python 生成词云

#/usr/bin/env python

# *-*coding:utf-8 *-*

#模块介绍https://amueller.github.io/word_cloud/

#python 3.5.2

from scipy.misc import imread

from wordcloud import WordCloud

import matplotlib.pyplot as plt

filepath = '~/Download/Janeeyre.txt'

picturepath = '~/Download/anne.png'

fontpath = '~/Download/simfang.ttf'

text = open(filepath, 'r').read()

back_picture = imread(picturepath)

#设置 字体 字体间距 背景色 最多词汇数量 词云形状 最大号字体 计算和图片之间的缩放

wc = WordCloud(font_path = fontpath,

font_step = 3,

background_color = 'black',

max_words = 200,

mask = back_picture,

max_font_size = 100,

random_state = 42,

scale = 5

)

#生成词云

wc.generate(text)

#运行后显示图片

plt.figure()

plt.imshow(wc)

plt.axis('off')

plt.show()

#保存图片

wc.to_file( "Janeeyre.jpg")

'''-----------------------------------------------------------------------------------'''

#/usr/bin/env python

# *-*coding:utf-8 *-*

from scipy.misc import imread

import matplotlib.pyplot as plt

from wordcloud import WordCloud

import jieba

from collections import Counter

#读入文本

text = open('~/Download/西游记.txt').read()

#使用jieba# 分词

text_jieba = list(jieba.cut(text))

#使用 counter 做词频统计 选取出频率前100的词汇

c = Counter(text_jieba)

common_c = c.most_common(100)

#读取图片

bg_pic = imread('~/Download/anne.png')

#配置词云参数

wc = WordCloud(

font_path = '~/Download/李旭科书法.ttf',

#font_path = '/home/asu/py2/simfang.ttf',

background_color = 'white',

max_words = 2000,

mask = bg_pic,

max_font_size = 200,

)

#生成词云

wc.generate_from_frequencies(dict(common_c))

#生成图片显示

plt.figure()

plt.imshow(wc)

plt.axis('off')

plt.show()

wc.to_file('xi youji.jpg')