大 pandas 替换(擦除)字符串中的不同字符 [英] pandas replace (erase) different characters from strings

问题描述

我有一份高中名单.我想从字符串中删除某些字符、单词和符号.

I have a list of high schools. I would like to erase certain characters, words, and symbols from the strings.

我目前拥有:

df['schoolname'] = df['schoolname'].str.replace('high', "")

不过，我想用一个列表来快速替换high、school、/等

However, I would like to use a list so I can quickly replace high, school, /, etc.

有什么建议吗?

df['schoolname'] = df['schoolname'].str.replace(['high', 'school'], "") 

不起作用

推荐答案

使用正则表达式(用|分隔字符串):

Use regex (seperate the strings by |):

df['schoolname'] = df['schoolname'].str.replace('high|school', "")

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