Pandas: Extract email from a specified column of string type of a given DataFrame

Last update on May 02 2025 12:51:37 (UTC/GMT +8 hours)

24. Extract Email from Column

Write a Pandas program to extract email from a specified column of string type of a given DataFrame.

Sample Solution:

Python Code :

import pandas as pd
import re as re
pd.set_option('display.max_columns', 10)
df = pd.DataFrame({
    'name_email': ['Alberto Franco af@gmail.com','Gino Mcneill gm@yahoo.com','Ryan Parkes rp@abc.io', 'Eesha Hinton', 'Gino Mcneill gm@github.com']
    })
print("Original DataFrame:")
print(df)
def find_email(text):
    email = re.findall(r'[\w\.-]+@[\w\.-]+',str(text))
    return ",".join(email)
df['email']=df['name_email'].apply(lambda x: find_email(x))
print("\Extracting email from dataframe columns:")
print(df)

Sample Output:

Original DataFrame:
                    name_email
0  Alberto Franco af@gmail.com
1    Gino Mcneill gm@yahoo.com
2        Ryan Parkes rp@abc.io
3                 Eesha Hinton
4   Gino Mcneill gm@github.com
\Extracting email from dataframe columns:
                    name_email          email
0  Alberto Franco af@gmail.com   af@gmail.com
1    Gino Mcneill gm@yahoo.com   gm@yahoo.com
2        Ryan Parkes rp@abc.io      rp@abc.io
3                 Eesha Hinton               
4   Gino Mcneill gm@github.com  gm@github.com

For more Practice: Solve these Related Problems:

Write a Pandas program to extract email addresses from a string column using regex and then output a new column with the emails.
Write a Pandas program to filter and extract valid email addresses from a DataFrame column and then count their occurrences.
Write a Pandas program to capture emails embedded in text of a column using regex and then verify by listing unique emails.
Write a Pandas program to extract email addresses from messy text in a column and then standardize them to lower case.

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Python Code Editor:

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