Zac*_*ach 13 python encoding utf-8 scikit-learn
我正在将一堆RTF文件读入python字符串.在某些文本中,我收到此错误:
Traceback (most recent call last):
File "11.08.py", line 47, in <module>
X = vectorizer.fit_transform(texts)
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
716, in fit_transform
X = super(TfidfVectorizer, self).fit_transform(raw_documents)
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
398, in fit_transform
term_count_current = Counter(analyze(doc))
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
313, in <lambda>
tokenize(preprocess(self.decode(doc))), stop_words)
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
224, in decode
doc = doc.decode(self.charset, self.charset_error)
File "C:\Python27\lib\encodings\utf_8.py", line 16, in decode
return codecs.utf_8_decode(input, errors, True)
UnicodeDecodeError: 'utf8' codec can't decode byte 0x92 in position 462: invalid
start byte
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我试过了:
什么都行不通.有任何想法吗?
它可能没有关系,但是这里有你想知道的代码:
f = open(dir+location, "r")
doc = Rtf15Reader.read(f)
t = PlaintextWriter.write(doc).getvalue()
texts.append(t)
f.close()
vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5, stop_words='english')
X = vectorizer.fit_transform(texts)
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Jos*_*era 10
这将解决您的问题:
import codecs
f = codecs.open(dir+location, 'r', encoding='utf-8')
txt = f.read()
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从那一刻起,txt采用unicode格式,您可以在代码中的任何位置使用它.
如果要在处理后生成UTF-8文件,请执行以下操作:
f.write(txt.encode('utf-8'))
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