2017**********7025

贾鸿森

def process_file(dst): # 读文件到缓冲区

try: # 打开文件

x = open(dst,"r")

except IOError as s:

print (s)

return None

try: # 读文件到缓冲区

bvffer = x.read()

except:

print ('Read File Error!')

return None

x.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

for ch in'"!?;,."':

bvffer = bvffer.lower().replace(ch,"")

word = bvffer.strip().split()

for word in word:

word_freq[word] = word_freq.get(word,0)+1

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)

if __name__ == "__main__":

import argparse

parser = argparse.ArgumentParser()

parser.add_argument('dst')

args = parser.parse_args()

dst = args.dst

bvffer = process_file(dst)

word_freq = process_buffer(bvffer)

output_result(word_freq)

 

 

 通过这次作业我掌握了这种查询方法