my_project/generate_gif.py

import pandas as pd
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
import imageio.v2 as imageio
import os

def load_stopwords(file_path):
#加载停用词表。
    with open(file_path, 'r', encoding='utf-8') as f:
        stopwords = set(line.strip() for line in f)
    return stopwords

def remove_stopwords(words_list, stopwords):
 #   从词汇列表中移除停用词。
    return [word for word in words_list if word not in stopwords and len(word) > 1]

def generate_(file_path):
# 生成包含弹幕数据的词云 GIF 文件。

    # 读取 Excel 文件并提取弹幕内容
    df = pd.read_excel(file_path)
    comments = df['danmu'].astype(str)
    text = ' '.join(comments)

    # 使用 jieba 分词
    words = jieba.cut(text, cut_all=False)

    # 加载停用词表
    stopwords_file = "D://edge//stop.txt"  # 替换为实际路径
    stopwords = load_stopwords(stopwords_file)

    # 去除停用词
    filtered_words = remove_stopwords(words, stopwords)

    # 将过滤后的词汇重新拼接为一个字符串
    words_list = ' '.join(filtered_words)

    # 加载形状图片并生成词云
    mask = np.array(Image.open("D://edge//kk.png"))  # 替换为实际路径

    # 创建一个用于存储帧的文件夹
    frames_dir = "wordcloud_frames"
    if not os.path.exists(frames_dir):
        os.makedirs(frames_dir)

    # 生成多个帧
    filenames = []
    for i in range(10):  # 生成 10 帧
        # 动态改变词云的颜色和随机状态
        wordcloud = WordCloud(
            font_path='simhei.ttf',  # 确保支持中文
            background_color='white',
            mask=mask,
            contour_width=1,
            contour_color='black',
            width=800,
            height=600,
            color_func=lambda *args, **kwargs: (
                np.random.randint(50, 255), 
                np.random.randint(50, 255), 
                np.random.randint(50, 255)
            ),  # 随机颜色
            random_state=i  # 每帧的随机状态不同
        ).generate(words_list)

        # 保存每一帧为图片
        filename = os.path.join(frames_dir, f"frame_{i}.png")
        wordcloud.to_file(filename)
        filenames.append(filename)

    # 将所有帧合成为 GIF
    gif_path = "wordcloud.gif"
    with imageio.get_writer(gif_path, mode="I", duration=0.5) as writer:  # duration 表示每帧的显示时间
        for filename in filenames:
            image = imageio.imread(filename)  # 读取每一个图片
            writer.append_data(image)

    # 清理临时帧文件
    for filename in filenames:
        os.remove(filename)

    print(f"GIF created at {gif_path}")
    return 0