python生成词云（可变形状，可变文字颜色）_词云可变现

@python生成词云（可变形状，可变文字颜色）
以《红楼梦》为例：

#调用jieba、wordcloud、PIL、numpy、matplotlib库
import jieba
from wordcloud import WordCloud,ImageColorGenerator
import matplotlib.pyplot as plt
from matplotlib import colors
from PIL import Image
import numpy as np
#读取文件
path_text='C:\\Users\86181\\.spyder-py3\\红楼梦.txt'
path_img='C:\\Users\\86181\\Desktop\\5.jpg'
#设置图片背景
background_image=np.array(Image.open(path_img))
mask=background_image
#建立颜色数组，可更改颜色
color_list=['#FF7F00','#FF7F00']
#调用
colormap=colors.ListedColormap(color_list)
#筛选词
excludes={"什么","一个","我们","那里","你们","如今",\
    "说道","知道","老太太","起来","姑娘","这里",\
    "出来","他们","众人","自己","一面","太太",\
    "只见","怎么","奶奶","两个","没有","不是",\
    "不知","这个","听见","咱们","就是","进来","东西"}
f=open(path_text,"r",encoding='utf-8')
txt=f.read()
f.close()
#中文分词函数，用于精确模式，即将字符串分割成等量的中文词组，返回结果是列表类型
words=jieba.lcut(txt) 
#排除单个字符的分词结果，get方法，键存在则返回相应值，否则返回0
counts={}
for word in words:
    if len(word)==1:  
        continue
    else:
        counts[word]=counts.get(word,0)+1
 #如果含有excludes里的单词，删掉
for word in excludes:
del(counts[word]) 
#items方法，返回所有的键值
items=list(counts.items()) 
#按降序排序
items.sort(key=lambda x:x[1],reverse=True)
 for i in range(8):
    word,count=items[i]
    print("{0:<5}{1:>5}".format(word,count))
#生成词云
newtxt=''.join(words)
wordcloud=WordCloud(font_path=r'C:\Windows\Fonts\msyh.ttc',\
                    background_color="white",\  
                    stopwords=excludes,\
                    colormap=colormap,\
                    mask=mask,
                    ).generate(newtxt)
#保存词云图片
fig = plt.figure()
plt.imshow(wordcloud)
plt.axis('off')
plt.show()
plt.savefig('D:\\picture.jpg',dpi=500)

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展示结果：