我正在尝试编写一个程序,该程序将读入文本文件并输出最常见的单词列表(现在代码编写为30)及其计数。像这样的东西:
word1 count1
word2 count2
word3 count3
... ...
... ...
wordn countn
按count1> count2> count3> ...> countn的顺序排列。这是我到目前为止,但我不能得到排序函数来执行我想要的。我现在得到的错误是:
TypeError: list indices must be integers, not tuple
我是python的新手。任何帮助,将不胜感激。谢谢。
def count_func(dictionary_list):
return dictionary_list[1]
def print_top(filename):
word_list = {}
with open(filename, 'r') as input_file:
count = 0
#best
for line in input_file:
for word in line.split():
word = word.lower()
if word not in word_list:
word_list[word] = 1
else:
word_list[word] += 1
#sorted_x = sorted(word_list.items(), key=operator.itemgetter(1))
# items = sorted(word_count.items(), key=get_count, reverse=True)
word_list = sorted(word_list.items(), key=lambda x: x[1])
for word in word_list:
if (count > 30):#19
break
print "%s: %s" % (word, word_list[word])
count += 1
# This basic command line argument parsing code is provided and
# calls the print_words() and print_top() functions which you must define.
def main():
if len(sys.argv) != 3:
print 'usage: ./wordcount.py {--count | --topcount} file'
sys.exit(1)
option = sys.argv[1]
filename = sys.argv[2]
if option == '--count':
print_words(filename)
elif option == '--topcount':
print_top(filename)
else:
print 'unknown option: ' + option
sys.exit(1)
if __name__ == '__main__':
main()
from collections import Counter
for word, count in Counter(words).most_common(30):
print(word, count)
一些未经请求的建议:在一切都作为一大块代码工作之前,不要制作这么多功能。在工作之后重构为函数。你甚至不需要这么小的脚本的主要部分。
使用itertools
'groupby
:
from itertools import groupby
words = sorted([w.lower() for w in open("/path/to/file").read().split()])
count = [[item[0], len(list(item[1]))] for item in groupby(words)]
count.sort(key=lambda x: x[1], reverse = True)
for item in count[:5]:
print(*item)
count.sort(key=lambda x: x[1], reverse = True)
reverse = True
首先列出最常用的单词。for item in count[:5]:
[:5]
定义了要显示的最常出现的单词的数量。第一种方法正如其他人所建议的那样,即使用most_common(...)
根据你的需要不起作用,因为它返回第n个最常见的单词,而不是其计数小于或等于n
的单词:
这是使用most_common(...)
:注意它只打印第n个最常见的单词:
>>> import re
... from collections import Counter
... def print_top(filename, max_count):
... words = re.findall(r'\w+', open(filename).read().lower())
... for word, count in Counter(words).most_common(max_count):
... print word, count
... print_top('n.sh', 1)
force 1
正确的方法如下,注意它打印所有计数小于等于count的单词:
>>> import re
... from collections import Counter
... def print_top(filename, max_count):
... words = re.findall(r'\w+', open(filename).read().lower())
... for word, count in filter(lambda x: x[1]<=max_count, sorted(Counter(words).items(), key=lambda x: x[1], reverse=True)):
... print word, count
... print_top('n.sh', 1)
force 1
in 1
done 1
mysql 1
yes 1
egrep 1
for 1
1 1
print 1
bin 1
do 1
awk 1
reinstall 1
bash 1
mythtv 1
selections 1
install 1
v 1
y 1
这是我的python3解决方案。我在接受采访时被问到这个问题,面试官很高兴这个解决方案,尽管在时间限制较少的情况下,上面提供的其他解决方案对我来说似乎更好。
dict_count = {}
lines = []
file = open("logdata.txt", "r")
for line in file:# open("logdata.txt", "r"):
lines.append(line.replace('\n', ''))
for line in lines:
if line not in dict_count:
dict_count[line] = 1
else:
num = dict_count[line]
dict_count[line] = (num + 1)
def greatest(words):
greatest = 0
string = ''
for key, val in words.items():
if val > greatest:
greatest = val
string = key
return [greatest, string]
most_common = []
def n_most_common_words(n, words):
while len(most_common) < n:
most_common.append(greatest(words))
del words[(greatest(words)[1])]
n_most_common_words(20, dict_count)
print(most_common)