#3
with open(r"E:\1.txt",'r') as f:
f1 = f.read().swapcase()
print(f1)
with open(r"E:\1.txt", 'w') as f:
f.write(f1)
#4
def process_file(dst): # 读文件到缓冲区
try: # 打开文件
f = open(dst, 'r')
except IOError as s:
print(s)
return None
try: # 读文件到缓冲区
bvffer = f.read()
except:
print("Read File Error!")
return None
f.close()
return bvffer
def process_buffer(bvffer):
if bvffer:
word_freq = {}
# 下面添加处理缓冲区 bvffer代码,统计每个单词的频率,存放在字典word_freq
bvffer = bvffer.lower()
for ch in '“‘!;,.?”':
bvffer = bvffer.lower().replace(ch, " ") #将所有字母转换成小写,便于统计
words = bvffer.strip().split() #strip消除空白符,split以空格作为单词分界
for word in words:
word_freq[word] = word_freq.get(word, 0)+1 #读取到的单词存放到字典
return word_freq
def output_result(word_freq):
if word_freq:
sorted_word_freq = sorted(word_freq.items(), key=lambda v: v[1], reverse=True)
for item in sorted_word_freq[:10]: # 输出 Top 10 的单词
print (item[0], item[1],)
if __name__ == "__main__":
dst = r"E:\2.txt"
bvffer = process_file(dst)
word_freq = process_buffer(bvffer)
output_result(word_freq)