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from cppy . cp_util import *
from collections import Counter
# 准备词和停用词表
stop_words = set ( open ( stopwordfilepath ) . read ( ) . split ( ' , ' ) )
stop_words . update ( list ( string . ascii_lowercase ) )
# 读取文件并计算单词频率
word_freqs = Counter ( )
with open ( testfilepath , encoding = ' utf8 ' ) as f :
for line_num , line in enumerate ( f , 1 ) :
start_char = None
for i , c in enumerate ( line ) :
if start_char is None and c . isalnum ( ) :
start_char = i
elif start_char is not None and not c . isalnum ( ) :
word = line [ start_char : i ] . lower ( )
if word not in stop_words :
word_freqs [ word ] + = 1
start_char = None
# 打印前10个最常见的单词
for word , freq in word_freqs . most_common ( 10 ) :
print ( f " { word } - { freq } " )
'''
相比 A01
使用collections.Counter来计数单词频率, 从而简化了代码并提高了效率。
使用enumerate来获取行号和行内容, 使用set来存储停用词, 都有助于提高代码的性能和可读性。
使用most_common方法来获取最常见的单词, 使输出更为简洁。
'''