import pandas as pd
import jieba
from wordcloud import WordCloud
from imageio import imread
def GetWordCloud():
    """根据弹幕以及词频制作词云图"""
    # 读取弹幕文件并转为字典类型
    df = pd.read_csv("danmu.csv")
    danmus = dict(zip(df["弹幕"], df["数量"]))
    
    # 读取停用词
    with open('stopwords.txt', 'r', encoding='utf-8') as f:
        stopwords = f.readlines()
    stopwords = [stopword.strip() for stopword in stopwords]
    
    # 将所有评论合并为一个字符串
    txt = ''
    for key, value in danmus.items():
        for i in range(value):
            txt += key
            
    # 获得每个词汇及其数量
    words = jieba.lcut(txt)
    words_dict = {}
    for word in words:
        if len(word) == 1:
            continue
        if word not in stopwords:
            words_dict[word] = words_dict.get(word, 0) + 1
    words_list = list(words_dict.items())
    words_list.sort(key = lambda x:x[1], reverse=True)
    words_count = dict(words_list)
    
    # 生成词云图
    wordcloud = WordCloud(
        background_color="white",
        width=1000,
        height=800,
        font_path="msyh.ttc",
        max_words=1000,
        mask=imread("mask.png"),
    ).generate_from_frequencies(words_count)
    
    #词云图保存文件
    wordcloud.to_file("wordcloud.png")
    
if __name__ == '__main__':
    GetWordCloud()