从熊猫中的字符串中删除字符

问题描述:

我对此有一个类似的问题: Pandas DataFrame:从一列中的字符串中删除不需要的部分.

I have a similar question to this one: Pandas DataFrame: remove unwanted parts from strings in a column.

所以我用过:

temp_dataframe['PPI'] = temp_dataframe['PPI'].map(lambda x: x.lstrip('PPI/'))

大多数项目都以"PPI/"开头,但并非全部.似乎当没有'PPI/'后缀的项目遇到此错误时:

Most, of the items start with a 'PPI/' but not all. It seems that when an item without the 'PPI/' suffix encountered this error:

AttributeError:"float"对象没有属性"lstrip"

AttributeError: 'float' object has no attribute 'lstrip'

我在这里想念东西吗?

使用替换:

temp_dataframe['PPI'].replace('PPI/','',regex=True,inplace=True)

string.replace :

temp_dataframe['PPI'].str.replace('PPI/','')