Pandas: Check whether two given words present in a specified column of a given DataFrame

Last update on May 02 2025 12:51:43 (UTC/GMT +8 hours)

35. Check Two Words Presence in Column

Write a Pandas program to check whether two given words present in a specified column 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({
    'company_code': ['c0001','c0002','c0003', 'c0003', 'c0004'],
    'address': ['9910 Surrey Ave.','92 N. Bishop Ave.','9910 Golden Star Ave.', '102 Dunbar St.', '17 West Livingston Court']
    })
print("Original DataFrame:")
print(df)
def test_and_cond(text):
    result = re.findall(r'(?=.*Ave.)(?=.*9910).*', text) 
    return " ".join(result)
df['check_two_words']=df['address'].apply(lambda x : test_and_cond(x))
print("\nPresent two words!")
print(df)

Sample Output:

Original DataFrame:
  company_code                   address
0        c0001          9910 Surrey Ave.
1        c0002         92 N. Bishop Ave.
2        c0003     9910 Golden Star Ave.
3        c0003            102 Dunbar St.
4        c0004  17 West Livingston Court

Present two words!
  company_code                   address        check_two_words
0        c0001          9910 Surrey Ave.       9910 Surrey Ave.
1        c0002         92 N. Bishop Ave.                       
2        c0003     9910 Golden Star Ave.  9910 Golden Star Ave.
3        c0003            102 Dunbar St.                       
4        c0004  17 West Livingston Court

For more Practice: Solve these Related Problems:

Write a Pandas program to verify if two specified words are both present in each string of a DataFrame column.
Write a Pandas program to create a boolean column that indicates whether two target words appear together in a specified column.
Write a Pandas program to filter rows based on the presence of two given words in a column using a regex pattern.
Write a Pandas program to check for the occurrence of two separate substrings in each row of a column and then count the matching rows.

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Python Code Editor:

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