优化python中消除重音的方法

Question

我正在从DataFrame中移除口音和特殊字符，但是我的做法对我来说并不是最理想的，我该如何改进呢？

谢谢。

代码：

import pandas as pd

m = pd.read_excel('file.xlsx')

print(m)
m['hola']=m['hola'].str.replace(r"\W","")
m['hola']=m['hola'].str.replace(r"á","a")
m['hola']=m['hola'].str.replace(r"é","e")
m['hola']=m['hola'].str.replace(r"í","i")
m['hola']=m['hola'].str.replace(r"ó","o")
m['hola']=m['hola'].str.replace(r"ú","u")
m['hola']=m['hola'].str.replace(r"Á","A")
m['hola']=m['hola'].str.replace(r"É","E")
m['hola']=m['hola'].str.replace(r"Í","I")
m['hola']=m['hola'].str.replace(r"Ó","O")
m['hola']=m['hola'].str.replace(r"Ú","U")
print(m)

Answer 1

您可以使用特殊字符作为键，将它们替换为值，创建一个字典：

d = {}
d["á"] = "a".... etc.
x = "árwwwe"
for character in x:
    if character in d.keys():
        x = x.replace(character, d[character])
print(x)

输出：

arwwwe