8)
        df['评价更新时间'] = pd.to_datetime(df['评价更新时间'],unit='s') + pd.Timedelta(hours=8)
        
        print(f'{n} 个 评价已经采集')
        dfList.append(df)
    
    dfs = pd.concat(dfList)
    
    return dfs

def ciYun(data,addWords,stopWords):
    '''
    Parameters
    ----------
    data : list
        需要用于制作词云的文本内容列表.
    addWords : list
        自定义词典列表.
    stopWords : list
        停用词列表.
    Returns
    -------
    None.
    '''
    print('\n正在作图...')
    comment_data = []
    
    for item in data:
        if pd.isnull(item) == False:
            comment_data.append(item)
    # 添加自定义词典 
    for addWord in addWords:
        jieba.add_word(addWord)

    comment_after_split = jieba.cut(str(comment_data), cut_all=False)
    words = ' '.join(comment_after_split)
    
    # 词云停用词 
    stopwords = STOPWORDS.copy()
    for stopWord in stopWords:
        stopwords.add(stopWord)
    # 添加背景图（注意背景图所在目录）
    bg=np.array(Image.open(r"F:\词云\背景图.png"))
    stylecloud.gen_stylecloud(
                              text=words,
                              custom_stopwords = stopwords,
                              palette='tableau.GreenOrange_12', # 设置配色方案
                              # icon_name='fas fa-apple-alt',
                              bg = bg, # 照片为蒙版啦
                              font_path='FZZJ-YGYTKJW.ttf',  # 词云图 字体（中文需要设定为本机有的中文字体）
                             )
    
    print('词云已生成~')

def main():
    # 应用id和评价页数，其中评价页数 = (评价数/10) +1
    df_data = tapReview(195514,1050)
    # 只取4月22日9点开服之后的评论
    df_data = df_data[df_data['评价更新时间']>='2021-04-22 09:00']
 # 获取评论列表
    data = df_data.评价内容.to_list()
    # 自定义关键词词组列表
    addWords = ['氪金',"打击感","航海王",'海贼王','抽卡']
    # 添加停用词（注意停用词文件所在目录）
    stoptxt = pd.read_table(r'C:\Users\gongdc\Desktop\stop.txt',encoding='utf-8',header=None)
    stoptxt.drop_duplicates(inplace=True)
    stopWords = stoptxt[0].to_list()
    # 补充的停用词（根据实际输出结果进行更迭）
    words = ['n','玩','说','做','n2','开','想','更','内测','太','期待','没','少','小时','确实','玩家','级','挺','那种','行','里','中','一款']
    stopWords.extend(words)    
        
    # 运行~
    ciYun(data,addWords,stopWords)
    # 自动打开词云图
    Image.open("stylecloud.png")