Create 1001S01E06_stats_word.py

Author: GH201903

19100401/Songhan/1001S01E06_stats_word.py

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+text='''
+The Zen of Python, by Tim Peters
+Beautiful is better than ugly.
+Explicit is better than implicit.
+Simple is better than complex.
+Complex is better than complicated.
+Flat is better than nested.
+Sparse is better than dense.
+Readability counts.
+Special cases aren't special enough to break the rules.
+Although practicality beats purity.
+Errors should never pass silently.
+Unless explicitly silenced.
+In the face of ambxiguity, refuse the temptation to guess.
+There should be one-- and preferably only one --obvious way to do it.
+Although that way may not be obvious at first unless you're Dutch.
+Now is better than never.
+Although never is often better than *right* now.
+If the implementation is hard to explain, it's a bad idea.
+If the implementation is easy to explain, it may be a good idea.
+Namespaces are one honking great idea -- let's do more of those!
+
+乡愁      余光中
+小时候，
+乡愁是一枚小小的邮票，
+我在这头，
+母亲在那头。
+长大后，
+乡愁是一张窄窄的船票，
+我在这头，
+新娘在那头。
+后来啊，
+乡愁是一方矮矮的坟墓，
+我在外头，
+母亲在里头。
+而现在，
+乡愁是一湾浅浅的海峡，
+我在这头，
+大陆在那头。
+'''
+
+import re
+fuhao=",.!-*&，。" #去除字符串中所有除单词和汉字以外的符号
+for str in fuhao:
+    text=text.replace(str,'')
+print(text)
+
+#创建一个名为stats_text_en的函数
+#使用字典（dicict）统计字符串样本text中各个英文单词出现的次数
+
+def stats_text_en(text):
+    '''统计单词次数.
+    使用字典（dict）统计text中每个英文单词出现的次数.'''
+    result=re.sub("[^A-Za-z]"," ",text.strip())
+    dic={}
+    for x in result.split():
+        if not x in dic:
+            dic[x]=1
+        else:
+            dic[x]=dic[x]+1
+    return dic
+#print(stats_text_en(text))
+frequency = stats_text_en(text)
+print('**********************************************')
+print("按照出现次数从大到小输出所有的单词及出现的次数")
+print('**********************************************')
+print(sorted(frequency.items(),key=lambda frequency:frequency[1],reverse=True))
+
+#创建一个名为stats_text_cn的函数，功能：统计每个中文汉字出现的次数
+def stats_text_cn(text):
+  '''统计汉字次数.
+    
+    使用字典（dict)统计text中每个汉字出现的次数.'''
+  dictionary={}  #引用一个空字典
+  for i in text:
+     if u'\u4e00' <= i <= u'\u9fa5':   #提取中文汉字   \u是unincode编码，u4e00是十六进制表达值
+         dictionary[i]=text.count(i)
+  return dictionary
+#print(stats_text_cn(text))
+frequency = stats_text_cn(text)
+print('**********************************************')
+print("按照出现次数从大到小输出所有的汉字及出现的次数")
+print('**********************************************')
+print (sorted(frequency.items(), key=lambda frequency: frequency[1],reverse=True))