Pandas: Extract the sentences where a specific word is present in a given column of a given DataFrame
Pandas: String and Regular Expression Exercise-38 with Solution
Write a Pandas program to extract the sentences where a specific word is present in a given column of a given DataFrame.
Sample Solution:
Python Code :
import pandas as pd
import re as re
df = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'zefsalf', 'sdfslew', 'zekfsdf'],
'date_of_sale': ['12/05/2002','16/02/1999','05/09/1998','12/02/2022','15/09/1997'],
'address': ['9910 Surrey Avenue','92 N. Bishop Avenue','9910 Golden Star Avenue', '102 Dunbar St.', '17 West Livingston Court']
})
print("Original DataFrame:")
print(df)
def pick_only_key_sentence(str1, word):
result = re.findall(r'([^.]*'+word+'[^.]*)', str1)
return result
df['filter_sentence']=df['address'].apply(lambda x : pick_only_key_sentence(x,'Avenue'))
print("\nText with the word 'Avenue':")
print(df)
Sample Output:
Original DataFrame: company_code date_of_sale address 0 Abcd 12/05/2002 9910 Surrey Avenue 1 EFGF 16/02/1999 92 N. Bishop Avenue 2 zefsalf 05/09/1998 9910 Golden Star Avenue 3 sdfslew 12/02/2022 102 Dunbar St. 4 zekfsdf 15/09/1997 17 West Livingston Court Text with the word 'Avenue': company_code ... filter_sentence 0 Abcd ... [9910 Surrey Avenue] 1 EFGF ... [ Bishop Avenue] 2 zefsalf ... [9910 Golden Star Avenue] 3 sdfslew ... [] 4 zekfsdf ... [] [5 rows x 4 columns]
Python Code Editor:
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Previous: Write a Pandas program to extract only words from a given column of a given DataFrame.
Next: Write a Pandas program to extract the unique sentences from a given column of a given DataFrame.
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Python: Cache results with decorators
There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.
Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.
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Output:
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