Python Pandas ŌĆō Remove numbers from string in a DataFrame column

要从字符串中删除数字，可以使用replace()方法并简单替换。让我们首先导入所需的库−

import pandas as pd

创建具有学生记录的数据框。 Id列具有带有数字的字符串−

dataFrame = pd.DataFrame(
   {
      "Id": ['S01','S02','S03','S04','S05','S06','S07'],"Name": ['Jack', 'Robin', 'Ted', 'Robin', 'Scarlett', 'Kat', 'Ted'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass']
   }
)

从特定列中的字符串中删除数字，即这里的“ Id”−

dataFrame['Id'] = dataFrame['Id'].str.replace('\d+', '')

示例

以下是代码−

import pandas as pd

# 创建具有学生记录的数据框
dataFrame = pd.DataFrame(
   {
      "Id": ['S01','S02','S03','S04','S05','S06','S07'],"Name": ['Jack', 'Robin', 'Ted', 'Robin', 'Scarlett', 'Kat', 'Ted'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass']
   }
)

print"DataFrame ...\n",dataFrame

# 从特定列中的字符串中删除数字
dataFrame['Id'] = dataFrame['Id'].str.replace('\d+', '')

print"\nUpdated DataFrame...\n", dataFrame

输出

这将产生以下输出−

DataFrame ...
     Id      Name   Result
0   S01      Jack     Pass
1   S02     Robin     Fail
2   S03       Ted     Pass
3   S04     Robin     Fail
4   S05  Scarlett     Pass
5   S06       Kat     Pass
6   S07       Ted     Pass

Updated DataFrame...
   Id      Name   Result
0   S      Jack     Pass
1   S     Robin     Fail
2   S       Ted     Pass
3   S     Robin     Fail
4   S  Scarlett     Pass
5   S       Kat     Pass
6   S       Ted     Pass