删除DataFrame中的多个空格 [英] Remove Multiple Blanks In DataFrame

问题描述

如何在python中删除两个字符串之间的多个空格.

How do I remove multiple spaces between two strings in python.

例如:-

"Bertug 'here multiple blanks' Mete" => "Bertug        Mete"

到

"Bertug Mete" 

从.xls文件读取输入.我试过使用split()，但它似乎没有按预期工作.

Input is read from an .xls file. I have tried using split() but it doesn't seem to work as expected.

import pandas as pd , string , re

dataFrame = pd.read_excel("C:\\Users\\Bertug\\Desktop\\example.xlsx")

#names1 =  ''.join(dataFrame.Name.to_string().split()) 

print(type(dataFrame.Name))

#print(dataFrame.Name.str.split())

让我知道我在哪里做错了.

Let me know where I'm doing wrong.

推荐答案

我认为使用replace:

df.Name = df.Name.replace('\s+', ' ', regex=True)

示例:

df = pd.DataFrame({'Name':['Bertug     Mete','a','Joe    Black']})
print (df)
              Name
0  Bertug     Mete
1                a
2     Joe    Black

df.Name = df.Name.replace('\s+', ' ', regex=True)
#similar solution
#df.Name = df.Name.str.replace('\s+', ' ')
print (df)
          Name
0  Bertug Mete
1            a
2    Joe Black

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