python对中文txt进行词云分析生成的图片没有字而是一个个方框请问这是怎么回事？import jieba import wordcloud with open('a.txt','r',encoding="utf-8") as f: temp = f.read() words = jieba.lcut(temp) words = " ".join(words) pl = wordcloud.WordCloud( width = 1000,height = 1000, background_color = "white", #font_path = r"‪C:\\Windows\\Fonts\\TEMPSITC.TTF" ) pl.generate(temp) pl.to_file("C:\\Users\\86150\\Desktop\\1.png")并检查一下代码的错误

这可能是因为你的字体库没有支持中文字符。你可以尝试将`font_path`参数设置为一个支持中文的字体文件路径。例如：

font_path = r"C:\Windows\Fonts\SimSun.ttf"

另外，你需要将`pl.generate(temp)`中的`temp`改为`words`，以使用中文分词后的单词列表生成词云。修改后的代码如下：

import jieba
import wordcloud

with open('a.txt','r',encoding="utf-8") as f:
    temp = f.read()

words = jieba.lcut(temp)
words = " ".join(words)

pl = wordcloud.WordCloud(
    width = 1000,height = 1000,
    background_color = "white",
    font_path = r"C:\Windows\Fonts\SimSun.ttf"
)

pl.generate(words)
pl.to_file("C:\\Users\\86150\\Desktop\\1.png")

注意，你需要将`font_path`参数中的路径改为你自己的中文字体文件路径。

相关问题

python利用jieba和wordcloud生成词云图

1. 安装jieba和wordcloud库

!pip install jieba
!pip install wordcloud

2. 导入库

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

3. 导入文本数据

with open('text.txt', 'r', encoding='utf-8') as f:
    text = f.read()

4. 使用jieba进行分词

text = ' '.join(jieba.cut(text))

5. 生成词云图

wordcloud = WordCloud(font_path='msyh.ttc',
                      background_color='white',
                      width=800,
                      height=600).generate(text)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()

完整代码：

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

with open('text.txt', 'r', encoding='utf-8') as f:
    text = f.read()

text = ' '.join(jieba.cut(text))

wordcloud = WordCloud(font_path='msyh.ttc',
                      background_color='white',
                      width=800,
                      height=600).generate(text)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()

python利用jieba和wordcloud生成词云图怎么做

Python利用jieba和wordcloud生成词云图的方法如下：

1. 安装jieba和wordcloud库：

pip install jieba
pip install wordcloud

2. 导入需要的库：

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

3. 读取文本文件并进行分词：

with open('text.txt', 'r', encoding='utf-8') as f:
    text = f.read()
words = jieba.cut(text)

4. 将分好的词转换为字符串并使用WordCloud生成词云图：

wordcloud = WordCloud(font_path='msyh.ttc', width=800, height=600, background_color='white').generate(' '.join(words))

plt.imshow(wordcloud)
plt.axis('off')
plt.show()

其中，`font_path`指定字体文件路径，`width`和`height`为词云图的宽度和高度，`background_color`为背景颜色，默认为黑色。最后一步使用`plt.imshow()`显示词云图，并使用`plt.axis('off')`去掉坐标轴，最后使用`plt.show()`显示词云图。

完整代码示例：

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

# 读取文本文件并进行分词
with open('text.txt', 'r', encoding='utf-8') as f:
    text = f.read()
words = jieba.cut(text)

# 生成词云图
wordcloud = WordCloud(font_path='msyh.ttc', width=800, height=600, background_color='white').generate(' '.join(words))

# 显示词云图
plt.imshow(wordcloud)
plt.axis('off')
plt.show()