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jieba库使用和好玩的词云

时间:2020-04-01 17:32:58      阅读:82      评论:0      收藏:0      [点我收藏+]

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1、词频分析:

import jieba

txt = open("小王子.txt", "r", encoding=utf-8).read()
words  = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word) == 1:  
        continue
    else:
        counts[word] = counts.get(word,0) + 1
items = list(counts.items())
items.sort(key=lambda x:x[1], reverse=True) 
for i in range(10):
    word, count = items[i]
    print ("{0:<10}{1:>5}".format(word, count))

 

运行结果:

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2、词云图:

from wordcloud import WordCloud
import matplotlib.pyplot as plt
import jieba
import numpy as np
from PIL import Image
def create_word_cloud(filename):
    txt = open("小王子.txt", "r", encoding=utf-8).read()

    wordlist = jieba.cut(txt, cut_all=True)
    wl = " ".join(wordlist)

    cloud_mask = np.array(Image.open("timg.jpg"))
    wc = WordCloud(
        background_color="white",
        mask=cloud_mask,
        max_words=1000,
        font_path=C:\Windows\Fonts\simfang.ttf,
        height=1200,
        width=1600,
        max_font_size=200,
        random_state=100,
    )

    myword = wc.generate(wl)
    plt.imshow(myword)
    plt.axis("off")
    plt.show()
    wc.to_file(p.png) 

if __name__ == __main__:
    create_word_cloud(C:\\Users\\86123\\.spyder-py3\\小王子)

 

运行结果:

技术分享图片

 技术分享图片

 

jieba库使用和好玩的词云

原文:https://www.cnblogs.com/nicaihui/p/12613642.html

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