使用Python绘制词云图的详细教程

pip install wordcloud matplotlib jieba numpy pillow

import matplotlib.pyplot as plt
from wordcloud import WordCloud

# 1. 准备文本数据
text = "Python is a great programming language. Python is widely used for data science, web development, and automation."

# 2. 创建词云对象
wordcloud = WordCloud(width=800, height=400, background_color="white").generate(text)

# 3. 显示词云图
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")  # 不显示坐标轴
plt.show()

wordcloud = WordCloud(width=800, height=400, background_color="black", colormap="coolwarm").generate(text)

plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

wordcloud = WordCloud(font_path="/path/to/your/font.ttf", width=800, height=400, background_color="white").generate(text)

plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 1. 准备中文文本
text = "Python是一个非常强大的编程语言。Python广泛应用于数据科学、机器学习和人工智能等领域。"

# 2. 使用jieba进行中文分词
seg_list = jieba.cut(text)
word_list = " ".join(seg_list)  # 将分词结果转换为字符串

# 3. 创建词云对象并生成词云
wordcloud = WordCloud(font_path="msyh.ttc", width=800, height=400, background_color="white").generate(word_list)

# 4. 显示词云图
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

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

# 1. 准备文本数据
text = "Python is a versatile programming language. It is popular among data scientists, developers, and AI researchers."

# 2. 读取掩码图像
mask_image = np.array(Image.open("cloud_shape.png"))

# 3. 创建词云对象并生成词云
wordcloud = WordCloud(width=800, height=400, background_color="white", mask=mask_image).generate(text)

# 4. 显示词云图
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 1. 创建词频字典
word_frequencies = {
    "Python": 100,
    "Java": 50,
    "C++": 30,
    "JavaScript": 70,
    "Ruby": 10
}

# 2. 创建词云对象
wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies(word_frequencies)

# 3. 显示词云图
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

wordcloud = WordCloud(width=800, height=400, background_color="white").generate(text)

# 保存为文件
wordcloud.to_file("wordcloud_output.png")