给定一个文本文件news.txt和一个词典文件dict.txt
要求 :
–对文本进行词汇切分
–计算每个词汇在txt中出现的次数，并按降序排列
–过滤掉长度小于2的单字
–分成若干列，显示词汇及出现的次数，从左到右，从上到下降序
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
| '''
请将dict.txt和news.txt放在.py的同级目录下
'''
import os
def _path(name, root=None):
return os.path.join(root or os.getcwd(),name)
with open(_path(r'dict.txt')) as f:
keyd = {kw.strip('\n'):0 for kw in f}
maxk = max(map(len,keyd))
def _getKey(s):
for i in range(len(s), 1, -1):
if s[:i] in keyd:
keyd[s[:i]]+=1
return i
else:
return 1
def _pline(s):
index_s = 0
index_e = maxk
end = len(s)
while index_s < end:
move = _getKey(s[index_s:index_e])
index_s += move
index_e += move
with open(_path(r'news.txt')) as f:
for pg in f:
pg = pg.strip('\n')
if pg:
_pline(pg)
n = int(input('分几列显示? ').strip())
out = sorted(keyd.items(), key = lambda x: x[1], reverse= True)
out = filter(lambda x:x[1], out)
for i,x in enumerate(out):
if not i%n and i:
print('\n')
print(f' {x[0]: >{maxk}}:{x[1]:>3}', end='')
|