diff --git a/英文.py b/英文.py
new file mode 100644
index 0000000..7fea9f9
--- /dev/null
+++ b/英文.py
@@ -0,0 +1,41 @@
+
+import numpy as np
+from wordcloud import WordCloud
+import matplotlib.pyplot as plt
+from wordcloud import STOPWORDS
+def getTxt():
+    txt = open(r'C:\jieba-python\英文\xxx.txt').read()
+    txt = txt.lower()
+    for ch in '!"@#$%^&*()+,-./:;<=>?@[\\]_`~{|}':
+        txt = txt.replace(ch, ' ')
+    return txt
+hamletTxt = getTxt()
+words = hamletTxt.split()
+counts = {}
+for word in words:
+    counts[word] = counts.get(word,0) + 1
+for word in list(STOPWORDS):
+    counts.pop(word, 0)
+    items = list(counts.items())
+    items.sort(key = lambda x:x[1], reverse = True)
+infos, counts = [], []
+for i in range(10):
+    word, count = items[i]
+    infos.append(word)
+    counts.append(count)
+    print('{0:<10}{1:>5}'.format(word, count))
+plt.bar(range(len(infos)), counts, width=0.8)
+plt.xticks(list(range(0, 10)), infos, fontsize=12)
+for a, b in zip(np.arange(len(infos)), counts):
+    plt.text(a, b, '%d' % b, ha='center', va='bottom', fontsize=12)
+plt.savefig(r'C:\jieba-python\英文\tb1.png', dpi=300, bbox_inches='tight')
+text_y = open(r"C:\jieba-python\英文\xxx.txt").read()
+wordcloud = WordCloud(width=800, height=600,background_color="white", max_words=2000)
+ax = wordcloud.generate(text_y)
+width,height = 24, 14
+plt.figure()                        
+plt.figure(figsize=(width,height))
+plt.imshow(ax, interpolation='bilinear')
+plt.axis('off')
+plt.show()
+wordcloud.to_file("C:\jieba-python\英文\\xxx.png")