python 词云

最新推荐文章于 2025-09-02 11:20:14 发布

原创最新推荐文章于 2025-09-02 11:20:14 发布 · 1.2k 阅读

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#python #开发语言

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
from matplotlib import colors
from PIL import Image
import numpy as np

# 导入文本数据进行简单的文本处理，去掉换行符，半角和全角空格
f = open("bb.txt","r", encoding='utf8')
t = f.read()
f.close()


ls = jieba.lcut(t)
txt = " ".join(ls)


# 导入停词,用于去掉文本中类似于'啊'、'你'，'我'之类的词
stop_words = open("bb.txt", encoding="utf8").read().split("\n")


# 导入背景图，注意背景图除了目标形状外，其余地方都应是空白的
background_image = np.array(Image.open("5.jpg"))

color_list=["#C2D26F","#C848A3","#B22222","#B03060","#EEA9B8","#708090"]
colormap=colors.ListedColormap(color_list)
# 使用WordCloud生成词云
w = WordCloud(font_path="simsun.ttc",  # 设置词云字体
              background_color="white", width=1000, height=880,  # 词云图的背景颜色、高度和宽度
              mask=background_image,  # 指定词云的形状
              max_words=1500,  # 显示单词数
              max_font_size=100,  # 最大字号
              colormap=colormap,
              stopwords=stop_words)  # 去掉的停词
w.generate(txt)

# 运用matplotlib展现结果
plt.subplots(figsize=(10, 8))
plt.imshow(w)
plt.axis("off")
plt.show()