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# -*- coding: utf-8 -*-
from collections import Counter
from cppy . cp_util import *
from functools import reduce
stop_words = get_stopwords ( )
# map - reduce
def process_chunk ( chunk ) : # 过滤停用词
words = [ w for w in chunk if ( not w in stop_words ) and len ( w ) > = 3 ]
return Counter ( words )
def merge_counts ( count1 , count2 ) :
return count1 + count2
@timing_decorator
def main ( ) :
# 读数据，
chunks = get_chunks ( testfilepath , 1000 )
# 使用 map 方法和 process_chunk 函数处理每个分区
counts_list = list ( map ( process_chunk , chunks ) )
# 使用 reduce 和 merge_counts 函数统计所有分区的词频
total_counts = ( reduce ( merge_counts , counts_list ) )
# 输出最高频的n个词
print_word_freqs ( total_counts . most_common ( 10 ) )
if __name__ == ' __main__ ' :
main ( )
