wordcloud词云——python数据分析后可视化的重要方法

Posted 2023-03-09

参考技术A import numpy as np  #数据处理

import matplotlib.pyplot as plt  #作图

from wordcloud import  WordCloud   #词云函数

import jieba  #分割中文的包

from imageio import imread  #读取图片   ....后面还有根据自己需要安装包

解决办法：在open函数中加上encoding="utf-8"

with open("./xxx.txt",'r',encoding='utf-8')as f:

    text=f.read()

    f.close()

解决办法：选择一个支持中文显示的字体。如在电脑中C:\Windows\Fonts\选择有个中文的字体，如，font = r'C:\Windows\Fonts\simfang.ttf'，后面再使用WordCloud 的参数font_path=font。

几个简单实例：

import numpy as np

import matplotlib.pyplot as plt

from wordcloud import WordCloud

text = "square"  #表示内容

x, y = np.ogrid[:300, :300]

mask = (x - 150) ** 2 + (y - 150) ** 2 > 130 ** 2

mask = 255 * mask.astype(int)

wc = WordCloud(background_color="white", repeat=True, mask=mask)

wc.generate(text)

plt.axis("off")

plt.imshow(wc, interpolation="bilinear")

plt.show()

单字内容

import os

from os import path

from wordcloud import WordCloud

# get data directory (using getcwd() is needed to support running example in generated IPython notebook)

d = path.dirname(__file__) if "__file__" in locals() else os.getcwd()

# Read the whole text.

text = open(path.join(d, 'constitution.txt')).read()

# Generate a word cloud image

wordcloud = WordCloud().generate(text)

# Display the generated image:

# the matplotlib way:

import matplotlib.pyplot as plt

plt.imshow(wordcloud, interpolation='bilinear')

plt.axis("off")

# lower max_font_size

wordcloud = WordCloud(max_font_size=40).generate(text)

plt.figure()

plt.imshow(wordcloud, interpolation="bilinear")

plt.axis("off")

plt.show()

多字的内容，内容从本地电脑中获取

from os import path

from PIL import Image

import numpy as np

import matplotlib.pyplot as plt

import os

from wordcloud import WordCloud, STOPWORDS

# get data directory (using getcwd() is needed to support running example in generated IPython notebook)

d = path.dirname(__file__) if "__file__" in locals() else os.getcwd()

# Read the whole text.

text = open(path.join(d, 'alice.txt')).read()

# read the mask image

# taken from

# http://www.stencilry.org/stencils/movies/alice%20in%20wonderland/255fk.jpg

alice_mask = np.array(Image.open(path.join(d, "alice_mask.png")))

stopwords = set(STOPWORDS)

stopwords.add("said")

wc = WordCloud(background_color="white", max_words=2000, mask=alice_mask,

              stopwords=stopwords, contour_width=3, contour_color='steelblue')

# generate word cloud

wc.generate(text)

# store to file

wc.to_file(path.join(d, "alice.png"))

# show

plt.imshow(wc, interpolation='bilinear')

plt.axis("off")

plt.figure()

plt.imshow(alice_mask, cmap=plt.cm.gray, interpolation='bilinear')

plt.axis("off")

plt.show()

使用图片来做词云

更多信息可以参看wordcloud官网：

https://amueller.github.io/word_cloud/

上面有更多的例子，上面内容也来自于网站整理。

也可参考网站：

https://blog.csdn.net/xiemanR/article/details/72796739?utm_source=blogxgwz7