这是我正在处理的代码,我希望输出作为递减的计数,如果计数相同,则按名称排序。
from collections import Counter
import re
from nltk.corpus import stopwords
import operator
text = "The quick brown fox jumped over the lazy dogs bowl. The dog was angry with the fox considering him lazy."
def tokenize(text):
tokens = re.findall(r"\w+|\S", text.lower())
#print(tokens)
tokens1 = []
for i in tokens:
x = re.findall(r"\w+|\S", i, re.ASCII)
for j in x:
tokens1.append(j)
return tokens
tok = tokenize(text)
punctuations = ['(',')',';',':','[',']',',', '...', '.', '&']
keywords = [word for word in tok if not word in punctuations]
cnt = Counter()
d= {}
for word in keywords:
cnt[word] += 1
print(cnt)
freq = operator.itemgetter(1)
for k, v in sorted(cnt.items(), reverse=True, key=freq):
print("%3d %s" % (v, k))
当前输出:
4 the
2 fox
2 lazy
1 quick
1 brown
1 jumped
1 over
1 dogs
1 bowl
1 dog
1 was
1 angry
1 with
1 considering
1 him
必需的输出:
4 the
2 fox
2 lazy
1 angry
1 bowl
1 brown
1 considering
1 dog
1 dogs
等
答案 0 :(得分:0)
使用返回元组的排序函数。元组中的第一项是计数的倒数(字典中的值),第二项是字符串(字典中的键)。您可以通过删除变量freq
,删除对sorted的调用中的关键字reverse
,并为字典中的每个项提供一个返回(-value,key)的lambda函数来完成此操作。该计划的最后几行是:
print(cnt)
for k, v in sorted(cnt.items(), key=lambda item: (-item[1], item[0])):
print("%3d %s" % (v, k))
签署lambda函数的原因是获取正确的排序顺序,因为默认排序顺序从最低到最高。