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运行生成一个词云图.py

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+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