#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date    : 2017-10-18 17:52:25
# @Author  : awakeljw ([email protected])
# @Link    : http://blog.csdn.net/awakeljw/
# @Version : $Id$


from wordcloud import WordCloud
import jieba
import PIL
import matplotlib.pyplot as plt
import numpy as np
from collections import
 
 Counter
import matplotlib
from pylab import mpl
mpl.rcParams['font.sans-serif'] = ['SentyTang'] # 指定預設字型
mpl.rcParams['axes.unicode_minus'] = False  
matplotlib.rc('xtick', labelsize=14)
matplotlib.rc('ytick', labelsize=14)
def wordcloudplot(txt):
    path='字型檔案'
#    path=unicode(path, 'utf8').encode('gb18030')
 

    alice_mask = np.array(PIL.Image.open('圖片檔案'))
    wordcloud = WordCloud(font_path=path, 
                          background_color="white",   
                          margin=5, width=1800, height=800,mask=alice_mask,max_words=2000,max_font_size=60,random_state=42) 
    wordcloud = wordcloud.generate(txt)
    wordcloud.to_file('輸出檔案'
 
)
    plt.imshow(wordcloud)
    plt.axis("off")
    plt.show()

rem = ['，','、','。','的','和','\u3000','圖','串','“','”',' ','與','是','端','在','中','了','\n']    
def main():
    a=[]
    f=open(r'I:\tensorflow\ciyun\paper.txt','r',encoding='gb18030').read()
    words=list(jieba.cut(f))
    tongji = Counter(words).most_common(20)

    d = {key: value for (key, value) in tongji}  

    for i in list(d.keys()):
        if i in rem:
            d.pop(i) 
    print (d)
    label = list(d.keys())
    y = list(d.values())
    idx = np.arange(len(y))
    plt.barh(idx,y)
    plt.yticks(idx+0.4,label) 
    plt.xlabel('出現次數',fontsize = 20,labelpad = 5)
    plt.ylabel('關鍵詞',fontsize= 20,labelpad = 5)
    plt.title('渦流發生器對激波串振盪的控制',fontsize= 25)
    plt.savefig('輸出詞頻圖示')
    #plt.show()
    #繪製pie chart on polar axis
    N = len(d)
    theta = np.arange(0.0, 2*np.pi,2*np.pi/N)
    radii = y
    width = np.pi/6
    ax = plt.subplot(111,projection='polar')
    bars = ax.bar(theta, radii, width = width, bottom = 0.0)
    plt.xticks(theta+np.pi/12,label)
    for r, bar in zip(radii, bars):
        bar.set_facecolor(plt.cm.viridis(r / 10.))
        bar.set_alpha(0.5)

    plt.savefig('輸出pie極座標圖')
    plt.show()

    for word in words:
        if len(word)>1:
            a.append(word)
    txt=r' '.join(a)
    wordcloudplot(txt)#輸出詞雲

if __name__=='__main__':
    main()

1.安裝wordcloud，jieba
http://www.lfd.uci.edu/~gohlke/pythonlibs/#wordcloud下載對應的python版本，在cmd中輸入pip install I:/wordcloud-1.3.2-cp35-cp35m-win_amd64.whl安裝即可
jieba：pip install jieba
2.修改字型檔案
找到python安裝位置：C:\Anaconda3\Lib\site-packages\matplotlib\mpl-data\fonts\ttf新增自己下載的中文字型，
刪除個人使用者下的.matplotlib檔案
3.新增字型檔案和圖片
4.更改程式碼中的檔案和圖片路徑
5.執行除錯

結果展示