Pandas: Remove the html tags within the specified column of a given DataFrame
Pandas: String and Regular Expression Exercise-41 with Solution
Write a Pandas program to remove the html tags within the specified 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 <b>Avenue</b>','92 N. Bishop Avenue','9910 <br>Golden Star Avenue', '102 Dunbar <i></i>St.', '17 West Livingston Court']
})
print("Original DataFrame:")
print(df)
def remove_tags(string):
result = re.sub('<.*?>','',string)
return result
df['with_out_tags']=df['address'].apply(lambda cw : remove_tags(cw))
print("\nSentences without tags':")
print(df)
Sample Output:
Original DataFrame: company_code ... address 0 Abcd ... 9910 Surrey Avenue 1 EFGF ... 92 N. Bishop Avenue 2 zefsalf ... 9910
Golden Star Avenue 3 sdfslew ... 102 Dunbar St. 4 zekfsdf ... 17 West Livingston Court [5 rows x 3 columns] Sentences without tags': company_code ... with_out_tags 0 Abcd ... 9910 Surrey Avenue 1 EFGF ... 92 N. Bishop Avenue 2 zefsalf ... 9910 Golden Star Avenue 3 sdfslew ... 102 Dunbar St. 4 zekfsdf ... 17 West Livingston Court [5 rows x 4 columns]
Python Code Editor:
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