Python Pandas：错误：丢失），位置 2 处的未终止子模式
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Python Pandas: error: missing ), unterminated subpattern at position 2
提问by Umar Yusuf
I have a dataframe which contains the characters (((I would like to replace. But I get error after doing this:
我有一个包含(((要替换的字符的数据框。但这样做后我得到错误：
data = [{'Title': 'set1((("a", "b", "c")))'},
{'Title': 'set2((("d", "e", "f")))'},
{'Title': 'set3((("g", "h", "i")))'},
{'Title': 'set4((("j", "k", "l")))'},
{'Title': 'set5((("m", "n", "o")))'},
{'Title': 'set6((("p", "q", "r")))'}]
df = pd.DataFrame(data)
df
# df['Title'] = df['Title'].str.replace('set', 'M') # Works correctly
df['Title'] = df['Title'].str.replace('(((', '>>') # Not working
How do I solve this error in order to to replace (((by >>and )))by <<?
如何解决此错误以替换(((by>>和)))by <<？
回答by furas
replacein pandaslets you use regexand (has special meaning in regexso use \(
replaceinpandas让你使用regex，(在regexso use 中有特殊含义\(
df['Title'] = df['Title'].str.replace('\(\(\(', '>>')
pandas doc: pandas.Series.str.replace
Pandas文档：pandas.Series.str.replace
回答by loretoparisi
A more general solution would be to escape the input token using re.escape
更通用的解决方案是使用 re.escape
import re
inputToken = '((('
df['Title'] = df['Title'].str.replace(re.escape(inputToken), '>>')
