使用 str.replace 从 Pandas 中的字符串中删除括号
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Removing parenthesis from a string in pandas with str.replace
提问by python_new_user
I have a a list of countries where some have a space an parenthesis afterfor example, Bolivia (Plurinational State of).
我有一份国家清单，其中有些国家在括号后有空格，例如，玻利维亚（多民族国）。
Why doesn't my code below work to only keep Bolivia?
为什么我下面的代码不能只保留玻利维亚？
energy['Country'] = energy['Country'].str.replace("Bolivia (Plurinational State of)","Bolivia")
回答by Boud
str.replaceuses regex to perform replacements. The parentheses must be escaped to keep them as simple characters:
str.replace使用正则表达式执行替换。必须对括号进行转义以将它们保留为简单字符：
energy['Country'].str.replace("Bolivia \(Plurinational State of\)","Bolivia")
You can automate escaping like this:
您可以像这样自动转义：
import re
energy['Country'].str.replace(re.escape('Bolivia (Plurinational State of)'),"Bolivia")
回答by python_new_user
This removed all instances of where there were parentheses with words in them:
这删除了括号中包含单词的所有实例：
energy['Country'] = energy['Country'].str.replace(r"\(.*\)","")
回答by Haha TTpro
energy['Country'] = energy['Country'].str.replace(r"\s+\(.*\)","")
Solution of @python_new_user but solve a white trailing problem mention by @Boud
@python_new_user 的解决方案，但解决了@Boud 提到的白色拖尾问题
