相关疑难解决方法(0)

我有以下代码

import nltk, os, json, csv, string, cPickle
from scipy.stats import scoreatpercentile

lmtzr = nltk.stem.wordnet.WordNetLemmatizer()

def sanitize(wordList): 
answer = [word.translate(None, string.punctuation) for word in wordList] 
answer = [lmtzr.lemmatize(word.lower()) for word in answer]
return answer

words = []
for filename in json_list:
    words.extend([sanitize(nltk.word_tokenize(' '.join([tweet['text'] 
                   for tweet in json.load(open(filename,READ))])))])

我写的时候,我在一个单独的testing.py文件中测试过2-4行

import nltk, os, json, csv, string, cPickle
from scipy.stats import scoreatpercentile

wordList= ['\'the', 'the', '"the']
print wordList
wordList2 = [word.translate(None, string.punctuation) for word in wordList]
print wordList2
answer = [lmtzr.lemmatize(word.lower()) for word …

我被赋予了从文本文件或字符串中删除所有非数字字符(包括空格)的任务,然后在旧字符旁边打印新结果,例如:

之前:

sd67637 8

后:

sd67637 8 = 676378

由于我是初学者,我不知道从哪里开始这项任务.请帮忙

我想按如下方式转换这些二进制表示。

"1111" -> "0000"
"1010" -> "0101"