CODEWITHSUNDEEP
pythonpandasreplacedataframesubstring
NineWasps
NineWasps

Reputation: 2273

Pandas: replace substring in string

I want to replace substring icashier.alipay.com in column in 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

to aliexpress.com.

Desire output

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

I try df['url'].replace('icashier.alipay.com', 'aliexpress.com', 'inplace=True') but it return empty dataframe.

Upvotes: 28

Views: 44093

Answers (3)

Lukas
Lukas

Reputation: 2312

In case someone (like me) needs to replace substring in whole DataFrame:

df = df.apply(lambda col: col.str.replace('icash...', 'aliex...'))

or just in defined columns (and all others remain unchanged):

cols = ['a', 'c'] # list of all columns with value to replace
df = df.apply(lambda col: col.str.replace('icash...', 'aliex...') if col.name in cols else col)

Upvotes: 2

jezrael
jezrael

Reputation: 863631

Use replace with dict for replacing and regex=True:

df['url'] = df['url'].replace({'icashier.alipay.com': 'aliexpress.com'}, 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

Upvotes: 47

EdChum
EdChum

Reputation: 394439

use str.replace to replace a substring, replace looks for exact matches unless you pass a regex pattern and 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

Upvotes: 31

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