[英]Python 3.7.4: 're.error: bad escape \s at position 0'
[英]Replacing one string with another string using Regex in Python: Error: re.error: bad escape \w at position 0
我正在嘗試取代出現的情況; 例如“ word one”和“ word_one”。 用“ _”代替空格。
這是我的代碼:
labels_ls = ['word <= 0.01', 'word_two <= 0.23', 'word three <= 0.01']
regex_whitespace = r'\w+\s+\w+\b'
new_regex = r'\w+\_+\w+\b'
pattern = re.compile(regex_whitespace) # this I just added after reviewing other related questions
# Loop through labels_ls to find any ngrams whitespace separated labels (i.e gilt maximal)
for i in labels_ls:
if re.match(regex_whitespace, i):
# replace the whitespace with a '_' to form gilt*maximal
new_string = re.sub(pattern, new_regex, i)
print('new string: ', new_string)
我在https://pythex.org上測試了我的正則表達式,它可以按要求工作,但是當我運行此代碼時,出現以下錯誤:
re.error:位置0處的逃逸錯誤\\ w
我查看了所有相關的已回答問題:
和
我已經嘗試過刪除上述問題中提到的正則表達式前的r,但是它仍然無法正常工作。
我也嘗試使用compile(),但這也沒有解決問題
labels_ls = ['internal_punctuation <= 0.042', 'darf <= 0.717', 'formal_global_yes <= 0.5', 'wert <= 0.272', 'signal <= 0.5', 'Flesch_Index <= 0.813', 'zulass <= 0.379', 'polarity <= 0.713', 'Nb_of_auxiliary <= 0.071', 'gini = 0.0', 'polarity <= 0.375', 'gini = 0.0', 'Nb_of_verbs <= 0.094', 'weakwords_nb <= 0.143', 'passive_global_yes <= 0.5', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'Nb_of_verbs <= 0.094', 'passive_global_yes <= 0.5', 'WPS <= 0.062', 'measurement_values_no <= 0.5', 'gini = 0.0', 'SPW <= 0.575', 'weird_words <= 0.042', 'weakwords_nb <= 0.036', 'SPW <= 0.272', 'gini = 0.0', 'words_nb <= 0.033', 'gini = 0.5', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'Flesch_Index <= 0.774', 'SPW <= 0.331', 'gini = 0.0', 'gini = 0.0', 'Comp_conj <= 0.375', 'SPW <= 0.111', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'Sub_Conj <= 0.25', 'weird_words <= 0.208', 'zsdf <= 0.5', 'signal <= 0.297', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'words_nb <= 0.164', 'Aux_Start_no <= 0.5', 'gini = 0.0', 'Nb_of_Umsetzbarkeit_conj <= 0.167', 'werden <= 0.125', 'darf <= 0.297', 'polarity <= 0.925', 'SPW <= 0.376', 'WPS <= 0.11', 'numerical_values <= 0.091', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'WPS <= 0.11', 'gini = 0.0', 'gini = 0.0', 'polarity <= 0.25', 'gini = 0.0', 'Flesch_Index <= 0.663', 'words_nb <= 0.033', 'SPW <= 0.475', 'gini = 0.0', 'gini = 0.0', 'Comp_conj <= 0.125', 'gini = 0.56', 'gini = 0.0', 'Flesch_Index <= 0.75', 'gini = 0.444', 'gini = 0.0', 'Aux_Start_yes <= 0.5', 'darf <= 0.241', 'Nb_of_verbs <= 0.156', 'gini = 0.0', 'SPW <= 0.246', 'polarity <= 0.675', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'Sub_Conj <= 0.25', 'numerical_values <= 0.227', 'funktion <= 0.348', 'internal_punctuation <= 0.458', 'polarity <= 0.375', 'gini = 0.0', 'Nb_of_verbs <= 0.031', 'gini = 0.0', 'Flesch_Index <= 0.409', 'gini = 0.0', 'numerical_values <= 0.136', 'WPS <= 0.065', 'darf <= 0.359', 'Nb_of_Umsetzbarkeit_conj <= 0.167', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'formal_global_no <= 0.5', 'WPS <= 0.164', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gini = 0.0', 'gilt randbeding <= 0.181', 'fahrzeug <= 0.352', 'gini = 0.0', 'zulass <= 0.082', 'gini = 0.0', 'gini = 0.0', 'fur <= 0.194', 'weakwords_nb <= 0.321', 'gini = 0.444', 'gini = 0.0', 'gini = 0.0', 'Nb_of_Umsetzbarkeit_conj <= 0.167', 'Nb_of_verbs <= 0.344', 'gini = 0.0', 'gini = 0.0', 'words_nb <= 0.178', 'gini = 0.0', 'words_nb <= 0.224', 'gini = 0.0', 'gini = 0.0']
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