熊猫：在字符串替换子熊猫：在字符串替换子(Pandas: replace substring in

我想替换子icashier.alipay.com列在df

url
icashier.alipay.com/catalog/2758186/detail.aspx
icashier.alipay.com/catalog/2758186/detail.aspx
icashier.alipay.com/catalog/2758186/detail.aspx
vk.com

到aliexpress.com 。

欲望输出

aliexpress.com/catalog/2758186/detail.aspx
aliexpress.com/catalog/2758186/detail.aspx
aliexpress.com/catalog/2758186/detail.aspx
vk.com

我尝试df['url'].replace('icashier.alipay.com', 'aliexpress.com', 'inplace=True')但它返回empty dataframe 。

Answer 1:

使用replace用dict更换和参数inplace=True和regex=True ：

df['url'].replace({'icashier.alipay.com': 'aliexpress.com'}, inplace=True, regex=True)
print (df)
                                          url
0  aliexpress.com/catalog/2758186/detail.aspx
1  aliexpress.com/catalog/2758186/detail.aspx
2  aliexpress.com/catalog/2758186/detail.aspx
3                                      vk.com

Answer 2:

使用str.replace更换子， replace外观的完全匹配，除非你传递一个正则表达式模式和param regex=True ：

In [25]:
df['url'] = df['url'].str.replace('icashier.alipay.com', 'aliexpress.com')
df['url']

Out[25]:
0    aliexpress.com/catalog/2758186/detail.aspx
1    aliexpress.com/catalog/2758186/detail.aspx
2    aliexpress.com/catalog/2758186/detail.aspx
3                                        vk.com
Name: url, dtype: object

文章来源: Pandas: replace substring in string