例如，我有一条推文“@cintya @groot @smanela https://blog ...”，我做了一个预处理过程，链接和提及已被删除，我认为它应该丢失。但在 CSV 中，它们返回一个空值。我该如何修复它们？这是我的代码
def replaceMultiple(mainString, toBeReplaces, newString):
for elem in toBeReplaces :
if elem in mainString :
mainString = mainString.replace(elem, newString)
return mainString
with open('datalatihNegatif.csv', encoding='utf-8') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
for row in readCSV:
_word = []
username = row[0]
date = row[1]
text = row[2].lower()
text = re.sub(r'@[A-Za-z0-9_]+','',text)
text = re.sub(r'http\S+', '',text)
text = replaceMultiple(text, ["!","@","#","$","%","^","&","*","(",
")","_","-","+","=","{","}","[","]",
"\\","/",",",".","?","<",">",":",";",
"'",'"',"~","0","1","2","3","4","5","6","7","8","9"], '')
text = text.strip()
nltk_tokens = nltk.word_tokenize(text)
stop_words = set(stopwords.words("indonesian"))
stop_words_new = ['i','liked','video','an','at','ba','da','do','ka','ma','ta','uh','yg','al','eh','ha','ah','ng']
new_stopwords_list = stop_words.union(stop_words_new)
print(username)
print(date)
for word in nltk_tokens:
if word not in new_stopwords_list:
if stemmer.stem(word) != "":
_word.append(stemmer.stem(word))
print(_word)
csvFile = open('preprocessingDLNegatif.csv', 'a', newline='')
csvWriter = csv.writer(csvFile)
csvWriter.writerow(_word)
csvFile.close()
我希望 CSV 中的结果被删除，但实际输出是空值 CSV 481 中的1 行是空值，我该如何删除它？
在_word写出任何东西之前检查一下如何：
if len(_word) != 0:
csvFile = open('preprocessingDLNegatif.csv', 'a', newline='')
csvWriter = csv.writer(csvFile)
csvWriter.writerow(_word)
csvFile.close()
我也不会为你写的每条记录打开关闭输出文件。在循环之前打开它一次，完成后关闭它。这样做会使我的答案看起来像：
if len(_word) != 0:
csvWriter.writerow(_word)
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