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