import jieba
from wordcloud import WordCloud
import numpy as np
from PIL import Image
from matplotlib import colors

f = open(r'text.txt', "r", encoding="utf-8")
text = f.read()
f.close()
words_list_jieba = jieba.lcut(text)


def findifhave(demo, stop):
    for ret in stop:
        if (demo == ret):
            return 'T'


stop = ['\n']
with open("stop.txt", 'r', encoding='utf-8') as f1:
    for line in f1:
        stop.append(line.replace("\n", ""))
f1.close()

dict = {}
for key in words_list_jieba:
    dict[key] = dict.get(key, 0) + 1

for demo in list(dict.keys()):
    if ('T' == findifhave(demo, stop)):
        del dict[demo]

dict1 = sorted(dict.items(), key=lambda d: d[1], reverse=True)
print(dict1)

background_image = np.array(Image.open('001.png'))
colormaps = colors.ListedColormap(['#871A84', '#BC0F6A', '#BC0F60', '#CC5F6A', '#AC1F4A'])
wordcloud = WordCloud(font_path='SimHei.ttf',  # 字体
                      prefer_horizontal=0.99,
                      background_color='white',  # 背景色
                      max_words=20,  # 显示单词数
                      max_font_size=400,  # 最大字号
                      stopwords=stop,  # 过滤噪声词
                      mask=background_image,  # 背景轮廓
                      colormap=colormaps,  # 使用自定义颜色
                      collocations=False
                      ).fit_words(dict)
image = wordcloud.to_image()
image.show()  # 展示图片
wordcloud.to_file('词云图.png')  # 保存图片